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Paper Citation Record · LEDGER

PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.19273.

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

pith.paper-citation-record.v1
2402.19273 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:49:06.879788Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:07:11.547827Z

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 c37cedf3-a521-411b-bfb2-eb2520ddbc0b · inbound

Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization cites this paper.

Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T05:49:06.879788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:06.879788Z digest=sha256:1050cc7352e4ba2905df0d93730edfeddcd381008bee414c54ac3791de62695d

Observation c103bede-4669-4464-aee1-bdcc9ca0b23e · 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 PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval

Reference 240

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:07:11.556129Z

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=2026-08-06T21:07:11.506334Z digest=sha256:8a58b60446321f17d8cd1463b3a61b973ad84618af7143aa81307c7ddc222bd0