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MIND: AI Co-Scientist for Material Research

Stale13d 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

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.

Signal Canvas APIPaper Proof PageOpen Build LoopLaunch Pack Example

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/mind-ai-co-scientist-for-material-research

stale
Proof freshness
stale
Proof status
unverified
Display score
7/10
Last proof check
2026-04-16
Score updated
2026-04-16
Score fresh until
2026-05-16
References
0
Source count
4
Coverage
67%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

MIND: AI Co-Scientist for Material Research

Canonical ID mind-ai-co-scientist-for-material-research | Route /signal-canvas/mind-ai-co-scientist-for-material-research

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/mind-ai-co-scientist-for-material-research

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "mind-ai-co-scientist-for-material-research",
    "query_text": "Summarize MIND: AI Co-Scientist for Material Research"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "MIND: AI Co-Scientist for Material Research",
  "normalized_query": "2604.13699",
  "route": "/signal-canvas/mind-ai-co-scientist-for-material-research",
  "paper_ref": "mind-ai-co-scientist-for-material-research",
  "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: MIND: AI Co-Scientist for Material Research

PDF: https://arxiv.org/pdf/2604.13699v1

Repository: https://github.com/IMMS-Ewha/MIND

Source count: 4

Coverage: 67%

Last proof check: 2026-04-16T18:18:27.730Z

Signal Canvas receipt window

Ready for execution: MIND: AI Co-Scientist for Material Research

/buildability/mind-ai-co-scientist-for-material-research

Build Nowready

Subject: MIND: AI Co-Scientist for Material Research

Verdict

Build Now

Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.

Time to first demo

Insufficient data

No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.

Compute envelope

Structured compute envelope

Insufficient data

No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.

Evidence ids

Receipt path

/buildability/mind-ai-co-scientist-for-material-research

Paper ref

mind-ai-co-scientist-for-material-research

arXiv id

2604.13699

Freshness

Generated at

2026-04-16T18:18:27.730Z

Evidence freshness

stale

Last verification

2026-04-16T18:18:27.730Z

Sources

4

References

0

Coverage

67%

Hash state

Lineage hash

11d559b888ceae8f51ecc7b8e2b03342ace0487af962bb97e6dd635bb95906cc

Canonical opportunity-kernel lineage hash.

Signature state

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.

Blockers

  • Missing: references
  • Missing: proof_status
  • Unknown: proof verification has not been recorded yet

Pending verification refs / 4 sources / Verification pending

references

proof_status

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.
Open receiptAPI receiptBuild LoopPaper proof pageProof divergenceDivergence APIBrier outcomes API

Paper Conversation

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

Paper Mode

MIND: AI Co-Scientist for Material Research

Overall score: 7/10
Lineage: 11d559b888ce…

Canonical Paper Receipt

Last verification: 2026-04-16T18:18:27.730Z

Freshness: stale

Proof: unverified

Repo: active

References: 0

Sources: 4

Coverage: 67%

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

Preparing verified analysis

Dimensions overall score 7.0

GitHub Code Pulse

Stars
2
Health
C
Last commit
3/16/2026
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.

Startup potential card

Startup potential card preview
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Related Resources

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

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