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Paper Citation Record · LEDGER

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.05981.

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

pith.paper-citation-record.v1
2506.05981 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:02.308344Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

39 of 39 outbound references displayed

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  • verified fuzzy25
  • unresolved13
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 01657141-9798-4260-b6fa-ad09b1b0d1c9 · outbound

This paper cites State of the art in agent-based modeling of urban crime: An overview.Journal of Quantitative Criminology, 35:155–193, 2019.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents State of the art in agent-based modeling of urban crime: An overview.Journal of Quantitative Criminology, 35:155–193, 2019

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fdfac68e-f744-4e7a-b2d9-64b6ab8dcf4e · outbound

This paper cites Streetscore-predicting the perceived safety of one million streetscapes.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Streetscore-predicting the perceived safety of one million streetscapes

Reference 2

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raw_fallback, observed 2026-08-07T10:18:06.970403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:17:59.087283Z digest=sha256:d801ecd9610ee0207b8a775ef2d399327fd4d5f8b1aa11ca8f44c282a3a4e956

Observation 448c514c-05cf-4105-8619-2f5af2c62f25 · outbound

This paper cites Event-level prediction of urban crime reveals a signature of enforcement bias in us cities.Nature human behaviour, 6(8):1056–1068, 2022.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Event-level prediction of urban crime reveals a signature of enforcement bias in us cities.Nature human behaviour, 6(8):1056–1068, 2022

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:17:59.165817Z digest=sha256:25ab585e609319a2ce75cc638d4656e7aefa8a57fffe5111204e7b9e538a84b5

Observation f20dc2f1-4b91-4d16-8944-638c6cf25536 · outbound

This paper cites Diffcrime: A multimodal conditional diffusion model for crime risk map inference.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Diffcrime: A multimodal conditional diffusion model for crime risk map inference

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T10:18:06.479645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:17:59.273283Z digest=sha256:13ff98292e157062ff77ec2128c1a08f4d4c74e67b0b1d7110d01b3035176f82

Observation 5b95c88c-9120-484a-b277-0fe8bc7a329c · outbound

This paper cites Crime reduction through simulation: An agent-based model of burglary.Computers, environment and urban systems, 34(3):236–250, 2010.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Crime reduction through simulation: An agent-based model of burglary.Computers, environment and urban systems, 34(3):236–250, 2010

Reference 5

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raw_fallback, observed 2026-08-07T10:18:06.237308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:17:59.365524Z digest=sha256:f81cc0b98d51f95c22adad60c665a5b32af99346d1ced0a504f189d48f5a75f3

Observation cda64ffe-dee5-48c7-bdd8-e0f40433f4a9 · outbound

This paper cites An agent-based model for simulating urban crime with improved daily routines.Computers, Environment and Urban Systems, 89:101680, 2021.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents An agent-based model for simulating urban crime with improved daily routines.Computers, Environment and Urban Systems, 89:101680, 2021

Reference 6

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raw_fallback, observed 2026-08-07T10:18:05.916096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:17:59.432672Z digest=sha256:b67def8c4732b620e6263e4f48b812188cb31ba1e94d51cff810c7d079040df2

Observation 73d16415-017e-4e37-aa22-0397f4301ce8 · outbound

This paper cites Role play with large language models.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Role play with large language models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:59.484400Z digest=sha256:f0bd78616d9aeebf3f4668837d1aa9d183f958d7114b82e30ae99300e679b6a0

Observation 51b9ae95-5fef-4951-b3ef-7d8119ded52c · outbound

This paper cites EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:17:59.596375Z digest=sha256:b523b8a3ced8742c5b5f22a4351cff15fb9fd4b7f74608807aa7a17fceac528e

Observation f6b14197-822d-4056-b902-e73f64ce6b0b · outbound

This paper cites Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:17:59.708206Z digest=sha256:a71c36191859075a9ddb737e99eb0d0e7994e9d0e6f89f56288656e32e665061

Observation 4064875e-41e9-4231-9cc8-916c248fdbff · outbound

This paper cites Emergence of human-like polarization among large language model agents.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Emergence of human-like polarization among large language model agents

Reference 10

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source=pdf_text observed=2026-08-07T10:17:59.793221Z digest=sha256:f1e0d6e0abae831222c8e0a604192657d5449da3b5a6b5d60e12a0c6d9855990

Observation bc871063-aea7-4a71-a3ef-b3513e0d7e09 · outbound

This paper cites Routine activity theory.The encyclopedia of theoretical criminology, pages 1–7, 2014.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Routine activity theory.The encyclopedia of theoretical criminology, pages 1–7, 2014

