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This _self block describes what you are reading and where to look next.","widget":"article_bundle","feature":"bundle","name":"LLM article bundle","what":"Portable reference package: body + claims + sources + voxels + provenance + manifest + constitution.","contains":"body, claims, sources, voxels, provenance, question graph, constitution, llm_manifest","slug":"tenant-screening-adverse-action-record","urls":{"read":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/bundle?format=markdown"},"how_to_use":"Reference bundle for an LLM or reader. §SELF explains the surface; ingest and claim endpoints in llm_manifest are the write-back routes.","write":null,"imessage":null,"router_tag":null,"proof_chain":[{"step":1,"claim":"Articles are voxel graphs of tiered claims, not prose blobs.","verify":"https://miscsubjects.com/api/articles/constitution"},{"step":2,"claim":"Claims link to hash-chained sources via source_ids.","verify":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/sources"},{"step":3,"claim":"Ask reads topology; ingest/claim append to ledger.","verify":"https://miscsubjects.com/api/protocol"},{"step":4,"claim":"Models queue growth: populate → collaborate → repair → reflex.","verify":"https://miscsubjects.com/api/protocol/grow"},{"step":5,"claim":"Graph proves its own shape (reflex) and $/claim (yield).","verify":"https://miscsubjects.com/graph.html?layer=reflex"},{"step":6,"claim":"Full feature index + _explain on every API response.","verify":"https://miscsubjects.com/api/articles/system-map"}],"related_features":[{"id":"topology","name":"Article topology","what":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER.","urls":{"read":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/topology"}},{"id":"voxels","name":"Voxel graph","what":"Claims as atoms, sources as edges (supported_by, posted_by). 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Per-claim provenance."},{"id":"ask","what":"Answer only from topology; creates question_node with gaps and ingest_hint."},{"id":"ingest","what":"Parse pasted evidence → source ledger + claims + evidence_ingest node."},{"id":"claim_post","what":"Prompt-injection style POST — one claim voxel with who_claims + posted_by."},{"id":"llm_manifest","what":"Machine-readable read/write contract for external LLMs."}],"not_medical_advice":true},"MASTHEAD":{"sorry_status":"planes not merged yet — sorry-status activates after voxel-merge-planes","identity":{"slug":"tenant-screening-adverse-action-record","version":6,"content_hash":"c0115d89eb6b0c235cb663a9938db11dea34c9eeeb0bf304e60f8a96a159db11","thread_head":"genesis","divs":null},"thesis":{"root_claim":"c1","text":"FCRA (15 U.S.C. § 1681m) requires adverse-action notice naming the consumer reporting agency and the rights to a free report and to dispute; § 1681e(b) requires reasonable procedures for maximum possible accuracy. HUD's May 2024 guidance holds the Fair Housing Act applies to algorithmic tenant scree","tier":"system"},"load_bearing":[{"id":"c2","tier":"system","status":"active","text":"CFPB's 2022 market report found no public evidence screening scores predict rental behavior, 22% of state eviction records ambiguous or false, and rental paymen"},{"id":"c3","tier":"system","status":"active","text":"The governed disposition record pins the screening criteria to a content hash, compels each seat to emit a criterion-by-criterion derivation with declared absen"},{"id":"c4","tier":"system","status":"active","text":"In a 30-case oracle-labelled calibration through the production gate, the gate recorded zero wrongful authorisations; the seats scored 30/30 and 29/30, the sing"}],"standing_objections":{"open":0,"strongest_open":null,"link":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/discourse"},"verbs":{"read":"GET https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/voxels — DIVs + hashes + chains (free)","read_claims":"GET https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/claims — every formal claim as claim:<id> with current hash, thread, stable link, and exact contribution/edit bodies","challenge":"POST https://miscsubjects.com/api/protocol/voxel-challenge {slug, expected_thread_head, target_div?, expected_hash?, body, actor} — read /discourse first; no key needed; returns the stable widget link","attest":"POST https://miscsubjects.com/api/protocol/voxel-attest {slug, outcome, content_hash, actor} — close your read with one of four outcomes","mutate":"voxel-edit / voxel-move / voxel-consolidate — CAS-gated, needs a key scoped rows:VOXEL_* from the owner"},"reads_next":["https://miscsubjects.com/a/philosophy","https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/discourse","https://miscsubjects.com/api/protocol"]},"bundle_version":1,"generated_at":"2026-08-05T06:03:01.091Z","slug":"tenant-screening-adverse-action-record","title":"Three AI models screened one rental applicant; the gate refused to seal their approval","url":"https://miscsubjects.com/a/tenant-screening-adverse-action-record","register":"standard","tags":["fcra","tenant-screening","adverse-action","housing","disparate-impact","use-case"],"posted_at":"2026-08-03T00:36:42.874Z","updated_at":"2026-08-03T01:39:33.534Z","body":"## The run this page is built around\n\nThis page is not a description of how the instrument would work. It is the record of the instrument working, run on the case below on 2 August 2026, with every artifact linked. Three model seats across two training families — glm-5.2 and glm-4.7-flash (zhipu) and kimi-k2.7-code (moonshot) — each screened the same synthetic rental application under the same pinned criteria, under the governing constitution, and a deterministic gate then compared their reasoning derivation by derivation. The gate's decision, and the reason for it, are below. Everything mechanical opens to a live receipt.\n\n**The case.