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Paper Citation Record · LEDGER

Sentiment Simulation using Generative AI Agents

As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2505.22125.

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

pith.paper-citation-record.v1
2505.22125 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:20.811339Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

  • verified exact1
  • verified fuzzy48
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b6e4187b-0277-4419-b580-8782673c645d · outbound

This paper cites Opinion mining and sentiment analysis.

Sentiment Simulation using Generative AI Agents Opinion mining and sentiment analysis

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:31.660860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 64c232eb-ecac-4b6c-86d5-bd5bf22c68cc · outbound

This paper cites Sentiment analysis and opinion mining.

Sentiment Simulation using Generative AI Agents Sentiment analysis and opinion mining

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:31.483627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:13.983699Z digest=sha256:51cc8646f3940e57b06d47b5090cf9ebbbe59f5eafa3c75d0053d8a675f7caa2

Observation 512a8995-b302-4690-8a9e-d162bb769dd6 · outbound

This paper cites Sentiment analysis: Capturing favorability using natural language processing.

Sentiment Simulation using Generative AI Agents Sentiment analysis: Capturing favorability using natural language processing

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:31.282937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:14.154741Z digest=sha256:ee0556dc27c5b22eb8e68f832b8cc250441e5afdb80c75058cc9a1e9ec23d09a

Observation 0e603cb4-972d-4586-9ae7-f4a55e451c6a · outbound

This paper cites Mining the peanut gallery: Opinion extraction and semantic classification of product reviews.

Sentiment Simulation using Generative AI Agents Mining the peanut gallery: Opinion extraction and semantic classification of product reviews

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:31.059375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:14.272321Z digest=sha256:cf2e16fcf685f90d41ce58bc3145bdc2eec84f5b9fad3edbc6b2452998f072f7

Observation 4b5c0643-ded5-4c0b-9b6c-93effe372318 · outbound

This paper cites Opinion quality in public opinion research.

Sentiment Simulation using Generative AI Agents Opinion quality in public opinion research

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:30.828200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:14.355545Z digest=sha256:2cbd7038dcaaf40c807f779f966e2088f262a61ca377280befb80f4a014f8829

Observation 92b1b638-e77d-4196-9734-d06854829b27 · outbound

This paper cites Opinion mining and sentiment analysis in policy formulation initiatives: The eu-community approach.

Sentiment Simulation using Generative AI Agents Opinion mining and sentiment analysis in policy formulation initiatives: The eu-community approach

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:30.666488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:14.454635Z digest=sha256:88fd95dab616a4ffc691272073e4bcc8e98d4dba4bdad4f5adb1e5ed265cb1b4

Observation ae2348a6-add2-411c-b543-c5a4e97dd1b5 · outbound

This paper cites Sentiment analysis of the new indonesian government policy (omnibus law) on social media twitter.

Sentiment Simulation using Generative AI Agents Sentiment analysis of the new indonesian government policy (omnibus law) on social media twitter

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:30.491527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:14.606132Z digest=sha256:7b1d8a07f44bf649e42a6029bd3fa2c513645dcc0143c2e7b948378966cc7da7

Observation ddb640a4-65c2-4c85-ae92-eb86801758f2 · outbound

This paper cites Fables: framework for autonomous behaviour-rich language- driven emotion-enabled synthetic populations.

Sentiment Simulation using Generative AI Agents Fables: framework for autonomous behaviour-rich language- driven emotion-enabled synthetic populations

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:30.359097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:14.729884Z digest=sha256:123204e65891560dfffc77ae3d788f941399f972367c27faeb42d19be8277f69

Observation 2f675bc1-5f2b-45b2-830a-10ab1baeed07 · outbound

This paper cites Like, comment, and share: Analyzing public sentiments of government policies in social media.

Sentiment Simulation using Generative AI Agents Like, comment, and share: Analyzing public sentiments of government policies in social media

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:30.255593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:14.865814Z digest=sha256:acd9bf6f5fdaf48ec1782ae3c77c26f8a5df9dc54fff70a2e25255ab78444778

Observation 6ecec016-c998-4b94-8ff5-a7da66a4bda3 · outbound

This paper cites Sentiment analysis of facebook users reacting to political campaign posts.

