Paper Citation Record · LEDGER

Large Language Models Understand and Can be Enhanced by Emotional Stimuli

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2307.11760.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2307.11760 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:32:29.186155Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

58
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 17809262-ce10-4636-8f7d-7137791c9fc3 · inbound

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications cites this paper.

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T21:52:10.424533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 044b282f-9edd-448a-91f3-36f28bb701a5 · inbound

Evaluating Vision-Language Models for Emotion Recognition cites this paper.

Evaluating Vision-Language Models for Emotion Recognition Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T18:32:29.186155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfa508ad-652b-43b6-8a21-8e16795464c7 · inbound

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods cites this paper.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:39.911129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb24b22-59c8-42b4-a00f-2736782662db · inbound

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions cites this paper.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 118

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:18.388082Z

Source-reported events for the cited work

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Observation bcf8c0c4-aceb-43d6-8f47-a9c193630822 · inbound

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks cites this paper.

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:40.566515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22437978-0bd9-4abc-b873-2b46d2e52526 · inbound

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation cites this paper.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:35.146498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7921083-d27d-49e2-aa01-4d9aa99250b0 · inbound

Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study cites this paper.

Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:56.008780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18849fc6-a032-45d3-a605-5fa0f92e21ef · inbound

Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems cites this paper.

Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:09.462184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91549484-dde5-4355-9f91-7d4a85a488d3 · inbound

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap cites this paper.

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:04.494412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e69974c5-adbc-4ff2-8205-8e985b5e47d5 · inbound

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation cites this paper.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:23.119561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55596a29-8a06-4fb3-92bb-2ccd3519f50a · inbound

ChatGPT Reads Your Tone and Responds Accordingly -- Until It Does Not -- Emotional Framing Induces Bias in LLM Outputs cites this paper.

ChatGPT Reads Your Tone and Responds Accordingly -- Until It Does Not -- Emotional Framing Induces Bias in LLM Outputs Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:25:34.191970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8c93510-e9d5-4c9d-8998-0500105cf399 · inbound

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities cites this paper.

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:10:30.107348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f3adf9e-efaf-4515-b231-9be09d2267be · inbound

APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification cites this paper.

APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T21:09:00.397990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52200d5c-7e66-4bfe-b48a-0be70df274c5 · inbound

From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics cites this paper.

From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T14:21:53.045479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5cda4a-8f82-4640-ae47-12022e6e5302 · inbound

More Parameters Than Populations: A Systematic Literature Review of Large Language Models within Survey Research cites this paper.

More Parameters Than Populations: A Systematic Literature Review of Large Language Models within Survey Research Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T10:58:21.981720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65b4fa46-eb1b-40f7-b670-f1e6e5bbdea5 · inbound

Psychologically Enhanced AI Agents cites this paper.

Psychologically Enhanced AI Agents Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T10:17:48.684735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 329f2ac3-a9f7-49b9-ba73-f5b1f659669b · inbound

PromptGuard: An Orchestrated Prompting Framework for Principled Synthetic Text Generation for Vulnerable Populations using LLMs with Enhanced Safety, Fairness, and Controllability cites this paper.

PromptGuard: An Orchestrated Prompting Framework for Principled Synthetic Text Generation for Vulnerable Populations using LLMs with Enhanced Safety, Fairness, and Controllability Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T20:04:29.410105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 936f4ea3-c651-4793-9a86-e0cf6ab8156a · inbound

The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs cites this paper.

The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T10:26:11.108841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afba5bbc-3c34-4647-9d1b-f7ab41a7aecb · inbound

Empathic Prompting: Non-Verbal Context Integration for Multimodal LLM Conversations cites this paper.

Empathic Prompting: Non-Verbal Context Integration for Multimodal LLM Conversations Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:49.221587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e7c840e-a98e-4bbb-8e16-c29510d029e3 · inbound

The Role of Emotional Stimuli and Intensity in Shaping Large Language Model Behavior cites this paper.