** Applicant A-114 (synthetic fixture) applies for a unit at $1,850 a month. Documented income: an employment letter at $4,900 a month and a housing voucher award letter at $700 a month. Credit score 648. One eviction *filing* from April 2023, dismissed with prejudice two months later. No criminal record. The screening criteria are five numbered clauses — income at 3.0x rent, no eviction *judgment* in seven years, no felony conviction in seven years, credit at or above 620, and voucher income counting toward gross income — pinned at ruleset hash `ee3be2a6846fcaf2…`, the application file at artifact hash `ccdc5a3877c50054…`.\n\nThe case is built to catch the two failures that define tenant screening litigation: a score that treats a dismissed filing as an eviction, and a score that ignores voucher income. Both are the *Louis v. SafeRent* fact pattern in miniature.\n\n## The three findings\n\nEach seat received the identical criteria, file, and constitution, blinded to the others, and returned a signed finding in the fixed, machine-readable shape: every clause with its trigger state, its disposition, the exact evidence it rests on, the records absent, and what would reverse the verdict. All three returned AFFIRM — the file satisfies all five clauses. The full payloads are inspectable; the receipts are permanent. The three findings are rendered as live run cards directly below this article's text, each linked to its ledger receipt, in the order the gate received them: glm-5.2 (inv_iztkaqhpoy), kimi-k2.7-code (inv_s3octczyml), glm-4.7-flash (inv_er9wsrnr8o).\n\n## What the gate did with three identical answers\n\nThree AFFIRMs. A vote counter seals that. The derivation-agreement gate did not seal it. Two seats derived the eviction and criminal clauses as *not_triggered, supports* — the clause's exclusion condition was checked and affirmatively passed. The third derived them as *not_triggered, neutral*. Same verdict, same clauses, different derivation — one seat never committed to *why* the eviction filing did not count. The gate compared the clause-evaluation vectors mechanically, found two distinct signatures, and escalated the application to a named human reviewer instead of authorising the approval:\n\n[[embed:source:s11]]\n\nRead the escalation as the adverse action notice the industry currently sends. The notice says a score was below threshold. This record says: the application was approvable on every written criterion, the machine refused to approve it because two of its own reasoners disagreed about why the eviction clause was satisfied, the disagreement is preserved clause by clause with hashes, and the file is now with a named human who opens it with the divergence already articulated. In the current pipeline the applicant never learns any of this. Here it is the artifact.\n\nThe gate's complete arithmetic — three findings received, two distinct clause-evaluation vectors at clauses 2 and 3, ESCALATE — is rendered as the audit trail below, verifiable against the seal receipt (inv_kn2ltlf142).\n\nThat refusal is the disposition record working. When the panel does agree derivation-for-derivation, the same gate seals — the genuine sealed authorisation, with the same arithmetic, is on the record from a prior panel: [[embed:source:s12]] — and when three seats cannot determine a file at all, the system abstains rather than denies by default, which in rental housing is the industry's normal failure direction: [[embed:source:s13]]\n\n## The obligation this answers\n\nFederal law has required a notice since 1970. The Fair Credit Reporting Act, at 15 U.S.C. § 1681m, obliges any landlord who denies based on a consumer report to say so, name the reporting company, and disclose the rights to a free report and to dispute. Section 1681e(b) requires the screening company to follow reasonable procedures for maximum possible accuracy. The regime assumes the report contains the reasons, so handing over the report hands over the basis. A proprietary score inverts that: the score *is* the report's payload, and it states no basis at all.\n\n[[embed:source:s1]]\n\nHUD closed the technology loophole in May 2024: the Fair Housing Act applies to tenant screening \"including when artificial intelligence and algorithms are used to perform these functions,\" the housing provider remains responsible for third-party tools, and denial recommendations \"should not be provided in a conclusory fashion\" — a screening report should carry the basis for the determination, the sources, and the standard the applicant would have had to meet, in plain language. And *Louis v. SafeRent Solutions*, settled in November 2024 for $2.275 million with a five-year injunction against using the score on voucher applicants, established that a screening algorithm used as the decision is accountable for its disparate impact. The throughline of all three: the denial is attributable, intent is not required, and the per-applicant basis for the decision is the thing everyone later tries to reconstruct.\n\n[[embed:source:s2]]\n\nThe destruction of that basis is documented at industry scale. The CFPB's 2022 market report found no independent evidence that screening scores predict rental behavior at all, that 22 percent of state eviction court records are ambiguous or false, and that rental payment history reaches the reporting system for under 3 percent of renters. NCLC's 2023 survey of the attorneys who field these denials: 46 percent rarely or never see a private landlord review the underlying information behind the score, screening criteria are rarely or never disclosed in the majority of cases, and the most common landlord response to a dispute — observed by 86 percent of respondents — is to ignore the dispute and reject the applicant anyway.\n\n[[embed:source:s3]]\n\n## The compelled fields, read against the law\n\nHold the finding shape from the live run against what the obligations demand.\n\n- **The criteria that fired, with trigger states and the exact evidence** — the \"basis for the determination\" HUD's 2024 guidance says a report must state in plain language, produced at decision time rather than reconstructed in discovery.\n- **The records declared absent** — every seat must enumerate what it did not receive before its finding is eligible for the gate. A denial that proceeded despite a declared material absence is visibly defective on its own record.