Hierarchical Multi-Persona Induction from User Behavioral Logs: Learning Evidence-Grounded and Truthful Personas explores A hierarchical framework for inducing evidence-grounded and truthful user personas from behavioral logs, improving interaction prediction.. Commercial viability score: 7/10 in User Modeling.
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Canonical route: /paper/hierarchical-multi-persona-induction-from-user-behavioral-logs-learning-evidence-grounded-and-truthful-personas
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Agent Handoff
Canonical ID hierarchical-multi-persona-induction-from-user-behavioral-logs-learning-evidence-grounded-and-truthful-personas | Route /paper/hierarchical-multi-persona-induction-from-user-behavioral-logs-learning-evidence-grounded-and-truthful-personas
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/hierarchical-multi-persona-induction-from-user-behavioral-logs-learning-evidence-grounded-and-truthful-personasMCP example
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}Paper proof page receipt window
/buildability/hierarchical-multi-persona-induction-from-user-behavioral-logs-learning-evidence-grounded-and-truthful-personas
Subject: Hierarchical Multi-Persona Induction from User Behavioral Logs: Learning Evidence-Grounded and Truthful Personas
Verdict
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Dimensions overall score 7.0
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This equation captures one of the core mathematical components of the system. Ld = [ℓ1, . . . , ℓ|Ld|] Md = LLM(Ld) = [m1, . . . , m|Md|] Wt = [Md1, . . . , Mdt] Pt = πθ(Wt) = [p1, . . . , p|Pt|]
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Receipt path
/buildability/hierarchical-multi-persona-induction-from-user-behavioral-logs-learning-evidence-grounded-and-truthful-personas
Paper ref
hierarchical-multi-persona-induction-from-user-behavioral-logs-learning-evidence-grounded-and-truthful-personas
arXiv id
2604.26120
Generated at
2026-04-30T20:19:09.120Z
Evidence freshness
fresh
Last verification
2026-04-30T20:19:09.120Z
Sources
3
References
0
Coverage
50%
Lineage hash
dbdb8c3fdf48050193f298b2c9cc206a6300902e934802d935ca3249c7d1d677
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External signature
unsigned_external
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Verification
not_verified
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Pending verification refs / 3 sources / Verification pending
repo_url
references
This equation captures one of the core mathematical components of the system. ∆(g) = log πθ(y(g) | Wt) −log πref(y(g) | Wt).
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. rank r = 16, scaling factor α = 32, and dropout
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