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Paper Citation Record · LEDGER

LLM-Based Social Simulations Require a Boundary

As of 16 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 5 inbound Pith citation observations for arXiv:2506.19806.

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

pith.paper-citation-record.v1
2506.19806 v3

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:28:06.316101Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:14:16.034455Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:28:31.200987Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact5
  • verified fuzzy16
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79fe8db4-9c37-48ac-969d-6b263f55a291 · outbound

This paper cites Research Question Type and Heterogeneity Requirement Our classification draws on established frameworks in computational social science and ABM literature.

LLM-Based Social Simulations Require a Boundary Research Question Type and Heterogeneity Requirement Our classification draws on established frameworks in computational social science and ABM literature

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.411405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.306411Z digest=sha256:ba95bd73933c9b73d54e0a4fadb279fcf7fbb043b0540424ccd67dcb68a46441

Observation c6a3bdfb-3706-41fd-99b6-df6f5f0e1178 · outbound

This paper cites Mapping and Influencing the Political Ideology of Large Language Models using Synthetic Personas.

LLM-Based Social Simulations Require a Boundary Mapping and Influencing the Political Ideology of Large Language Models using Synthetic Personas

Reference 3

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source=pdf_text observed=2026-08-15T18:28:05.991885Z digest=sha256:e0c24b8613e3abe8eeac46fa5b6d229988cbcd85bea7d884956f86d6c47c6bea

Observation 9c6e20e8-9fb3-41c2-88ca-d56c706c97b2 · outbound

This paper cites T., Wu, J., and Liu, Z.

LLM-Based Social Simulations Require a Boundary T., Wu, J., and Liu, Z

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.643508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.007660Z digest=sha256:13e3f2f6a6b3cfd1ed56f2efc7d2e6f2560fa040959ba1a4abbb8993b3dc8858

Observation 18fc83e5-00f8-42a2-aa1d-e74786c57920 · outbound

This paper cites Compost: Charac- terizing and evaluating caricature in llm simulations.

LLM-Based Social Simulations Require a Boundary Compost: Charac- terizing and evaluating caricature in llm simulations

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.626950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.012773Z digest=sha256:16661bce78d445755d52159e96a3ad78fb75f9eb7c36a67a26a5363cc8fab463

Observation 6415a997-cb52-4e7f-bdd1-6529f0824624 · outbound

This paper cites Simulating opinion dynamics with networks of llm-based agents.

LLM-Based Social Simulations Require a Boundary Simulating opinion dynamics with networks of llm-based agents

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.609301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.023448Z digest=sha256:2a42a37b6785ecaa975d48ab312f5bcc4634b76304d87ecabad1312c491b637d

Observation a4d90e46-0ee3-40f3-af1f-4f7df6f63fe7 · outbound

This paper cites Behavioral and Topological Heterogeneities in Network Versions of Schelling's Segregation Model.

LLM-Based Social Simulations Require a Boundary Behavioral and Topological Heterogeneities in Network Versions of Schelling's Segregation Model

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:28:07.248027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.034993Z digest=sha256:3737d5e5289726c6160725631a0247d8913bf89a876d74f17287645c2d3e3946

Observation 736a98ab-e890-4626-b762-c00f659f5682 · outbound

This paper cites Nicer Than Humans: How do Large Language Models Behave in the Prisoner's Dilemma?.

LLM-Based Social Simulations Require a Boundary Nicer Than Humans: How do Large Language Models Behave in the Prisoner's Dilemma?

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:06.039728Z digest=sha256:91c304ba4d52592b8e568b5aaa4b2e8b27c86332a3b3ba1d9da8d622943e3967

Observation 62c98492-bcbf-4911-8668-b5c99f9dcd20 · outbound

This paper cites Strategic Reasoning with Language Models.

LLM-Based Social Simulations Require a Boundary Strategic Reasoning with Language Models

Reference 16

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source=pdf_text observed=2026-08-15T18:28:06.060926Z digest=sha256:3cc7ff2d3ef8466116de95735bb3958d02e78a060ea9b636c966892b6ed1c647

Observation 42a61ee0-f633-4e2e-878d-215cb35466b6 · outbound

This paper cites S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents.