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:17:59.879720Z digest=sha256:0ae8698d833cd7b72e7645c520563ca6d3b459a993d40cc07f99f6e6006a74ef

Observation e34416fc-4808-4834-bce1-4166572281a0 · outbound

This paper cites Optimizing generative ai by backpropagating language model feedback.Nature, 639(8055):609–616, 2025.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Optimizing generative ai by backpropagating language model feedback.Nature, 639(8055):609–616, 2025

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:59.958924Z digest=sha256:9e183fd8e2156e0fb27c1763c65d5777d43a1ded24153f1d3894dd86958254ac

Observation fcea098c-5a2f-4dba-be37-66d96ceb7e75 · outbound

This paper cites Machine learning in crime prediction.Journal of Ambient Intelligence and Humanized Computing, 14(3):2887–2913, 2023.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Machine learning in crime prediction.Journal of Ambient Intelligence and Humanized Computing, 14(3):2887–2913, 2023

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:00.104484Z digest=sha256:ece62755b0f95c1ea203a5bcc77e161aa587155221da5c140b4950b5a4b4cc63

Observation 8899bdf3-a765-4c12-8198-f4559e6336d5 · outbound

This paper cites Rational choice theory.Understanding contemporary society: Theories of the present, 129:126–138, 2000.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Rational choice theory.Understanding contemporary society: Theories of the present, 129:126–138, 2000

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:00.187442Z digest=sha256:ac33ddb4c7ee2948748ac8dfefcb0c96dac4fe17ac879af3ddfc8a2e31e04b13

Observation a9288a16-b7a7-46e3-aaac-913ae4eebc19 · outbound

This paper cites Can hot spots policing reduce crime in urban areas? an agent-based simulation.Criminology, 55(1):137–173, 2017.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Can hot spots policing reduce crime in urban areas? an agent-based simulation.Criminology, 55(1):137–173, 2017

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:00.281043Z digest=sha256:2e37a9050c97831ddfeaebe2c88399d7d00644495fda9a5563b22b96cdb32227

Observation bc040784-3601-4897-860a-90258ac6b5e5 · outbound

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

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Reference 16

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source=pdf_text observed=2026-08-07T10:18:00.393825Z digest=sha256:dda3e3b0da267264c7cac8f602b932e7be2abca0dc194d77763ccc98a11c3993

Observation 75b7cdc9-532c-4400-ba2b-0269b2b081f7 · outbound

This paper cites Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMs.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMs

Reference 17

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source=pdf_text observed=2026-08-07T10:18:00.494283Z digest=sha256:68aaeb76bcf6ac2a6af94f74c51222a4f88d0a0d8536edd2e83a1ee1a290fe3e

Observation fec53786-1ee5-44f8-97d3-758fe6015b05 · outbound

This paper cites Zou, Aaron Shaw, Benjamin Mako Hill, Carrie Cai, Meredith Ringel Morris, Robb Willer, Percy Liang, and Michael S.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Zou, Aaron Shaw, Benjamin Mako Hill, Carrie Cai, Meredith Ringel Morris, Robb Willer, Percy Liang, and Michael S

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:00.606940Z digest=sha256:2ba88a2b24bbca1b048538803ce9290b06e14eba2d5dcb9eaa1d2ea508ef23c3

Observation bf6efa30-68b1-4867-b3d1-40a878ea6294 · outbound

This paper cites Llm-augmented agent-based modelling for social simulations: Challenges and opportunities, 2024.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Llm-augmented agent-based modelling for social simulations: Challenges and opportunities, 2024

Reference 19

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:00.687472Z digest=sha256:b86d3fd01882d2cc11d8651ab8b5ade846c5178034c7171a6a11cb60c6ea6fb7

Observation 180d3203-ec65-4783-bbee-966b1ba658d7 · outbound

This paper cites Predicting results of social science experiments using large language models.Preprint, 2024.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Predicting results of social science experiments using large language models.Preprint, 2024

Reference 20

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source=pdf_text observed=2026-08-07T10:18:00.776301Z digest=sha256:76c7525e84a3ace807514e3d3080548f8dea34ff5d45add4e6dc26467a56031f

Observation 168c495d-50e7-4b32-a5ea-ae73de535967 · outbound

This paper cites Invisible walls in cities: Leveraging large language models to predict urban segregation experience with social media content.arXiv preprint arXiv:2503.04773, 2025.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Invisible walls in cities: Leveraging large language models to predict urban segregation experience with social media content.arXiv preprint arXiv:2503.04773, 2025

