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Paper Citation Record · LEDGER

Large Language Model for Participatory Urban Planning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2402.17161.

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

pith.paper-citation-record.v1
2402.17161 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:00:03.443147Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:57:34.643826Z

Reference resolution

0 of 0 outbound references displayed

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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 774c5a7e-bd97-4aff-a820-5a3e8933d4cc · inbound

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection cites this paper.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Large Language Model for Participatory Urban Planning

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:13:24.777188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2fb2268e-3b54-401c-b7f5-22105b1d038b · inbound

Decoding Urban Industrial Complexity: Enhancing Knowledge-Driven Insights via IndustryScopeGPT cites this paper.

Decoding Urban Industrial Complexity: Enhancing Knowledge-Driven Insights via IndustryScopeGPT Large Language Model for Participatory Urban Planning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T13:58:34.649055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:58:34.649055Z digest=sha256:f0cdd815031a42ed682c5f1978525f107fcbdcf9fc5b6586d1333ed01abb8e43

Observation df56090a-2b36-4f2b-9824-e69d04284f79 · inbound

Adaptive Urban Planning: A Hybrid Framework for Balanced City Development cites this paper.

Adaptive Urban Planning: A Hybrid Framework for Balanced City Development Large Language Model for Participatory Urban Planning

Reference 21

Resolution
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no resolver link, observed 2026-08-11T11:33:31.583535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:33:31.583535Z digest=sha256:5edc67b5c8649f87306576fec0e1e32a3bd92c8968c95d5dc836af855d0a5f98

Observation e099cf5a-e3d5-4346-b59a-e8613473ddf2 · inbound

LiPUP-MA: A Residential Experience-centric Multi-Agent Framework for Living-in-the-loop Participatory Urban Planning cites this paper.

LiPUP-MA: A Residential Experience-centric Multi-Agent Framework for Living-in-the-loop Participatory Urban Planning Large Language Model for Participatory Urban Planning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T23:24:00.159924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:24:00.159924Z digest=sha256:6845bbb0589c9b27f2a0b2793789e4db068f26f9a85e40fa9ff60570ab1c93c1

Observation a2912db0-2e2d-4bbf-9732-8689ff234535 · inbound

Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain cites this paper.

Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain Large Language Model for Participatory Urban Planning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T21:08:58.135807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:08:58.135807Z digest=sha256:f46e3a4d6ec247a659a00b792ec6500d61821769f3d965e24c510095e9479971

Observation 7b88a0ac-b1e3-497c-a75f-02778b7a5b54 · inbound

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy cites this paper.

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy Large Language Model for Participatory Urban Planning

Reference 248

Resolution
unresolved
no resolver link, observed 2026-08-10T20:05:12.829576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 29f7ddb3-cd58-4d59-89ed-4ccd1f9da9a9 · inbound

UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models cites this paper.

UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models Large Language Model for Participatory Urban Planning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T11:00:03.443147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:00:03.443147Z digest=sha256:9eb39eceffb54668ade454d38cd1fecf77b7fed2c0eca5884df1bc0b5eee4895

Observation 8b91d25d-f6ec-49d2-9dac-c2c543ed9e90 · 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 Large Language Model for Participatory Urban Planning

Reference 75

Resolution
malformed identifier
no resolver link, observed 2026-08-07T14:47:19.072276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:19.072276Z digest=sha256:4b1b08a2e46475764e1ae01fc12b7eecfb7ba42ed4ebd9a3974ec26d079b0354

Observation c4027f4d-c710-4565-9558-d41bbf6529d1 · inbound

MASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures -- A Comprehensive Framework cites this paper.

MASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures -- A Comprehensive Framework Large Language Model for Participatory Urban Planning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:02.307647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 672a0e26-7e98-447e-8af0-472f66f760a4 · inbound

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models cites this paper.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Large Language Model for Participatory Urban Planning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T04:22:32.079471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:22:32.079471Z digest=sha256:a71cafa0df7ed294a229ec60afef2b68b2cb4eb73d87a1598dfb440d2ec74870

Observation ea3200b7-d23d-463b-9009-52b89c50c6b1 · 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 Large Language Model for Participatory Urban Planning

Reference 229

Resolution
unresolved
no resolver link, observed 2026-08-06T21:07:11.494249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:11.494249Z digest=sha256:bbd5face19620899d474035c63db1cb4150a99999249062e281b7611e52c4695

Observation 26d0104f-a624-44c6-876f-178fb4482dc0 · inbound

StreetDesignAI: Broadening Designer Perspectives Through Multi-Persona Evaluation of Cycling Infrastructure cites this paper.

StreetDesignAI: Broadening Designer Perspectives Through Multi-Persona Evaluation of Cycling Infrastructure Large Language Model for Participatory Urban Planning

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:42:52.928120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 36e5e52a-7463-4e85-9c78-ba18755e43fb · inbound

StreetDesignAI: Broadening Designer Perspectives Through Multi-Persona Evaluation of Cycling Infrastructure cites this paper.

StreetDesignAI: Broadening Designer Perspectives Through Multi-Persona Evaluation of Cycling Infrastructure Large Language Model for Participatory Urban Planning

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:04:51.469749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cc0c7bb8-ff8c-4d26-8479-154bd66f34d6 · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs Large Language Model for Participatory Urban Planning

Reference 283

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metadata mismatch
arxiv_id, observed 2026-05-11T07:45:59.203357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:c19e3dfae01750637b7ff5e67e9c662b71f2cb049073e9694ca2ee2624f48332

Observation 847ed709-63d9-42f8-adf4-06edad3d357f · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning Large Language Model for Participatory Urban Planning

Reference 268

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:00:59.956166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T16:51:19.555272Z digest=sha256:fd8658bae7a9f630e4cde6925d9e5909db0fc517b687fba7501484adb879a391

Observation 4f63111d-a4e2-4421-8186-49fd3c26cb3e · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery Large Language Model for Participatory Urban Planning

Reference 265

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.227644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ca9342a6-e0f8-4157-b164-3d51b754a55a · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery Large Language Model for Participatory Urban Planning

Reference 265

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:35:45.969226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 74b2888f-4abd-4030-a8ec-cee122d7d0ce · inbound

From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models cites this paper.

From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models Large Language Model for Participatory Urban Planning

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:26:45.770764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e6bab736-a335-4b58-af68-e75101e2c6f4 · inbound

When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems cites this paper.

When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems Large Language Model for Participatory Urban Planning

Reference 63

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T20:57:34.658027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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