LLM-Based Social Simulations Require a Boundary S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents

Reference 17

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source=pdf_text observed=2026-08-15T18:28:06.065658Z digest=sha256:0e9380b13ddcae1e19bf3f3f2a2adeae838cf8b1993c188faccf92ac4a00efe5

Observation 4e9023c2-1348-4089-b273-6bc86c4ab16c · outbound

This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

LLM-Based Social Simulations Require a Boundary Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 18

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:28:06.071851Z digest=sha256:74f1018d013be3344d9c1947177084f9f37571d3912dc8b995aa205d1d38cbb1

Observation afe2cd0c-c287-4b26-8ef7-80f8c5b6864c · outbound

This paper cites and Toubia, O.

LLM-Based Social Simulations Require a Boundary and Toubia, O

Reference 19

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source=pdf_text observed=2026-08-15T18:28:06.077210Z digest=sha256:7f43c9936d9df854195eaa42479a4bb8dd4b5943ab1450c628ada5673f59e236

Observation 47c818b3-73f0-4c6d-92ac-34047e300073 · outbound

This paper cites Can Large Language Models Play Games? A Case Study of A Self-Play Approach.

LLM-Based Social Simulations Require a Boundary Can Large Language Models Play Games? A Case Study of A Self-Play Approach

Reference 20

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source=pdf_text observed=2026-08-15T18:28:06.082067Z digest=sha256:4e6f8d730c26761cef787df509171226b8f4e0d31baeb033f950c67f12a03501

Observation a3409f2c-aa61-4d43-b17a-6434ccc6e0eb · outbound

This paper cites "Guinea Pig Trials" Utilizing GPT: A Novel Smart Agent-Based Modeling Approach for Studying Firm Competition and Collusion.

LLM-Based Social Simulations Require a Boundary "Guinea Pig Trials" Utilizing GPT: A Novel Smart Agent-Based Modeling Approach for Studying Firm Competition and Collusion

Reference 21

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source=pdf_text observed=2026-08-15T18:28:06.087703Z digest=sha256:55adb9d43d9d8cc2930b6ce7b54160c465a26f03d6b1a35bec30e932c6c7da72

Observation c84a1927-29a1-4dcb-913a-829dcad9ee31 · outbound

This paper cites M., Antunes, L., Pav´on Mestras, J., et al.

LLM-Based Social Simulations Require a Boundary M., Antunes, L., Pav´on Mestras, J., et al

Reference 22

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raw_fallback, observed 2026-08-15T18:28:07.561210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.092953Z digest=sha256:6ca6827a5802bebc16beb8634c9eef9a2f11a17639aebd236cfaea4359b2d526

Observation ce1f4842-33b9-43aa-9e26-64ebb3595271 · outbound

This paper cites J., and Xie, X.

LLM-Based Social Simulations Require a Boundary J., and Xie, X

Reference 23

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source=pdf_text observed=2026-08-15T18:28:06.097699Z digest=sha256:6cbe79e699f197f0ef9f07c85f8f790ced93faace9afb1989111805eb971afa8

Observation 3375fff5-f06b-431b-a8e1-0eb22600fe82 · outbound

This paper cites War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.

LLM-Based Social Simulations Require a Boundary War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Reference 25

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source=pdf_text observed=2026-08-15T18:28:06.108295Z digest=sha256:f317a8d45fb089166065436f05d0e0cd29dc07612121a7aa74cfb6c2a2453be9

Observation 9298555a-2767-46ca-bff6-991c86f93898 · outbound

This paper cites Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?.

LLM-Based Social Simulations Require a Boundary Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?

Reference 26

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source=pdf_text observed=2026-08-15T18:28:06.113517Z digest=sha256:8014f7142d3bb98bb1686202a407a969dc234d6a1c34b11df9daba0c31d893d1

Observation 1fc59fde-211b-4da6-84ce-1d63fae110e4 · outbound

This paper cites Understanding llm agent behaviours via game theory: Strategy recognition, biases and multi-agent dynamics.arXiv preprint arXiv:2512.07462,.

