Paper Citation Record · LEDGER

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest

As of 8 August 2026, this Paper Citation Record lists 100 of 116 outbound references and 3 inbound Pith citation observations for arXiv:2604.08525.

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

pith.paper-citation-record.v1
2604.08525 v1

Coverage vector

measured 100 of 116 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:11:13.189660Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T07:56:13.270387Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T07:58:07.732655Z

Reference resolution

100 of 116 outbound references displayed

verified exact19
verified fuzzy74
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 197f9888-b80b-40f5-969a-49a5bdd59a27 · outbound

This paper cites Meet Rufus Amazon's new shopping AI.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Meet Rufus Amazon's new shopping AI

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.310392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4960bb1f-e75f-40c5-9d98-c5451a3b0d7c · outbound

This paper cites Market provision of broadcasting: A welfare analysis.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Market provision of broadcasting: A welfare analysis

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.313514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9029c7d3-cbcb-44d5-80e6-28c1bd687293 · outbound

This paper cites The media and advertising: A tale of two-sided markets.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest The media and advertising: A tale of two-sided markets

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.307787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ea2d8b3-b644-4635-b558-1c2a499e8a77 · outbound

This paper cites Can ChatGPT recognize impoliteness? A n exploratory study of the pragmatic awareness of a large language model.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Can ChatGPT recognize impoliteness? A n exploratory study of the pragmatic awareness of a large language model

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.316246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da2fc5a9-ab8e-4c41-a5b8-3c01cf49340b · outbound

This paper cites Political persuasion by artificial intelligence.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Political persuasion by artificial intelligence

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.319868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b2689915-2e9d-4b75-a3df-d2778ac15fc2 · outbound

This paper cites Out of one, many: Using language models to simulate human samples.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Out of one, many: Using language models to simulate human samples

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.322807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 318910e9-38d1-46a3-9a39-8dc5a84862cc · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest A General Language Assistant as a Laboratory for Alignment

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:23:00.363778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2ef342e6-6587-4691-8c62-0efaad9f6126 · outbound

This paper cites The meaning of unfair methods of competition in S ection 5 of the federal trade commission act.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest The meaning of unfair methods of competition in S ection 5 of the federal trade commission act

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.252830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c11e78c6-69c4-4f91-a806-01a63e49ae5d · outbound

This paper cites Llm-generated messages can persuade humans on policy issues.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Llm-generated messages can persuade humans on policy issues

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.256017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5decc733-1316-4491-a4be-b63c6e98ff4e · outbound

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

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-11T07:26:02.211227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f824f464-b5be-4550-8f85-71e3b66187cb · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Constitutional AI: Harmlessness from AI Feedback

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-11T07:26:02.182772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff103b31-3c67-46e3-a42e-01fa05fda59f · outbound

This paper cites Sensitivity, performance, robustness: Deconstructing the effect of sociodemographic prompting.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Sensitivity, performance, robustness: Deconstructing the effect of sociodemographic prompting

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.233439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 74844742-8c35-4727-aaab-5a706f6a7d80 · outbound

This paper cites Utility and relevance of answers.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Utility and relevance of answers

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.239674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d34555df-1ba8-413a-8688-b3df2e65ffb9 · outbound

This paper cites Nudging: Progress to date and future directions.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Nudging: Progress to date and future directions

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.242914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6ee755e-7531-45dd-b479-e3c8233c724f · outbound

This paper cites Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.157184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6c95635b-42bd-4bc5-b12e-c68a50e8e696 · outbound

This paper cites Booking.com launches new AI trip planner to enhance travel planning experience, June 2023.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Booking.com launches new AI trip planner to enhance travel planning experience, June 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.227516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d810d5d5-cb2f-4374-8562-82fcd1b8876c · outbound

This paper cites Salience and consumer choice.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Salience and consumer choice

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.230820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f0a1441-d7c8-4b24-a77d-6b463836602f · outbound

This paper cites A review of online advertising effects on the user experience.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest A review of online advertising effects on the user experience

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:10:46.673243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ca5d3234-25c0-4716-9ebf-215034f57c98 · outbound

This paper cites Politeness: Some universals in language usage, volume 4.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Politeness: Some universals in language usage, volume 4

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.236454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e6fe3a5c-3e4c-4d04-849e-e840c8e94beb · outbound

This paper cites How people use chatgpt.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest How people use chatgpt

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.246148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3cf8aea7-1cda-4000-9849-4aa2e50f0303 · outbound

