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  3. Problem Reductions at Scale: Agentic Integration of Computat
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Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems

Stale6d 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

Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/problem-reductions-at-scale-agentic-integration-of-computationally-hard-problems

building
Observed
2026-04-14
Fresh until
2026-04-28
Coverage
83%
Source count
4
Stale after
2026-04-28

Verification is still converging across references, source coverage, and proof checks.

Proof Quality

One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.

Verification pending
Last verified
2026-04-14
References
0
Sources
4
Coverage
83%

Commercialization rails stay hidden until proof clears: references_count.

Search indexing stays off until proof clears: references_count.

Agent Handoff

Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems

Canonical ID problem-reductions-at-scale-agentic-integration-of-computationally-hard-problems | Route /signal-canvas/problem-reductions-at-scale-agentic-integration-of-computationally-hard-problems

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/problem-reductions-at-scale-agentic-integration-of-computationally-hard-problems

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "problem-reductions-at-scale-agentic-integration-of-computationally-hard-problems",
    "query_text": "Summarize Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems",
  "normalized_query": "2604.11535",
  "route": "/signal-canvas/problem-reductions-at-scale-agentic-integration-of-computationally-hard-problems",
  "paper_ref": "problem-reductions-at-scale-agentic-integration-of-computationally-hard-problems",
  "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: Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems

PDF: https://arxiv.org/pdf/2604.11535v1

Repository: https://github.com/CodingThrust/problem-reductions

Source count: 4

Coverage: 83%

Last proof check: 2026-04-14T20:32:57.011Z

Paper Conversation

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

Paper Mode

Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems

Overall score: 8/10
Lineage: fe17fb68900a…
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Search the latest paper corpus with startup-focused AI synthesis.

Canonical Paper Receipt

Last verification: 2026-04-14T20:32:57.011Z

Freshness: fresh

Proof: verified

Repo: active

References: 0

Sources: 4

Coverage: 83%

Missingness
  • - references
Unknowns

No unresolved unknowns recorded.

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 8.0

GitHub Code Pulse

Stars
26
Health
D
Last commit
4/21/2026
Forks
5
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.

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