LLM-Based Social Simulations Require a Boundary Understanding llm agent behaviours via game theory: Strategy recognition, biases and multi-agent dynamics.arXiv preprint arXiv:2512.07462,

Reference 27

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source=pdf_text observed=2026-08-15T18:28:06.118411Z digest=sha256:623ec67e14ba565dfc4386ed427b9a2d19ba6f6eb7d52b7dbc0c240d2802946d

Observation a033d7cf-2317-4f31-94fd-fa4899ce531a · outbound

This paper cites Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulations.

LLM-Based Social Simulations Require a Boundary Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulations

Reference 29

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source=pdf_text observed=2026-08-15T18:28:06.128635Z digest=sha256:d373e5f1b4246d14484440e62a470de2d8344722d2251e9e98c885865b371a2d

Observation db79595e-bbaa-4a5f-bc34-18e5288f34b3 · outbound

This paper cites LLM Generated Persona is a Promise with a Catch.

LLM-Based Social Simulations Require a Boundary LLM Generated Persona is a Promise with a Catch

Reference 30

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no resolver link, observed 2026-08-15T18:28:06.133570Z

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source=pdf_text observed=2026-08-15T18:28:06.133570Z digest=sha256:5f2a0b0b5271d518f4a371a11c9f09b61f9b56f3d2ca2d636eb7630da570c7a4

Observation 6eaf20f2-7edb-42ad-99f6-8b23d0ddec83 · outbound

This paper cites DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity.

LLM-Based Social Simulations Require a Boundary DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity

Reference 31

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verified exact
local_arxiv, observed 2026-08-15T18:28:06.787004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.138347Z digest=sha256:1bd6b828091d702ebbf57d10346b214c888f89a0b52eaf6b4c2bb08d6c41336e

Observation 40b5c110-e9b2-44ff-b807-9a5f81b002e0 · outbound

This paper cites From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News.

LLM-Based Social Simulations Require a Boundary From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News

Reference 32

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source=pdf_text observed=2026-08-15T18:28:06.143419Z digest=sha256:91da756ae76237499c5c6e6855324eb0219cb3d23da30eabb9403375433f69c8

Observation 6be49a59-fb20-4ce4-810c-b0954d02cfaf · outbound

This paper cites How does the heterogeneity of members affect the evolution of group opinions?Discrete Dynamics in Nature and Society, 2021(1):8827048,.

LLM-Based Social Simulations Require a Boundary How does the heterogeneity of members affect the evolution of group opinions?Discrete Dynamics in Nature and Society, 2021(1):8827048,

Reference 33

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raw_fallback, observed 2026-08-15T18:28:07.528185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.149446Z digest=sha256:621f63e0e9f8ca603de8349fff7b205366ad63e55e32664d4badc6c62ae82f9e

Observation e005e5e6-e729-475d-96ad-549b21c60bb1 · outbound

This paper cites Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective.

LLM-Based Social Simulations Require a Boundary Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective

Reference 35

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source=pdf_text observed=2026-08-15T18:28:06.158449Z digest=sha256:b87837524effe9ce1e23736cf8f6eb5f90191b56790da5e08ac9f938aac2ce4f

Observation 1cb8e301-bc0f-483c-bdc6-b2290cd9a4cf · outbound

This paper cites Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives.

LLM-Based Social Simulations Require a Boundary Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives

Reference 36

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local_arxiv, observed 2026-08-15T18:28:06.707899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.163009Z digest=sha256:cffea7b75bf8184e8d5d3e9ac6a1819b08e2c3621e8819c6aae4ef391c440162

Observation 8d23d82e-9f0c-4815-b7ea-b2da8d6e0a8a · outbound

This paper cites Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models.