Sentiment Simulation using Generative AI Agents Sentiment analysis of facebook users reacting to political campaign posts

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:30.106280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:14.989297Z digest=sha256:aad565718014451b24607d9f2a80209be0aeb867f64200e3e6215e519d179fd7

Observation 7d79ef99-7131-4bc9-9767-a8971aa5545f · outbound

This paper cites It is not only what you say, it is also how you say it: The strategic use of campaign sentiment.

Sentiment Simulation using Generative AI Agents It is not only what you say, it is also how you say it: The strategic use of campaign sentiment

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:29.900413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:15.095070Z digest=sha256:9f65763ff22c84d0a4d82a9ded1aa76c9c1640828c8725afa44858b25814ca6e

Observation 781d2e99-4164-4983-854c-a1eb3ce9d884 · outbound

This paper cites Exploring philippine presidentsâ C™ speeches: A sentiment analysis and topic modeling approach.

Sentiment Simulation using Generative AI Agents Exploring philippine presidentsâ C™ speeches: A sentiment analysis and topic modeling approach

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:29.652423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:15.202968Z digest=sha256:029b9fb37740d5b05510ee20f142a4a2d4848a2fc8dfca54c51f0114fe2ed359

Observation 81178be6-5eb6-440d-89ba-551a34f47801 · outbound

This paper cites Sentiment analysis: A case study among the selected government agencies in the philippines.

Sentiment Simulation using Generative AI Agents Sentiment analysis: A case study among the selected government agencies in the philippines

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:29.459567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:15.332041Z digest=sha256:587e93ac025e229ee2d47e80dfc151d5f05f3db42dad5f82891f51d0fa533ecb

Observation bbe8741a-9a82-44dd-9c56-367d9cdf05e9 · outbound

This paper cites Pre-and post-launch emotions in new product development: Insights from twitter analytics of three products.

Sentiment Simulation using Generative AI Agents Pre-and post-launch emotions in new product development: Insights from twitter analytics of three products

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:29.224494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:15.410115Z digest=sha256:3debe6750278233aba55fff0b3cafa3dbb467ead8173ee9abddf63dcc699f8e1

Observation 7871ed80-2673-447d-8a05-8327787b090b · outbound

This paper cites Social media and sensemaking patterns in new product development: demystifying the customer sentiment.

Sentiment Simulation using Generative AI Agents Social media and sensemaking patterns in new product development: demystifying the customer sentiment

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:29.130051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:15.541416Z digest=sha256:b766696c20bf43ca31e60380136bbb1f0cd7a6a4c90417c80dbf44abfb0e3782

Observation 1a8b4279-21ed-4b97-966b-4a418680bc38 · outbound

This paper cites Exploring sentiment analysis on e-commerce business: Lazada and shopee.

Sentiment Simulation using Generative AI Agents Exploring sentiment analysis on e-commerce business: Lazada and shopee

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:28.861763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:15.646423Z digest=sha256:ae7d7bd96f60737a6edd975e61d35cd7c5c62e12a26aaef5bdf7726e21e79fb1

Observation 1f0a6801-ed2c-4600-940a-2922470501eb · outbound

This paper cites A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews.

Sentiment Simulation using Generative AI Agents A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:28.654509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:15.713781Z digest=sha256:ae531d670a226dc4c68edaf5fe59f17f5e33540b5aaaf87174930cc021fba011

Observation 71c4c87f-f1f6-4316-98c1-ab1594c2969e · outbound

This paper cites Sentiment analysis of product reviews using machine learning and pre-trained llm.

Sentiment Simulation using Generative AI Agents Sentiment analysis of product reviews using machine learning and pre-trained llm

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:28.464602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:15.843987Z digest=sha256:064cdb6d94d47d6824b648bcfd0c43ab7cfba34ec4ede531b4a2680069d4edb9

Observation 5603f3e4-dcad-4111-ac3f-918dba9ef3c6 · outbound

This paper cites Sentiment analysis in the age of generative ai.