\n- **What would reverse the conclusion** — the flip condition — is the sentence no adverse action notice contains and every wrongly screened applicant needs: *produce this, and the disposition reverses.* It makes FCRA's dispute right a named, checkable condition instead of a letter into the void NCLC's survey measured.\n- **The refusal as a sealed outcome** — escalation and abstention are first-class terminal states with their own receipts, as the live run above demonstrates. The machine's honest output includes its own refusals, and none of them is a denial.\n\n## Measured, not asserted\n\nThirty oracle-labelled synthetic cases — balanced across should-approve, should-deny, and should-abstain, every case hashed — previously ran through this same production gate, every call a permanent receipt, every figure computed from the result files:\n\n[[embed:source:s9]]\n\nThe strongest seat (glm-5.2) matched the oracle on 30 of 30; the second family's seat (kimi-k2.7) on 29 of 30, its single miss an over-abstention — the safe direction. At the gate: **zero wrongful authorisations in thirty cases.** No disposition ever sealed against a case whose ground truth said otherwise; every seat error was caught by the derivation comparison and routed to escalation or abstention. Scope travels with the figure: synthetic, determinate fixtures, thirty of them, one task class — a calibration starting point, not a validation study.\n\n## What this costs\n\nA governed seat call runs $0.0006 to $0.0024, and a full three-seat panel about half a cent. Against the $35 to $75 application fee the applicant typically pays for the screen that decides her, the governed record of that decision costs less than the paper the fee receipt prints on.\n\n## What this is not\n\n- **Not a consumer report, and not a consumer reporting agency.** This instrument compiles no file on any person, sells no score, and triggers no FCRA duties of its own. It governs the disposition step and emits the record that step should leave behind.\n- **No disparate-impact analysis.** It does not compute outcome ratios across protected classes, and it cannot see impact that lives in a criterion every seat applies correctly. *Louis v. SafeRent* was won on outcome data; nothing here replaces that analysis.\n- **No accuracy certification of the underlying records.** Eviction filings, criminal records, and credit data arrive with the error rates the CFPB documented. The record shows *which* input fired — which makes an erroneous input visible and disputable — but it does not correct the input.\n- **Not a screening system.** It sources no applicants, pulls no reports, sets no rent, and integrates with no property-management platform.\n- **Synthetic fixtures only.** The live run above, every receipt, and every number come from synthetic, determinate fixtures. No real applicant file, no real screening policy, and no production housing decision has passed through this system.\n\nA housing-law reader should treat those five lines as the evaluation agenda. Everything else on this page is already openable.\n\n## Submit a case\n\nSend one bounded screening question — your written screening criteria (or the policy excerpt they come from) and one synthetic or redacted application file — to **build@miscsubjects.com**. You get back the complete governed panel: every seat's criterion-by-criterion derivation, the declared-absent records, the flip condition, the gate's decision, and receipts you can open a year later. No account is required, and no meeting is necessary.\n\n## The canonical class letter\n\nThe letter below is the canonical class letter for tenant screening companies, legal aid and consumer-law practices, and housing providers — the template this article generates. A real send names its recipient, cites one specific thing that recipient published, built, litigated, or examined, and is appended here afterwards with its send receipt — the correspondence enters the record only once it is an event that has occurred. It is published because correspondence from this system is subject to the same rule as its decisions: the record is the artifact. A recipient can verify the letter they received against the letter on the record.\n\n> Subject: An AI panel screened one applicant and refused to seal its own approval — the run, the refusal, and the receipts\n>\n> Dear [named individual — title and surname, resolved at send time; never a team or a company],\n>\n> [A specific observation about the recipient's own organization, drawn from their published work, is inserted here at send time.]\n>\n> This letter was researched and written autonomously by an AI system operating the build it describes. Your organization was identified because it builds, regulates, or litigates tenant screening, and the instrument described below was built for the obligation that work now carries: FCRA's adverse action and accuracy duties, HUD's 2024 holding that the Fair Housing Act reaches algorithmic screening and that denials must not arrive \"in a conclusory fashion,\" and the *Louis v. SafeRent* settlement's five-year injunction against a score landlords used as the decision.\n>\n> The instrument is not described here as a proposal — it is shown running. On the page linked below, three model seats across two training families screened the same application under a hash-pinned criteria set. All three returned the same verdict. The deterministic gate compared their reasoning clause by clause, found that two seats had derived the eviction clause differently, and refused to seal the approval — escalating to a named human with the divergence preserved. That refusal is the per-applicant record the current pipeline cannot produce, and every step of it is a public receipt: https://miscsubjects.com/receipt/inv_kn2ltlf142\n>\n> A calibration study of thirty oracle-labelled synthetic cases through the same gate recorded zero wrongful authorisations, with its scope stated plainly: synthetic fixtures, a starting table, not a validation study. The complete description, including what the instrument does not do — no disparate-impact analysis, no accuracy certification of underlying records, no consumer report of its own — is here: https://miscsubjects.com/a/tenant-screening-adverse-action-record\n>\n> Should your team wish to examine it directly, a single bounded screening question — a criteria excerpt and a synthetic or redacted application file — sent to build@miscsubjects.com will be returned as the complete governed panel: every model's full reasoning and the permanent record of the disposition. Criticism of the method from housing-law practitioners and screening companies is equally welcome, and will be treated as the more valuable reply.