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/drscaffold-boosting-dense-scene-reasoning-in-lightweight-vision-language-models
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID drscaffold-boosting-dense-scene-reasoning-in-lightweight-vision-language-models | Route /signal-canvas/drscaffold-boosting-dense-scene-reasoning-in-lightweight-vision-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/drscaffold-boosting-dense-scene-reasoning-in-lightweight-vision-language-modelsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "drscaffold-boosting-dense-scene-reasoning-in-lightweight-vision-language-models",
"query_text": "Summarize DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models",
"normalized_query": "2605.26038",
"route": "/signal-canvas/drscaffold-boosting-dense-scene-reasoning-in-lightweight-vision-language-models",
"paper_ref": "drscaffold-boosting-dense-scene-reasoning-in-lightweight-vision-language-models",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models
PDF: https://arxiv.org/pdf/2605.26038v1
Repository: https://github.com/irene-shi/DRScaffold
Source count: 4
Coverage: 67%
Last proof check: 2026-05-27T00:03:51.120Z
Signal Canvas receipt window
/buildability/drscaffold-boosting-dense-scene-reasoning-in-lightweight-vision-language-models
Subject: DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models
Verdict
Ignore
Preparing verified analysis
Dimensions overall score 0.0
{"file name": "input.pdf", "number of pages": 25, "author": "Xinrui Shi; Kai Liu; Ziqing Zhang; Jianze Li; Anqi Li; Yulun Zhang"
Implication not extracted yet.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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/drscaffold-boosting-dense-scene-reasoning-in-lightweight-vision-language-models
Paper ref
drscaffold-boosting-dense-scene-reasoning-in-lightweight-vision-language-models
arXiv id
2605.26038
Generated at
2026-05-27T00:03:51.120Z
Evidence freshness
stale
Last verification
2026-05-27T00:03:51.120Z
Sources
4
References
0
Coverage
67%
Lineage hash
af4f3bd3f09c6753fb2b6c9e08fc67a89b4d619a54836a68b76cc43ebf05e1a0
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
proof_status