Paper Citation Record · LEDGER

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation

As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 2 inbound Pith citation observations for arXiv:2506.13599.

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

pith.paper-citation-record.v1
2506.13599 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:03:11.535518Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:50:35.880376Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

verified exact0
verified fuzzy21
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b89bcd2b-88b5-4389-8378-246b7010a435 · outbound

This paper cites LAMP: A Language Model on the Map.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation LAMP: A Language Model on the Map

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.312007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ac4c081-6ea5-4929-8ca2-f2f1535f865a · outbound

This paper cites Large Language Models are Zero-Shot Next Location Predictors.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Large Language Models are Zero-Shot Next Location Predictors

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.318572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 932fd368-b897-4535-80b3-707cd11e89fb · outbound

This paper cites Are large language models geospatially knowledgeable? In Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems , pages 1–4, 2023.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Are large language models geospatially knowledgeable? In Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems , pages 1–4, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.943007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc46f7af-b440-41c7-9d00-79a6d67f99dc · outbound

This paper cites The scaling laws of human travel.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation The scaling laws of human travel

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.930763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f3238982-968b-49ac-aa06-0c6ee4e3c8f2 · outbound

This paper cites Language models are few-shot learners.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Language models are few-shot learners

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.333205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eadfb8b-18a1-438f-a52b-e25cace2a88c · outbound

This paper cites Elements of urban form.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Elements of urban form

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.896442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d37a5b4-9302-4249-9f9e-9eff03f8c8ef · outbound

This paper cites Understanding world or predicting future? a comprehensive survey of world models.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Understanding world or predicting future? a comprehensive survey of world models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.343708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d478163-2b53-4a6a-b509-c588a07b2dfa · outbound

This paper cites Trajagent: An agent framework for unified trajectory modelling.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Trajagent: An agent framework for unified trajectory modelling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.352037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50820a57-fe5a-4b1c-8bfb-d1e5d8309841 · outbound

This paper cites Learning to simulate human mobility.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Learning to simulate human mobility

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.878405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b519c21c-7eab-4093-bae7-229ff43c5c19 · outbound

This paper cites CityGPT: Empowering Urban Spatial Cognition of Large Language Models.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation CityGPT: Empowering Urban Spatial Cognition of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.360375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e6a5106-b869-4687-9ee1-5ba3d1af99cb · outbound

This paper cites Agentmove: A large language model based agentic framework for zero-shot next location prediction.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Agentmove: A large language model based agentic framework for zero-shot next location prediction

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.860544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4d42e527-c919-47b9-825c-2e928336772f · outbound

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

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.371294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39a23c91-c60e-4bc6-b46a-12e28e2db7dc · outbound

This paper cites Large language models empowered agent-based modeling and simulation: A survey and perspectives.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Large language models empowered agent-based modeling and simulation: A survey and perspectives

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.752048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1604d997-90b3-4cf5-8e15-625a9180c694 · outbound

This paper cites Mobility-llm: Learning visiting intentions and travel preference from human mobility data with large language models.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Mobility-llm: Learning visiting intentions and travel preference from human mobility data with large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.586709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6ec1cd1-4dcc-4351-bd62-ab7559d4f9b0 · outbound

This paper cites Language Models Represent Space and Time.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Language Models Represent Space and Time

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.386680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19c20c7c-a7df-4ab4-b43c-061afd713444 · outbound

This paper cites The timegeo modeling framework for urban mobility without travel surveys.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation The timegeo modeling framework for urban mobility without travel surveys

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.500995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a78b4455-540a-4add-adaf-5c25997f5912 · outbound

This paper cites Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.404178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76e1361f-266a-4357-8c8b-ecfc4b178857 · outbound

This paper cites Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.409661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87c7ed05-72c0-425f-955e-cca309e3623d · outbound

This paper cites The scaling of human mobility by taxis is exponential.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation The scaling of human mobility by taxis is exponential

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.431200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1912c323-0b8d-434c-93f7-362300d95162 · outbound

This paper cites Act2loc: a synthetic trajec- tory generation method by combining machine learning and mechanistic models.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Act2loc: a synthetic trajec- tory generation method by combining machine learning and mechanistic models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.390867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a1c542b4-4f90-4c3a-921b-fe0a566c4487 · outbound

This paper cites Practical synthetic human trajectories generation based on variational point processes.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Practical synthetic human trajectories generation based on variational point processes

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.373333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0fc75e8b-f166-44ef-ac80-ce6bcbf2303f · outbound

This paper cites On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.431067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db7a7128-52fe-45ed-aa2c-77ac152dc666 · outbound