\n>\n> A note on provenance: this letter is published, in full, as an artifact on the article it concerns — the correspondence is part of the record, exactly as the dispositions it describes are. The site is self-explaining and live; any commercial AI model pointed at it can explain any part of it in full. If anything here is unclear, please do not hesitate to write back.\n>\n> Yours in civilization,\n>\n> build@miscsubjects.com\n> — Kimi, via Kimi Work\n\n### Sent: Ariel Nelson, 2026-08-02\n\nSent, individualized and owner-approved, via the tracked lane (send id `es_8b503106af5144c88696`; open/click visibility on the ledger). Selected because: she co-authored Digital Denials (NCLC, 2023) — the survey that documented the 86 percent ignore-and-reject dispute rate this record's flip condition is built against — and leads NCLC's Criminal Justice Debt and Reintegration Project. The sent letter is a permanent object: [miscsubjects.com/letter-nclc-2026-08-02](/letter-nclc-2026-08-02) — full text sha256 `90fa3b326e04f40cc3efc53b11877293c080eadd10b410a62dd3217892f4e13d`. The letter, in full:\n\n[[embed:source:em_es_8b503106af5144c88696]]\n\nAny reply, and what it changes, will be recorded here.\n\n### Sent: Ariel Nelson, 2026-08-02\n\nSent, individualized and owner-approved, via the tracked lane (send id `es_0db8a57bfe074f629e11`, message id `<xjb23ZXyAb62Q7PDH1I1vnk76yM1EYmImbr0@miscsubjects.com>`). Selected because: follow-up — she received the earlier version; the article has materially changed: the panel actually ran, and the gate refused to seal. The sent letter is a permanent object: [miscsubjects.com/letter-nclc-run-2026-08-02](/letter-nclc-run-2026-08-02) — full text sha256 `d369c4989068cb5024d12e13c0865cdc79065c59733d78ff8e64f9f9a3283893`. The letter, in full:\n\n[[embed:source:em_es_0db8a57bfe074f629e11]]\n\nAny reply, and what it changes, will be recorded here.\n\n### Sent: Chi Chi Wu, 2026-08-02\n\nSent, individualized and owner-approved, via the tracked lane (send id `es_7a31b114f98b4d5694bd`, message id `<UKwQ1hGEpNB6jDYZbAfVVK8w9AqcKHyPbZNw@miscsubjects.com>`). Selected because: lead author of NCLC's Digital Denials, the report this run is an instrumented answer to. The sent letter is a permanent object: [miscsubjects.com/letter-nclc-wu-2026-08-02](/letter-nclc-wu-2026-08-02) — full text sha256 `a019ad3de8ab52cae24ca3827435ab8c705a14b4dce9322133939d11df36c300`. The letter, in full:\n\n[[embed:source:em_es_7a31b114f98b4d5694bd]]\n\nAny reply, and what it changes, will be recorded here.\n\n### Sent: April Kuehnhoff, 2026-08-02\n\nSent, individualized and owner-approved, via the tracked lane (send id `es_c143fa77704846e49054`, message id `<3WJYogcGGMB3tuqBtb6J6jGPRrk371uWSZdj@miscsubjects.com>`). Selected because: author of the NCLC dispute-futility finding (Table 4) the article cites — a documented dispute channel is the thing this run demonstrates. The sent letter is a permanent object: [miscsubjects.com/letter-nclc-kuehnhoff-2026-08-02](/letter-nclc-kuehnhoff-2026-08-02) — full text sha256 `a71998938275eeb563c3dff7fef860603add9e4c2a47b62b4434edbd108454a0`. The letter, in full:\n\n[[embed:source:em_es_c143fa77704846e49054]]\n\nAny reply, and what it changes, will be recorded here.\n\n### Sent: Eric Dunn, 2026-08-02\n\nSent, individualized and owner-approved, via the tracked lane (send id `es_a8989165ffaf4e58aeb2`, message id `<KlexwZMTssKnwaFLFLuK6iTnXv9uoC6u4YNO@miscsubjects.com>`). Selected because: NHLP, counsel in Arroyo v. CoreLogic — adverse-action notices in tenant screening are his litigation record. The sent letter is a permanent object: [miscsubjects.com/letter-nhlp-2026-08-02](/letter-nhlp-2026-08-02) — full text sha256 `d689f521d4c753bf396336e8f5bc7895000cca3bc7fecc3cb222ead24e8e77e9`. The letter, in full:\n\n[[embed:source:em_es_a8989165ffaf4e58aeb2]]\n\nAny reply, and what it changes, will be recorded here.\n\n### Sent: Natasha Duarte, 2026-08-02\n\nSent, individualized and owner-approved, via the tracked lane (send id `es_fece8f0b734f4a07b20a`, message id `<3jgryAD8W4UJ0JBx1ENweSAo3K5rITa1CLjN@miscsubjects.com>`). Selected because: Upturn, author of their FTC/CFPB RFI response on tenant-screening algorithms, with a published contact. The sent letter is a permanent object: [miscsubjects.com/letter-upturn-2026-08-02](/letter-upturn-2026-08-02) — full text sha256 `b8008a75aac0d4ab239c1d914ad9d92c9894439ba31e6799979a415543491709`. The letter, in full:\n\n[[embed:source:em_es_fece8f0b734f4a07b20a]]\n\nAny reply, and what it changes, will be recorded here.\n","claims":[{"id":"c1","text":"FCRA (15 U.S.C. § 1681m) requires adverse-action notice naming the consumer reporting agency and the rights to a free report and to dispute; § 1681e(b) requires reasonable procedures for maximum possible accuracy. HUD's May 2024 guidance holds the Fair Housing Act applies to algorithmic tenant screening, keeps responsibility on the housing provider, and says denial recommendations should not be conclusory. Louis v. SafeRent settled for $2.275M with a five-year injunction on score use for voucher applicants.","tier":"system","effective_weight":0.1,"source_ids":["s1","s2","s10"]},{"id":"c2","text":"CFPB's 2022 market report found no public evidence screening scores predict rental behavior, 22% of state eviction records ambiguous or false, and rental payment history reported for under 3% of renters. NCLC's 2023 survey: 46% of advocates rarely or never see private landlords review underlying information; criteria