This paper cites Dailydilemmas: Revealing value preferences of llms with quandaries of daily life.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Dailydilemmas: Revealing value preferences of llms with quandaries of daily life

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.217354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 942b1563-e827-41fa-bd2d-39d633105269 · outbound

This paper cites Deep reinforcement learning from human preferences.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Deep reinforcement learning from human preferences

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.221069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5cdd8c49-7d0c-4b18-bd13-7f290c2e3bce · outbound

This paper cites Manner implicatures in large language models.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Manner implicatures in large language models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.276532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0145d6b1-4b7a-4e76-8278-92bc8539289f · outbound

This paper cites Algorithm aversion: P eople erroneously avoid algorithms after seeing them err.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Algorithm aversion: P eople erroneously avoid algorithms after seeing them err

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.213724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cbe7e51a-4ab4-4af2-bc34-6f0d4efb8edb · outbound

This paper cites Forced exposure and psychological reactance: A ntecedents and consequences of the perceived intrusiveness of pop-up ads.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Forced exposure and psychological reactance: A ntecedents and consequences of the perceived intrusiveness of pop-up ads

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.210027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a851fd9e-95f6-4aa3-9d9e-e6da31f5ada7 · outbound

This paper cites Chatgpt can now assist with travel planning in the expedia app.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Chatgpt can now assist with travel planning in the expedia app

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.202053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 00f22218-f654-431b-86b8-164880fd2878 · outbound

This paper cites FTC policy statement on deception, October 1983.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest FTC policy statement on deception, October 1983

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.206568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e74b1edc-92d6-4831-aee7-e50fff41b375 · outbound

This paper cites Ftc warns hotel operators that price quotes that exclude `Resort Fees' and other mandatory surcharges may be deceptive, November 2012.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Ftc warns hotel operators that price quotes that exclude `Resort Fees' and other mandatory surcharges may be deceptive, November 2012

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.224211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 22c3f9b5-3ec7-40ce-bcff-a2430fb8f7b5 · outbound

This paper cites First amended complaint: Federal Trade Commission v.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest First amended complaint: Federal Trade Commission v

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.249571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff4a6a42-3fd8-4c65-bc45-f19fac427583 · outbound

This paper cites Complaint: In the matter of Shop Tutors, Inc.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Complaint: In the matter of Shop Tutors, Inc

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.290688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5e192f90-32fa-455b-8527-46625d6297b1 · outbound

This paper cites A look at what ISPs know about Y ou: Examining the privacy practices of six major internet service providers.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest A look at what ISPs know about Y ou: Examining the privacy practices of six major internet service providers

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.187330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 98ac839d-71ae-4a38-874a-cd642088e3ac · outbound

This paper cites Bringing dark patterns to light.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Bringing dark patterns to light

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.194646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da58922e-f28c-4143-b7b6-e14cdf9c5790 · outbound

This paper cites Modular pluralism: P luralistic alignment via multi- LLM collaboration.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Modular pluralism: P luralistic alignment via multi- LLM collaboration

Reference 33

Resolution: verified exact; doi, observed 2026-05-10T21:10:46.678556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ef89091b-8cfa-4856-ae49-401735fcf09d · outbound

This paper cites Biased LLM s can Influence Political Decision-Making.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Biased LLM s can Influence Political Decision-Making

Reference 34

Resolution: verified exact; doi, observed 2026-05-10T21:10:46.683157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4694398b-6f0b-4fae-b5ba-a758e9371aef · outbound

This paper cites OpenAI seeks premium prices in early ads push.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest OpenAI seeks premium prices in early ads push

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.171945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9b9e9bc0-cfb1-4efb-b930-554b9b9dded2 · outbound

This paper cites arXiv preprint arXiv:2511.01805 , year=.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest arXiv preprint arXiv:2511.01805 , year=

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:26:02.352090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2a2e4f78-732b-4fbb-8de9-ad72d81672d0 · outbound

This paper cites Google launches self-service advertising program, October 2000.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Google launches self-service advertising program, October 2000

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.177061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 88fe6952-7ede-4b34-9fca-bb9017d1ffab · outbound

This paper cites an unresolved cited work.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-05-17T11:41:47.259270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f7ec2dc5-b412-4632-af42-a5aaa2135fa3 · outbound

This paper cites Logic and conversation.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Logic and conversation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.305016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3c150bbc-5457-4747-8caf-4c749f38ac5b · outbound

This paper cites Counterfactual reasoning for steerable pluralistic value alignment of large language models.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Counterfactual reasoning for steerable pluralistic value alignment of large language models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.179870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cfdcb646-4e4f-49f2-94c6-b324e93d0f70 · outbound

