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Paper Citation Record · LEDGER

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach

As of 17 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2505.09576.

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

pith.paper-citation-record.v1
2505.09576 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:30:36.501907Z

measured 79 of 79 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

79 of 79 outbound references displayed

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Outbound references

Observation a2f97a89-2c4c-435e-8f66-ae960d5573dd · outbound

This paper cites Materializing morality: Design ethics and technological mediation,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Materializing morality: Design ethics and technological mediation,

Reference 1

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Observation 1448fbe6-95a4-4ecb-b8cb-d01dcc4110b4 · outbound

This paper cites Computing and moral responsibility,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Computing and moral responsibility,

Reference 2

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Observation ba5bcbe5-09b0-432d-a4ba-a6045edb5a2f · outbound

This paper cites Enhancing Critical Thinking in Education by means of a Socratic Chatbot.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Enhancing Critical Thinking in Education by means of a Socratic Chatbot

Reference 3

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Observation ee0d4ecf-36a0-4b4c-8217-586a194e1c93 · outbound

This paper cites Prompting large language models with the Socratic method,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Prompting large language models with the Socratic method,

Reference 4

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Observation 2a5fd0c3-61f9-44fe-a3cf-6c8fcb4bc0a9 · outbound

This paper cites Deciphering deception: How different rhetoric of AI language impacts users’ sense of truth in LLMs,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Deciphering deception: How different rhetoric of AI language impacts users’ sense of truth in LLMs,

Reference 6

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Observation 01150e78-1e71-44f0-9918-0d674ff56224 · outbound

This paper cites Do LLMs write like humans? Variation in grammatical and rhetorical styles.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Do LLMs write like humans? Variation in grammatical and rhetorical styles

Reference 7

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Observation 5e7c189a-7f00-4ab1-995d-f2c3a78e9c40 · outbound

This paper cites Language model behavior: A comprehensive survey,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Language model behavior: A comprehensive survey,

Reference 8

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Observation 111e01e8-4405-4405-978c-39945c720ec4 · outbound

This paper cites Hankel, C.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Hankel, C

Reference 9

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Observation 1a44d2cd-e969-4df4-89eb-cfce77a6ae4c · outbound

This paper cites ‘We were learning from each other’: Nuancing learner-AI relationships in assessing rhetorical features of disinformation,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach ‘We were learning from each other’: Nuancing learner-AI relationships in assessing rhetorical features of disinformation,

Reference 10

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Observation 4698ebe2-89cb-449b-919f-6bdec9714cd1 · outbound

This paper cites How persuasive is AI-generated argumentation? An analysis of the quality of an argumentative text produced by the GPT-3 AI text generator,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach How persuasive is AI-generated argumentation? An analysis of the quality of an argumentative text produced by the GPT-3 AI text generator,

Reference 11

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Observation 595c803c-7ee1-405d-babc-b4e1bee01216 · outbound

This paper cites Working with AI to persuade: Examining a large language model’s ability to generate pro-vaccination messages,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Working with AI to persuade: Examining a large language model’s ability to generate pro-vaccination messages,

Reference 12

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Observation 66a274a3-f2c3-40f2-8ccb-e4b6888a261a · outbound

This paper cites Measuring the persuasiveness of language models.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Measuring the persuasiveness of language models

Reference 13

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Observation 96e90c17-50f8-4015-8052-303ea6c9e5cf · outbound

This paper cites Bogost, Persuasive Games: The Expressive Power of Videogames.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Bogost, Persuasive Games: The Expressive Power of Videogames

Reference 14

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Observation 991fa0d9-b646-4b3c-bcdc-0ba4c0f1ca1a · outbound

This paper cites RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

Reference 15

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Observation cfef34eb-55a5-4923-b85b-7055b566bcf5 · outbound

This paper cites Reinforcement Learning for LLM Post-Training: A Survey.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Reinforcement Learning for LLM Post-Training: A Survey

Reference 16

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Observation 9e3285c6-aadf-4320-9c02-f8f77df19b84 · outbound

This paper cites Nothing comes without its world: Practical challenges of aligning LLMs to situated human values through RLHF,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Nothing comes without its world: Practical challenges of aligning LLMs to situated human values through RLHF,

Reference 17

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Observation 86028425-258e-49e0-83a2-d8ab757b7a45 · outbound

This paper cites Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models

Reference 18

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Observation e27fb5ad-d033-41e5-a2fc-3b565756d5a8 · outbound

This paper cites Illustrating reinforcement learning from human feedback (RLHF).

