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/generative-long-term-user-interest-modeling-for-click-through-rate-prediction
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 generative-long-term-user-interest-modeling-for-click-through-rate-prediction | Route /signal-canvas/generative-long-term-user-interest-modeling-for-click-through-rate-prediction
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/generative-long-term-user-interest-modeling-for-click-through-rate-predictionMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "generative-long-term-user-interest-modeling-for-click-through-rate-prediction",
"query_text": "Summarize Generative Long-term User Interest Modeling for Click-Through Rate Prediction"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Generative Long-term User Interest Modeling for Click-Through Rate Prediction",
"normalized_query": "2605.15905",
"route": "/signal-canvas/generative-long-term-user-interest-modeling-for-click-through-rate-prediction",
"paper_ref": "generative-long-term-user-interest-modeling-for-click-through-rate-prediction",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Generative Long-term User Interest Modeling for Click-Through Rate Prediction
PDF: https://arxiv.org/pdf/2605.15905v1
Source count: 3
Coverage: 50%
Last proof check: 2026-05-18T20:33:51.308Z
Signal Canvas receipt window
/buildability/generative-long-term-user-interest-modeling-for-click-through-rate-prediction
Subject: Generative Long-term User Interest Modeling for Click-Through Rate Prediction
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.
CLAIM MAP
No public claim map is available for this paper yet.
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/generative-long-term-user-interest-modeling-for-click-through-rate-prediction
Paper ref
generative-long-term-user-interest-modeling-for-click-through-rate-prediction
arXiv id
2605.15905
Generated at
2026-05-18T20:33:51.308Z
Evidence freshness
stale
Last verification
2026-05-18T20:33:51.308Z
Sources
3
References
0
Coverage
50%
Lineage hash
9becc53f904ba140f236532014b46b2526fd98210e73e4fe926604beeaa92a6e
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