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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 14 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=sha256:58105933db678dc23e8d7d64f3008b5c2888e72d5f491970a0a9b308989dbdc5

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:b355a8c3e2c65b576b377fc8f22b307e253bb0ef404ecec04f36a3cbf046e5a7

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:f78a848fc6bc83990930939fd38715c459a8f5f34a484ce8201de8b99566cbdf

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=sha256:640ceaa4a5d5f6e490cd3422d1dc4d88eb696189b25315f56a8f78069ee28d32

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:b4cfd24fb09218403127f7c1c0278428851368ec687d3413651f49c5dc168e10

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=sha256:64e919d73275170df8b23b0db2ab46069a9d5ac281c89049672a45b60d914e68

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=sha256:3a76aa82eaa9df261b26fb1d36be78529ab23c15b2618be60350776fd44af21e

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=sha256:8618d0c3f2bc62e494362d3abdbb0b01627a59fcac64d354a88bbafce6c0dcb2

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=sha256:7bd437591c128b168b2a490b10368bfad610ca571740782b5954c271b8179eaf

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:d15cc569ef2677ff63fcdfb397f340a8403c8bc2328b1705b3be93321adc219f

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=sha256:9e4d99065a46d28307a1eed60d361de24a843e9be2b46ef8f22292d39cc7aa86

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:b57c2aed0ff27686f2a5f27dc1c6cf95510c7b1e79753e616f501b75e0847521

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=sha256:678d536d011c619526ce38accba9233e2a5c8b84e0a0cbfa5ecffecfe2acc2b6

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=sha256:028f8101f5eabbfcc99f8d3d2f6ebdb4e297f8153ad99e23d6a4446c9bf6ec50

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:bda8399e0b17fe61c59161ac19b4ba0db27ac3c5da243a12c056a288f4d8bff7

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=sha256:50daa5eca0e05c6221723b4457caf7f88b54e989aea0401e8683321e46e31509

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=sha256:220a8c2bac3569201ec9a88034a76d64ec6f30db7d3a3a7f442261925b019d72

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=sha256:60c0679f4774febbb73c79aef5e6c32f055b8baa8cea2db244af502c342cd532

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=sha256:362e9ebcc88b293885c75c08e7305b0e95e341f4c033c9ba10002b3202e5c1f8

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=sha256:581ce81a379841dbcad9647a899abdca8a9e5dd47f5f89d3eb49432d1f8d8d2a

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=sha256:5068ebddd5fbc155ad5540bd4366007cef4080399d604311eb2893f7ee1491fa

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:f52f152128c54af29fec00b874ff7033915fa98293d6eb441018e26fc877c360

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:cda34b2da7e69849ae8e771c11f93c74fb4c52a6220e41cc64a0f9cfdf005ba5

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:beb1773e675093d097c77eb39a7afd24246e34b0d1dc2ee28c5a10fc3ed3bcf6

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:cca82e5d13dbb3224af3f8f37fc070e45e3ccee772274fa716bb8efbf7e36a77

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=sha256:0fbdc5f4feb9fed30415388ccd8b7cdf42ca4cf7c9c1cc733e5b711a959b6c72

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=sha256:5d50dd30e02038a1e1a7264c332c1ce70cd37efe59703da823c820a3e8cd9551

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=sha256:579a792c145f9030215e559b5aee0a3cc1defa191e6c395a805ccf758468b9dd

Pith citing papers

No inbound Pith citation observations are available.