proof blockPage 376%
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Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories explores A novel framework synthesizes reasoning paths from diverse search trajectories, drastically reducing data requirements for training AI models while improving generalization.. Commercial viability score: 8/10 in Reasoning.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/learning-from-contrasts-synthesizing-reasoning-paths-from-diverse-search-trajectories
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID learning-from-contrasts-synthesizing-reasoning-paths-from-diverse-search-trajectories | Route /paper/learning-from-contrasts-synthesizing-reasoning-paths-from-diverse-search-trajectories
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/learning-from-contrasts-synthesizing-reasoning-paths-from-diverse-search-trajectoriesMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.11365"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories",
"normalized_query": "2604.11365",
"route": "/paper/learning-from-contrasts-synthesizing-reasoning-paths-from-diverse-search-trajectories",
"paper_ref": "learning-from-contrasts-synthesizing-reasoning-paths-from-diverse-search-trajectories",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/learning-from-contrasts-synthesizing-reasoning-paths-from-diverse-search-trajectories
Subject: Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories
Verdict
Watch
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Dimensions overall score 8.0
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This equation defines the score or evaluation function that determines model quality.
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. |ˆτ| X L(θ) = −E(q,ˆτ)∼Dsyn t=1 log Pθ(ˆst | q, ˆs<t)
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Receipt path
/buildability/learning-from-contrasts-synthesizing-reasoning-paths-from-diverse-search-trajectories
Paper ref
learning-from-contrasts-synthesizing-reasoning-paths-from-diverse-search-trajectories
arXiv id
2604.11365
Generated at
2026-04-14T20:32:57.678Z
Evidence freshness
stale
Last verification
2026-04-14T20:32:57.678Z
Sources
4
References
0
Coverage
67%
Lineage hash
94ed3f907d5567d5d0348cc41f130e68760adcb6cf9c8c41472c09a925b33716
Canonical opportunity-kernel lineage hash.
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.
Pending verification refs / 4 sources / Verification pending
repo_url
references
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This equation captures one of the core mathematical components of the system. the problem qi and the full critique set C(i) =
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No public competitor map is available for this paper yet.
Research neighborhood
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