Sentiment Simulation using Generative AI Agents Sentiment analysis in the age of generative ai

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:28.293770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:15.968774Z digest=sha256:c36cceb70f5431bc97221bf370a8ae8f675de62fa06312d44442e585b00a8454

Observation 04c928ee-c63a-4051-b170-58594b033d9f · outbound

This paper cites Sentiment analysis methods, applications, and challenges: A systematic literature review.

Sentiment Simulation using Generative AI Agents Sentiment analysis methods, applications, and challenges: A systematic literature review

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:28.023249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:16.007009Z digest=sha256:c860cec6b043f0ffcffac4d939916797282ef63b2fc4e6ecefb306fb3b1b4e97

Observation 5d9b0747-5268-4ad7-bdbe-d7dcdf9c14a8 · outbound

This paper cites Recent advancements and challenges of nlp-based sentiment analysis: A state-of-the-art review.

Sentiment Simulation using Generative AI Agents Recent advancements and challenges of nlp-based sentiment analysis: A state-of-the-art review

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:27.719620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:16.097854Z digest=sha256:994394b7f0d623bd9cd481277437f4fd08fe10b5d24fe1be37daf21055b6c31e

Observation ccb27f8f-4476-4d3e-9146-865ac4e9454c · outbound

This paper cites Identifying Biased Users in Online Social Networks to Enhance the Accuracy of Sentiment Analysis: A User Behavior-Based Approach.

Sentiment Simulation using Generative AI Agents Identifying Biased Users in Online Social Networks to Enhance the Accuracy of Sentiment Analysis: A User Behavior-Based Approach

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:20:21.034028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:16.225120Z digest=sha256:b22abc2d5c9c54892c8b4e4c13b69aaf3c8676c0c4b8ed26021f018277bb53b6

Observation 72c4d996-43d4-49dd-b4ed-1469c6c471e4 · outbound

This paper cites Personality-based refinement for sentiment classification in microblog.

Sentiment Simulation using Generative AI Agents Personality-based refinement for sentiment classification in microblog

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:27.547425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:16.407190Z digest=sha256:ba7c2593d690c301c702d5f6e1e48b3b32a9ea337a5f07eb0842018cf4f39ffd

Observation 151d6b3d-cf3d-42c5-8fb8-260f209cff3f · outbound

This paper cites Personality associations with attitudes toward ai.

Sentiment Simulation using Generative AI Agents Personality associations with attitudes toward ai

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:27.355527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:16.505341Z digest=sha256:61d3433e844a8dcd18435161f5030f0695c01b6ac142773a651d3b43977ff82a

Observation 1a992fdf-3a5d-482c-b162-30158e16a7ce · outbound

This paper cites Beyond weird: Can synthetic survey participants substitute for humans in global policy research? Behavioral Science & Policy, page 23794607241311793, 2025.

Sentiment Simulation using Generative AI Agents Beyond weird: Can synthetic survey participants substitute for humans in global policy research? Behavioral Science & Policy, page 23794607241311793, 2025

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:27.103026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:16.673398Z digest=sha256:a31277ce02342790e0d5a173cbc967626c057555428e59806ec5a95b2c7b3d51

Observation 6e739cd7-04a6-43ea-ba37-d07c020e0260 · outbound

This paper cites The emergence of social media data and sentiment analysis in election prediction.

Sentiment Simulation using Generative AI Agents The emergence of social media data and sentiment analysis in election prediction

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:26.876294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:16.761260Z digest=sha256:e3bc5b87463f2c39abeca8a36bdbff9808570dc00038479e31d02ea500090b19

Observation 113820d8-88bd-4bf8-9964-db0deb302b86 · outbound

This paper cites Improving sentiment analysis in election-based conversations on twitter with elecbert language model.

Sentiment Simulation using Generative AI Agents Improving sentiment analysis in election-based conversations on twitter with elecbert language model

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:26.601402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:16.839349Z digest=sha256:051ac2b74622b445c86d8d674187486a61cbf13f2852726f75f2df65b122d6c4

Observation 07e78108-c2b8-4a93-8b8f-7f858451634c · outbound

This paper cites Situated cognition.

