Latent Preference Modeling for Cross-Session Personalized Tool Calling
Compared to this week’s papers
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/latent-preference-modeling-for-cross-session-personalized-tool-calling
- Proof freshness
- fresh
- Proof status
- unverified
- Display score
- 6/10
- Last proof check
- 2026-04-21
- Score updated
- 2026-04-21
- Score fresh until
- 2026-05-21
- References
- 0
- Source count
- 3
- Coverage
- 50%
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Latent Preference Modeling for Cross-Session Personalized Tool Calling
Canonical ID latent-preference-modeling-for-cross-session-personalized-tool-calling | Route /signal-canvas/latent-preference-modeling-for-cross-session-personalized-tool-calling
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/latent-preference-modeling-for-cross-session-personalized-tool-callingMCP example
{
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"arguments": {
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"query_text": "Summarize Latent Preference Modeling for Cross-Session Personalized Tool Calling"
}
}source_context
{
"surface": "signal_canvas",
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"query": "Latent Preference Modeling for Cross-Session Personalized Tool Calling",
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"route": "/signal-canvas/latent-preference-modeling-for-cross-session-personalized-tool-calling",
"paper_ref": "latent-preference-modeling-for-cross-session-personalized-tool-calling",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Latent Preference Modeling for Cross-Session Personalized Tool Calling
PDF: https://arxiv.org/pdf/2604.17886v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-21T02:39:51.498Z
Signal Canvas receipt window
Watch and verify: Latent Preference Modeling for Cross-Session Personalized Tool Calling
/buildability/latent-preference-modeling-for-cross-session-personalized-tool-calling
Subject: Latent Preference Modeling for Cross-Session Personalized Tool Calling
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Compute envelope
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Evidence ids
Receipt path
/buildability/latent-preference-modeling-for-cross-session-personalized-tool-calling
Paper ref
latent-preference-modeling-for-cross-session-personalized-tool-calling
arXiv id
2604.17886
Freshness
Generated at
2026-04-21T02:39:51.498Z
Evidence freshness
fresh
Last verification
2026-04-21T02:39:51.498Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
4b3aa7d6eb344ae54f13a78c9e2ef77b3596bd52a92bdcfb88a1a37da93abda7
Canonical opportunity-kernel lineage hash.
Signature state
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.
Blockers
- Missing: repo_url
- Missing: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Pending verification refs / 3 sources / Verification pending
repo_url
references
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
Latent Preference Modeling for Cross-Session Personalized Tool Calling
Canonical Paper Receipt
Last verification: 2026-04-21T02:39:51.498ZFreshness: fresh
Proof: unverified
Repo: missing
References: 0
Sources: 3
Coverage: 50%
- - repo_url
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 6.0
GitHub Code Pulse
No public code linked for this paper yet.
Key claims
Startup potential card
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