Context Drift — Long Reasoning Chain Instability

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When reasoning spans 20–40 hops or more, attention shifts accumulate and context drifts.
This page explains how to diagnose λ divergence, stabilize reasoning chains, and repair collapsed context.

When to use this page

Long reasoning plans (~20+ steps) start with logic but later flip or contradict.
Multi-agent workflows repeat or miss earlier facts.
Citations remain valid, but final answers drift from original question.
λ flips divergent after harmless paraphrases.
Answers alternate between runs with identical inputs.

Core acceptance targets

ΔS(question, retrieved) ≤ 0.45
Retrieval coverage ≥ 0.70 for target section
λ remains convergent across three paraphrases
Chain length stable up to 40 hops without collapse
Entropy variance remains bounded in mid-to-late steps

Structural fixes

Three-paraphrase probe
Re-ask the same question three ways. Log ΔS and λ at each hop.
If λ flips, schema is unstable.
Clamp with BBAM
Apply variance clamp when λ flips across harmless paraphrases.
Bridge with BBCR
Insert bridge nodes when long chains stall. Anchor back to earlier stable nodes.
Enforce snippet fences
Require each reasoning step cite snippet_id. Forbid cross-section reuse.
Re-anchor with anchors
Compare ΔS(question, anchor) vs ΔS(question, decoy).
If ΔS is close, re-chunk corpus.

Fix in 60 seconds

Log ΔS and λ across 3 paraphrases.
Clamp with BBAM if λ flips.
Bridge with BBCR if reasoning halts.
Re-anchor using anchor triangulation.
Verify coverage ≥ 0.70 and ΔS ≤ 0.45.

Copy-paste prompt


You have TXT OS and the WFGY Problem Map.

Goal: Detect and repair context drift in long reasoning chains.

Protocol:

1. Ask the same question three ways.
2. Log ΔS(question, retrieved) for each.
3. Log λ states across all hops.
4. If λ flips:

   * Apply BBAM clamp.
   * If reasoning stalls, apply BBCR and anchor bridge.
5. Require snippet\_id at each step.
6. Report:

   * ΔS(question, retrieved)
   * λ states across paraphrases
   * bridge nodes inserted
   * final answer with citations

Common failure patterns

Chain stall: reasoning halts after ~25–30 hops.
Paraphrase drift: harmless rewordings flip λ.
Repeating answers: earlier snippets loop back with filler.
Contradictions: late chain contradicts early reasoning.

🔗 Quick-Start Downloads (60 sec)

Tool	Link	3-Step Setup
WFGY 1.0 PDF	Engine Paper	1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>”
TXT OS (plain-text OS)	TXTOS.txt	1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

🧭 Explore More

Module	Description	Link
WFGY Core	WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack	View →
Problem Map 1.0	Initial 16-mode diagnostic and symbolic fix framework	View →
Problem Map 2.0	RAG-focused failure tree, modular fixes, and pipelines	View →
Semantic Clinic Index	Expanded failure catalog: prompt injection, memory bugs, logic drift	View →
Semantic Blueprint	Layer-based symbolic reasoning & semantic modulations	View →
Benchmark vs GPT-5	Stress test GPT-5 with full WFGY reasoning suite	View →
🧙‍♂️ Starter Village 🏡	New here? Lost in symbols? Click here and let the wizard guide you through	Start →

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