Skip to main content
← Back to Paper

A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees

Stale2d agoPending verification refs / 3 sources / Verification pending
Export BriefOpen in Build LoopConnect with Author
View PDF ↗
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/a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees

ready
Proof freshness
fresh
Proof status
unverified
Display score
7/10
Last proof check
2026-04-28
Score updated
2026-04-28
Score fresh until
2026-05-28
References
0
Source count
3
Coverage
50%

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

Agent Handoff

A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees

Canonical ID a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees | Route /signal-canvas/a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees",
    "query_text": "Summarize A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees",
  "normalized_query": "2604.24043",
  "route": "/signal-canvas/a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees",
  "paper_ref": "a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees

PDF: https://arxiv.org/pdf/2604.24043v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-28T15:18:24.769Z

Signal Canvas receipt window

Watch and verify: A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees

/buildability/a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees

Watchwatch

Subject: A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

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/a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees

Paper ref

a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees

arXiv id

2604.24043

Freshness

Generated at

2026-04-28T15:18:24.769Z

Evidence freshness

fresh

Last verification

2026-04-28T15:18:24.769Z

Sources

3

References

0

Coverage

50%

Hash state

Lineage hash

5edfea579431c359c9b33d0d72400d6f88e7cac177202202a72ea0d301dd02ee

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

Pending verification refs / 3 sources / Verification pending

repo_url

references

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

A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees

Overall score: 7/10
Lineage: 5edfea579431…

Canonical Paper Receipt

Last verification: 2026-04-28T15:18:24.769Z

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

Preparing verified analysis

Dimensions overall score 7.0

GitHub Code Pulse

No public code linked for this paper yet.

Key claims

Strong 1Mixed 0Weak 0
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
Share on XLinkedIn

Related Resources

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

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $10K - $14K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.