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  3. Region-Grounded Report Generation for 3D Medical Imaging: A
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Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework

Stale1d agoPending verification refs / 4 sources / Verification pending
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Viability
0.0/10

Compared to this week’s papers

Verification pending

Use This Via API or MCP

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Signal Canvas APIPaper Proof PageOpen Build LoopLaunch Pack Example

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/region-grounded-report-generation-for-3d-medical-imaging-a-fine-grained-dataset-and-graph-enhanced-framework

ready
Proof freshness
fresh
Proof status
unverified
Display score
8/10
Last proof check
2026-04-21
Score updated
2026-04-21
Score fresh until
2026-05-21
References
0
Source count
4
Coverage
67%

Page-specific freshness sourced from this paper's evidence receipt and score bundle.

Agent Handoff

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework

Canonical ID region-grounded-report-generation-for-3d-medical-imaging-a-fine-grained-dataset-and-graph-enhanced-framework | Route /signal-canvas/region-grounded-report-generation-for-3d-medical-imaging-a-fine-grained-dataset-and-graph-enhanced-framework

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/region-grounded-report-generation-for-3d-medical-imaging-a-fine-grained-dataset-and-graph-enhanced-framework

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "region-grounded-report-generation-for-3d-medical-imaging-a-fine-grained-dataset-and-graph-enhanced-framework",
    "query_text": "Summarize Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework",
  "normalized_query": "2604.18145",
  "route": "/signal-canvas/region-grounded-report-generation-for-3d-medical-imaging-a-fine-grained-dataset-and-graph-enhanced-framework",
  "paper_ref": "region-grounded-report-generation-for-3d-medical-imaging-a-fine-grained-dataset-and-graph-enhanced-framework",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework

PDF: https://arxiv.org/pdf/2604.18145v1

Repository: https://github.com/Etdihatthoc/VietPET-RoI_ACL2026.git

Source count: 4

Coverage: 67%

Last proof check: 2026-04-21T04:15:03.687Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework

Overall score: 8/10
Lineage: 6a80050f2e91…
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Canonical Paper Receipt

Last verification: 2026-04-21T04:15:03.687Z

Freshness: fresh

Proof: unverified

Repo: active

References: 0

Sources: 4

Coverage: 67%

Missingness
  • - references
  • - proof_status
Unknowns
  • - proof verification has not been recorded yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Preparing verified analysis

Dimensions overall score 8.0

GitHub Code Pulse

Stars
0
Health
D
Last commit
1/5/2026
Forks
0
Open repository

Claim map

No public claim map is available for this paper yet.

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

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Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.

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