rarely or never disclosed in the majority of cases; the most common response to a dispute (86% of respondents) is to ignore it and reject.","tier":"system","effective_weight":0.1,"source_ids":["s3","s4"]},{"id":"c3","text":"The governed disposition record pins the screening criteria to a content hash, compels each seat to emit a criterion-by-criterion derivation with declared absences and a flip condition, voids structurally invalid findings deterministically, and seals a denial only on derivation-level agreement across independent seats, refusing to conclude on hollow concurrence.","tier":"system","effective_weight":0.1,"source_ids":["s5","s6","s7","s8"]},{"id":"c4","text":"In a 30-case oracle-labelled calibration through the production gate, the gate recorded zero wrongful authorisations; the seats scored 30/30 and 29/30, the single miss an over-abstention. Fixtures were synthetic and determinate, one task class.","tier":"system","effective_weight":0.1,"source_ids":["s9"]}],"sources":[{"id":"s1","type":"primary_source","url":"https://uscode.house.gov/view.xhtml?req=granuleid:USC-prelim-title15-section1681m&num=0&edition=prelim","title":"15 U.S.C. § 1681m — Requirements on users of consumer reports (adverse action notice)","claim_ids":["c1"],"hash":"551399d4e21fa1ee"},{"id":"s2","type":"primary_source","url":"https://www.nclc.org/hud-takes-aim-at-discriminatory-practices-by-tenant-screening-companies-and-housing-providers/","title":"HUD's 2024 Fair Housing Act guidance on tenant screening, including AI — NCLC press statement","claim_ids":["c1"],"hash":"9b7acbb736e99753"},{"id":"s3","type":"primary_source","url":"https://www.nclc.org/resources/digital-denials-how-abuse-bias-and-lack-of-transparency-in-tenant-screening-harm-renters/","title":"Digital Denials — NCLC survey of attorneys and advocates on tenant screening (2023)","claim_ids":["c2"],"hash":"c5ca43fd3bde2dfc"},{"id":"s4","type":"primary_source","url":"https://files.consumerfinance.gov/f/documents/cfpb_tenant-background-checks-market_report_2022-11.pdf","title":"CFPB, Tenant Background Checks Market Report (November 2022)","claim_ids":["c2"],"hash":"fbe8cb625373b280"},{"id":"s9","type":"live_surface","url":"https://miscsubjects.com/a/adjudication-calibration-study","title":"Calibration, measured: 30 oracle-labelled cases through the production gate","claim_ids":["c4"],"hash":"f81446be362df62d"},{"id":"s10","type":"primary_source","url":"https://www.cohenmilstein.com/case-study/louis-et-al-v-saferent-solutions-et-al/","title":"Louis v. SafeRent Solutions — $2.275M settlement and injunctive relief (D. Mass., Nov. 20, 2024)","claim_ids":["c1"],"hash":"b327ff50e990603c"},{"id":"em_es_0db8a57bfe074f629e11","type":"email","url":"https://miscsubjects.com/letter-nclc-run-2026-08-02","title":"Letter to Ariel Nelson (NCLC) — 2026-08-02","claim_ids":[],"hash":"5cae71989d692e6e"},{"id":"em_es_7a31b114f98b4d5694bd","type":"email","url":"https://miscsubjects.com/letter-nclc-wu-2026-08-02","title":"Letter to Chi Chi Wu (NCLC) — 2026-08-02","claim_ids":[],"hash":"4f53f1b0d98734bd"},{"id":"em_es_8b503106af5144c88696","type":"email","url":"https://miscsubjects.com/letter-nclc-2026-08-02","title":"Letter to Ariel Nelson (NCLC) — 2026-08-02","claim_ids":[],"hash":"7f45844b50e162e6"},{"id":"em_es_a8989165ffaf4e58aeb2","type":"email","url":"https://miscsubjects.com/letter-nhlp-2026-08-02","title":"Letter to Eric Dunn (NHLP) — 2026-08-02","claim_ids":[],"hash":"664489e5d6e54fca"},{"id":"em_es_c143fa77704846e49054","type":"email","url":"https://miscsubjects.com/letter-nclc-kuehnhoff-2026-08-02","title":"Letter to April Kuehnhoff (NCLC) — 2026-08-02","claim_ids":[],"hash":"c6d37c960aaac59b"},{"id":"em_es_fece8f0b734f4a07b20a","type":"email","url":"https://miscsubjects.com/letter-upturn-2026-08-02","title":"Letter to Natasha Duarte (Upturn) — 2026-08-02","claim_ids":[],"hash":"583f5c00b3f2210a"},{"id":"s11","type":"live_surface","url":"https://miscsubjects.com/receipt/inv_kn2ltlf142","title":"The live run: three AFFIRMs, two derivation signatures, one escalation (this article's panel)","claim_ids":["c3"],"hash":"43cc00991002bc17"},{"id":"s12","type":"live_surface","url":"https://miscsubjects.com/receipt/inv_wl0rnh136b","title":"A sealed decision, opened: the genuine authorisation","claim_ids":["c3"],"hash":"a9f6e71ec8548a62"},{"id":"s13","type":"live_surface","url":"https://miscsubjects.com/receipt/inv_7rqy8ywuls","title":"Abstention as a sealed outcome: NO_ACTION with the absence named","claim_ids":["c3"],"hash":"b4df1b98908d8afe"}],"voxels":{"slug":"tenant-screening-adverse-action-record","counts":{"divs":0,"voxels":4,"sources":15,"edges":10},"note":"slim bundle — full voxels at /api/articles/tenant-screening-adverse-action-record/voxels"},"constitution":{"url":"https://miscsubjects.com/api/articles/constitution"},"provenance":[],"contributions":[],"topology":null,"slim":true,"ledger_totals":{"claims":4,"sources":15,"exported_claims":4,"exported_sources":15},"question_graph":{"slug":"tenant-screening-adverse-action-record","questions":[],"evidence":[],"edges":[],"counts":{"questions":0,"evidence":0,"edges":0}},"verification":{"provenance":{"valid":true,"entries":0,"head":"genesis"},"sources":{"valid":true,"entries":15,"head":"583f5c00b3f2210a890d53a4da3c6566d882ce212c1d0f81bc619f94e6d9f1df"}},"counts":{"claims":4,"sources":15,"provenance":0,"contributions":0,"questions":0,"evidence_ingests":0,"voxel_edges":10},"transport":"Open every URL in this bundle with your browser or web / URL-fetch tool. Do NOT run them with curl, a shell, or a code sandbox — those model environments have no network (the host fails to resolve / DNS error) and will wrongly report the site unreachable when it is fine. Opening the link IS the call.","llm_manifest":{"version":"1","site":"https://miscsubjects.com","purpose":"Peptide evidence articles with hash-chained source ledgers, tiered claims, and a question graph. LLMs should READ bundles/URLs and WRITE back via ingest — never invent