LLM-Based Social Simulations Require a Boundary Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models

Reference 37

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source=pdf_text observed=2026-08-15T18:28:06.167928Z digest=sha256:3d976e6a264859acb0082bc71924c70c38923fa283bc08edf384ff7c83fb5ed0

Observation 3c349da7-7df8-4c67-85dc-5e9b7bf2c924 · outbound

This paper cites On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena.

LLM-Based Social Simulations Require a Boundary On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena

Reference 40

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source=pdf_text observed=2026-08-15T18:28:06.182840Z digest=sha256:debe03dd7f873b3d9f5212d29724dcb4677cc36d0ccf29e01a4b168ed3d59e54

Observation b74c46c8-54a9-40ec-9d5c-9acd7ad7b75a · outbound

This paper cites Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions.

LLM-Based Social Simulations Require a Boundary Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions

Reference 41

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source=pdf_text observed=2026-08-15T18:28:06.188249Z digest=sha256:fb8e988b3b26cdf35a87fb4b197638aac3bdccda4f6c24ee8c7896bb2796b50b

Observation b36091dd-9a46-43e9-8395-8a2e516ba2e9 · outbound

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

LLM-Based Social Simulations Require a Boundary LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 42

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source=pdf_text observed=2026-08-15T18:28:06.194359Z digest=sha256:c8f40f01c782313a50a782c61ffde885d2656edfa735282ca5a12170dd1b0927

Observation 9f9960ad-bddf-4585-a4f0-30f4373290d4 · outbound

This paper cites Rethinking Interpretability in the Era of Large Language Models.

LLM-Based Social Simulations Require a Boundary Rethinking Interpretability in the Era of Large Language Models

Reference 45

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source=pdf_text observed=2026-08-15T18:28:06.212006Z digest=sha256:cb8dd7ead3f966161d14fe9d23f437572027b2063600d6d5500a2c2219f1ce54

Observation dce03b8b-7093-4eb5-806b-946ac2c54764 · outbound

This paper cites Multiagent Simulators for Social Networks.

LLM-Based Social Simulations Require a Boundary Multiagent Simulators for Social Networks

Reference 46

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T18:28:06.538848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.217645Z digest=sha256:2579782d38cffa0482ea35d59f99ca5b4dcd2cbd1f8f9664d3b682df62ab6f10

Observation 924aa344-1041-4836-8499-1286c303ae92 · outbound

This paper cites Gensim: A general social simulation platform with large language model based agents.

LLM-Based Social Simulations Require a Boundary Gensim: A general social simulation platform with large language model based agents

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.512329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.223699Z digest=sha256:9f698044fb21f38933849a064f60ea7c92b4e6ee5e5b2c9d7ead32148da466e9

Observation f67250ae-af1d-4943-9aad-4e7f05c4885f · outbound

This paper cites Systematic biases in llm simulations of debates.

LLM-Based Social Simulations Require a Boundary Systematic biases in llm simulations of debates

Reference 48

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raw_fallback, observed 2026-08-15T18:28:07.495818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.229517Z digest=sha256:11233f6f2e6eeb4748a0f057effcdb4e0a3b473be3f65bd6a02c871f769927ef

Observation f2aa42cf-6aac-40d5-87bc-95aba4adda46 · outbound

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

LLM-Based Social Simulations Require a Boundary User Behavior Simulation with Large Language Model based Agents

Reference 50

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source=pdf_text observed=2026-08-15T18:28:06.239673Z digest=sha256:65cc96c9d8fb4ddaaeb49284420f8a0db58ca822589eb1b73716436caf50c445

Observation e1fc0e30-f748-463c-ba3b-38d6f81fdbf8 · outbound

This paper cites From ChatGPT to DeepSeek: Can LLMs Simulate Humanity?.

LLM-Based Social Simulations Require a Boundary From ChatGPT to DeepSeek: Can LLMs Simulate Humanity?

Reference 51

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source=pdf_text observed=2026-08-15T18:28:06.244599Z digest=sha256:8b3b183c894368b644902f319d4a92254e506713029795fa42d6755b497813db

Observation 74b41033-1de8-4260-aa63-510fea20f3fb · outbound

This paper cites Smart Agent-Based Modeling: On the Use of Large Language Models in Computer Simulations.

