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Paper Citation Record · LEDGER

Large Language Models Understand and Can be Enhanced by Emotional Stimuli

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 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 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 43 of 43 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:00:37.447408Z

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

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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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T21:52:09.938550Z digest=sha256:c86fb5b1d57df4b0ca34343fc6586f073fe84dcc093bc6324de4f3c056a887d4

Observation ecc279c4-de27-4ddf-81d3-90651ad847fd · inbound

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation cites this paper.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 37

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source=pdf_text observed=2026-08-12T20:00:37.447408Z digest=sha256:35264a70d3bb2f42e3b2ce09bf7f98fdf500f277c74429a164c05c5f2e7783ee

Observation ec767123-acd6-4d8c-83dd-2cccfe897406 · inbound

Understanding Emotional Body Expressions via Large Language Models cites this paper.

Understanding Emotional Body Expressions via Large Language Models Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 21

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source=arxiv_source observed=2026-08-11T14:01:01.629545Z digest=sha256:1393daa01c1e86a468efb4e3c6096c66ccf9c2892758cc86e3fbd8f252351866

Observation 383f8380-1c35-4df1-8196-b2172be04d24 · inbound

A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science cites this paper.

A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 19

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:31:33.102344Z digest=sha256:da556901ec6c68ee9212f84275d53bbbf6cc3336b76c52a381b094fc3c070ce5

Observation e836cf94-1e7b-4444-bbed-f169f5ad633d · inbound

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification cites this paper.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 8

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source=pdf_text observed=2026-08-11T10:34:53.344478Z digest=sha256:f9fec88b350d646b03b650f61ff29274731899bb46505fb9e6b01f41a0b0161d

Observation 06e4d18d-dc61-4c6c-8215-71eccb3aabf9 · inbound

A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models cites this paper.

A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:58.992852Z digest=sha256:9b061375e8277c013bf511050796aedfff35b406c9127f8e610712e092b46d2d

Observation d025ef5c-d33e-4560-aaa7-48ff4502fb99 · inbound

Online Prompt Selection for Program Synthesis cites this paper.

Online Prompt Selection for Program Synthesis Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 13

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no resolver link, observed 2026-08-10T21:18:59.435151Z

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source=arxiv_source observed=2026-08-10T21:18:59.435151Z digest=sha256:c5f49cc534d92b0f243f7c381cfe18b645c427beffd6d0d4a14f617f0cd33a34

Observation 45163d45-fac9-4715-964a-78340b51e047 · inbound

Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models cites this paper.

Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 11

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source=pdf_text observed=2026-08-10T20:38:52.632907Z digest=sha256:ba0e832395b8f97d9fa47332c96c0ae3cbdded0588e1d5d01ba164373e9e0cb3

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

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source=arxiv_source observed=2026-08-08T18:32:29.186155Z digest=sha256:32bc5576f1b17dc23e35569fd100949aa0e45c3606ab50f3c5e6eafa744ba042

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:39.911129Z digest=sha256:5f251194607656cab7afdd07a4afa053f269a51bbb23d07a78d47c45ecfe557f

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

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source=pdf_text observed=2026-08-07T11:10:18.388082Z digest=sha256:0c7d4afcb67ef55823243721134b10636ed407a4e82024e299a54aa34ef044c8

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:40.566515Z digest=sha256:8c6429cf9ed41080f05230f9f9f521a93dcb07dee19491c9912b1d036b30147f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:08:35.146498Z digest=sha256:5ba801426b83a9661f036618e63ba7fe4ed6c425bd16635943c005597ffd7749

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

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source=pdf_text observed=2026-08-07T04:07:56.008780Z digest=sha256:9a5195745166b776abb18811af2435e84e159e99343b9303529ca11158c99b87

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:31:09.462184Z digest=sha256:bf1e534d50f73baf17a8780f732d17886a3f29bd2da4c6a130e9d074a51f2222

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

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source=pdf_text observed=2026-08-06T18:40:04.494412Z digest=sha256:c57e9ba5072ba56d2d02a02ef184378d696d7ca5cf0358bd33612d69b6439b3a

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.119561Z digest=sha256:7fc0a0975b3397420b4d1d32660285712516729350dabc86b9c992245e197e2e

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:34.191970Z digest=sha256:5209c26f1aadc69deb722757ab7b4697aa3a78ae5d31e1765beba872c0cc4caa

