When Agents Evolve, Institutions Follow
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.
Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/when-agents-evolve-institutions-follow
- Proof freshness
- fresh
- Proof status
- unverified
- Display score
- 1/10
- Last proof check
- 2026-05-01
- Score updated
- 2026-05-01
- Score fresh until
- 2026-05-31
- References
- 0
- Source count
- 5
- Coverage
- 67%
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
When Agents Evolve, Institutions Follow
Canonical ID when-agents-evolve-institutions-follow | Route /signal-canvas/when-agents-evolve-institutions-follow
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/when-agents-evolve-institutions-followMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "when-agents-evolve-institutions-follow",
"query_text": "Summarize When Agents Evolve, Institutions Follow"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "When Agents Evolve, Institutions Follow",
"normalized_query": "2604.27691",
"route": "/signal-canvas/when-agents-evolve-institutions-follow",
"paper_ref": "when-agents-evolve-institutions-follow",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: When Agents Evolve, Institutions Follow
PDF: https://arxiv.org/pdf/2604.27691v1
Repository: https://github.com/cf3i/SocialSystemArena
Source count: 5
Coverage: 67%
Last proof check: 2026-05-01T15:04:50.071Z
Signal Canvas receipt window
Not build-ready: When Agents Evolve, Institutions Follow
/buildability/when-agents-evolve-institutions-follow
Subject: When Agents Evolve, Institutions Follow
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/when-agents-evolve-institutions-follow
Paper ref
when-agents-evolve-institutions-follow
arXiv id
2604.27691
Freshness
Generated at
2026-05-01T15:04:50.071Z
Evidence freshness
fresh
Last verification
2026-05-01T15:04:50.071Z
Sources
5
References
0
Coverage
67%
Hash state
Lineage hash
1c4974489739fba0869df27840797bfc9c1f5a481769e7e50ed1ec9f0e3e5a1e
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 / 5 sources / Verification pending
references
proof_status
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
When Agents Evolve, Institutions Follow
Canonical Paper Receipt
Last verification: 2026-05-01T15:04:50.071ZFreshness: fresh
Proof: unverified
Repo: active
References: 0
Sources: 5
Coverage: 67%
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 1.0
GitHub Code Pulse
Claim map
No public claim map is available for this paper yet.
Startup potential card
Related Resources
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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