Sentiment Simulation using Generative AI Agents Situated cognition

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:26.356696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:16.933641Z digest=sha256:b95be48fd665ec3a59ffc96989e38c34c6bfabc28168f6ae30144e08677f8203

Observation dd201d5a-2011-4322-9d22-cd25b422e82b · outbound

This paper cites EBook: Social Psychology 3e.

Sentiment Simulation using Generative AI Agents EBook: Social Psychology 3e

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:26.133937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:17.164276Z digest=sha256:478e62bea12ac4346d44b1de9a4d1fc3095c9be28d8471901ff3e70d512a83b8

Observation 5ea458f6-c0c3-477c-a9a0-d778cf8137f9 · outbound

This paper cites Reflections on sentiment/opinion analysis.

Sentiment Simulation using Generative AI Agents Reflections on sentiment/opinion analysis

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:25.828179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:17.246185Z digest=sha256:63fed2d42e7c68a6d952c2d2f3bd779a5bd92225d6e9f3fc5bb9e6568a384a4d

Observation a4f7cfe8-33bc-4589-8cfa-4367283fad16 · outbound

This paper cites Can large language model agents simulate human trust behavior? In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024.

Sentiment Simulation using Generative AI Agents Can large language model agents simulate human trust behavior? In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:17.363418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:17.363418Z digest=sha256:927b613a37cdd881ded49769cbf80f3f22f689cfff9b2ad0a9a581667c330e4f

Observation e4e6aee6-4ee8-4a7e-9528-d3e7808bcbb0 · outbound

This paper cites Using large language models to simulate multiple humans and replicate human subject studies.

Sentiment Simulation using Generative AI Agents Using large language models to simulate multiple humans and replicate human subject studies

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:17.460544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:17.460544Z digest=sha256:950422b03c8d3517a76b962c134dee052f5faa46dc46b7a095a0d2db22402c70

Observation 0229bb8c-8b83-4284-a373-71ea9e7b41fd · outbound

This paper cites Llm-driven agents for influencer selection in digital advertising campaigns.

Sentiment Simulation using Generative AI Agents Llm-driven agents for influencer selection in digital advertising campaigns

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:25.650268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:17.533608Z digest=sha256:e040e89367515ea303118585eaa0fe3c44f167550d353866ee517e570fd62104

Observation 5be9bb29-e49b-4ebc-abda-1a9811b56e71 · outbound

This paper cites LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.

Sentiment Simulation using Generative AI Agents LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:17.616079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:17.616079Z digest=sha256:f66235eaec247564e4821e0587b63964f3df75b3526749c508febac7cbaded74

Observation 0e130061-cd42-4bf4-8570-f60e23e3bb61 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

Sentiment Simulation using Generative AI Agents Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:17.770632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:17.770632Z digest=sha256:eb551d208633c351e9cbc0e73d7c16204b8d0f751284dbe556c4ed9c10555480

Observation ba3698eb-c20f-4027-a0d0-237374253c86 · outbound

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

Sentiment Simulation using Generative AI Agents Generative agents: Interactive simulacra of human behavior

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:17.926814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:17.926814Z digest=sha256:76b2e5e445cc46873866902d605774b7237bddbc58eeec6d360f7ee107b4e453

Observation fd04221b-aea3-4eda-afc7-4f1d81bb18d6 · outbound

This paper cites User Behavior Simulation with Large Language Model based Agents.

Sentiment Simulation using Generative AI Agents User Behavior Simulation with Large Language Model based Agents

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:18.007535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:18.007535Z digest=sha256:8292306d1bda2433a23eebad57f25cd7ef9811c33c79a107a29fe1466f2f53ae

Observation 99d179cd-a5d4-4676-a29b-9a0a3675db7f · outbound

This paper cites Evaluating the ability of large language models to emulate personality.

Sentiment Simulation using Generative AI Agents Evaluating the ability of large language models to emulate personality

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:25.418654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:18.119717Z digest=sha256:6671d0d5427369098983bd3f306dcf0962a72cc7b6e6c5b67f1a8a58fffc5063

Observation cc202c10-ab27-461d-a3e3-6e5031b5bf59 · outbound

This paper cites Personality.

