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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 15 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.366570Z digest=sha256:27f4cfea9cc96b0c6a6815dddd61f579a514740ab2dfc9697bca65d1df08c680

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.371600Z digest=sha256:44b9f8059797dec4246ff21d3bfd200730807bac3394e8e5f93ae84aac2d8d4c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.376295Z digest=sha256:60e0d93f46c0e534214b1d38706b687c752526292c90f57f76d2ed01aa83578a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.381312Z digest=sha256:a17f447ccd0a90060fecec96674a1f8d3051e8d41f5cad6d2a059ad8c6460d03

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=sha256:0c3a952607cb4a78a7d8ca24969a2deafe7ad406a5f2a140312b52e426f43abc

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=sha256:730026c901b1b8319799420b29a0d1372ade0e3677281513428ef647f63e79e4

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=sha256:88fe490e9d1154bd3cbfd9c236010cf71137b352dea36dfa3f991825a921a2b1

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:f653ab2338d64eced4bed93509fb7bc35c4b29c96cf0c0d91983d4e2411e5856

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.404624Z digest=sha256:562d220b8a4e844bd88a6729fff50133475751339a1c831742c9f89785876edf

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:ad045881e56a8b1efc9090be5dc2a1d4cc7f09729afe00c2dd5199525e5f37c2

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.412118Z digest=sha256:a128201a02031aca3e1abe7e1f75b4fa74b5fc30b02977cb246d254ebad3c5f7

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.416278Z digest=sha256:820684ea76571e1448d2f455e01904b3a79272d5369ebdaccfdc439090afa5d7

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=sha256:6d17a2c216867f56ec587e77c09b1c904c8337660c361a547a079329805f38df

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=sha256:354f3d17f8310d1bd54a9a1e941ca605261ddd00d04ed55b109f0a121fc22da9

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.429543Z digest=sha256:161ef851114241ae1643a6e979cca06f16f6e480f76d59a71602be4ff6a3a9b4

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=sha256:3377e6b0dcdbe3d754ed46979659b13dac17ef3196a85b0616050bd4fb7a3f06

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:d2d5292808309762f1b441ac4e4d6d132ddeb54ffb5e5b655ed081810bce5f6f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.444336Z digest=sha256:835ead1396878852d39032f09975a62fc524ac11b7851cbf86bc5eceb8b25e0e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T15:39:00.449359Z digest=sha256:01217ce8489d14a8143364d797dfe38a2ab2d0c2241950a8218ef3bbc24c8337

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=sha256:6f65a46083b8a5e67b9b4819c4d8acfea2066d77595eb450bb2ec49c0b079f0d

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=sha256:21fc4b76669a67e52c3aaaa455b1ce1a91c993a7077da4146290840c2e489e53

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=sha256:2d97209b77e30a31d39e09bb1d8832b99f129561a7ce1ffba9347faf5d03cc0b

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=sha256:7492dd595299141a94381a73dd8d2661faab075b09306a08ff28c19fd4bdfa75

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=sha256:635435567eba50bf2698fb59288946601632e6c04b839ef1cf1f081b9585c30b

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=sha256:38ea6294646686ee5bbddc2ffc1a1780730d49d6ecbfab1b27c99d032c83e23d

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:c51b47e8597671381a48eb0d7b1d01fdf97c48adb63711cb45f6c8e40eeb7dfb

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=sha256:2f92e1160f75278b86c60c89bfb56c875e6368e5ba1f3e1e46104bca6382c05a

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=sha256:860b2c7e194220e7c0f21ea3ee24b3778a7c54b02e2ac79fc172f2d05db8e550

Pith citing papers

No inbound Pith citation observations are available.