Reference 21

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source=pdf_text observed=2026-08-07T10:18:00.866471Z digest=sha256:5f8519e66e5f33f222198acdbbd7a9df44f69b3d70127e8487449852caa5bfeb

Observation 77da1986-0b18-4c7a-936e-48e619923ec8 · outbound

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

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents

Reference 22

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source=pdf_text observed=2026-08-07T10:18:00.990198Z digest=sha256:2930ea5557772d160c47f07a17fe24401e8f63fcef3a2b4e81c618f785c00626

Observation f20a9b15-a5b3-4812-bc75-ef5721cd7881 · outbound

This paper cites Agentsociety challenge: Designing llm agents for user modeling and recommendation on web platforms.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Agentsociety challenge: Designing llm agents for user modeling and recommendation on web platforms

Reference 23

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raw_fallback, observed 2026-08-07T10:18:04.718269Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:01.069322Z digest=sha256:98bd56c79da34b90cf5871bafca9b272847e2036318f447d23c56c58795b2f21

Observation 6a4e686d-5367-49ee-a8f1-5297ac6942e2 · outbound

This paper cites Large language model-driven meta-structure discovery in heterogeneous information network.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Large language model-driven meta-structure discovery in heterogeneous information network

Reference 24

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raw_fallback, observed 2026-08-07T10:18:04.612249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:01.147413Z digest=sha256:ba26ad389559817d1ad89e7fcf5313bb34de4d869649fea1ba96e63845b8798c

Observation d59199a9-db12-4b1e-bee5-5d7ff0d72bb8 · outbound

This paper cites Predicting multi-level socioeconomic indicators from structural urban imagery.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Predicting multi-level socioeconomic indicators from structural urban imagery

Reference 25

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raw_fallback, observed 2026-08-07T10:18:04.463677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:01.215344Z digest=sha256:f36787cc09be2006837867ee8c9ceeff9f90b45fc47d022071f5dd8338b0b3f2

Observation f75ae44f-ee67-41e8-9419-9093fc40df64 · outbound

This paper cites Visualization and analysis of mapping knowledge domain of urban vitality research.Sustainability, 11(4):988, 2019.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Visualization and analysis of mapping knowledge domain of urban vitality research.Sustainability, 11(4):988, 2019

Reference 26

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raw_fallback, observed 2026-08-07T10:18:04.350500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:01.299607Z digest=sha256:094136a73ed94938074bb35c03ac81b43e62cf6db3b286f76a76d98733c06711

Observation 50c2f837-cadf-460a-884c-ee5e9f88c205 · outbound

This paper cites A multi-modal graph neural network approach to traffic risk forecasting in smart urban sensing.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents A multi-modal graph neural network approach to traffic risk forecasting in smart urban sensing

Reference 27

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raw_fallback, observed 2026-08-07T10:18:04.248820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:01.396418Z digest=sha256:27912dec17b732c3d84d78765e54a33cb4dfdb6450300d5d4db4cf220a7a2d1e

Observation 2cbe8e37-a34a-4230-bcb6-0d4452c0046f · outbound

This paper cites Using human mobility data to quantify experienced urban inequalities.Nature Human Behaviour, pages 1–11, 2025.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Using human mobility data to quantify experienced urban inequalities.Nature Human Behaviour, pages 1–11, 2025

Reference 28

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raw_fallback, observed 2026-08-07T10:18:04.138929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:01.462435Z digest=sha256:05b8627f0e06f6442c386085d71acb9d2060b2f3f3656b2630d55dc6d1d1cd5c

Observation 69cae591-ece2-4444-92b4-ce7b85ec08a8 · outbound

This paper cites Computer vision uncovers predictors of physical urban change.Proceedings of the National Academy of Sciences, 114(29):7571–7576, 2017.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Computer vision uncovers predictors of physical urban change.Proceedings of the National Academy of Sciences, 114(29):7571–7576, 2017

Reference 29

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raw_fallback, observed 2026-08-07T10:18:03.983314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:01.533826Z digest=sha256:b5ea3d89f424de54f471c642207fa76436ebf0b34d47b3d92ab943a70a36b995

Observation 33fa9f9d-be26-478e-811d-bc25d310157d · outbound

This paper cites Crime prediction using machine learning and deep learning: A systematic review and future directions.Ieee Access, 11:60153–60170, 2023.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Crime prediction using machine learning and deep learning: A systematic review and future directions.Ieee Access, 11:60153–60170, 2023