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Illustrating reinforcement learning from human feedback (RLHF)

Reference 19

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Observation ed8c42ae-4f28-4c91-8828-1a46146afd63 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Fine-Tuning Language Models from Human Preferences

Reference 20

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Observation 139bbce0-b60f-47a0-b30b-1360463a067f · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach WebGPT: Browser-assisted question-answering with human feedback

Reference 21

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Observation 372f784b-2754-4aa8-a826-ce81b9c845bf · outbound

This paper cites Don`t blame the annotator: Bias already starts in the annotation instructions,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Don`t blame the annotator: Bias already starts in the annotation instructions,

Reference 22

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Observation c64e3fd7-5979-4976-b617-92993b4aa9e6 · outbound

This paper cites Can Neural Machine Translation be Improved with User Feedback?.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Can Neural Machine Translation be Improved with User Feedback?

Reference 23

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Observation 3eff11ad-e54f-4953-8773-aa05a35af700 · outbound

This paper cites Training language models to follow instructions with human feedback.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Training language models to follow instructions with human feedback

Reference 24

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Observation 5891ee9a-59aa-42ff-9527-860edc12ad52 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 25

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Observation c35d54e5-d7a7-4130-9a4a-60af67950523 · outbound

This paper cites Teaching language models to support answers with verified quotes.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Teaching language models to support answers with verified quotes

Reference 26

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Observation c15e9c54-7036-46d7-8e33-9a41296b7a8d · outbound

This paper cites Reward-Robust RLHF in LLMs.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Reward-Robust RLHF in LLMs

Reference 27

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Observation cd041be0-fc0d-4e3d-8b33-7a3bf743be85 · outbound

This paper cites Reinforcement learning from human feedback in LLMs: Whose culture, whose values, whose perspectives?,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Reinforcement learning from human feedback in LLMs: Whose culture, whose values, whose perspectives?,

Reference 28

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Observation 400b8515-34bf-42c5-ad25-12acc065d156 · outbound

This paper cites Through the LLM looking glass: A Socratic self-assessment of donkeys, elephants, and markets,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Through the LLM looking glass: A Socratic self-assessment of donkeys, elephants, and markets,

Reference 30

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Observation 41424a17-a943-4868-93b3-8aae5a6d711e · outbound

This paper cites Towards Measuring the Representation of Subjective Global Opinions in Language Models.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Towards Measuring the Representation of Subjective Global Opinions in Language Models

Reference 31

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Observation 61768705-5d34-4a6f-aa6a-e2588722ec7d · outbound

This paper cites RLAIF vs. RLHF: Scaling reinforcement learning from human feedback with AI feedback,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach RLAIF vs. RLHF: Scaling reinforcement learning from human feedback with AI feedback,

Reference 32

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Observation 2cd9d082-d706-4ec6-942a-5ac374fa696b · outbound

This paper cites RLHF Workflow: From Reward Modeling to Online RLHF.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach RLHF Workflow: From Reward Modeling to Online RLHF

Reference 33

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Observation 2b52072a-46c7-490a-aaab-be98128eb728 · outbound

This paper cites Here comes everything: The promise of object-oriented ontology,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Here comes everything: The promise of object-oriented ontology,

Reference 34

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c535ffac-310f-4f13-841b-5842d04575d8 · outbound

This paper cites Harman, Object-Oriented Ontology: A New Theory of Everything.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Harman, Object-Oriented Ontology: A New Theory of Everything

Reference 35

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9c8db490-998d-4327-8fc8-5084c53a2636 · outbound

This paper cites an unresolved cited work.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 475661cb-4a98-4efe-89b9-3f1f0845ea6a · outbound

This paper cites Eyman, Digital Rhetoric: Theory, Method, Practice.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Eyman, Digital Rhetoric: Theory, Method, Practice

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.344114Z digest=sha256:eab9ccf365d7810dcd923c81ec1b9b06cd5999bffb6533c67cde019694959bd4

