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Paper Citation Record · LEDGER

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.14744.

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

pith.paper-citation-record.v1
2402.14744 v3

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 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:49:33.715696Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:48:02.849669Z

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 03588bac-6abd-4799-bac7-dcae4e175926 · inbound

Large language model as user daily behavior data generator: balancing population diversity and individual personality cites this paper.

Large language model as user daily behavior data generator: balancing population diversity and individual personality Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:33.715696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:49:33.715696Z digest=sha256:01cd4bee6660ab578399735c5fdefa547e0fc93efa85bffa3abfa3aa1b8164aa

Observation fccf28a3-0843-456a-8b7e-52c69fedce91 · inbound

Aligning LLM with human travel choices: a persona-based embedding learning approach cites this paper.

Aligning LLM with human travel choices: a persona-based embedding learning approach Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:29.795291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:26:29.795291Z digest=sha256:93c77bc7b1265be524ac9ceba365d49611d4ae5d0d3f265f5b34580778e43cc7

Observation 9416c142-b0f8-4156-ad92-5e88a9651bfd · inbound

Generative Next POI Recommendation with Semantic ID cites this paper.

Generative Next POI Recommendation with Semantic ID Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:23.153395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:23.153395Z digest=sha256:eb3c1cf62db883c1dcf172161e99578e922e17086346f5022fbde6bf73c8125a

Observation 8cf6d276-f919-4a0e-b0b1-e1e9187c8a04 · inbound

Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses cites this paper.

Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:02.913925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:02.913925Z digest=sha256:e82804a819a2c27093858a7074579c3b80384bc7d69d74eb7d3d7db38a6bde59

Observation 46f00e5a-ace7-4b54-8bb1-19ab89d115a1 · inbound

Involution game with migration and spatial heterogeneity of social resources cites this paper.

Involution game with migration and spatial heterogeneity of social resources Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-14T22:15:43.870914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T22:15:43.870914Z digest=sha256:ff9c51e02a8e805b8154c279e11cd49b347733aa8a7d327971070f65a2aec696

Observation 81af3499-6c76-423e-9acc-72fc4ead1b46 · inbound

ARMove: Learning to Predict Human Mobility through Agentic Reasoning cites this paper.

ARMove: Learning to Predict Human Mobility through Agentic Reasoning Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:36:01.700765Z

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=arxiv_source observed=2026-05-10T05:33:51.021640Z digest=sha256:9bc15b3d20da09783c4b7a88fd82cfb26abb7cbb37de25154413926fca1415e2

Observation 92e00b39-b4be-49e3-9f4a-821feb6c1b87 · inbound

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support cites this paper.

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:56:14.093023Z

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=2026-06-28T17:35:21.127740Z digest=sha256:ab12c64ce377104a28b0bed29b5f672e26a2b8b028423d428d75a3c3ce9a3bb3

Observation f0ada050-b4c2-4edb-8d1b-e017a02de5f0 · inbound

TrajGenAgent: A Hierarchical LLM Agent for Human Mobility Trajectory Generation cites this paper.

TrajGenAgent: A Hierarchical LLM Agent for Human Mobility Trajectory Generation Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T10:48:02.851666Z

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=2026-06-27T09:49:02.885793Z digest=sha256:f5496e26d220a73f093191078e77676aa04efa6a8f2e4149ef8df91b3e3cb24c