{"_self":{"principle":"Self-explaining payload — no external context required. This _self block describes what you are reading and where to look next.","widget":"article_topology","feature":"topology","name":"Article topology","what":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER.","contains":"claims, sources, anecdotes, question_graph slice","slug":"what-is-context-as-cursor","urls":{"read":"https://miscsubjects.com/api/articles/what-is-context-as-cursor/topology"},"how_to_use":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER.","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/what-is-context-as-cursor/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":"ask","name":"Ask protocol","what":"Answer only from topology; creates question_node with gaps and ingest_hint.","urls":{"read":"https://miscsubjects.com/api/articles/what-is-context-as-cursor/prompts","write":"https://miscsubjects.com/api/protocol/ask"}},{"id":"graph_topology","name":"Cross-article graph","what":"Merged claims/sources across condition+stack slugs for one question.","urls":{"read":"https://miscsubjects.com/api/articles/what-is-context-as-cursor/graph-topology?question=..."}},{"id":"question_graph","name":"Question graph","what":"Ask nodes (questions + gaps) and evidence_ingest nodes (pasted model output).","urls":{"read":"https://miscsubjects.com/api/articles/what-is-context-as-cursor/question-graph","write":"https://miscsubjects.com/api/protocol/ask"}},{"id":"voxels","name":"Voxel graph","what":"Claims as atoms, sources as edges (supported_by, posted_by). Per-claim provenance.","urls":{"read":"https://miscsubjects.com/api/articles/what-is-context-as-cursor/voxels","write":"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","not_medical_advice":true},"_explain":{"feature":"topology","name":"Article topology","what":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER.","why":"Every feature is auditable collective intelligence","how":"Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER.","model":null,"verifies":null,"urls":{"read":"https://miscsubjects.com/api/articles/what-is-context-as-cursor/topology"},"imessage":null,"router":null,"related":[{"id":"ask","what":"Answer only from topology; creates question_node with gaps and ingest_hint."},{"id":"graph_topology","what":"Merged claims/sources across condition+stack slugs for one question."},{"id":"question_graph","what":"Ask nodes (questions + gaps) and evidence_ingest nodes (pasted model output)."},{"id":"voxels","what":"Claims as atoms, sources as edges (supported_by, posted_by). Per-claim provenance."}],"not_medical_advice":true},"slug":"what-is-context-as-cursor","title":"What Is Context as Cursor","register":"standard","tags":["oip","kimi-import","self-explaining","voxel","concepts","what-is-context-as-cursor"],"updated_at":"2026-07-15T04:20:53.863Z","body_excerpt":"<!-- hierarchy:nav -->\n> **Path:** [OIP](https://miscsubjects.com/a/oip) › [Thinker Reference](https://miscsubjects.com/a/oip-thinker-reference) › [Protocol Concepts](https://miscsubjects.com/a/oip-protocol-concepts) › **What Is Context as Cursor**\n>\n> **Shelf:** Protocol Concepts · **Traversal:** self-explaining · hierarchical · voxel-ready\n> **Machine root:** [OIP tree](https://miscsubjects.com/api/dispatch?map=1&format=markdown) · [Registry](https://miscsubjects.com/api/dispatch?registry=1)\n\n# What Is Context as Cursor\n\n## §SELF — what-is-context-as-cursor\n\n**What this page is:** An explanation of why a model's working context should be a moving pointer over information, not a fixed box of text.\n**What it explains:** The difference between the \"container\" model of context (preload everything) and the \"cursor\" model (discover as you go), and why the cursor model scales better.\n**Why read it:** To understand why fixing context size limits what a model can do, and how making context a pointer removes that limit.\n\n### What Context as Cursor Is\n\nContext as cursor (not container) is the idea that a model's working context should not be a fixed block of text that fills up. It should be a pointer (cursor) that moves over an unbounded graph of information.\n\nIn the container model, you preload everything the model might need into the context window. The model receives a block of text containing instructions, background, and data. When the window fills up, old information is dropped. The model can only work with what fits.\n\nIn the cursor model, the model starts with a minimal context — a pointer to a starting node in a graph. As it works, it follows links to discover what it needs. The context is the current position in the graph, not the contents of the graph. The model does not carry the graph; it moves through it.\n\n### Why It Matters\n\nThe container model has three hard problems:\n\n1. You cannot fit everything. Context windows have finite size (even \"large\" windows are tiny compared to the information a model might need for complex tasks).\n2. You must decide relevance in advance. Someone — usually a human — chooses what to put in the context before the model starts. If that choice is wrong, the model lacks information it needs.\n3. Information is lost when dropped. When the window fills, old tokens are discarded. There is no record of what was removed. The model forgets permanently.\n\nThese problems are structural. They do not go away with larger windows. A larger box is still a box.\n\nThe cursor model solves all three:\n\n1. The graph can be infinite. The model touches only what it needs.\n2. The model discovers information as it goes. No advance selection is required.\n3. Nothing is lost. The graph keeps everything. The model's path through the graph is recorded.\n\n### The Key Idea\n\nContext is not what you have. It is where you are.\n\nIn the cursor model, the model receives a starting pointer — a position in a graph of linked information. Each node in the graph contains data and links to other nodes. The model reads the current node, decides what it needs next, and follows a link. Its context is its current position plus the path it took to get there.\n\nThink of reading a book. The container model is like memorizing the entire book before you start. The cursor model is like reading one page and using the page numbers to find the next relevant section. You do not need to hold the whole book in memory. You need to know where you are and how to turn the page.\n\nA graph (a network of nodes connected by links) can be arbitrarily large. The model does not need to know the whole graph. It only needs to know its current node and the links available from that node. The context window holds the cursor position and the local neighborhood — not the entire graph.\n\n### What It Got Right\n\n**Unbounded scope.** Because the graph is not stored in the context window, it can be larger than any context window. The model accesses information by reference (followin","ranking":"safety-first (interaction_risk/limitations), then quote-gated effective_weight","claims":[],"sources":[],"anecdotal_sources":[],"scientific_sources":[],"user_reports":[],"related_articles":[],"question_graph":{"slug":"what-is-context-as-cursor","questions":[],"evidence":[],"edges":[],"counts":{"questions":0,"evidence":0,"edges":0}},"honesty":{"active_claims":0,"retracted_claims":0,"cut_claims":0,"challenges":0,"scrub_events":0,"note":"Retracted/cut claims stay on ledger but are excluded from ask unless ?include_inactive=1"},"counts":{"claims":0,"claims_total":0,"sources":0,"anecdotal":0,"scientific":0,"user_reports":0,"questions":0,"evidence_ingests":0}}