Observation 2a2fc1d6-67a4-4e02-8356-b6c23565f5ec · outbound

This paper cites Warnick, Critical Literacy in a Digital Era: Technology, Rhetoric, and the Public Interest.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Warnick, Critical Literacy in a Digital Era: Technology, Rhetoric, and the Public Interest

Reference 38

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source=pdf_text observed=2026-08-15T21:30:36.347421Z digest=sha256:0d40ad6b8bcac048e9718fa2e68f7780cacdbb6786d069e5f5891fdf18be4208

Observation de943d98-e442-4d69-9d72-c8e57bfdaf1e · outbound

This paper cites Losh, Virtualpolitik: An Electronic History of Government Media- Making in a Time of War, Scandal, Disaster, Miscommunication, and Mistakes.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Losh, Virtualpolitik: An Electronic History of Government Media- Making in a Time of War, Scandal, Disaster, Miscommunication, and Mistakes

Reference 39

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source=pdf_text observed=2026-08-15T21:30:36.350787Z digest=sha256:cf27a4a5d70f62a55cb460a5876ca4a20e4a170b82b781f45edead64fe166670

Observation 552e6fe4-0de0-47eb-bb7e-344340f788de · outbound

This paper cites Digital rhetoric: Toward an integrated theory,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Digital rhetoric: Toward an integrated theory,

Reference 40

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.354192Z digest=sha256:cc0ece2bffc0b9c683c48afa4ed588b55b70c0dd2f18335b4fdcc26f3933af61

Observation dc97ec72-cf8f-436f-9fa3-4fad92a66208 · outbound

This paper cites an unresolved cited work.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-15T21:30:36.358116Z digest=sha256:f8376c807483678c58f91b7ce7aac5ad3e4733905cd5ff2cb711ebcfda2335e5

Observation 8dbe23dc-5620-4164-960a-74dba46893c2 · outbound

This paper cites Clary-Lemon and D.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Clary-Lemon and D

Reference 42

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.361748Z digest=sha256:f99df1aed13a476565714d73fb48b718d81e63d5d458988e1fa90549e90f0e41

Observation bda2a500-1571-4458-9fb6-29794f2c75fe · outbound

This paper cites Mateus, Ed., Media Rhetoric: How Advertising and Digital Media Influence Us.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Mateus, Ed., Media Rhetoric: How Advertising and Digital Media Influence Us

Reference 43

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source=pdf_text observed=2026-08-15T21:30:36.365334Z digest=sha256:a28457d92192cd3241174602d7bd2a19bcd10b2afe26177db5f4126ea673212c

Observation 107bae14-e6c9-43fd-8b8d-8e43239edeeb · outbound

This paper cites Machinic rhetorics and the influential movements of robots,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Machinic rhetorics and the influential movements of robots,

Reference 44

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.369053Z digest=sha256:57ca51c4d80221ccbeaba50f7d4e33799ce755f19b73c3362a156d2e0727b07c

Observation e6bae995-a872-4735-b576-a1cd7c31731d · outbound

This paper cites Rhetorical figures, arguments, computation,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Rhetorical figures, arguments, computation,

Reference 45

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.372521Z digest=sha256:bf7a780c380c92cdf314d1a8c26bd116cb008f5a67090cc0cd69fc42c80f087f

Observation 7ac5ad12-0415-4822-8ce2-a520535b8c24 · outbound

This paper cites Towards an algorithmic rhetoric,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Towards an algorithmic rhetoric,

Reference 46

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.376123Z digest=sha256:0867217ed148fa2301facb792b31ec78e245c4117b40ab46b11d1e6a14f0621f

Observation ff71b8e1-4ee4-4c4e-a4f5-d9b49a07a77b · outbound

This paper cites Manovich, The Language of New Media, Cambridge, MA, USA: MIT Press, 2001.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Manovich, The Language of New Media, Cambridge, MA, USA: MIT Press, 2001

Reference 47

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source=pdf_text observed=2026-08-15T21:30:36.379750Z digest=sha256:966ae9ad5a88bebb31f1725552796e8b0e2fe377dbf6176454f0e10eb62b3140

Observation 98665190-664b-46a4-a619-88de05b530bf · outbound

This paper cites an unresolved cited work.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-15T21:30:36.383349Z digest=sha256:728355917f709046f068988dd0039fcecdef164a48d749b2779ab77444ffdc03

