Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/a-close-look-at-world-model-recovery-in-supervised-fine-tuned-llm-planners
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID a-close-look-at-world-model-recovery-in-supervised-fine-tuned-llm-planners | Route /signal-canvas/a-close-look-at-world-model-recovery-in-supervised-fine-tuned-llm-planners
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/a-close-look-at-world-model-recovery-in-supervised-fine-tuned-llm-plannersMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "a-close-look-at-world-model-recovery-in-supervised-fine-tuned-llm-planners",
"query_text": "Summarize A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners",
"normalized_query": "2606.03685",
"route": "/signal-canvas/a-close-look-at-world-model-recovery-in-supervised-fine-tuned-llm-planners",
"paper_ref": "a-close-look-at-world-model-recovery-in-supervised-fine-tuned-llm-planners",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners
PDF: https://arxiv.org/pdf/2606.03685v1
Repository: https://github.com/goodfeli/dlbook_notation
Source count: 4
Coverage: 67%
Last proof check: 2026-06-03T20:32:58.193Z
Signal Canvas receipt window
/buildability/a-close-look-at-world-model-recovery-in-supervised-fine-tuned-llm-planners
Subject: A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 3.0
{"file name": "input.pdf", "number of pages": 17, "author": "Patrick Emami; Nan Qiang; Peter Graf", "title": "A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners", "creation date": null
Implication not extracted yet.
partial
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Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/a-close-look-at-world-model-recovery-in-supervised-fine-tuned-llm-planners
Paper ref
a-close-look-at-world-model-recovery-in-supervised-fine-tuned-llm-planners
arXiv id
2606.03685
Generated at
2026-06-03T20:32:58.193Z
Evidence freshness
fresh
Last verification
2026-06-03T20:32:58.193Z
Sources
4
References
0
Coverage
67%
Lineage hash
7ec919a848b58ecd1ba1b2d3af99f9743a9d1174b018c6e3107e25030a86de9f
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Pending verification refs / 4 sources / Verification pending
references
paper_extraction_scorecards