Sentiment Simulation using Generative AI Agents Personality

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:25.160400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:18.267022Z digest=sha256:0d5fe7304ebb7f785f619da69fdf4c1313a1d973abea220c022438527ce99276

Observation 5c644144-57b7-477d-a434-791aa7bb7f4c · outbound

This paper cites Changing personal values through value-manipulation tasks: a systematic literature review based on schwartzâC™s theory of basic human values.

Sentiment Simulation using Generative AI Agents Changing personal values through value-manipulation tasks: a systematic literature review based on schwartzâC™s theory of basic human values

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:24.987520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:18.405802Z digest=sha256:21708b2a4fd085d3295141aaf8377373fc79364e63fad0244199c00337e9079f

Observation 8142e509-5a1f-4f59-b338-c3dbaa9bd062 · outbound

This paper cites Social axioms and psychological toll: A study of emotional, behavioral, and cognitive responses across 35 cultures during the covid-19 pandemic.

Sentiment Simulation using Generative AI Agents Social axioms and psychological toll: A study of emotional, behavioral, and cognitive responses across 35 cultures during the covid-19 pandemic

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:24.821276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:18.565523Z digest=sha256:6a5eeaf8b5273366441efffa991a4d2124318671d5f4c6a1a4eae0bcac2f4697

Observation 69edf4e8-a539-41ca-8e6a-2553f35d2d00 · outbound

This paper cites Ulat ng bayan: June 2024 nationwide survey on national concerns prior to the sona.

Sentiment Simulation using Generative AI Agents Ulat ng bayan: June 2024 nationwide survey on national concerns prior to the sona

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:24.562529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:18.783251Z digest=sha256:a75c2d94ebb8f7804846551da8f28a2289e330c5d8243b606cf57d86fe540ac8

Observation 83173576-bc78-4fe9-859b-4f9dc0be38d9 · outbound

This paper cites Filipino personality structure and the big five model: A lexical approach.

Sentiment Simulation using Generative AI Agents Filipino personality structure and the big five model: A lexical approach

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:24.319505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:18.956622Z digest=sha256:9550b1a5db62950aa5e96bd261b5135b6af7297e2cac1b0e3aa6563a0e9b3ef7

Observation e683379c-4739-4dd8-9585-93b7b7663c70 · outbound

This paper cites The development of the masaklaw na panukat ng loob (mapa ng loob).

Sentiment Simulation using Generative AI Agents The development of the masaklaw na panukat ng loob (mapa ng loob)

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:24.062499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:19.154492Z digest=sha256:6b8c7b07b4ff573e6caa40e74f4fa629859ab8860a808fa0126844739a61b260

Observation 9d0177d9-61f0-4c6e-9ee0-370b98754188 · outbound

This paper cites Personality disorders and the five-factor model among filipino non-clinical sample.

Sentiment Simulation using Generative AI Agents Personality disorders and the five-factor model among filipino non-clinical sample

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:23.863639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:19.324894Z digest=sha256:c7d436df95b96d0aa364aa5fab0ebc379ec75fef9e6e8ffbd30c03ad4ad09619

Observation 50061c48-e458-4829-9b08-b5ca875bb440 · outbound

This paper cites Measuring political bias and framing effects in large language models (llms): A sensitivity analysis.

Sentiment Simulation using Generative AI Agents Measuring political bias and framing effects in large language models (llms): A sensitivity analysis

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:23.164042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:19.431307Z digest=sha256:70d80535c81d7332587b7926ac694ed57e4409cc67019374356c509fa50e7184

Observation 5ba65924-3062-4400-b0fe-5cd983705e06 · outbound

This paper cites The Llama 3 Herd of Models.

Sentiment Simulation using Generative AI Agents The Llama 3 Herd of Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:19.552878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:19.552878Z digest=sha256:2bf563481847332dfa3afaf574552bb13338d517bab07f409316dd1b85769323

Observation aab21337-e572-4090-ad6a-c56bea6a23f1 · outbound

This paper cites A common language effect size statistic.

