Pith. sign in

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 2026-08-14T06:32:32.682623+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:a0b6b0f43b478d7098a91bf253c8ba2ffc9e5094813e26d301da9f49d16360e2

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=sha256:0d84bd107b4c2b9b4c4eaa584baeb73b559ecb5ce7044ae97f2ae8ad4360c148

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=sha256:741d355595de9993a6baa71e908474114b72b3c0ac2d295b12358162c6f03bb1

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=sha256:8916580d21bed507aa884ddd113724cca4d734ffe2e3da323502f5f4ae37a599

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=sha256:96b900605dc09ed05d8cbb87ce9297416a27acce23e3353c6bd6737bbf5fa498

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:b7bd781819ffdfeabe0a2eb6bb10affbf966d59a063fc0b2d75c8758fb3ba2bd

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:e113921bce0a550f1f26e5a09a1d9bd193eb5b6825afe107e101293f1e314020

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=sha256:0efb470093a7072ae7f3053214e09be4f57e0538cc6154b6c2c8749742af260e

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:a198b5e17192cb26e264719946734748618befaf31a5e9705f803a21bf54545d

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=sha256:6f1564ead7aa1ae60ee7556b2efe9fe72c8c4fbabe894ae28c8ff7886686c1ab

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=sha256:687e4be47fbd0c2e854ef57196cd41110da796506fca002947c56f7d917dfd78

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=sha256:1ade0099e5fba7ce27c35dbabf5b393ef12afa0d39b5ba234eba6da73b6682bf

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=sha256:023868c20490b63046ed026ad30d5f74808a18c691bc944d8d9f1f8dc381a7c5

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=sha256:4cc91c9d12d76d555a0b976b904b0aa60d379ffe6cb9bcd2db3d4b127932faa0

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:d6b27639e7584eb309ac6e14cc13bcd351c0a5ec960fc7cd1a2deb8fa8579cfa

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=sha256:6c87b545985c4267c3f2dc69de62d88f72be945a139cd3ac7572da1ef71d29bf

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:a5a2c1132c58efa627ee8af10ff3e0885c4b95c61461a8d917456407ea0d2e0f

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:f296c2d7f1cce4b2317322b237f24056f0853212d9d13c40d60286fceaaffb33

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:e0ee1649c1b22179b39e0b70c2c345fc95e4d741052a20c3af5b6a18e6a2045b

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=sha256:4d2968bc15aed2546aa6114207a7b47225d50e090c5a0c01fed815ba4bf0555d

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=sha256:3ecc59584e0a80bbca27aa4f6c4a1fe03e8672680e8d569cc431d7a1e21632ab

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:c785faf73b36ee8c10c1dba49a782fecea7a311bc7f1ec59144e5c918d2c51c1

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:eb6e53d9669771d85670706fb0ebf4c1fe9b9d414eb2cbf4a14c413c1211264d

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=sha256:2840fefd7005447830ab8122283f9d306d4a1d4717450e7b6555eccf2e48a91f

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=sha256:94f230538da891287e0d4b9aa2bceea80d7ba29f9a55476d7df86cb0ce0653e9

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=sha256:75afc4ba00ccec2c4a7ab030252b2c5c006ec765692726c168d21e433d1bc1b2

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:f886fc6a63b6460549ad67498dcf863f7cb2047f6f01b85e5a2e8e6e79e8444e

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:fea28ada39beac61613c532f337678ed0da380923fe1047e4587b666bdd0e41f

Pith citing papers

No inbound Pith citation observations are available.