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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 2026-08-16T06:30:59.297886+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:03:11.318572Z digest=sha256:9bbaeef28ac790d0fd512c0c40b6e287e531b4367e40b13d4bd59f8e9dab6818

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

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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 2026-08-16T06:30:59.297886+00:00.

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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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.328885Z digest=sha256:a86a321be72fbed715b895c9866b5782dc9e360f6b8d8e3ef0d7de666e9bf44f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:03:11.333205Z digest=sha256:31c710d5746635ed21d6d2122c379313ef2bba5b8b612c26f67d82072e31bb1c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.338105Z digest=sha256:075ded5faa58715d315b5912c0d088d9f53c11397a23ca5678a23a51eedf3458

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:03:11.343708Z digest=sha256:c5256a1d7254d5a868d9479204fbec19533358d5825483760a6a5af8796a7a72

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:03:11.352037Z digest=sha256:7065faa01c33049e24fc6b4bfd798c37cad892b19bd23721c4600962023bf3ed

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.356001Z digest=sha256:1e2202716edda4e575cecd316003011e10d50b01535181588bd018703f768b61

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:03:11.360375Z digest=sha256:b25934825fd1c93ec74779b27252c6b613dcad5eb4534792cdc7b245a6a134fe

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.365264Z digest=sha256:c0aae3df377f98ffda88d9e8569e85fbe8f123d9566807446cc862ca3c678b67

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:03:11.371294Z digest=sha256:3ff777012cdb53de15abbc760b6d7b8b3dee5a66b261cd2e8febb3c6af824561

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.376562Z digest=sha256:b4dbf41a861fcf99ef929a4aa66d4671b5144d6a2707367d6ab1611cac961515

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.382037Z digest=sha256:a997eff8d349e198123b5d0184a305bbe60c1f80b93eb9eb5bb0ae382700d339

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:03:11.386680Z digest=sha256:2ae60403831f9785f76740f7a1e2b573b0e908c2d00671aedb2930b13bffdf5b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.395083Z digest=sha256:ae25067981848534add9399c27174d20e846859003fb71b6871cbe420b5f54f8

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:03:11.404178Z digest=sha256:f36349417ab4de099a3c8e060e085f2ba51551eab44b585d1ee19c89bffffa9f

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

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.422969Z digest=sha256:e5c86d189e62999854c42b6d9185465133b78f3b4bb9be5c27d66d5d39f765e8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.426832Z digest=sha256:a67c0fee86dcb03195b1c3d6abb619d19b366a23694236ef514ad7be2f2bd3b2

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:03:11.431067Z digest=sha256:30053dea34b5c4f97c955a418f28b46b5feaac10e5e3bb8e8943af622d4996b4

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

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source=pdf_text observed=2026-08-15T20:03:11.436241Z digest=sha256:8a4515f54f16414ff6e0948ee124369b3f88882f0784b245fd2de5b6041b4a1c

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:03:11.441068Z digest=sha256:8e58fdcaa66fd4d132974c932626315cd1a0aa0aa97ce6d2bd1eb51778bdcb29

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.446313Z digest=sha256:c9bf274af953a185cf4d316f45d6b95d1474a7ccbdb93a92e45712857a32f6c6

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.455415Z digest=sha256:c6a62d5a9e915d7a7c0f547d9e445043afab5abecbcd29f0e7e259c5959905bb

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.468900Z digest=sha256:a89582884d74d487df590b6e2d3519010523cecb87273df180f28ff23ed46c7a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.472521Z digest=sha256:c3dc3ad8c6c5970e63b83a5d424c43ba0ad8008314cbd2f4d58a8249cea40949

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.

source=pdf_text observed=2026-08-15T20:03:11.476623Z digest=sha256:f20105ae7ea55173a264e7c877a48d3de3d13e8b01dc0b13939ce1f54a581cab

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.480683Z digest=sha256:0cb33269e941caab47310dcd698ad7e56483e1fde4852747e121d40398810549

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.484662Z digest=sha256:70e38e11040ab7bc34163e6be1ef25078bc532905d5b71c50806968fde7175b8

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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no resolver link, observed 2026-08-15T20:03:11.488401Z

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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

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source=pdf_text observed=2026-08-15T20:03:11.492724Z digest=sha256:dbe88b8020e894d276080268d6654786f6cd73dc0a8280d642e4f9c196a6a7eb

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

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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

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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

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source=pdf_text observed=2026-08-15T20:03:11.507106Z digest=sha256:12b69083ed7a5f9ec74bf56130ca65d2b8d71479f3caeb516a62641e286d4f9a

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

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source=pdf_text observed=2026-08-15T20:03:11.512843Z digest=sha256:fccd9de5e0ca09c81f591bd67262b4bd0dbcb945e8a88a1a3f0a6bcbf6a2f4e9

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

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source=pdf_text observed=2026-08-15T20:03:11.517461Z digest=sha256:adf3ed69ce70d9b4e9bab5bc14dbb2917874359c44fcd5f18e13667521c8602f

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

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source=pdf_text observed=2026-08-15T20:03:11.522273Z digest=sha256:e7de40e29ac761caf577620ccac8cd59867b701fda0ac23ae97309bd98d82f76

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

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.526524Z digest=sha256:2afc19316b476210d447c7eae9e8125e726eb065ef09d062398f394d302f7468

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.531377Z digest=sha256:ddb1beeb3ef05626354ad0b8f45a032ce439e2c85ba6fab019e310cc7dd6de4b

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:03:11.535518Z digest=sha256:878e8d0cf7942d4cca6db5cf75c9c9a8032b34067c44ed5955f40b9d894dfd4c

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

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source=pdf_text observed=2026-08-02T22:50:35.880376Z digest=sha256:4c50f1994fd019aeb89491c875e3ad6a0ebe5505941318f31945b37f675a3d5f

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

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source=pdf_text observed=2026-08-02T22:50:29.098962Z digest=sha256:15d4380351013f631664b34623f908fada1c8d481a672ffbd3667970d50408c6