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Paper Citation Record · LEDGER

CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.13945.

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

pith.paper-citation-record.v1
2406.13945 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 2026-08-07T15:20:03.906802Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:55:51.557176Z

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 865b715e-4974-4226-9cb7-c97060be447b · inbound

Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities cites this paper.

Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:03.906802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:03.906802Z digest=sha256:dddd2f08e4e0149d245d4296f8ab804ec1961256223236a828d62e362329bc7d

Observation b05f7949-d8c9-498a-9b12-096d40ba262b · inbound

USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents cites this paper.

USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:13.027010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:13.027010Z digest=sha256:6453d570262fc2d949f86ec556b5362a8eb0c7af5d76a4f976b698a38736b3d7

Observation 8f376307-22e3-4613-8e00-42a9617fd63f · inbound

CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation cites this paper.

CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:39.843576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:39.843576Z digest=sha256:8681c0f1b26edf6183e9cd13bf76088592afdbce3ce806f6fbaf16b37a3cca0f

Observation 779eb1c6-5299-4a3c-af12-7d520bae94c6 · inbound

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T21:07:06.623354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:06.623354Z digest=sha256:72be93a6a9c17fd09207dd83643492e401ca284d6ec1f0a37efecc97c354f92d

Observation b944caec-cc6c-4b3b-ab77-e83a421c8ea4 · inbound

Chat2SPaT: A Large Language Model Based Tool for Automating Traffic Signal Control Plan Management cites this paper.

Chat2SPaT: A Large Language Model Based Tool for Automating Traffic Signal Control Plan Management CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:13:30.248103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:30.248103Z digest=sha256:e375d2fe2d0bf398859acb3d0107a2ef682e444d7cf1099824dc1e8aa9e0b771

Observation 18c7aecb-95ba-45fc-959b-76006ad871ec · inbound

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning cites this paper.

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T14:20:38.111020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:20:38.111020Z digest=sha256:c61db9597ad51bd8d6b58c5bc81ce7731d5a31dd5841364becd7875387655580

Observation 536b4484-e771-447a-b6d2-df05e74cf1ef · inbound

GenWorld: Empirically Grounded Urban Simulation Infrastructure for Scalable LLM-Agent Studies cites this paper.

GenWorld: Empirically Grounded Urban Simulation Infrastructure for Scalable LLM-Agent Studies CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:55:51.558872Z

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=2026-06-29T02:56:06.000871Z digest=sha256:5a10ab5a9a2b7cf90c57e56f9d66e74d7d7162d30f8228b465ffa94544b3b3e3

Observation d5181a69-33d9-4ce7-85f6-4740771b18e0 · inbound

Poverty Mapping: Data, Models and Applications cites this paper.

Poverty Mapping: Data, Models and Applications CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-03T06:45:58.764942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:45:58.764942Z digest=sha256:46cfadd665a659c1fd695a0af135cccad976133a4fff4058438ac87af3211153