Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling

Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/aligning-agents-via-planning-a-benchmark-for-trajectory-level-reward-modeling

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-10
Score updated: 2026-04-10
Score fresh until: 2026-05-10
References: 0
Source count: 4
Coverage: 50%

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 aligning-agents-via-planning-a-benchmark-for-trajectory-level-reward-modeling | Route /signal-canvas/aligning-agents-via-planning-a-benchmark-for-trajectory-level-reward-modeling

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/aligning-agents-via-planning-a-benchmark-for-trajectory-level-reward-modeling

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "aligning-agents-via-planning-a-benchmark-for-trajectory-level-reward-modeling",
    "query_text": "Summarize Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling",
  "normalized_query": "2604.08178",
  "route": "/signal-canvas/aligning-agents-via-planning-a-benchmark-for-trajectory-level-reward-modeling",
  "paper_ref": "aligning-agents-via-planning-a-benchmark-for-trajectory-level-reward-modeling",
  "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: Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling

PDF: https://arxiv.org/pdf/2604.08178v1

Source count: 4

Coverage: 50%

Last proof check: 2026-04-10T17:38:47.496Z

Signal Canvas receipt window

Watch and verify: Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling

/buildability/aligning-agents-via-planning-a-benchmark-for-trajectory-level-reward-modeling

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Subject: Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling

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