Observation b913426f-c50b-48b7-bb1e-37f94580a456 · outbound

This paper cites an unresolved cited work.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-15T21:30:36.386950Z digest=sha256:83044b782ad45919ed7103485ce3217dae3d395234d3954363a192bac3bdc6fb

Observation 2660be92-86e9-4a65-8256-adedd1fa914f · outbound

This paper cites an unresolved cited work.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-15T21:30:36.390527Z digest=sha256:ddd90b0205f385ddb2154502f03b951c98a1d73269c8db4e41c15f60ddfb116e

Observation 06d2f1f8-a312-4fc8-a70f-2d07a22de7c3 · outbound

This paper cites an unresolved cited work.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Unresolved cited work

Reference 51

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.393331Z digest=sha256:7b6df3789d889eb3602cf0c08c97a93994770b2dadce853313e25d28d1b3c7ba

Observation de78eb47-e581-443c-a799-7040a62f0d49 · outbound

This paper cites Linguistic bias in ChatGPT: Language models reinforce dialect discrimination,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Linguistic bias in ChatGPT: Language models reinforce dialect discrimination,

Reference 52

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source=pdf_text observed=2026-08-15T21:30:36.396202Z digest=sha256:d81e21f475a51194019f8e523754d863de32911fc5c1b749209668095baff5c0

Observation 0346a8f2-e4c6-44c9-8c8e-a0b6397afae8 · outbound

This paper cites Do LLMs exhibit human-like response biases? A case study in survey design,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Do LLMs exhibit human-like response biases? A case study in survey design,

Reference 53

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source=pdf_text observed=2026-08-15T21:30:36.399398Z digest=sha256:ab96cc2a6768f24e59b4eea08b08f5b63d28259268e93e3f4e058414d07c1dbe

Observation 061f2090-0bb1-41c8-b2fe-370fcfb03674 · outbound

This paper cites an unresolved cited work.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-15T21:30:36.402737Z digest=sha256:fb5d32940330fe72d76229a36ed17d4c2aee48ad8c2bbce5c77fa6ea8df83e59

Observation a44011fa-b477-4436-a416-c0e60205bc3d · outbound

This paper cites Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback

Reference 55

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source=pdf_text observed=2026-08-15T21:30:36.406547Z digest=sha256:0c5ade5a7462ae3ac3eef6e0051f79ba22356ac250537db2612d60b2d8cd98eb

Observation 825d05f5-8157-4855-9620-4d80babbb0d4 · outbound

This paper cites AI is weaving itself into the fabric of the internet with generative search.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach AI is weaving itself into the fabric of the internet with generative search

Reference 56

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source=pdf_text observed=2026-08-15T21:30:36.410507Z digest=sha256:c9fc4793b66e02d90888b43133de1f04cc427a018cc258da28531845198248c2

Observation 20abcd4f-0f93-4338-a02e-997bbf7c64d6 · outbound

This paper cites Chat GPT and the voices of reason, responsibility, and regulation,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Chat GPT and the voices of reason, responsibility, and regulation,

Reference 57

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.414675Z digest=sha256:77bf4a85a0d8ba08cbf73f8c2c682043eeb093e4bded506756e17f3849673156

Observation 7f3f1451-6948-4aa0-a853-f482a1f256b2 · outbound

This paper cites Socratic ChatGPT: Theory, design, and empirical evaluations,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Socratic ChatGPT: Theory, design, and empirical evaluations,

Reference 58

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.418260Z digest=sha256:775f4e20ed082ddc1cb947393e7bbdce9dbf427fbc87bc515f83bafb63d2eabe

Observation 34f1a2ba-e60e-43e4-997a-56abb812b985 · outbound

This paper cites When Human-AI Interactions Become Parasocial: Agency and Anthropomorphism in Affective Design,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach When Human-AI Interactions Become Parasocial: Agency and Anthropomorphism in Affective Design,

Reference 60

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source=pdf_text observed=2026-08-15T21:30:36.425162Z digest=sha256:58fa0aceced1b4dcf8c83708c78f113a4795c4addcec1f431a9cb62efd534562

Observation b5fa8a6d-78ba-44a5-b160-486c84efe4fb · outbound

This paper cites Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects

Reference 61

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source=pdf_text observed=2026-08-15T21:30:36.428743Z digest=sha256:60099d84596ad0f57e75d9da59eaf966dc7fa0e5a75dc1be41e5a7e8b956e994

