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Paper Citation Record · LEDGER

Large Language Models Understand and Can be Enhanced by Emotional Stimuli

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 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 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:39.911129Z

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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  • 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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:52:09.938550Z digest=sha256:76059599408bf6fb11ec949b12af950a28d554154f6089285c4799f930903408

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:39.911129Z digest=sha256:ceab8c08ae4d5759a72a04bbdde95360209ae1c58d8170613fa84cee984e07f2

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

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source=pdf_text observed=2026-08-07T11:10:18.388082Z digest=sha256:4b0dd6c9ddc0c0579aff8f54601f45576a78b2acba47d3eb19ad327cbff72ddd

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:40.566515Z digest=sha256:26af872bb6fc8050d5a8944ef8c1469782953d1b36420731c507494ec75ac5d4

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:e40983194d3b032fd2abfeb0670725733b4ba2a0f822b33c6abaa702784ce595

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:07:56.008780Z digest=sha256:9ba9956da2d8506000383c3a60190f97c53f718ffccf6084175fc877aacf9a18

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=sha256:45315b5e7057765a9a0748412562cef69ac424dc19d7960f4545b768628ae263

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:40:04.494412Z digest=sha256:4d5b1017557a341e3d16d2f9a1b9fff1bda3cdec4943a7865a3d4e20f2ed391e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.119561Z digest=sha256:99ce905e8732aa3bbe10f5ce634b3654a073218d8166935c8da7b8145eefc2e6

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:34.191970Z digest=sha256:0c59c65c647c858ac6b30f0204d9d9720235d735eab840668bcd3aa60b3d61df

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:10:30.107348Z digest=sha256:66699091975d05891da0fe19d7270618982b08be0da8da040479898139c50948

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:09:00.397990Z digest=sha256:17859542495b563b8db86d5ca87df50ba2e2dcd25bcd040d940eeeea96b8be1a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:21:53.045479Z digest=sha256:118f39b8b39b8684e0220d381afc6c85a55e8e640ef3575dc921efc4354c4a6a

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:58:21.981720Z digest=sha256:41ccb15753034432b657c225d73fbd688bf8508c1bd6e8c5702d804f2f70970e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:17:48.684735Z digest=sha256:c02c838779667a6acd18de54c740911d37568fc1e8e2e6bc24adf379ca0020c2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:04:29.410105Z digest=sha256:735ca932f8d77930623b1d0be7b25379ef7bd126cd8f6a961ee7ca47f61e8475

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:26:11.108841Z digest=sha256:c429e277984e3332c1d798a3bacf46b07830c1f495a15d1b256dbdcc15fb9a3e

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

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source=pdf_text observed=2026-08-04T08:26:49.221587Z digest=sha256:188921f4b82860550e9080442ecb01905b245a8460dfbfc7ee19c8ae0c0a908c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T20:10:12.204925Z digest=sha256:1639fb0ae58b979b6753109431032f7d52481b8784b6cb4d24dfa6c148e66784

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:03:52.210931Z digest=sha256:5509933dc02893216946ac60a47d11ad6ca5b3fdc3fdd1c083be25eefee2cbe5

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:08:36.216189Z digest=sha256:262ad51376da8661c8e6781b15ae01295a8243e456f259c46e8a3908a4242983

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T13:13:35.419106Z digest=sha256:549e7f487bc1202579b55aa90e719ee9b4cfa6640a9fb7aeabcaff1afe5987fb

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:f95da7198cf77f3fd55077bd58d60647f9c38d432e8d16e2970eb5659da7ded8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T20:24:55.900035Z digest=sha256:bc5c0692d0bafd013c619c8415ed2c0a157c394748e260f2c17a485cf807f1c7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T12:51:55.169884Z digest=sha256:2134cb32fadf5bdae59de905ba8af8967ecbff3a5a6c2a11064119f439c7b33b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T00:26:54.019256Z digest=sha256:c321c7fe54a28aaab81e1f6d0733e35a81b3892c49e45a74a38d8eda34c2165c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T18:32:29.161640Z digest=sha256:9338cfb454f449a87c325a8c524beeaeb38e8e3ab8b750af93743457060da17a

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T17:43:14.182982Z digest=sha256:8419ee85b4c48f50db140a1ecbf262392b40fcefdb1d208ded1d5b5ce715fee8

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T05:56:51.623324Z digest=sha256:e2c2fb94ba0f36940a5f1485df5d93c827e230a114bcb04a90a9f709ed583f0f

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T23:29:42.265595Z digest=sha256:846a3217d4b6b3d8636eda775bded49d17145c728b5327aa5124f1157734aae3

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T14:13:13.678245Z digest=sha256:c54ac97ec7630edf26db22fb74beb2eb856b6c24d8f6b8d214dc2601d590f15e

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

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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=sha256:4cc716d4c970f3f9a3877e9b382024ccc249bf92de4303bbc884925e54fcbc50

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

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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=sha256:8eebccd360cefadab741c21922e50f75911a601639b2bf931586263557636b92

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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