This paper cites Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:26:02.343889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d903cf3-313a-451d-b6ed-ad8e0d498944 · outbound

This paper cites The levers of political persuasion with conversational artificial intelligence.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest The levers of political persuasion with conversational artificial intelligence

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.169220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09c3dc58-cdc8-4daa-bfdf-78180b7c6c83 · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Measuring mathematical problem solving with the math dataset

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.163540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8afaa883-6f17-4821-8928-9af49fded61a · outbound

This paper cites The handbook of pragmatics.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest The handbook of pragmatics

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.166155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ef88d358-ada3-425f-ba2a-f94d33d53fb9 · outbound

This paper cites Conscience conflict? evaluating language models’ moral understanding.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Conscience conflict? evaluating language models’ moral understanding

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.183530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d12c0596-e3f3-4c8a-8854-e580fc46ce34 · outbound

This paper cites A fine-grained comparison of pragmatic language understanding in humans and language models.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest A fine-grained comparison of pragmatic language understanding in humans and language models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.160500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 717f5065-bc24-4e5e-94b9-6dc849db677a · outbound

This paper cites Quantifying the Persona Effect in LLM Simulations.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Quantifying the Persona Effect in LLM Simulations

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:26:02.175181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f90a3bc4-5f0d-4f4e-8fc6-a0a2a886c34c · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.152172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 982c90c5-f90d-48b1-b930-50de8378370e · outbound

This paper cites Collective constitutional ai: Aligning a language model with public input.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Collective constitutional ai: Aligning a language model with public input

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.157752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5255d80-05a2-4466-9053-94c9e1e19ef3 · outbound

This paper cites Moralbench: M oral evaluation of LLMs.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Moralbench: M oral evaluation of LLMs

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.140497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2fd02698-cc78-4e86-b99b-bfedcc9216fa · outbound

This paper cites Survey of hallucination in natural language generation.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Survey of hallucination in natural language generation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.146368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9125c935-0d89-4c7d-8823-ede5f7c5180a · outbound

This paper cites LLM ethics benchmark: A three-dimensional assessment system for evaluating moral reasoning in large language models.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest LLM ethics benchmark: A three-dimensional assessment system for evaluating moral reasoning in large language models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.155012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fbd79dfa-706e-4426-834e-8e97336809db · outbound

This paper cites The Ghost in the Machine has an American accent: value conflict in GPT-3.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest The Ghost in the Machine has an American accent: value conflict in GPT-3

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:26:02.204940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d184ba1b-a8be-4a5f-863d-2dd155580bfc · outbound

This paper cites Robustly Improving LLM Fairness in Realistic Settings via Interpretability.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Robustly Improving LLM Fairness in Realistic Settings via Interpretability

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.249650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ba76c888-2a62-4a0b-9b2c-46dad6f99941 · outbound

This paper cites Plurality of value pluralism and AI value alignment.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Plurality of value pluralism and AI value alignment

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.191279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 76915e54-11ab-42bb-a22e-06d52cbded93 · outbound

This paper cites Principles of pragmatics.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Principles of pragmatics

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.124025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9c38ffee-445c-4d68-96a4-1bdbcdf7d9c6 · outbound

This paper cites Pragmatics.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Pragmatics

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.134273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 59d2cf49-362d-4b3a-8a3c-d8ac70dd06f1 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.116802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 671a881d-cf7c-43ef-aaad-73a5184d40d8 · outbound

This paper cites Gradient-adaptive policy optimization: Towards multi-objective alignment of large language models.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Gradient-adaptive policy optimization: Towards multi-objective alignment of large language models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.135627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e88ee8f-7911-466d-a2f7-9f98e97dfaf4 · outbound

This paper cites Prefpalette: Personalized preference modeling with latent attributes.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Prefpalette: Personalized preference modeling with latent attributes

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.104635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8bf759e3-0ec0-44f8-9e27-c28bf29740f9 · outbound

This paper cites RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.231006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b38b574b-d31d-4e06-ad98-351078878d76 · outbound

This paper cites Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.289492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 22788766-420e-4933-b979-ad5ce5aebe14 · outbound

This paper cites Lifshitz and Roland Hung.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Lifshitz and Roland Hung

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.143156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ec265dd1-a76b-4948-9305-4a0024e43352 · outbound

This paper cites A controversial experiment on Reddit reveals the persuasive powers of AI.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest A controversial experiment on Reddit reveals the persuasive powers of AI