Observation 298925a9-a579-471b-8c66-604d14f09ae3 · outbound

This paper cites The Ethics of Advanced AI Assistants.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach The Ethics of Advanced AI Assistants

Reference 62

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source=pdf_text observed=2026-08-15T21:30:36.432761Z digest=sha256:3a4c708c6169748522ccc47817ae9bf131e6b258746f80edce967d4a3b1bf2cf

Observation d385403c-d873-4111-9b8b-c8c646f03d3c · outbound

This paper cites The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: a systematic review,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: a systematic review,

Reference 63

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source=pdf_text observed=2026-08-15T21:30:36.437430Z digest=sha256:70d0e453b0fd894db69cc9152b565249223c178279f5eca0605cb0df171b5453

Observation 96f312b8-a1a5-406e-856c-ef4d992b7d64 · outbound

This paper cites The impact of generative AI on critical thinking: Self- reported reductions in cognitive effort and confidence effects from a survey of knowledge workers,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach The impact of generative AI on critical thinking: Self- reported reductions in cognitive effort and confidence effects from a survey of knowledge workers,

Reference 64

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source=pdf_text observed=2026-08-15T21:30:36.441015Z digest=sha256:a491765c95c99796a61e560991cb88d8805e7f50317eec23bde44f5a544461e7

Observation b06b2fc9-a5a3-4a4d-b2f9-d6678306839b · outbound

This paper cites Algorithmic literacy, AI literacy and responsible generative AI Literacy,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Algorithmic literacy, AI literacy and responsible generative AI Literacy,

Reference 65

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source=pdf_text observed=2026-08-15T21:30:36.444632Z digest=sha256:bd485da9acec15b8024b4cca8fc3039779d40515223e6a0677419c5d6f37e471

Observation 2d93a6fe-2f9b-4c0b-a90a-82af60b72521 · outbound

This paper cites Generative AI in academic research: perspectives and cultural norms.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Generative AI in academic research: perspectives and cultural norms

Reference 66

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.448399Z digest=sha256:bb1ff662ab5efc2785b1bfc47ed5af0d165640721ec3483d994aa382c1416789

Observation 13013a26-dcc8-4694-8dda-3d125f2e5379 · outbound

This paper cites Exploring relationship development with social chatbots: A mixed-method study of Replika,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Exploring relationship development with social chatbots: A mixed-method study of Replika,

Reference 67

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source=pdf_text observed=2026-08-15T21:30:36.452025Z digest=sha256:2ffdb93f2a15961c9045d970e04a0263757915891f3b8825a4c767b6f5c5865c

Observation f64f2c4c-2039-4c68-ba49-603b62502974 · outbound

This paper cites an unresolved cited work.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Unresolved cited work

Reference 68

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.455073Z digest=sha256:dc3aad9dfc81faf3ac8d8e62e13a008fbb3679592d457c36b557f6e639390e0b

Observation 075d253d-0800-4af5-8260-05f0ef753bd3 · outbound

This paper cites The potential of generative AI for personalized persuasion at scale,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach The potential of generative AI for personalized persuasion at scale,

Reference 69

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source=pdf_text observed=2026-08-15T21:30:36.458331Z digest=sha256:d4871f19949a1f17a29ab7a9995e594ea49631a6dce646bf0f51a8da6240b910

Observation 5f33c41b-fd2b-41ac-94dc-aa8159c3470a · outbound

This paper cites Possibilities and challenges in the moral growth of large language models: a philosophical perspective,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Possibilities and challenges in the moral growth of large language models: a philosophical perspective,

Reference 70

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source=pdf_text observed=2026-08-15T21:30:36.461498Z digest=sha256:a318324a5015eef8e59d7274bb86c0c83b707606f7c7c195bef949263215a262

Observation 2601b665-dc5c-4f30-8238-8082beca4826 · outbound

This paper cites Interpersonal touch as a resource to facilitate positive personal and relational outcomes during stress discussions,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Interpersonal touch as a resource to facilitate positive personal and relational outcomes during stress discussions,

Reference 71

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.464469Z digest=sha256:67af80c6ccf7728ae04458260bf13a6d3e1dda4acb73bf40509e2b5536ca15fc

