Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Page Freshness
Canonical route: /signal-canvas/prism-pre-alignment-via-black-box-on-policy-distillation-for-multimodal-reinforcement-learning
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 prism-pre-alignment-via-black-box-on-policy-distillation-for-multimodal-reinforcement-learning | Route /signal-canvas/prism-pre-alignment-via-black-box-on-policy-distillation-for-multimodal-reinforcement-learning
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/prism-pre-alignment-via-black-box-on-policy-distillation-for-multimodal-reinforcement-learningMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "prism-pre-alignment-via-black-box-on-policy-distillation-for-multimodal-reinforcement-learning",
"query_text": "Summarize PRISM: Pre-alignment via Black-box On-policy Distillation for Multimodal Reinforcement Learning"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "PRISM: Pre-alignment via Black-box On-policy Distillation for Multimodal Reinforcement Learning",
"normalized_query": "2604.28123",
"route": "/signal-canvas/prism-pre-alignment-via-black-box-on-policy-distillation-for-multimodal-reinforcement-learning",
"paper_ref": "prism-pre-alignment-via-black-box-on-policy-distillation-for-multimodal-reinforcement-learning",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: PRISM: Pre-alignment via Black-box On-policy Distillation for Multimodal Reinforcement Learning
PDF: https://arxiv.org/pdf/2604.28123v1
Repository: https://github.com/XIAO4579/PRISM
Source count: 4
Coverage: 67%
Last proof check: 2026-05-01T15:04:23.354Z
Signal Canvas receipt window
/buildability/prism-pre-alignment-via-black-box-on-policy-distillation-for-multimodal-reinforcement-learning
Subject: PRISM: Pre-alignment via Black-box On-policy Distillation for Multimodal Reinforcement Learning
Verdict
Preparing verified analysis
Dimensions overall score 3.0
{"file name": "input.pdf", "number of pages": 26, "author": "Sudong Wang; Weiquan Huang; Xiaomin Yu; Zuhao Yang; Hehai Lin; Keming Wu; Chaojun Xiao; Chen Chen; Wenxuan Wang; Beier Zhu; Yunjian Zhang; Chengwei Qin"
Implication not extracted yet.
partial
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Xiaomin Yu
Hong Kong University of Science and Technology (Guangzhou)
Zuhao Yang
Nanyang Technological University
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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.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/prism-pre-alignment-via-black-box-on-policy-distillation-for-multimodal-reinforcement-learning
Paper ref
prism-pre-alignment-via-black-box-on-policy-distillation-for-multimodal-reinforcement-learning
arXiv id
2604.28123
Generated at
2026-05-01T15:04:23.354Z
Evidence freshness
stale
Last verification
2026-05-01T15:04:23.354Z
Sources
4
References
0
Coverage
67%
Lineage hash
ad475bcea71e283da94608df366aa6d386c3dabe9ba396dd1b8208f63355df61
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
references
proof_status