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  3. Reward Design for Physical Reasoning in Vision-Language Mode
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Reward Design for Physical Reasoning in Vision-Language Models

Stale5d agoPending verification refs / 3 sources / Verification pending
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Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/reward-design-for-physical-reasoning-in-vision-language-models

ready
Proof freshness
fresh
Proof status
unverified
Display score
7/10
Last proof check
2026-04-16
Score updated
2026-04-16
Score fresh until
2026-05-16
References
0
Source count
3
Coverage
50%

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

Agent Handoff

Reward Design for Physical Reasoning in Vision-Language Models

Canonical ID reward-design-for-physical-reasoning-in-vision-language-models | Route /signal-canvas/reward-design-for-physical-reasoning-in-vision-language-models

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/reward-design-for-physical-reasoning-in-vision-language-models

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "reward-design-for-physical-reasoning-in-vision-language-models",
    "query_text": "Summarize Reward Design for Physical Reasoning in Vision-Language Models"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Reward Design for Physical Reasoning in Vision-Language Models",
  "normalized_query": "2604.13993",
  "route": "/signal-canvas/reward-design-for-physical-reasoning-in-vision-language-models",
  "paper_ref": "reward-design-for-physical-reasoning-in-vision-language-models",
  "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: Reward Design for Physical Reasoning in Vision-Language Models

PDF: https://arxiv.org/pdf/2604.13993v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-16T18:19:03.219Z

Paper Conversation

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

Paper Mode

Reward Design for Physical Reasoning in Vision-Language Models

Overall score: 7/10
Lineage: fc2fa6e08e57…
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Canonical Paper Receipt

Last verification: 2026-04-16T18:19:03.219Z

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

Mode Notes

  • Corpus mode searches the research corpus broadly.
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  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Preparing verified analysis

Dimensions overall score 7.0

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Keep exploring

Builds On This
Visually-Guided Policy Optimization for Multimodal Reasoning
Score 3.0down
Builds On This
OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks
Score 4.0down
Builds On This
Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward
Score 4.0down
Prior Work
Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models via Constrained Policy Optimization
Score 7.0stable
Prior Work
Wan-R1: Verifiable-Reinforcement Learning for Video Reasoning
Score 7.0stable
Prior Work
Rationale Matters: Learning Transferable Rubrics via Proxy-Guided Critique for VLMReward Models
Score 7.0stable
Higher Viability
RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time
Score 8.0up
Competing Approach
All Roads Lead to Rome: Incentivizing Divergent Thinking in Vision-Language Models
Score 7.0stable

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