Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
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Use This Via API or MCP
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/taiji-pareto-optimal-policy-optimization-with-semantics-ids-trade-off-for-industrial-llm-enhanced-recommendation
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID taiji-pareto-optimal-policy-optimization-with-semantics-ids-trade-off-for-industrial-llm-enhanced-recommendation | Route /signal-canvas/taiji-pareto-optimal-policy-optimization-with-semantics-ids-trade-off-for-industrial-llm-enhanced-recommendation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/taiji-pareto-optimal-policy-optimization-with-semantics-ids-trade-off-for-industrial-llm-enhanced-recommendationMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "taiji-pareto-optimal-policy-optimization-with-semantics-ids-trade-off-for-industrial-llm-enhanced-recommendation",
"query_text": "Summarize Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation",
"normalized_query": "2606.03866",
"route": "/signal-canvas/taiji-pareto-optimal-policy-optimization-with-semantics-ids-trade-off-for-industrial-llm-enhanced-recommendation",
"paper_ref": "taiji-pareto-optimal-policy-optimization-with-semantics-ids-trade-off-for-industrial-llm-enhanced-recommendation",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation
PDF: https://arxiv.org/pdf/2606.03866v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-03T20:40:16.456Z
Signal Canvas receipt window
/buildability/taiji-pareto-optimal-policy-optimization-with-semantics-ids-trade-off-for-industrial-llm-enhanced-recommendation
Subject: Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation
Verdict
Ignore
Preparing verified analysis
Dimensions overall score 4.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 8, "author": "Yuecheng Li; Zeyu Song; Jing Yao; Chi Lu; Peng Jiang; Kun Gai"
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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Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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/taiji-pareto-optimal-policy-optimization-with-semantics-ids-trade-off-for-industrial-llm-enhanced-recommendation
Paper ref
taiji-pareto-optimal-policy-optimization-with-semantics-ids-trade-off-for-industrial-llm-enhanced-recommendation
arXiv id
2606.03866
Generated at
2026-06-03T20:40:16.456Z
Evidence freshness
fresh
Last verification
2026-06-03T20:40:16.456Z
Sources
3
References
0
Coverage
50%
Lineage hash
f748db7bcb4dbac42a1a049dae97714d9aef154f7def7e8a5710ab06661cd9da
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