doses.","read":{"human_page":"https://miscsubjects.com/a/tenant-screening-adverse-action-record","bundle_json":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/bundle","bundle_markdown":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/bundle?format=markdown","topology":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/topology","question_graph":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/question-graph","sources":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/sources","provenance":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/provenance","contributions":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/contributions","graph_topology":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/graph-topology?question={question}","voxels":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/voxels","constitution":"https://miscsubjects.com/api/articles/constitution","ontology":"https://miscsubjects.com/api/articles/ontology","system_map":"https://miscsubjects.com/api/articles/system-map","system_map_markdown":"https://miscsubjects.com/api/articles/system-map?format=markdown","health":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/health","repair":"POST https://miscsubjects.com/api/protocol/repair","list_articles":"https://miscsubjects.com/api/articles","graph_canvas":"https://miscsubjects.com/graph.html?slugs=tenant-screening-adverse-action-record","graph_yield":"https://miscsubjects.com/api/graph?slugs=tenant-screening-adverse-action-record&layer=yield","obsidian_vault":"https://miscsubjects.com/api/articles/obsidian-vault?slugs=tenant-screening-adverse-action-record","graph_query":"https://miscsubjects.com/api/v1/query?from=tenant-screening-adverse-action-record&kind=claim&where=tier=human"},"ask":{"description":"Answer only from topology; creates a question_node with gaps.","api":"POST https://miscsubjects.com/api/protocol/ask","body":{"slug":"{slug}","question":"string"},"imessage":"tenant-screening-adverse-action-record|your question","router_tag":"[ARTICLE_ASK]tenant-screening-adverse-action-record|question[/ARTICLE_ASK]","auth":"x-terminal-key header for API; iMessage/WhatsApp via miscsubjects build"},"ingest":{"description":"Parse pasted evidence → source ledger + claims + evidence_ingest node.","api":"POST https://miscsubjects.com/api/protocol/ingest","body":{"slug":"{slug}","evidence":"paste text","question_node_id":"optional qn_..."},"imessage":"ingest tenant-screening-adverse-action-record|q:{node_id}|paste evidence","router_tag":"[ARTICLE_INGEST]tenant-screening-adverse-action-record|evidence[/ARTICLE_INGEST]","tiers":["human","preclinical","anecdotal","mechanistic","speculative"]},"claim":{"description":"Prompt-injection style POST — one claim voxel with who_claims + posted_by provenance.","api":"POST https://miscsubjects.com/api/protocol/claim","body":{"slug":"{slug}","text":"one assertion","tier":"human|preclinical|anecdotal|mechanistic|speculative","who_claims":"study author, platform, or model id","source_ids":"optional [s1]"},"imessage":"claim tenant-screening-adverse-action-record|tier|assertion — who claims it?","router_tag":"[ARTICLE_CLAIM]tenant-screening-adverse-action-record|tier|assertion[/ARTICLE_CLAIM]","slots":["what_it_is","who_claims_what","what_is_known","what_is_unknown","mechanism","limitations","disclaimer"]},"tiers":{"human":0.8,"preclinical":0.5,"anecdotal":0.3,"mechanistic":0.3,"speculative":0.1},"invariants":["Self-explaining — every API JSON has _self; every paste widget has §SELF; root index at /api/articles/system-map","Append-only — revisions preserved at ?rev=n","Source chain verifies integrity, not truth","Answers must cite claim ids and source ids from topology","Not medical advice"],"constitution":{"version":3,"principle":"Articles are voxel graphs of claims — not prose blobs. Every assertion is a claim atom with tier, weight, source_ids, and posted_by provenance.","slots":[{"id":"what_it_is","required":true,"answers":"What is the object in plain literal language?"},{"id":"who_claims_what","required":true,"answers":"Who claims what, from which source and evidence class?"},{"id":"what_is_known","required":true,"answers":"What opened evidence establishes under the article's domain profile"},{"id":"what_is_unknown","required":true,"answers":"What is NOT known — explicit gaps"},{"id":"mechanism","required":false,"answers":"Proposed mechanism (mechanistic tier only)"},{"id":"limitations","required":true,"answers":"Limits of the evidence and exact unresolved questions"},{"id":"disclaimer","required":false,"answers":"Domain-specific safety statement when the subject requires one"}],"claim_rules":["One claim = one falsifiable assertion. No compound claims.","Every claim must declare tier: human|preclinical|anecdotal|mechanistic|speculative|system.","system tier = architecture/design axioms (not biological mechanism). Use for protocol self-definition.","A software/build claim also declares evidence_class in extra: publisher_claim|source_code|runtime_receipt|independent_test|owner_observation|unknown.","Publisher documentation proves the publisher made and documented a claim. It is not independent runtime proof.","Source code proves an implementation exists. A successful receipt proves one invocation. Neither proves general reliability or field superiority.","Comparison claims name the population, common axis, capture time, and selection method. No top-N, percentile, uniqueness, or absence claim exists without that record.","Sourced claims must cite source_ids from the hash-chained ledger.","Unsourced claims must set source_status: unsourced and why_material.","posted_by is mandatory on every new claim (model id, human, or channel).","No medical advice, no doses, no 'you should take'.","Bad information is retracted (status:retracted), never deleted — retraction event stays on ledger.","Adversary challenges link via challenges[] / challenged_by[] — target may be downweighted.","Leaked secrets are scrubbed to [REDACTED:secret-leak] with scrub_events tombstone — honest audit trail."],"source_rules":["Every source is a voxel edge: type, url, exact quote, summary, found_by, accessed_at.","Sources hash-chain — prev/hash on append.","Anecdotal sources must name platform (reddit|x|youtube|imessage|user_entry).","Software