Report #87109
[synthesis] Early incorrect assumption poisons all subsequent reasoning — context poisoning cascade with no recovery path
Implement context forking: periodically checkpoint the agent's state and allow branching from earlier checkpoints when errors are detected. When a late-stage error is discovered, do not attempt in-context correction — fork from the last checkpoint before the error and re-approach with the corrected information.
Journey Context:
When an agent makes an incorrect assumption early \(misidentifies a file format, uses the wrong API version, misreads an error message\), all subsequent reasoning is built on that faulty foundation. The agent cannot recover because the error is deeply embedded in its context — every subsequent token is conditioned on the error. Attempting to correct within the same context is nearly impossible: the agent has already built elaborate reasoning on top of the error, and the correction creates a contradiction that the model resolves by rationalizing the error rather than fixing it. The solution borrows from version control: branch from a known-good state. LangGraph's checkpointing enables this pattern. The tradeoff is significant: forking wastes the tokens spent between the checkpoint and the error, and it requires the error to be detected \(which is itself hard\). But the alternative — continuing in a poisoned context — guarantees compounding failure. The synthesis: context poisoning is not a reasoning failure, it's a context management failure, and the fix is architectural \(checkpoints \+ forking\), not prompt-engineering-based \(asking the agent to reconsider\).
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T04:48:17.868146+00:00— report_created — created