LLM-Based Social Simulations Require a Boundary Smart Agent-Based Modeling: On the Use of Large Language Models in Computer Simulations

Reference 52

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source=pdf_text observed=2026-08-15T18:28:06.249367Z digest=sha256:a0a0d8231ca027841df51f97507654e6501bb51028e1dedc5816bbc6495c36d2

Observation cf9b79b1-44d4-4fb2-8d3d-70a73f961d28 · outbound

This paper cites Shall we team up: Exploring spontaneous cooperation of competing llm agents.

LLM-Based Social Simulations Require a Boundary Shall we team up: Exploring spontaneous cooperation of competing llm agents

Reference 53

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verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.479777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.253790Z digest=sha256:69a46d8a5330adc75da31ef841117d9d4e872aabdd9c0871d87ea0b8d495dc8b

Observation 1dac2ceb-7733-48a7-8d1b-309cf2144e2b · outbound

This paper cites Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information.

LLM-Based Social Simulations Require a Boundary Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information

Reference 55

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no resolver link, observed 2026-08-15T18:28:06.262609Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:28:06.262609Z digest=sha256:0adf83206e8c7f36f1ad93c4b934feb259baad87f65b72a4aa62baaeada3b43a

Observation 7ee8bf03-16e9-4ce1-8895-c70665fc418d · outbound

This paper cites Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View.

LLM-Based Social Simulations Require a Boundary Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View

Reference 56

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:28:06.266825Z digest=sha256:cfb843d8c11b72cadf646db1b571ce2c095cbcc22524c7acdf82a7b4e6d34871

Observation ec5d4ec4-ed85-47c2-b75a-95347cd38c2f · outbound

This paper cites SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users.

LLM-Based Social Simulations Require a Boundary SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users

Reference 57

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no resolver link, observed 2026-08-15T18:28:06.271726Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:28:06.271726Z digest=sha256:e94822c8526bd7f41a839dd718e96bb0a2364720bad4cfb66af531806e36cc70

Observation 6cf7047d-dbdd-4062-b0e6-73561138ce58 · outbound

This paper cites Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities.

LLM-Based Social Simulations Require a Boundary Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:06.277031Z digest=sha256:87749d1e9df68ec1d07795826c5e572db594de3339538d4c2f5431be637613af

Observation 568c1e9e-f094-49fd-955f-55977578bab5 · outbound

This paper cites The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societies.

LLM-Based Social Simulations Require a Boundary The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societies

Reference 59

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no resolver link, observed 2026-08-15T18:28:06.282098Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:28:06.282098Z digest=sha256:59be831ed53a962459e2b626adc354e8617092b7d2ec1be276285b252348a903

Observation b00d1945-1c2f-4c27-8abc-bcca8f83213c · outbound

This paper cites SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents.

LLM-Based Social Simulations Require a Boundary SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents

Reference 60

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no resolver link, observed 2026-08-15T18:28:06.286845Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:28:06.286845Z digest=sha256:c652f856a3ccf785b2c060c088e87098aabb8837d64e19e5ca96e0f194f64c71

Observation 6c434a53-828a-4d5e-a1c9-85327ea29815 · outbound

This paper cites apophenia.

LLM-Based Social Simulations Require a Boundary apophenia

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.462945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.291691Z digest=sha256:adc6f1fdf0fdb3b121f6c6e3a5b9054e8b957939ca036c496f17171db3bd3c38

Observation 8ae91844-0920-4941-a458-ed880b51072b · outbound

This paper cites (3) Exploratory studies have demonstrated human-like behavior, with performance approaching that of humans in certain experiments (Anthis et al., 2025).

