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Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents

Stale2d agoPending verification refs / 4 sources / Verification pending
Viability
0.0/10

Compared to this week’s papers

Verification pending

Use This Via API or MCP

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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.

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents

ready
Proof freshness
fresh
Proof status
unverified
Display score
4/10
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

Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents

Canonical ID prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents | Route /signal-canvas/prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents",
    "query_text": "Summarize Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents",
  "normalized_query": "2604.17774",
  "route": "/signal-canvas/prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents",
  "paper_ref": "prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents",
  "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: Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents

PDF: https://arxiv.org/pdf/2604.17774v1

Source count: 4

Coverage: 67%

Last proof check: 2026-04-21T20:33:50.165Z

Signal Canvas receipt window

Not build-ready: Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents

/buildability/prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents

Ignoreblocked

Subject: Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents

Verdict

Ignore

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.

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/prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents

Paper ref

prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents

arXiv id

2604.17774

Freshness

Generated at

2026-04-21T20:33:50.165Z

Evidence freshness

fresh

Last verification

2026-04-21T20:33:50.165Z

Sources

4

References

0

Coverage

67%

Hash state

Lineage hash

c12adc8d12c751a718f5529eecf07b76828685f611fd67070c2bac066dd456ca

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

Pending verification refs / 4 sources / Verification pending

repo_url

references

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.

Paper Conversation

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

Paper Mode

Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents

Overall score: 4/10
Lineage: c12adc8d12c7

Canonical Paper Receipt

Last verification: 2026-04-21T20:33:50.165Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 4

Coverage: 67%

Missingness
  • - repo_url
  • - references
Unknowns

No unresolved unknowns recorded.

Preparing verified analysis

Dimensions overall score 4.0

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

Related Resources

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

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