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Paper Citation Record · LEDGER

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.12196.

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

pith.paper-citation-record.v1
2412.12196 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:39:00.493078Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 626e0dd8-532f-4c58-8340-aa6b8086d582 · outbound

This paper cites an unresolved cited work.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:39:00.905807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.366570Z digest=sha256:626256b52deee73b97bf4ca1c816ab18e3e7484f6ed13cbb4bf9e7d831b989fc

Observation bac54e6d-047e-4a4f-8fa4-5db2cb6de8bd · outbound

This paper cites an unresolved cited work.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:39:00.891964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.371600Z digest=sha256:b7dc1747ab4eb109e7bfca00ce606d9a23293141d14867f1fab06a929aecf0fb

Observation ea01a7c0-e05f-42aa-8510-80aea2688777 · outbound

This paper cites an unresolved cited work.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:39:00.877745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.376295Z digest=sha256:cb111f9bb9f4a56a181e185d437d445a61af334be8c3972c729613e9b3a40739

Observation 8ca65992-039a-45a3-bc31-087351551478 · outbound

This paper cites an unresolved cited work.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:39:00.863825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.381312Z digest=sha256:248f99f9cf5dcc317426aeb22ae22f8af1188c4a4e31ee967d99cede9b58f6e2

Observation 9fd18a1e-d4a5-4786-b77d-aaacaebd5a23 · outbound

This paper cites an unresolved cited work.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.385775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.385775Z digest=sha256:de1a7f1fa6ac7b3cb0a5cb5909179e2478e64ff7e63d1f858362836bf4b5242f

Observation 82ea578f-735a-4597-9ea8-28bccf9b37c4 · outbound

This paper cites Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.390192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.390192Z digest=sha256:7669d2a8afb4d21c9faf2459d00a8bd8a25b38cb5e94fa64cf14e4dad135bd1a

Observation 44ba7f09-f940-47d9-a854-20c418cd1501 · outbound

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

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.395603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.395603Z digest=sha256:799d33f05c6ae0d58cf938b3571e288fca34f2e11a92fff3acd0345b1ab4d1d2

Observation fc87d1f6-97bd-42e5-8894-6fe1f2cd8d9e · outbound

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

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.400112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.400112Z digest=sha256:ac9ea7dd2264ebdd5d3f5793830ae16451440ed0a1add8f56c279fd42fefeaa4

Observation 5efd0b2b-7da9-45d9-b4d0-bc0a7a04165b · outbound

This paper cites an unresolved cited work.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:39:00.840872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.404624Z digest=sha256:7c21bbbc4675309b8ce4eddc77b771225b25b73730481122e0ff204744f7c51c

Observation 27890b9e-16b6-4a26-98db-193e0f1c8310 · outbound

This paper cites The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.408263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.408263Z digest=sha256:d87293519dfa6d5afec425f978bc97c60a3362f8b7144d309c42a29f1abc6376

Observation b59a2416-8db8-467b-a4d8-4c1435a7999f · outbound

This paper cites an unresolved cited work.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:39:00.826884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.412118Z digest=sha256:e31ffaf31bd36ca97385e5f32e142ad6e1b1dc064b1524f9663eacb222f4201f

Observation 72549663-8ae6-4824-abde-745e756d9305 · outbound

This paper cites an unresolved cited work.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:39:00.812966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.416278Z digest=sha256:ed2497a14a2c7c8d4aad03500bb2000c4ec6184d299603afc9ae6a1d90c701e7

Observation c6e4b0ac-b220-4335-b740-485b956abd5d · outbound

This paper cites AgentSims: An Open-Source Sandbox for Large Language Model Evaluation.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System AgentSims: An Open-Source Sandbox for Large Language Model Evaluation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.420493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.420493Z digest=sha256:b3aa338f1dcaafcce696f1babbbf63efd9bd9a12f2c73589a8eff6d1a74e62ab

Observation 35d5f0d7-3a97-47ac-9f3b-2aea21abab85 · outbound

This paper cites an unresolved cited work.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.425309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.425309Z digest=sha256:4b3ae6b190d17541eb2d955f220d2413fc05df2f008dc8c1e5f262c6d48adce9