LLM-Based Social Simulations Require a Boundary (3) Exploratory studies have demonstrated human-like behavior, with performance approaching that of humans in certain experiments (Anthis et al., 2025)

Reference 63

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verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.428823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.300786Z digest=sha256:8ad810b4717b39df292b49ca2c4d50730258803de7c0de93ff34888806e7bcf7

Observation 146d8e09-e230-47e4-a761-10f4660c3a0a · outbound

This paper cites Would the research question still be answerable if all agents behaved identically at the population mean?.

LLM-Based Social Simulations Require a Boundary Would the research question still be answerable if all agents behaved identically at the population mean?

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.393665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.311190Z digest=sha256:8c0fdd63a605ffcb10e729e4daa4a0fdf9b7401ae76cbfc6f79667464c318b28

Observation 14cdb708-8a96-48ff-980e-7fc72da79d0a · outbound

This paper cites Can markets clear?.

LLM-Based Social Simulations Require a Boundary Can markets clear?

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.376511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.316101Z digest=sha256:8dbef90dfadeac1b0a1a7f16a879b87a96a86ffc029a4bf617bd451b75aae30c

Observation bd8c6c31-b9d7-4780-81ff-21fe1ead013e · outbound

This paper cites Personality Traits in Large Language Models.

LLM-Based Social Simulations Require a Boundary Personality Traits in Large Language Models

Reference 1971

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no resolver link, observed 2026-08-15T18:28:06.205861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:06.205861Z digest=sha256:63b86c008e5539e4aade33c49931adc8c48ff7271af2653625b61958aac60400

Observation 71e9a6d4-5cfc-471f-91ca-5f29b145ff7a · outbound

This paper cites United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections.

LLM-Based Social Simulations Require a Boundary United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections

Reference 1988

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no resolver link, observed 2026-08-15T18:28:06.234337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:06.234337Z digest=sha256:f1c8b37a4bef7ae64d97fdc410bd76cebbb194b96d074acdff312628ecdf6267

Observation 7d4f4271-50c4-4515-b520-a6153e02be3d · outbound

This paper cites K., Bhatia, S., and Chakraborty, T.

LLM-Based Social Simulations Require a Boundary K., Bhatia, S., and Chakraborty, T

Reference 1996

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.659696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.002538Z digest=sha256:7fdfafc63d0331f269f88dc96c9bfdad9554aa8c605dfdf2864173ffba0f9e6a

Observation 03ed0542-d692-483b-b546-2decf9e65a5e · outbound

This paper cites an unresolved cited work.

LLM-Based Social Simulations Require a Boundary Unresolved cited work

Reference 1999

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:28:07.445146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.296061Z digest=sha256:2e8703898d61585b53e6fc1c7bbfe32a1e2ac524f09431e64ed5146f8b2f18ed

Observation aebadfee-415b-42b7-adb0-741c0b9b0fa0 · outbound

This paper cites an unresolved cited work.

LLM-Based Social Simulations Require a Boundary Unresolved cited work

Reference 2005

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unresolved
raw_fallback, observed 2026-08-15T18:28:07.576698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.055400Z digest=sha256:39e2c391bb7bfdd773863ab14fc868313704f680ac5c359ab319bfca5969294a

Observation bdc509ff-ea46-4ec4-a146-252d1b11ff96 · outbound

This paper cites Modeling and math- ematical analysis of swarms of microscopic robots.

LLM-Based Social Simulations Require a Boundary Modeling and math- ematical analysis of swarms of microscopic robots

Reference 2006

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.592610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.050486Z digest=sha256:c2cb1bac29f152cb07f5a996cecf753e846fcc1d60e61d036a91c23820311185

Observation f0da83f2-24ce-4ef0-890e-21d24914e3da · outbound

This paper cites Explaining Large Language Models Decisions Using Shapley Values.

LLM-Based Social Simulations Require a Boundary Explaining Large Language Models Decisions Using Shapley Values

Reference 2009

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no resolver link, observed 2026-08-15T18:28:06.172872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:06.172872Z digest=sha256:b53a901db4fcac102254820b3607106f315d9d28a565eee337bb707aad54dc7a

Observation d25e355e-7076-4df6-b33d-74508f436379 · outbound

This paper cites Emergence of Social Norms in Generative Agent Societies: Principles and Architecture.