Reference 30

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raw_fallback, observed 2026-08-07T10:18:03.870266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:01.595504Z digest=sha256:e560cb735f27ee9771bcbf967d16d90151b8c0090914490d4faaefd37961af62

Observation 0ec489d0-1e69-4ee7-acb7-b5ee68852e7d · outbound

This paper cites Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions

Reference 31

Resolution
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no resolver link, observed 2026-08-07T10:18:01.673115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:01.673115Z digest=sha256:aedb4419b69164858b006dea3af82baf042f4b57856ba70d5f77dc69eff1befb

Observation c1dcd395-7faf-472e-aa3d-95bf81c8092c · outbound

This paper cites Modelling the scaling properties of human mobility.Nature physics, 6(10):818–823, 2010.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Modelling the scaling properties of human mobility.Nature physics, 6(10):818–823, 2010

Reference 32

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raw_fallback, observed 2026-08-07T10:18:03.709036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:01.777565Z digest=sha256:b7fe0b12a9272c2615ca86facdcbd80c3b4e62ac3c7f8b4b597b40cfee5fa394

Observation 84a33b85-a5a6-41d9-ab83-95bce42b3f1d · outbound

This paper cites Criminal justice information services division.Federal Bureau of Investigation, US Department of Justice (Testimony before the Senate Committee on the Judiciary), 1996.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Criminal justice information services division.Federal Bureau of Investigation, US Department of Justice (Testimony before the Senate Committee on the Judiciary), 1996

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:18:03.520547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:01.844586Z digest=sha256:18e638713a21237383b4c2e4d45d008528b45ebb14ab64f1e9e898bcaf376010

Observation 65eb60dc-033f-4e00-bcf3-52c576039f6e · outbound

This paper cites Urban visual intelligence: Uncovering hidden city profiles with street view images.Proceedings of the National Academy of Sciences, 120(27):e2220417120, 2023.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Urban visual intelligence: Uncovering hidden city profiles with street view images.Proceedings of the National Academy of Sciences, 120(27):e2220417120, 2023

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:01.936451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:01.936451Z digest=sha256:4be5ee35cb9acb406664ee53154d79c5c9b561e0b49b7964f8fdc29b74426f9e

Observation 8e62f17b-777f-46c2-a2b0-87b3d3ca0b61 · outbound

This paper cites Medvedev, and Devon L.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Medvedev, and Devon L

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:18:03.351050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:02.008058Z digest=sha256:0cdcadea6b8b2cb4ab6b25a78c55adb13c4ab416a0f9c548d2df27ba8d39ff7c

Observation 491499b9-4a55-4c07-86ac-c646c0ab7435 · outbound

This paper cites WHERE OFFENDERS CHOOSE TO ATTACK: A DIS- CRETE CHOICE MODEL OF ROBBERIES IN CHICAGO*.Criminology, 47(1):93–130, 2 2009.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents WHERE OFFENDERS CHOOSE TO ATTACK: A DIS- CRETE CHOICE MODEL OF ROBBERIES IN CHICAGO*.Criminology, 47(1):93–130, 2 2009

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:18:03.156840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:02.078660Z digest=sha256:7170625608558fff28fad9b7e37b2cc9bba853d567c85988319da85893709635

Observation d35a7cb8-74fa-4324-a992-af56ce47323c · outbound

This paper cites an unresolved cited work.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:18:03.008706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:02.145852Z digest=sha256:95e5a8a3d7099a8a2b3fc36f7eba27b0bd471e0e5903a0b858b2dec152245db5

Observation 199b0eff-07e5-46d6-81cb-8d30c589a401 · outbound

This paper cites Crime and segregation.Journal of Economic Behavior & Organization, 64(3):391–405, 2007.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents Crime and segregation.Journal of Economic Behavior & Organization, 64(3):391–405, 2007

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:18:02.835722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:02.225519Z digest=sha256:980eb26a7b3e245aa8e430ffb2a30dc5c3ebb508157054a8fd1a3577bb0c3f2e

Observation 199987d7-f8f2-4851-ac66-e72a1ccca4ee · outbound

This paper cites status": true,.

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents status": true,

Reference 39

Resolution
verified exact
raw_fallback, observed 2026-08-07T10:18:02.544581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:02.308344Z digest=sha256:49d88efc991a0d395a54600615f450ea69b0129d31445295c545aae19fad86c3

Pith citing papers

No inbound Pith citation observations are available.