Shared Emotion Geometry Across Small Language Models: A Cross-Architecture Study of Representation, Behavior, and Methodological Confounds explores Uncovers universal emotion geometry across diverse small language models, revealing how RLHF restructures representations and identifying methodological confounds.. Commercial viability score: 7/10 in LLM Representation.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Freshness
Canonical route: /paper/shared-emotion-geometry-across-small-language-models-a-cross-architecture-study-of-representation-behavior-and-methodolo
Verification is still converging across references, source coverage, and proof checks.
Proof Quality
One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.
Commercialization rails stay hidden until proof clears: proof_status, references_count.
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Agent Handoff
Canonical ID shared-emotion-geometry-across-small-language-models-a-cross-architecture-study-of-representation-behavior-and-methodolo | Route /paper/shared-emotion-geometry-across-small-language-models-a-cross-architecture-study-of-representation-behavior-and-methodolo
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/shared-emotion-geometry-across-small-language-models-a-cross-architecture-study-of-representation-behavior-and-methodoloMCP example
{
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}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Dimensions overall score 7.0
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