Observation e976e2f8-f57b-4716-81e2-845caf2407f6 · outbound

This paper cites Determinants for positive and negative experiences of interpersonal touch: context matters,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Determinants for positive and negative experiences of interpersonal touch: context matters,

Reference 72

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source=pdf_text observed=2026-08-15T21:30:36.468055Z digest=sha256:e0993c0caa104bd24ce043ffa860f2988215aa5cb79e1d9b7be46c9d2ced49f7

Observation e4492494-bbd7-40cf-a683-226fdc3fa8db · outbound

This paper cites Affectionate touch promotes shared positive activities,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Affectionate touch promotes shared positive activities,

Reference 73

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.471808Z digest=sha256:4e354b75460b3220360b08652106120b427cf57fd185ad2bb3a48e55e02b4735

Observation 83bb990a-054c-4a6a-845e-b05dd4e88340 · outbound

This paper cites Mimetic models: Ethical implications of AI that acts like you,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Mimetic models: Ethical implications of AI that acts like you,

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:30:36.475833Z digest=sha256:d9fcb99f5d0165c7085bdf9d9bce3b8ee930694372cda8987e23446e81240c47

Observation 30a77403-619e-4b75-9aed-d3b12951fde2 · outbound

This paper cites Creating a safe Replika experience.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Creating a safe Replika experience

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:30:37.819812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.479359Z digest=sha256:0a76fe5539ca9ec906cdc8d0f69c712bb29b04b6045065d839ed2cf8e23520cd

Observation 8b6278aa-aecd-4cfb-8429-aae7d6263ea3 · outbound

This paper cites Ideal technologies, ideal women: AI and gender imaginaries in Redditors’ discussions on the Replika bot girlfriend,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Ideal technologies, ideal women: AI and gender imaginaries in Redditors’ discussions on the Replika bot girlfriend,

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T21:30:36.486838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:30:36.486838Z digest=sha256:5f8a4970bf0798d7e4547b5fcba7da942e9ea411f815de6287cd817754e5f655

Observation e6534b4e-2053-433f-b1ce-6296bd95447f · outbound

This paper cites Available: https://blog.replika.com/posts/creating-a- safe-replika-experience.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Available: https://blog.replika.com/posts/creating-a- safe-replika-experience

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:30:37.807536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.483050Z digest=sha256:33ad1db7a52632d209854063747b01577431c6b2fe1edc35e273b3ec081fec14

Observation 3416b243-1fe5-4830-98e5-3e0cc3ea9ba0 · outbound

This paper cites AI in counselling: Perceptions on human vs AI generated chat counselling,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach AI in counselling: Perceptions on human vs AI generated chat counselling,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:30:37.795515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.493778Z digest=sha256:a94b89b79b96365664b4e35f74aedaecaa417610b61206c0fabb55def633ebdc

Observation fc0135fa-6ac0-49dc-8a08-334dc6e7a073 · outbound

This paper cites Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms,

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-15T21:30:36.490404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:30:36.490404Z digest=sha256:56056ddf7a032bb4ea1d6b7cc458b5aaf459cbaac5946347ca7eea96df3ab2aa

Observation 20c480f9-bd49-450a-9d98-a5082ef7a708 · outbound

This paper cites The dark side of AI companionship: A taxonomy of harmful algorithmic behaviors in human-AI relationships,.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach The dark side of AI companionship: A taxonomy of harmful algorithmic behaviors in human-AI relationships,

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-15T21:30:36.501907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:30:36.501907Z digest=sha256:1b4209a0165f626546ef09e61cc62562e4cf0773e352dea702ec466aeadc3791

Observation 33438a90-c23e-4b50-ad0f-a9b3736bd7b9 · outbound

This paper cites LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T21:30:36.497607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:30:36.497607Z digest=sha256:8362e70136904d72d612a0350771aa8cfe036c5047506d0522a608e92dbc6104

Observation e6c9c873-5d8f-46cc-80f2-b92399f9f96f · outbound

This paper cites Available: https://repository.isls.org//handle/1/11184.

Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach Available: https://repository.isls.org//handle/1/11184

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:30:38.079342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:30:36.243776Z digest=sha256:0041004201d2a8d873ea1d154a73e63b6c664642ceacb9ec59890d82abce3f07

Pith citing papers

No inbound Pith citation observations are available.