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/training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration
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 training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration | Route /signal-canvas/training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-explorationMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration",
"query_text": "Summarize Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration",
"normalized_query": "2604.18131",
"route": "/signal-canvas/training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration",
"paper_ref": "training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration
PDF: https://arxiv.org/pdf/2604.18131v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-21T04:19:46.932Z
Signal Canvas receipt window
/buildability/training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration
Subject: Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration
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 6.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 24, "author": "Qifan Zhang; Dongyang Ma; Tianqing Fang; Jia Li; Jing Tang; Nuo Chen; Haitao Mi; Yan Wang", "title": "Training LLM Agents for Spontaneous
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/training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration
Paper ref
training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration
arXiv id
2604.18131
Generated at
2026-04-21T04:19:46.932Z
Evidence freshness
stale
Last verification
2026-04-21T04:19:46.932Z
Sources
3
References
0
Coverage
50%
Lineage hash
2c122d9d5854ca3855015c29282b8bb4c60d96e84f04c999758f030ff58ab94c
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