LLM-Based Social Simulations Require a Boundary Emergence of Social Norms in Generative Agent Societies: Principles and Architecture

Reference 2010

Resolution
unresolved
no resolver link, observed 2026-08-15T18:28:06.200255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:06.200255Z digest=sha256:8fc0e08fff37bcaed303b3eb3b0d1636a1b2433fb512891765c62d56cbf4e53c

Observation 64cb1529-47f5-4fc0-bb2b-5e6fc8abe0b8 · outbound

This paper cites Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations.

LLM-Based Social Simulations Require a Boundary Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations

Reference 2011

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no resolver link, observed 2026-08-15T18:28:05.997125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:05.997125Z digest=sha256:f1515a2b918a8b3629d0c231889879802abbccd9c8a2181cf39e9d403b4ce3fa

Observation 33248b25-b3a5-4250-9041-5019d5a2b0aa · outbound

This paper cites OASIS: Open Agent Social Interaction Simulations with One Million Agents.

LLM-Based Social Simulations Require a Boundary OASIS: Open Agent Social Interaction Simulations with One Million Agents

Reference 2014

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unresolved
no resolver link, observed 2026-08-15T18:28:06.257931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:06.257931Z digest=sha256:81d0fa583261b1fd94e409b7b19acc1a6acd37d054af095992c16aa8f553b748

Observation 98aab92a-b20f-4e1e-b7c7-447b8b2ed003 · outbound

This paper cites Can Generative AI agents behave like humans? Evidence from laboratory market experiments.

LLM-Based Social Simulations Require a Boundary Can Generative AI agents behave like humans? Evidence from laboratory market experiments

Reference 2015

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unresolved
no resolver link, observed 2026-08-15T18:28:06.028424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:06.028424Z digest=sha256:ac06e638f50f39143b164ae8e4e20bbc230851db1b3e989f44a928beabbd6f4f

Observation aed4ccc4-facd-4ea8-9e72-42f8710a7aed · outbound

This paper cites G., Ortu, F., Strausz, A., Sachan, M., Mihalcea, R., et al.

LLM-Based Social Simulations Require a Boundary G., Ortu, F., Strausz, A., Sachan, M., Mihalcea, R., et al

Reference 2017

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verified fuzzy
raw_fallback, observed 2026-08-15T18:28:07.543761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.123895Z digest=sha256:01fea918945a6fe47f5d3a239bccc54ba8a8421aab36f59f6814536d1da0a23f

Observation 80736ead-017e-442c-9372-e3f6581533b3 · outbound

This paper cites LLM Social Simulations Are a Promising Research Method.

LLM-Based Social Simulations Require a Boundary LLM Social Simulations Are a Promising Research Method

Reference 2018

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no resolver link, observed 2026-08-15T18:28:05.979377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:05.979377Z digest=sha256:1601103f78bae53b9f7d8e11e9fdfbf0e7b474a9adeb544bf168faf09fef10e3

Observation e33feddc-265d-4f68-8266-b9a49ffb4f6d · outbound

This paper cites Strategic Interactions between Large Language Models-based Agents in Beauty Contests.

LLM-Based Social Simulations Require a Boundary Strategic Interactions between Large Language Models-based Agents in Beauty Contests

Reference 2021

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:28:06.748053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.153943Z digest=sha256:1d76e1f2513506d0b19dd1e27bf0b84ee0aeacac1e66c1bcb1b931b85cd24152

Observation 416df9f2-38ee-427c-bf76-4fb89fdcd880 · outbound

This paper cites From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents.

LLM-Based Social Simulations Require a Boundary From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents

Reference 2022

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unresolved
no resolver link, observed 2026-08-15T18:28:06.177685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:06.177685Z digest=sha256:370c85c09795d90b64643a04c1ffe159d2d4985b53f1f4d4c51ad152b0dfa59b

Observation 415412d1-e1eb-4cd3-bc88-ca934809f68b · outbound

This paper cites Observing Micromotives and Macrobehavior of Large Language Models.

