Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/what-makes-interaction-trajectories-effective-for-training-terminal-agents
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID what-makes-interaction-trajectories-effective-for-training-terminal-agents | Route /signal-canvas/what-makes-interaction-trajectories-effective-for-training-terminal-agents
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/what-makes-interaction-trajectories-effective-for-training-terminal-agentsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "what-makes-interaction-trajectories-effective-for-training-terminal-agents",
"query_text": "Summarize What Makes Interaction Trajectories Effective for Training Terminal Agents?"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "What Makes Interaction Trajectories Effective for Training Terminal Agents?",
"normalized_query": "2606.03461",
"route": "/signal-canvas/what-makes-interaction-trajectories-effective-for-training-terminal-agents",
"paper_ref": "what-makes-interaction-trajectories-effective-for-training-terminal-agents",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: What Makes Interaction Trajectories Effective for Training Terminal Agents?
PDF: https://arxiv.org/pdf/2606.03461v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-03T20:45:58.648Z
Signal Canvas receipt window
/buildability/what-makes-interaction-trajectories-effective-for-training-terminal-agents
Subject: What Makes Interaction Trajectories Effective for Training Terminal Agents?
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 5.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 27, "author": "Sidi Yang; Chaofan Tao; Jierun Chen; Tiezheng Yu; Ruoyu Wang; Yuxin Jiang; Yiming Du; Wendong Xu; Jing Xiong; Taiqiang Wu; Lifeng Shang; Xiaohui Li; Ngai Wong
Implication not extracted yet.
partial
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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/what-makes-interaction-trajectories-effective-for-training-terminal-agents
Paper ref
what-makes-interaction-trajectories-effective-for-training-terminal-agents
arXiv id
2606.03461
Generated at
2026-06-03T20:45:58.648Z
Evidence freshness
fresh
Last verification
2026-06-03T20:45:58.648Z
Sources
3
References
0
Coverage
50%
Lineage hash
b65e07274340b5b2edd9fee4b9464f2aa7a1f2982dc750cf5bb8848dd7247ea6
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 / 3 sources / Verification pending
repo_url
references