Evidence Receipt. Related Resources.
Surgical Post-Training: Cutting Errors, Keeping Knowledge
Compared to this week’s papers
Verification pending
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Use Signal Canvas as the narrative proof surface
Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.
Use This Via API or MCP
Use this Signal Canvas via API or MCP
Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/surgical-post-training-cutting-errors-keeping-knowledge
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 6/10
- Last proof check
- 2026-03-19
- Score updated
- 2026-04-02
- Score fresh until
- 2026-05-02
- References
- 0
- Source count
- 0
- Coverage
- 33%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Surgical Post-Training: Cutting Errors, Keeping Knowledge
Canonical ID surgical-post-training-cutting-errors-keeping-knowledge | Route /signal-canvas/surgical-post-training-cutting-errors-keeping-knowledge
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/surgical-post-training-cutting-errors-keeping-knowledgeMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "surgical-post-training-cutting-errors-keeping-knowledge",
"query_text": "Summarize Surgical Post-Training: Cutting Errors, Keeping Knowledge"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Surgical Post-Training: Cutting Errors, Keeping Knowledge",
"normalized_query": "2603.01683",
"route": "/signal-canvas/surgical-post-training-cutting-errors-keeping-knowledge",
"paper_ref": "surgical-post-training-cutting-errors-keeping-knowledge",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Preparing verified analysis
Dimensions overall score 6.0
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No public code linked for this paper yet.
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