Care-Conditioned Neuromodulation for Autonomy-Preserving Supportive Dialogue Agents

Care-Conditioned Neuromodulation for Autonomy-Preserving Supportive Dialogue Agents | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/care-conditioned-neuromodulation-for-autonomy-preserving-supportive-dialogue-agents

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-03
Score updated: 2026-04-03
Score fresh until: 2026-05-03
References: 0
Source count: 0
Coverage: 33%

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 care-conditioned-neuromodulation-for-autonomy-preserving-supportive-dialogue-agents | Route /signal-canvas/care-conditioned-neuromodulation-for-autonomy-preserving-supportive-dialogue-agents

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/care-conditioned-neuromodulation-for-autonomy-preserving-supportive-dialogue-agents

MCP example

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source_context

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  "query": "Care-Conditioned Neuromodulation for Autonomy-Preserving Supportive Dialogue Agents",
  "normalized_query": "2604.01576",
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  "paper_ref": "care-conditioned-neuromodulation-for-autonomy-preserving-supportive-dialogue-agents",
  "topic_slug": null,
  "benchmark_ref": null,
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Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Care-Conditioned Neuromodulation for Autonomy-Preserving Supportive Dialogue Agents

PDF: https://arxiv.org/pdf/2604.01576v1

Source count: Pending verification

Coverage: 33%

Last proof check: 2026-04-03T20:50:41.059Z

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Watch and verify: Care-Conditioned Neuromodulation for Autonomy-Preserving Supportive Dialogue Agents

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Subject: Care-Conditioned Neuromodulation for Autonomy-Preserving Supportive Dialogue Agents

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

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Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
standard alignment methods primarily optimize for helpfulness and harmlessness without explicitly modeling relational risks such as dependency reinforcement, overprotection, or coercive guidance.
Implicationpartial
Directly and explicitly stated in the abstract as the motivation for the research.
Verificationpartial
partial
Evidencepartial
We introduce Care-Conditioned Neuromodulation (CCN), a state-dependent control framework in which a learned scalar signal derived from structured user state and dialogue context conditions response generation and candidate selection.
Implicationpartial
Explicitly defined as the introduced method in the abstract.
Verificationpartial
partial
Evidencepartial
We formalize this setting as an autonomy-preserving alignment problem and define a utility function that rewards autonomy support and helpfulness while penalizing dependency and coercion.
Implicationpartial
Directly stated as a core formalization step in the abstract.
Verificationpartial
partial
Evidencepartial
We also construct a benchmark of relational failure modes in multi-turn dialogue, including reassurance dependence, manipulative care, overprotection, and boundary inconsistency.
Implicationpartial
Explicitly stated as a constructed benchmark in the abstract.
Verificationpartial
partial
Evidencepartial
On this benchmark, care-conditioned candidate generation combined with utility-based reranking improves autonomy-preserving utility by +0.25 over supervised fine-tuning and +0.07 over preference optimization baselines while maintaining comparable supportiveness.
Implicationpartial
Specific numeric results are provided in the abstract, though the exact metric scale is not defined.
Verificationpartial
partial
Evidencepartial
improves autonomy-preserving utility by +0.25 over supervised fine-tuning and +0.07 over preference optimization baselines while maintaining comparable supportiveness.
Implicationpartial
Directly stated in the results claim, though the evidence for 'comparable supportiveness' is not quantified in the provided text.
Verificationpartial
partial
Evidencepartial
Pilot human evaluation and zero-shot transfer to real emotional-support conversations show directional agreement with automated metrics.
Implicationpartial
Directly stated, but terms like 'directional agreement' and 'pilot' suggest preliminary evidence.
Verificationpartial
partial
Evidencepartial
These results suggest that state-dependent control combined with utility-based selection is a practical approach to multi-objective alignment in autonomy-sensitive dialogue.
Implicationpartial
Presented as a conclusion/suggestion based on the results, not as a directly proven fact.
Verificationpartial
partial

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Care-Conditioned Neuromodulation for Autonomy-Preserving Supportive Dialogue Agents

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