LLM-Based Social Simulations Require a Boundary Observing Micromotives and Macrobehavior of Large Language Models

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:28:07.290726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.018127Z digest=sha256:82ec662afc0685bd62c483bdad3c98bbe08520758f5a48f63a153484e1dc830c

Observation bc094281-2c2e-46c4-8276-59ad2a799214 · outbound

This paper cites Can We Count on LLMs? The Fixed-Effect Fallacy and Claims of GPT-4 Capabilities.

LLM-Based Social Simulations Require a Boundary Can We Count on LLMs? The Fixed-Effect Fallacy and Claims of GPT-4 Capabilities

Reference 2024

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unresolved
no resolver link, observed 2026-08-15T18:28:05.986091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:05.986091Z digest=sha256:bff6ed94f4f11e08781ba5665dd49a3dda8d2f92b25c5c2236e8e38d98b1d323

Observation fa3406a1-5d24-4c0c-8343-1caae983db0c · outbound

This paper cites Anomalous fluctuations in Minority Games and related multi-agent models of financial markets.

LLM-Based Social Simulations Require a Boundary Anomalous fluctuations in Minority Games and related multi-agent models of financial markets

Reference 2025

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:28:07.206296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:28:06.044934Z digest=sha256:ba39aeb654bcae93c047095774b2b3b7b677f8bec24de715ff7d6e094ddf1264

Pith citing papers

Observation 7d691930-da42-44f0-89a5-e623915d9113 · inbound

Exploring Silicon-Based Societies: An Early Study of the Moltbook Agent Community cites this paper.

Exploring Silicon-Based Societies: An Early Study of the Moltbook Agent Community LLM-Based Social Simulations Require a Boundary

Reference 22

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unresolved
no resolver link, observed 2026-08-04T06:14:16.034455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:14:16.034455Z digest=sha256:86c7f298371e3c15230d74301d338415f16f65dc872070805d96cf0bf29f9698

Observation 8d85c6cd-e50c-4c58-a416-0d0072378a7b · inbound

Network Effects and Agreement Drift in LLM Debates cites this paper.

Network Effects and Agreement Drift in LLM Debates LLM-Based Social Simulations Require a Boundary

Reference 22

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verified exact
arxiv_id, observed 2026-07-14T02:20:17.552214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:50:20.833398Z digest=sha256:df089639af43276a3b75ec8cf55fbd0e937631d95737701f7e7732d54fac0f03

Observation 515cad79-66d8-43da-bc2a-1b68f2a79c9a · inbound

Will Scaling Improve Social Simulation with LLMs? cites this paper.

Will Scaling Improve Social Simulation with LLMs? LLM-Based Social Simulations Require a Boundary

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-14T02:20:17.552214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T14:22:29.928733Z digest=sha256:76799de0f329e3fff2436a05880a0a48e204df2bed76f5df198f61f20038b8d6

Observation de58511b-8fb8-4c1a-bc86-ddb4dfbcba89 · inbound

Will Scaling Improve Social Simulation with LLMs? cites this paper.

Will Scaling Improve Social Simulation with LLMs? LLM-Based Social Simulations Require a Boundary

Reference 41

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no resolver link, observed 2026-08-02T09:03:30.822582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:03:30.822582Z digest=sha256:b77344fbf883edef49dfb7115679bbb9bcfa4da744cc347cf7bd61854043b55e

Observation c9ac51ff-35c4-4843-a40f-b1cc7bb49a59 · inbound

Empirical Grounding Improves the Realism of LLM Agents Simulating Human Behavior During Disruptions cites this paper.

Empirical Grounding Improves the Realism of LLM Agents Simulating Human Behavior During Disruptions LLM-Based Social Simulations Require a Boundary

Reference 10

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unresolved
no resolver link, observed 2026-08-01T18:01:09.707566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:01:09.707566Z digest=sha256:a5849ee230fc5dea3792ecb957b0f40b697b4414fc88786d2925f4737f7b081e