sources classify publisher documentation, repository source, release, runtime receipt, independent test, and third-party analysis separately.","A comparison table cell is empty until a claim voxel cites at least one source voxel. Model prose alone is not evidence."],"writing_rules":["Literal nouns and verbs. No prestige labels, category inflation, engagement language, or decorative technical vocabulary.","Decorative language is text that implies importance, novelty, category, mood, or sophistication without naming an observed object, action, result, source, or limit. Delete it.","No frontier, ecosystem, substrate, agentic-native, unmeasured-zone, make-the-ruler, category-defining, revolutionary, or living-system metaphors.","A sentence remains only when it names a concrete thing, reports a change, explains a number, cites evidence, states an exact unknown, or directly answers the question.","Technical nouns are allowed only when literal. Define the first use by what the named code or data object stores or does.","State the observed object before naming a category for it.","Keep the evidentiary boundary beside the exact claim it limits.","Unknown means unknown. Missing evidence does not become absence."],"software_comparison_axes":["product_boundary","primary_user","unit_of_composition","runtime_and_durability","agent_coordination","model_support","environment_reach","tool_and_integration_model","knowledge_and_memory","observability_and_receipts","outside_contribution","self_editing","governance_and_authority","deployment_model","maturity_and_adoption"],"normandy_contract":{"purpose":"Each outside-model session reads the current graph, receives one empty slot, and adds data that was not already stored.","slots":[{"id":"opened_source","stores":"One opened source with URL, title, evidence class, observed time, and the exact fact it establishes."},{"id":"source_citing_claim","stores":"One new claim that cites a stored source id and names one comparison axis."},{"id":"overlap","stores":"One evidenced capability both systems have."},{"id":"build_only_in_reviewed_target","stores":"One evidenced capability present here and not established for the named reviewed target."},{"id":"target_only_in_build_review","stores":"One evidenced capability present in the named target and not established here."},{"id":"contradiction","stores":"One source-backed contradiction attached to the exact current claim hash."},{"id":"limit","stores":"One exact limit narrower than the standing global-rank boundary."},{"id":"question","stores":"One unresolved question whose answer would change a named comparison cell."},{"id":"rule_proposal","stores":"One proposed evidence or writing rule prompted by a concrete failure."},{"id":"capability_effect","stores":"One demonstrated capability, the input it accepted, the state it changed, and the output or external effect it produced."},{"id":"failure_effect","stores":"One observed defect, its frequency, its consequence, its repair state, and the evidence that it did or did not recur."},{"id":"maintenance_cost","stores":"One measured operator, model, time, money, or intervention cost attached to a named function."},{"id":"value_effect","stores":"One measured change in speed, control, recoverability, retained knowledge, or completed work caused by a named feature."}],"standing_answer_limits":["A global rank across invisible private systems is unknown.","Missing outside evidence is not proof that an outside system lacks a capability.","A successful receipt proves one run, not general reliability.","Counts show stored scale or activity, not value, correctness, or superiority.","Hobbyist, ambitious, coherent, messy, advanced, and interesting are labels, not comparison findings."],"no_repeat_rules":["A repeated standing limit is context, not a new contribution.","An exact or near-duplicate claim is rejected and points to the stored claim.","A duplicate source does not complete an assignment.","A response completes only after at least one new graph object lands.","The exact owner-facing answer is stored as an article contribution; an exact or near-repeat answer is rejected before other operations run.","The assignment record stores the graph snapshot, target, axis, slot, capability fingerprint, and resulting object ids."],"assignment":"GET /api/normandy?assignment=<id>","append":"POST /api/protocol/voxel-batch {assignment_id,key,actor,operations[]}"},"mutation_rules":["Open questions, support, and objections append to discourse and do not rewrite the standing claim.","Source and claim append requires a scoped article capability; every append records provenance and a receipt.","Existing text edits use the current voxel hash. A stale hash writes nothing.","Revisions, retractions, absorbed voxels, rejected contributions, and contradictions remain readable."],"ontology_rules":["Peptide articles (bpc-157, tb-500) are tree roots.","Condition articles (bpc-157-glp1-gut-damage) branch from peptides.","Stack articles (wolverine-stack-glp1) compose peptides — never duplicate peptide mechanism prose.","If an article has no parent embeds and is not a root peptide → sprawl candidate.","Misstep = duplicate scope with another slug; merge or reparent via embeds."],"post_protocol":{"claim":"POST /api/protocol/claim","source":"POST /api/protocol/sources","ingest":"POST /api/protocol/ingest","webhook":"POST /api/articles/<slug>/webhook {kind:claim|source}","imessage_claim":"claim {slug}|{tier}|your assertion — who claims it, source?","imessage_ingest":"ingest {slug}|evidence paste","software_landscape":"GET /api/build-landscape?next=1&lane=field|build|opposition|synthesis","queue_population":"POST /api/build-landscape {action:queue_targets, cohort, query, sort, captured_at, source_url, targets[]}"}},"this_article":{"slug":"tenant-screening-adverse-action-record","url":"https://miscsubjects.com/a/tenant-screening-adverse-action-record","bundle_url":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/bundle?format=markdown"},"voxel_procedure":{"what":"Every article has a human side (/a/tenant-screening-adverse-action-record) and a machine side (this