Observation 82836349-0713-4845-9679-2fa2eab733c8 · outbound

This paper cites O'Brien, Carrie J.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System O'Brien, Carrie J

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:39:00.789139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.429543Z digest=sha256:4b364bf5be35c4d43f172d631665d13326aa60c558be7c5620e63ecb64161b14

Observation a829cabf-a0fd-40d4-961b-912979f78b9c · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.433998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.433998Z digest=sha256:5041edc7da0b3b2ad116799aa308eaaa31dc02f630fc26f0de6f3de9fac680a7

Observation 743df800-f276-4231-b8bf-73812bfcfbea · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.438754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.438754Z digest=sha256:a4de840bfe3e6e9ba9226de8d4bfd64876f9b9b3670a6f4727610b48a3bb6117

Observation 9f038100-8c28-4177-bdd0-6036c9e64e5d · outbound

This paper cites an unresolved cited work.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:39:00.774380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.444336Z digest=sha256:42625f39d11fceb8006fd565632fa059ebbe159daa342689d50356b193e882ef

Observation 72edf2a8-9390-4436-89a9-de42938c73b7 · outbound

This paper cites an unresolved cited work.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:39:00.757606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.449359Z digest=sha256:cc062e5614e018d923bdf9fa5dcbffd14464849e8e44d02a3116eca06b2d1676

Observation 5015bbd8-af54-4a63-b65a-e2412fd71971 · outbound

This paper cites A Survey on Large Language Model based Autonomous Agents.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System A Survey on Large Language Model based Autonomous Agents

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.453911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.453911Z digest=sha256:369550972d10f140ba1e773a66286e025b09c06b2bc3d6bbd06dc549a8d00263

Observation 8d77c7f1-6c3d-42a1-adb6-23a0666abb37 · outbound

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

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System User Behavior Simulation with Large Language Model based Agents

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.458551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.458551Z digest=sha256:fa612da4a81e90f60ea168b50f26ee2f75ebccdc9f563620d00beb5b0886f4b3

Observation 73b748a0-648a-4053-80b2-e680529bb83f · outbound

This paper cites Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.463048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.463048Z digest=sha256:6e7b39052e61659f0909a4426441913b5356c699d7c74fc0ea9305ee02f1e21b

Observation c7f5a86f-b5bc-4468-b487-15694c403a47 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.467433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.467433Z digest=sha256:3a07d2cc2648f4a485cdc9ce2c207aa45d25b6273c1d8212353867a41aef1807

Observation 2cbc1d4d-966c-4929-8413-60d6a3074102 · outbound

This paper cites A Survey on the Memory Mechanism of Large Language Model based Agents.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System A Survey on the Memory Mechanism of Large Language Model based Agents

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.472784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.472784Z digest=sha256:2619f801d5af7eb5ab19f196cc930d4ae4259597de1aea84a93684edcdc48ad9

Observation 4e28f017-e45d-4b4c-9308-3357eea21b3a · outbound

This paper cites A Survey of Large Language Models.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System A Survey of Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.477596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.477596Z digest=sha256:a55fbbc1f8d804453f12dd3633a502018bf24cb443a4fb0a867aea5e4b8c3d27

Observation 115933fb-ae25-4e20-8500-64687c4a011a · outbound

This paper cites Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.482278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.482278Z digest=sha256:94b00feadb03e28edc2f7589ca165e3a8df3cf1f82a3d1a72ee03e710d696459

Observation 6a6a234f-ed0f-4fab-bb00-d4a2df4c22c0 · outbound

This paper cites online" 'onlinestring :=.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System online" 'onlinestring :=

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.487039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.487039Z digest=sha256:27b8d6e391053447760def28cee29a11957db649aa9b94c2d139ba5d55cd545f

Observation 3bac92e8-d35c-42d9-b0a0-196da18aabdf · outbound

This paper cites write newline.

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System write newline

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T15:39:00.493078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:39:00.493078Z digest=sha256:815bf81c026408e859c3560fba067c0363366e62094515788a6afc069b6eea8d

Pith citing papers

No inbound Pith citation observations are available.