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  3. StaRPO: Stability-Augmented Reinforcement Policy Optimizatio
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StaRPO: Stability-Augmented Reinforcement Policy Optimization

Stale8d agoPending verification refs / 3 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

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Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/starpo-stability-augmented-reinforcement-policy-optimization

building
Observed
2026-04-13
Fresh until
2026-04-27
Coverage
50%
Source count
3
Stale after
2026-04-27

Proof data is outside the preferred freshness window.

Proof Quality

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

Verification pending
Last verified
2026-04-13
References
0
Sources
3
Coverage
50%

Commercialization rails stay hidden until proof clears: proof_status, references_count.

Search indexing stays off until proof clears: proof_status, references_count.

Agent Handoff

StaRPO: Stability-Augmented Reinforcement Policy Optimization

Canonical ID starpo-stability-augmented-reinforcement-policy-optimization | Route /signal-canvas/starpo-stability-augmented-reinforcement-policy-optimization

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/starpo-stability-augmented-reinforcement-policy-optimization

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "starpo-stability-augmented-reinforcement-policy-optimization",
    "query_text": "Summarize StaRPO: Stability-Augmented Reinforcement Policy Optimization"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "StaRPO: Stability-Augmented Reinforcement Policy Optimization",
  "normalized_query": "2604.08905",
  "route": "/signal-canvas/starpo-stability-augmented-reinforcement-policy-optimization",
  "paper_ref": "starpo-stability-augmented-reinforcement-policy-optimization",
  "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: StaRPO: Stability-Augmented Reinforcement Policy Optimization

PDF: https://arxiv.org/pdf/2604.08905v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-13T20:24:52.817Z

Paper Conversation

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

Paper Mode

StaRPO: Stability-Augmented Reinforcement Policy Optimization

Overall score: 7/10
Lineage: 3a80de245d3a…
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Canonical Paper Receipt

Last verification: 2026-04-13T20:24:52.817Z

Freshness: stale

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.
  • 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 7.0

GitHub Code Pulse

No public code linked for this paper yet.

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.

Keep exploring

Builds On This
STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens
Score 5.0down
Builds On This
Hindsight-Anchored Policy Optimization: Turning Failure into Feedback in Sparse Reward Settings
Score 3.0down
Builds On This
A Step Back: Prefix Importance Ratio Stabilizes Policy Optimization
Score 6.0down
Prior Work
ERPO: Token-Level Entropy-Regulated Policy Optimization for Large Reasoning Models
Score 7.0stable
Prior Work
Policy Improvement Reinforcement Learning
Score 7.0stable
Prior Work
Reference-guided Policy Optimization for Molecular Optimization via LLM Reasoning
Score 7.0stable
Prior Work
Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
Score 7.0stable
Higher Viability
Optimistic Policy Regularization
Score 8.0up

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