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  3. Class-specific diffusion models improve military object dete
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Class-specific diffusion models improve military object detection in a low-data domain

Stale1d agoPending verification refs / 3 sources / Verification pending
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Viability
0.0/10

Compared to this week’s papers

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Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain

ready
Proof freshness
fresh
Proof status
unverified
Display score
7/10
Last proof check
2026-04-21
Score updated
2026-04-21
Score fresh until
2026-05-21
References
0
Source count
3
Coverage
50%

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

Agent Handoff

Class-specific diffusion models improve military object detection in a low-data domain

Canonical ID class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain | Route /signal-canvas/class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain",
    "query_text": "Summarize Class-specific diffusion models improve military object detection in a low-data domain"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Class-specific diffusion models improve military object detection in a low-data domain",
  "normalized_query": "2604.18076",
  "route": "/signal-canvas/class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain",
  "paper_ref": "class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain",
  "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: Class-specific diffusion models improve military object detection in a low-data domain

PDF: https://arxiv.org/pdf/2604.18076v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-21T04:16:47.653Z

Paper Conversation

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

Paper Mode

Class-specific diffusion models improve military object detection in a low-data domain

Overall score: 7/10
Lineage: 73078af6f552…
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Canonical Paper Receipt

Last verification: 2026-04-21T04:16:47.653Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 3

Coverage: 50%

Missingness
  • - repo_url
  • - 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 7.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

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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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