Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/lightning-opd-efficient-post-training-for-large-reasoning-models-with-offline-on-policy-distillation
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 7/10
- Last proof check
- 2026-04-15
- Score updated
- 2026-04-15
- Score fresh until
- 2026-05-15
- References
- 0
- Source count
- 4
- Coverage
- 67%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation
Canonical ID lightning-opd-efficient-post-training-for-large-reasoning-models-with-offline-on-policy-distillation | Route /signal-canvas/lightning-opd-efficient-post-training-for-large-reasoning-models-with-offline-on-policy-distillation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/lightning-opd-efficient-post-training-for-large-reasoning-models-with-offline-on-policy-distillationMCP example
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}
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Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation
PDF: https://arxiv.org/pdf/2604.13010v1
Repository: https://github.com/jet-ai-projects/Lightning-OPD
Source count: 4
Coverage: 67%
Last proof check: 2026-04-15T16:58:36.846Z
Signal Canvas receipt window
Ready for execution: Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation
/buildability/lightning-opd-efficient-post-training-for-large-reasoning-models-with-offline-on-policy-distillation
Subject: Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation
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Evidence ids
Receipt path
/buildability/lightning-opd-efficient-post-training-for-large-reasoning-models-with-offline-on-policy-distillation
Paper ref
lightning-opd-efficient-post-training-for-large-reasoning-models-with-offline-on-policy-distillation
arXiv id
2604.13010
Freshness
Generated at
2026-04-15T16:58:36.846Z
Evidence freshness
stale
Last verification
2026-04-15T16:58:36.846Z
Sources
4
References
0
Coverage
67%
Hash state
Lineage hash
073dee7a3e2e837b4738726e628bc838ed55d054d4784d056cff4bd36c86e9b7
Canonical opportunity-kernel lineage hash.
Signature state
External signature
unsigned_external
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Verification
not_verified
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Blockers
- Missing: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Pending verification refs / 4 sources / Verification pending
references
proof_status
Paper Conversation
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Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation
Canonical Paper Receipt
Last verification: 2026-04-15T16:58:36.846ZFreshness: stale
Proof: unverified
Repo: active
References: 0
Sources: 4
Coverage: 67%
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 7.0
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