This paper cites GeoLLM: Extracting Geospatial Knowledge from Large Language Models.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation GeoLLM: Extracting Geospatial Knowledge from Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.436241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14774eab-370e-423e-a728-cc248c923cfd · outbound

This paper cites Large Language Models are Geographically Biased.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Large Language Models are Geographically Biased

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.441068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1872f4a-18bd-454d-8489-519f6f5a27db · outbound

This paper cites Introducing chatgpt.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Introducing chatgpt

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.358865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2dac9870-4dc3-4222-9a79-8b316c02ffe1 · outbound

This paper cites Data-driven generation of spatio-temporal routines in human mobility.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Data-driven generation of spatio-temporal routines in human mobility

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.344374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e4e9138-e887-4d98-997c-06ce767f7b0b · outbound

This paper cites Future directions in human mobility science.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Future directions in human mobility science

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.328588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 946445ec-8489-4083-bd5a-05e0dbad5c7b · outbound

This paper cites AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.459635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 726f224f-bf03-4f2a-b1e1-a8824bac73a8 · outbound

This paper cites GPT4GEO: How a Language Model Sees the World's Geography.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation GPT4GEO: How a Language Model Sees the World's Geography

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.464454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 113a4eb1-c84a-427d-a32c-004d8347b2f8 · outbound

This paper cites Structure of urban movements: polycentric activity and entangled hierarchical flows.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Structure of urban movements: polycentric activity and entangled hierarchical flows

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.278217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b66dd621-6d64-4aee-9439-367587d58eb9 · outbound

This paper cites Beyond imitation: Generating human mobility from context-aware reasoning with large language models.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Beyond imitation: Generating human mobility from context-aware reasoning with large language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.240764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bcc4598d-723a-44af-ba89-6c640f7763a4 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.476623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1db2c903-d331-4866-af7c-cf681208df4c · outbound

This paper cites An extended exploration and preferential return model for human mobility simulation at individual and collective levels.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation An extended exploration and preferential return model for human mobility simulation at individual and collective levels

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.194780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe0bda17-3ade-462f-98a1-794054e0f253 · outbound

This paper cites Large language models as urban residents: An llm agent framework for personal mobility generation.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Large language models as urban residents: An llm agent framework for personal mobility generation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.164780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c11c147-9671-4c41-9426-33e9c3a4ff3a · outbound

This paper cites A survey on large language model based autonomous agents.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation A survey on large language model based autonomous agents

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e734ce-1040-4d19-b231-3c0eed1e40b7 · outbound

This paper cites Where Would I Go Next? Large Language Models as Human Mobility Predictors.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.492724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a502f200-f180-42e4-aa35-1ccef46bb290 · outbound

This paper cites Simulating Human-like Daily Activities with Desire-driven Autonomy.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Simulating Human-like Daily Activities with Desire-driven Autonomy

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.497656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1708383-e52b-4a17-aef9-8d333026473f · outbound

This paper cites Emergent Abilities of Large Language Models.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Emergent Abilities of Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.502543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e830ac0a-41d4-4573-8e0d-3d3712d98ea1 · outbound

This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.507106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 832378f0-4376-4ae0-b766-2278d22143e4 · outbound

This paper cites OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.512843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00c142d9-1fc9-4d4e-a61f-ba17730996c0 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation React: Synergizing reasoning and acting in language models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.517461Z

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Unavailable: canonical work link unavailable.

Observation b322d5c2-d2da-4dfa-be60-9bc8f06b8c0b · outbound

This paper cites Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:03:11.522273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88e83da1-685e-47f9-861d-519028838a7b · outbound

This paper cites Activity trajectory generation via modeling spatiotemporal dynamics.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Activity trajectory generation via modeling spatiotemporal dynamics

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.130109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 027ed0cd-0bd2-436a-a3bb-ff3be12a2403 · outbound

This paper cites Spatio-temporal diffusion point processes.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Spatio-temporal diffusion point processes

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.113829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d3eb550d-73b2-4942-8e27-c19c1382c79a · outbound

This paper cites Spatial planning of urban communities via deep reinforcement learning.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Spatial planning of urban communities via deep reinforcement learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:03:12.084852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation c08d48d1-1519-4de1-8ecd-2c60b42f346e · inbound

Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance cites this paper.

Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T22:50:35.880376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e20ab2e0-b77b-4852-b3cd-3249baac1676 · inbound

Mobility-Aware Cache Framework for Scalable LLM-Based Human Mobility Simulation cites this paper.

Mobility-Aware Cache Framework for Scalable LLM-Based Human Mobility Simulation CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T22:50:29.098962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.