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Paper Citation Record · LEDGER

Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2312.11970.

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

pith.paper-citation-record.v1
2312.11970 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:40:47.283622Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T05:57:24.593771Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 98c12638-e909-456d-bb33-aa2a82bc8449 · inbound

Human-Agent Interaction in Synthetic Social Networks: A Framework for Studying Online Polarization cites this paper.

Human-Agent Interaction in Synthetic Social Networks: A Framework for Studying Online Polarization Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-09T15:40:47.283622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T15:40:47.283622Z digest=sha256:e6740ffe918b062ee291348fc65b6d11fbb33f1c26f53d40ff3d058621815f22

Observation 3136e42b-facb-45dc-9d5e-c981d81f5ca4 · inbound

FinRobot: Generative Business Process AI Agents for Enterprise Resource Planning in Finance cites this paper.

FinRobot: Generative Business Process AI Agents for Enterprise Resource Planning in Finance Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:49:06.844191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:49:06.844191Z digest=sha256:0b3cf5d3a81136b671fdba987fe1919bad025198d235e847a18005d66a971c4c

Observation 449fc825-b292-4c0f-a931-20cce9c5671b · inbound

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems cites this paper.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T05:39:58.958867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.958867Z digest=sha256:799d6b8c38a7184ea8bdcd852405132bbc5acecf5f748f5427bf16d55bff9edb

Observation e306d28a-2544-47a3-ba57-3f2b0332e861 · inbound

Validating Generative Agent-Based Models for Logistics and Supply Chain Management Research cites this paper.

Validating Generative Agent-Based Models for Logistics and Supply Chain Management Research Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T15:16:28.574413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:16:28.574413Z digest=sha256:e187f07e12c9d01d5f3e06e394db936cfde6679fdb62319b66bfb54dcb0f50f9

Observation c899b010-62af-42d5-9dcb-3f0d63217adb · inbound

EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies cites this paper.

EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-16T05:57:24.595909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T05:53:29.860037Z digest=sha256:d36c071def5a1d2d9449c9df4e42fbbadd1c5cb2c4a00fe81d03ad598ffc3de2

Observation a5cedc2e-340f-4293-a3f3-bda856cd479f · inbound

Avenir-UX: Automated UX Evaluation via Simulated Human Web Interaction with GUI Grounding cites this paper.

Avenir-UX: Automated UX Evaluation via Simulated Human Web Interaction with GUI Grounding Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:20:16.310561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T19:19:21.666582Z digest=sha256:086a009d106026d1456eb0cfffa2be7d45c2ed63a5b27384f792c1e879a010cb

Observation 463899cd-1906-4809-98cd-382fc3f50ea9 · inbound

The Energy Society: A Simulation Environment for Studying Agent Cooperation under Survival Pressure cites this paper.

The Energy Society: A Simulation Environment for Studying Agent Cooperation under Survival Pressure Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T00:53:21.806358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:53:21.806358Z digest=sha256:1a10b19ef1f097e214056669169d9a9bab4f9d22680d932510f10fd85a13bcc1

Observation 51bfb6f9-f5e3-495d-b435-df969473e9a7 · inbound

Evaluating Investment Logic in Large Language Models: A Real-World Benchmark Towards Personalzied Financial Agents cites this paper.

Evaluating Investment Logic in Large Language Models: A Real-World Benchmark Towards Personalzied Financial Agents Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:23.808718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:47:23.808718Z digest=sha256:9d0c0a677e93d5c0d367d1855570b9b82f8bedad0c6f73726cdc166a4cfeebcc