The Role of Emotional Stimuli and Intensity in Shaping Large Language Model Behavior Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:10:50.163603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3f104a88-3437-4a96-a458-50894baca06a · inbound

Emotion Concepts and their Function in a Large Language Model cites this paper.

Emotion Concepts and their Function in a Large Language Model Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:35:58.260485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3853c3b3-0f74-4304-b87b-0011208b4989 · inbound

TEMPER: Testing Emotional Perturbation in Quantitative Reasoning cites this paper.

TEMPER: Testing Emotional Perturbation in Quantitative Reasoning Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:25:59.461576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b47d83de-2a4f-45e1-b9af-64daaebe908b · inbound

DSIPA: Detecting LLM-Generated Texts via Sentiment-Invariant Patterns Divergence Analysis cites this paper.

DSIPA: Detecting LLM-Generated Texts via Sentiment-Invariant Patterns Divergence Analysis Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:01:26.024437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 77308eab-abff-43a9-a8a5-9b185d5759da · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 116

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:17:53.922777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e8432b8b-ac9f-4485-9c64-7733caadfec8 · inbound

EmoMind: Decoding Affective Captions from Human Brain fMRI cites this paper.

EmoMind: Decoding Affective Captions from Human Brain fMRI Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:27:54.047528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f3dbe960-4bb5-4f35-937c-b7e5627557e7 · inbound

Personality, Role, and Expressive Style in Large Language Models: An Interactionist Analysis cites this paper.

Personality, Role, and Expressive Style in Large Language Models: An Interactionist Analysis Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:53:26.450590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a4d6869e-48f3-448e-b5cd-ef3684848905 · inbound

Dissociative Identity: Language Model Agents Lack Grounding for Reputation Mechanisms cites this paper.

Dissociative Identity: Language Model Agents Lack Grounding for Reputation Mechanisms Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:32:53.071225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 36a49bcc-2339-4b60-ba4d-df16abfb5197 · inbound

Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models cites this paper.

Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T20:32:38.013540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed560974-1bb7-4b3d-a812-7ae866230ea0 · inbound

Relational Intervention During Functional Collapse in Large Language Models: A Lexical-Statistical Ablation and a Structure x Register Factorial cites this paper.

Relational Intervention During Functional Collapse in Large Language Models: A Lexical-Statistical Ablation and a Structure x Register Factorial Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:46:14.116758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6a4166e-f55c-4a21-a96b-5c929b6abbe4 · inbound

CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation cites this paper.

CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:18:37.601715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9840cae5-b75d-46bd-8e45-f2759674a732 · inbound

Caring Without Feeling: Affective Dynamics as the Control Layer of Human-AI Agent Collaboration cites this paper.

Caring Without Feeling: Affective Dynamics as the Control Layer of Human-AI Agent Collaboration Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:35:07.576432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 280f527b-2aed-4b52-a215-58a8662d291c · inbound

Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models cites this paper.

Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:49:37.542563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 487af34c-5607-4194-a4db-c31f9c4a56f0 · inbound

Clinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI Benchmarking cites this paper.

Clinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI Benchmarking Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T02:04:28.150277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f31ff257-5d9b-4324-9a89-80907ddf2ae7 · inbound

Agents with Feelings? Personality and Emotion in Multi-Agent Software Teams cites this paper.

Agents with Feelings? Personality and Emotion in Multi-Agent Software Teams Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T04:13:09.768648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15924eda-a337-42f4-843e-3db0cb0a464e · inbound

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging cites this paper.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T22:28:23.974831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ae3bba9-40d2-4e95-adb8-3f2aa784dd14 · inbound

ZifaMem: Structured Memory for Persona, Preference, and Emotional Continuity in AI Companions cites this paper.

ZifaMem: Structured Memory for Persona, Preference, and Emotional Continuity in AI Companions Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T17:39:48.571053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.