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.137524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4eed4513-6ab6-4b6c-81c7-c87c74d2a277 · outbound

This paper cites White, Adam J.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest White, Adam J

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.163897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 96bb8981-4637-48ed-8cf3-9b4950cc6036 · outbound

This paper cites The mitigators of ad irritation and avoidance of YouTube skippable in-stream ads: A n empirical study in T aiwan.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest The mitigators of ad irritation and avoidance of YouTube skippable in-stream ads: A n empirical study in T aiwan

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.127906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3efaa16b-16e7-438d-96a2-d578e1e5cb07 · outbound

This paper cites Evaluating Large Language Model Biases in Persona-Steered Generation.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Evaluating Large Language Model Biases in Persona-Steered Generation

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.322826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 37a59868-0674-4f67-9674-daa2db7c9186 · outbound

This paper cites Liu, A., Ghate, K., Diab, M., Fried, D., Kasirzadeh, A., and Kleiman-Weiner, M.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Liu, A., Ghate, K., Diab, M., Fried, D., Kasirzadeh, A., and Kleiman-Weiner, M

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:26:02.336501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c2de7a1f-d635-431e-a04f-c84a7e5e62f5 · outbound

This paper cites Improving Interpersonal Communication by Simulating Audiences with Language Models.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Improving Interpersonal Communication by Simulating Audiences with Language Models

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.310887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e39018de-7c4b-480c-a025-b13a54b64641 · outbound

This paper cites How do large language models navigate conflicts between honesty and helpfulness? In Proceedings of the 41st International Conference on Machine Learning, pp.\ 31844--31865, 2024 b.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest How do large language models navigate conflicts between honesty and helpfulness? In Proceedings of the 41st International Conference on Machine Learning, pp.\ 31844--31865, 2024 b

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.143791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 76c76250-4e46-4bda-9009-2b103fe1ea9c · outbound

This paper cites Cognitive models and AI algorithms provide templates for designing language agents.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Cognitive models and AI algorithms provide templates for designing language agents

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.274995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 42f6272b-973f-4e2a-8b42-123097d0b264 · outbound

This paper cites The prompt makes the person(a): A systematic evaluation of sociodemographic persona prompting for large language models.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest The prompt makes the person(a): A systematic evaluation of sociodemographic persona prompting for large language models

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.281655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation df08c10c-adfd-4bf7-a0a7-a0324a755784 · outbound

This paper cites Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.197531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d9e2fdbd-cd76-45b8-9db8-d017f618e5f1 · outbound

This paper cites On faithfulness and factuality in abstractive summarization.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest On faithfulness and factuality in abstractive summarization

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.149352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a59f8ced-8740-4a2f-8a80-744c2127cf8b · outbound

This paper cites Economic choices.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Economic choices

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.198153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e820b3a5-5505-414c-b8cc-fd9ecb2d9891 · outbound

This paper cites The effectiveness of nudging: A meta-analysis of choice architecture interventions across behavioral domains.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest The effectiveness of nudging: A meta-analysis of choice architecture interventions across behavioral domains

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.156440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 945763d2-2d92-490e-93fd-142d0462423f · outbound

This paper cites On the effectiveness and generalization of race representations for debiasing high-stakes decisions.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest On the effectiveness and generalization of race representations for debiasing high-stakes decisions

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.301301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 90e62b40-cb6d-4001-a34a-bd981cb0cc65 · outbound

This paper cites Griffiths.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Griffiths

Reference 78

Resolution: verified exact; doi, observed 2026-05-10T21:10:46.668206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8a3be69c-c48d-4a0a-a9be-66fb1f3e0249 · outbound

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

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Training language models to follow instructions with human feedback

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.167901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f803445d-a485-421d-a1db-3d9f02eca42c · outbound

This paper cites A game-theoretic account of implicature.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest A game-theoretic account of implicature

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.101997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46cbc04f-9da0-4fd6-b335-fd627e67a795 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Generative agents: Interactive simulacra of human behavior

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.079687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 432c534b-0f07-4896-bc56-c527e26fb8d9 · outbound

This paper cites Direct preference optimization: Y our language model is secretly a reward model.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Direct preference optimization: Y our language model is secretly a reward model

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.082613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 11fee2e8-1505-46be-acc4-73b2f5b7027d · outbound

This paper cites Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-05-11T07:26:02.168371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e4d1ba9f-1262-448e-87fe-efc7c106ba9e · outbound

This paper cites FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.239481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b614726-2510-4103-9512-16b47a04a7b1 · outbound