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

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source=pdf_text observed=2026-08-06T15:10:30.107348Z digest=sha256:e716e632fcf1a3d3d2df2b0520e5fadb225ab4596bf6921605004d79389175bc

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

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source=pdf_text observed=2026-08-05T21:09:00.397990Z digest=sha256:08e8cf4f0e9069c02af85933c0cf22a7627b02f795b41cd836aec9b0753e0267

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:21:53.045479Z digest=sha256:598d370560d90efc463ecfd03199d13417b76dfc2ca43630de1a66493a72e3a5

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

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

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source=pdf_text observed=2026-08-05T10:58:21.981720Z digest=sha256:59f3bfc50d39750fef7134b4197bcbe097e92c0fd1fbef5ec4a5624ea28e9a72

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

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

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source=pdf_text observed=2026-08-05T10:17:48.684735Z digest=sha256:95d8c9125818c202d6ebb48cbe371eda04f132ca956176ed5a559e07f7379e7b

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

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source=pdf_text observed=2026-08-04T20:04:29.410105Z digest=sha256:9c0eba2638479309bddd918f42f7db6bc13978dd888a66b01293a94c24c3cb1e

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

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source=arxiv_source observed=2026-08-04T10:26:11.108841Z digest=sha256:249ef4ba3d2194a2484156f727d6efa862610809f162ff8388b4801daa43d98b

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

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source=pdf_text observed=2026-08-04T08:26:49.221587Z digest=sha256:cc0b640185eb9ff3f236cb1a5ab6a32d16e802bea524b655c63364d6ddc5ba5a

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T20:10:12.204925Z digest=sha256:1f5897839087ab4128499af48ec1222681bc7c5e95356f0b4e339c7ba628b60b

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T18:03:52.210931Z digest=sha256:88f7d6bbfc1732cdc220f23d904017557dd0df5546d7282e48adc20f093b3aa5

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T18:08:36.216189Z digest=sha256:121a51ceb200a6596be8710a49e4cf0ae0769d8a25b4cfa614337cbf833be73b

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T13:13:35.419106Z digest=sha256:62035539932436834e3dddcca224416b65d9877aaa9deaf997ef1a1c2e0579fc

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

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:79b5be1a8d9963698942762ba3135257ec591cc0230d14bea9b135f08f04bbc1

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T20:24:55.900035Z digest=sha256:40f33eb1e38810aede51642cb378c088e95ae2710219814bc12548ff72c5cc0a

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T12:51:55.169884Z digest=sha256:775fc59065762e0ea684d563bd012280451e473b4140a85d981f4a1d04f66e0e

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T00:26:54.019256Z digest=sha256:fbf9172bd6ad148a5ddfa4496bc01d6ac01b4025b980c0d1cf19079a73ab624a

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T18:32:29.161640Z digest=sha256:fe0f2d4aa4d896012eaccb17a988a817cc753fd61a2d6fd5111fbf2315ddfc45

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T17:43:14.182982Z digest=sha256:86b4f0db297aa88895285dc05f9d48f5b19862b113de7e7384f5ea1b1b1dc3c8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T05:56:51.623324Z digest=sha256:1ee7ac161ae26d2176476715676fdba300f48cefcb2f9f6fc95e264076881232

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T23:29:42.265595Z digest=sha256:345bc2c7502213acc9fa8c1ecc8f1e03658206524cfca5ea92fbfad51a5213b3

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-26T14:13:13.678245Z digest=sha256:df7b57e13dbb8255a1b0654d51abd2c036c5387fb60debfb5ed57c8228e3be38

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.

source=pdf_text observed=2026-08-03T02:04:28.150277Z digest=sha256:944e9aee19ba7717596df905152d8f2d5d1218a1f76f87887df2d4a47fc5bd2d

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.

source=pdf_text observed=2026-07-11T04:13:09.768648Z digest=sha256:d547393cbd37fede51782c2bef439adfcea59b69c6cc48271f43c88bdaf55f38

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.

source=pdf_text observed=2026-08-01T22:28:23.974831Z digest=sha256:5aafe308b4793db7666b30e2fe3352e3c0181b75f0da1352210cb5e88283c202

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.

source=pdf_text observed=2026-08-01T17:39:48.571053Z digest=sha256:b40c54dbb49fe118221255062778ae6528aef2580cd9b56311b085a1166e8393