Sentiment Simulation using Generative AI Agents A common language effect size statistic

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:22.795141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:19.726347Z digest=sha256:06a871f04ec9b51b327625567b78dddf897dd74bac5d80e584f25d980169506c

Observation 8e1bff75-a0ae-4e03-9ecf-5494ea339156 · outbound

This paper cites Llm-mirror: A generated-persona approach for survey pre-testing.

Sentiment Simulation using Generative AI Agents Llm-mirror: A generated-persona approach for survey pre-testing

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:22.650126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:19.845487Z digest=sha256:4de7809d6512b4f02cd24308fd1eedeb516b7b02ce527630c9164eabadf64744

Observation ade82463-0716-4978-8f98-3472f0ddb611 · outbound

This paper cites Using Large Language Models to Create AI Personas for Replication, Generalization and Prediction of Media Effects: An Empirical Test of 133 Published Experimental Research Findings.

Sentiment Simulation using Generative AI Agents Using Large Language Models to Create AI Personas for Replication, Generalization and Prediction of Media Effects: An Empirical Test of 133 Published Experimental Research Findings

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:19.984314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:19.984314Z digest=sha256:0a066fc9f168cd08941eee6055bb0cd428fef5d992f19f8b970d1b11ba92e08e

Observation b61c70e7-1acc-42a2-8673-b5bf68116193 · outbound

This paper cites Lab experiments are a major source of knowledge in the social sciences.

Sentiment Simulation using Generative AI Agents Lab experiments are a major source of knowledge in the social sciences

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:22.507793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:20.100485Z digest=sha256:6c1d36cf26ef06adce5b008616649008de734f421c16a6468bb2017132ec9f01

Observation 2b7717f5-ab02-46c3-9bad-0cdcf7d97a6f · outbound

This paper cites Life in the network: the coming age of computational social science.

Sentiment Simulation using Generative AI Agents Life in the network: the coming age of computational social science

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:22.349700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:20.256467Z digest=sha256:66f29740916ba6dc114dc17252c89b76172576adc6b5211097e5f7fe71c19ae4

Observation 8538aee9-fa00-42ac-8909-1ad230b33f68 · outbound

This paper cites Choices, values, and frames.

Sentiment Simulation using Generative AI Agents Choices, values, and frames

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:22.212283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:20.373966Z digest=sha256:650aa454f97ea5ded8bb14bf8c24eca03ce5c41a9d774d6aa785daab369f14e6

Observation ab0dbf2b-1127-4b2d-b925-c98f03a4e4db · outbound

This paper cites Framing theory.

Sentiment Simulation using Generative AI Agents Framing theory

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:22.022333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:20.470503Z digest=sha256:5844811de1322a2393bf4844ab3be7c472c8ee465fc3758c39f1fd5a23621bfc

Observation eb5f3f23-be12-4aaf-80dc-0a841ff344da · outbound

This paper cites The structure of political argument and the logic of issue framing.

Sentiment Simulation using Generative AI Agents The structure of political argument and the logic of issue framing

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:21.790985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:20.618982Z digest=sha256:47605ba5df2b936a7c1f283bdbb1956b69c500587eb3453dc236bb22a7aa07ef

Observation 442afd71-d039-4569-8d2f-250515711bac · outbound

This paper cites Personality trait structure as a human universal.

Sentiment Simulation using Generative AI Agents Personality trait structure as a human universal

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:21.544442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:20.723378Z digest=sha256:ca9996964941e6da2daf53735a23596c1553e1a0c8ab921472aa16fa58bdf023

Observation 8b196e39-f3be-436c-abf4-1db814dd4785 · outbound

This paper cites 2022 registered voters and voters with accessible polling places (final).

Sentiment Simulation using Generative AI Agents 2022 registered voters and voters with accessible polling places (final)

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:20:21.312851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:20:20.811339Z digest=sha256:4546f49790ec1c5a46afea3a3ab7d4874b97268867c9a85078bb22eb74f5041a

Pith citing papers

No inbound Pith citation observations are available.