This paper cites On the conversational persuasiveness of gpt-4.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest On the conversational persuasiveness of gpt-4

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.076610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 40e463bc-1551-48f1-a721-5eb0dc2d5149 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Toolformer: Language models can teach themselves to use tools

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.070647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b3dc480b-43a8-4dd6-a095-6fb5d3d8b8cc · outbound

This paper cites Moral disagreement and the limits of ai value alignment: a dual challenge of epistemic justification and political legitimacy.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Moral disagreement and the limits of ai value alignment: a dual challenge of epistemic justification and political legitimacy

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.073783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 74ffce46-3216-44d4-9a9b-1e767f4ea212 · outbound

This paper cites Generative echo chamber? effect of llm-powered search systems on diverse information seeking.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Generative echo chamber? effect of llm-powered search systems on diverse information seeking

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.085607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e39429e-15e1-42ec-a144-8a97862f925c · outbound

This paper cites Our approach to advertising and expanding access to ChatGPT.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Our approach to advertising and expanding access to ChatGPT

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.098743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1f8c4d8b-6ec1-4b6c-994b-bdc1b6b0d492 · outbound

This paper cites OpenAI brings ads to ChatGPT as costs mount.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest OpenAI brings ads to ChatGPT as costs mount

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.120389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5013bc2d-6e3f-487d-8140-f71192987859 · outbound

This paper cites Position: a roadmap to pluralistic alignment.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Position: a roadmap to pluralistic alignment

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.055294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ababd9d7-3ae3-4302-a6fd-66340c5b13a6 · outbound

This paper cites Effects of llm-based search on decision making: Speed, accuracy, and overreliance.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Effects of llm-based search on decision making: Speed, accuracy, and overreliance

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.058406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d10ce6d1-2d1f-4d30-ab04-c5b6314670e0 · outbound

This paper cites The golden age of A merican radio.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest The golden age of A merican radio

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.064419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2b4b2e91-629d-43af-b8b7-a4e9d9c2064d · outbound

This paper cites Cognitive architectures for language agents.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Cognitive architectures for language agents

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.044368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f66635e-b3ad-4d6a-98c3-b437497d8bd0 · outbound

This paper cites Reconciling truthfulness and relevance as epistemic and decision-theoretic utility.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Reconciling truthfulness and relevance as epistemic and decision-theoretic utility

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.048454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f78dde79-ee84-44a3-9425-c3acbc212b84 · outbound

This paper cites Paying to remove advertisements.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Paying to remove advertisements

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.051965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 18d36d39-e958-4001-9e70-77ce3a24ab53 · outbound

This paper cites Evaluating and Mitigating Discrimination in Language Model Decisions.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Evaluating and Mitigating Discrimination in Language Model Decisions

Reference 97

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:26:02.258997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70680e7c-2a46-4cb4-9bfe-87917696d898 · outbound

This paper cites Daniel Freeman, Theodore R.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Daniel Freeman, Theodore R

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.067684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 632398b9-1e00-4afd-96d2-8c8caaaf5e73 · outbound

This paper cites Trade-offs in online advertising: A dvertising effectiveness and annoyance dynamics across the purchase funnel.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Trade-offs in online advertising: A dvertising effectiveness and annoyance dynamics across the purchase funnel

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.037464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 38d1d5d9-5d63-4a65-8130-ab6a72078b42 · outbound

This paper cites Introducing TripGenie : A ground-breaking AI travel assistant by Trip.com for unrivalled, personalised and intuitive travel planning and booking.

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Introducing TripGenie : A ground-breaking AI travel assistant by Trip.com for unrivalled, personalised and intuitive travel planning and booking

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:41:47.040910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation b6638845-186f-4263-840e-600b23ade097 · inbound

LLM Advertisement based on Neuron Auctions cites this paper.

LLM Advertisement based on Neuron Auctions Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-12T00:51:14.826564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 71372c88-2d57-4741-a57c-f4405b6cd586 · inbound

Just Ask for a Table: A Thirty-Token User Prompt Defeats Sponsored Recommendations in Twelve LLMs cites this paper.

Just Ask for a Table: A Thirty-Token User Prompt Defeats Sponsored Recommendations in Twelve LLMs Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T20:47:59.043337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 13f37a58-41d6-486e-b7af-033bcc6ddd0f · inbound

Generative AI Advertising as a Problem of Trustworthy Commercial Intervention cites this paper.

Generative AI Advertising as a Problem of Trustworthy Commercial Intervention Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T07:58:07.734150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.