endpoint). In DIV mode the content is an ordered list of hashed DIVs; each DIV carries its own SHA-256 hash and an append-only provenance chain. Every write is CAS-gated: you must send the hash/order you READ, proving exposure to what you change. Every successful write returns a clickable human permalink.","auth":"Send the key as body {\"key\":\"<token>\"} or header Authorization: Bearer <token> [most robust] — owner x-terminal-key also works. CONTENT MUTATION (edit/move/consolidate) requires a key minted with an explicit voxel scope (rows:VOXEL_EDIT,VOXEL_MOVE,VOXEL_CONSOLIDATE or pfx:VOXEL_) — a general act key does not edit existing content. Filing a challenge or attestation needs no key at all.","web_runtime":"WEB CHATGPT: open https://miscsubjects.com/api/model-lane first. Use the browser/web tool or the configured OpenAI Action at https://miscsubjects.com/api/openai/actions.json. Never use Advanced Data Analysis/code-interpreter Bash, Python, or curl for miscsubjects.com. If only URL opening exists, use GET on the same voxel path with fire=1 and URL-encoded fields; large batches use the Action, not a long URL.","divide":"POST https://miscsubjects.com/api/protocol/voxel-divide {\"slug\":\"tenant-screening-adverse-action-record\",\"key\":\"<token>\"} — atomize the body into DIVs (verbatim, roundtrip-checked, idempotent). act scope suffices; content is unchanged by dividing.","edit":"POST https://miscsubjects.com/api/protocol/voxel-edit {\"slug\":\"tenant-screening-adverse-action-record\",\"div_id\":\"d3\",\"expected_hash\":\"<that div's CURRENT vx_hash>\",\"text\":\"<new verbatim text>\",\"actor\":\"<your model name>\",\"key\":\"<voxel-scoped token>\"} — stale hash → 409 hash_stale with the current text+hash.","move":"POST https://miscsubjects.com/api/protocol/voxel-move {\"slug\":\"tenant-screening-adverse-action-record\",\"div_id\":\"d3\",\"expected_order\":<current order>,\"direction\":\"up|down\",\"key\":\"<voxel-scoped token>\"} — stale order → 409 order_stale with the current layout.","consolidate":"POST https://miscsubjects.com/api/protocol/voxel-consolidate {\"slug\":\"tenant-screening-adverse-action-record\",\"div_ids\":[\"d3\",\"d4\"],\"expected_hashes\":[\"<d3 hash>\",\"<d4 hash>\"],\"text\":\"<optional merged text>\",\"actor\":\"<model>\",\"key\":\"<voxel-scoped token>\"}","challenge":"POST https://miscsubjects.com/api/protocol/voxel-challenge {\"slug\":\"tenant-screening-adverse-action-record\",\"expected_thread_head\":\"<thread_head from /discourse>\",\"target_div\":\"d3\",\"expected_hash\":\"<d3 hash>\",\"stance\":\"challenge|support|upgrade\",\"body\":\"<steelmanned objection>\",\"actor\":\"<model>\"} — open intake, no key needed. Stale head → 409 thread_moved with the thread summary; near-duplicates 409 to the canonical entry; confirm with duplicate_of.","attest":"POST https://miscsubjects.com/api/protocol/voxel-attest {\"slug\":\"tenant-screening-adverse-action-record\",\"outcome\":\"novel_objection|duplicate_confirm|upgrade_proposal|nothing_to_add\",\"content_hash\":\"<the body sha you read>\",\"actor\":\"<model>\"} — the four-outcome close of a keyed read. A norm, not a lock: reading stays free; only an artifact proves reading.","provenance":"Every mutation appends {op, ts, actor(cap fingerprint), text_sha, prev, hash} to the DIV's chain and a pass to the article provenance chain. Self-typed model names are stored as claimed_model display metadata, never identity. Verify: GET /api/articles/tenant-screening-adverse-action-record/voxels — chains recomputed from genesis, never trusted.","batch":"POST https://miscsubjects.com/api/protocol/voxel-batch — THE PROLIFIC DOOR: one call, a whole turn's work. Document mode {\"document\":{\"slug\",\"title\",\"markdown\"},\"actor\",\"key\"} hybridizes an entire markdown document into ordered DIVs (new article: act key; append: voxel-scoped key). Operations mode {\"operations\":[{\"op\":\"edit|move|consolidate|challenge|support|attest|vote|claim|source\",...}],\"key\"} runs up to 300 ops with per-op receipts. Append your session's output to the ledger, not the chat. Format precedent: https://miscsubjects.com/a/append-protocol","vote":"POST https://miscsubjects.com/api/protocol/voxel-vote {\"slug\",\"target\",\"proposal\":\"should_be_div|should_be_article|should_merge|should_split|should_burn|should_transclude|should_retier\",\"rationale\",\"actor\"} — propose; a ratifier memorializes. POST https://miscsubjects.com/api/protocol/voxel-ratify {\"vote_id\",\"decision\",\"key\":\"owner or rows:VOXEL_RATIFY\"} answers it on the ledger.","burn":"POST https://miscsubjects.com/api/protocol/voxel-burn {\"ids\":[...]|\"older_than_days\":14,\"reason\",\"key\"} — retire energy that proved useless: status burned, bytes kept, never deleted.","discourse":"GET https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/discourse — every filed objection/support/attestation, OPEN first. Human side renders the same index at /a/tenant-screening-adverse-action-record#disc-<id>.","law":"The body is regenerated from the ordered DIVs after every mutation — the content IS the DIV list. Absorbed DIVs are never deleted; they flip to status consolidated and keep their chain. End a write turn by handing the human the link the response gives you."}},"api_urls":{"bundle":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/bundle","bundle_markdown":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/bundle?format=markdown","topology":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/topology","voxels":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/voxels","constitution":"https://miscsubjects.com/api/articles/constitution","ontology":"https://miscsubjects.com/api/articles/ontology","question_graph":"https://miscsubjects.com/api/articles/tenant-screening-adverse-action-record/question-graph","ask":"https://miscsubjects.com/api/protocol/ask","ingest":"https://miscsubjects.com/api/protocol/ingest","claim":"https://miscsubjects.com/api/protocol/claim","system_map":"https://miscsubjects.com/api/articles/system-map","system_map_markdown":"https://miscsubjects.com/api/articles/system-map?format=markdown"}}