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/tlpo-token-level-policy-optimization-for-mitigating-language-confusion-in-large-language-models
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 tlpo-token-level-policy-optimization-for-mitigating-language-confusion-in-large-language-models | Route /signal-canvas/tlpo-token-level-policy-optimization-for-mitigating-language-confusion-in-large-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/tlpo-token-level-policy-optimization-for-mitigating-language-confusion-in-large-language-modelsMCP example
{
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"arguments": {
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"paper_ref": "tlpo-token-level-policy-optimization-for-mitigating-language-confusion-in-large-language-models",
"query_text": "Summarize TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models",
"normalized_query": "2604.26553",
"route": "/signal-canvas/tlpo-token-level-policy-optimization-for-mitigating-language-confusion-in-large-language-models",
"paper_ref": "tlpo-token-level-policy-optimization-for-mitigating-language-confusion-in-large-language-models",
"topic_slug": null,
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}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models
PDF: https://arxiv.org/pdf/2604.26553v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-30T15:13:05.616Z
Signal Canvas receipt window
/buildability/tlpo-token-level-policy-optimization-for-mitigating-language-confusion-in-large-language-models
Subject: TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 3.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 21, "author": "Jinho Choo; JunSeung Lee; Jimyeong Kim; Yeeho Song; S. K. Hong; Yeong-Dae Kwon"
Implication not extracted yet.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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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/tlpo-token-level-policy-optimization-for-mitigating-language-confusion-in-large-language-models
Paper ref
tlpo-token-level-policy-optimization-for-mitigating-language-confusion-in-large-language-models
arXiv id
2604.26553
Generated at
2026-04-30T15:13:05.616Z
Evidence freshness
stale
Last verification
2026-04-30T15:13:05.616Z
Sources
3
References
0
Coverage
50%
Lineage hash
9a48f3fbef2a7efde0a4ed02ae1facade152a53e22b9c5c4a36aeecab326219a
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