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Paper Citation Record · LEDGER

Spatial-Temporal Large Language Model for Traffic Prediction

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2401.10134.

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

pith.paper-citation-record.v1
2401.10134 v4

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 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:55:26.838076Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:56:14.180805Z

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 9f10eb25-7b3a-4a54-9c9f-5b6ce8c3b55e · inbound

TransCompressor: LLM-Powered Multimodal Data Compression for Smart Transportation cites this paper.

TransCompressor: LLM-Powered Multimodal Data Compression for Smart Transportation Spatial-Temporal Large Language Model for Traffic Prediction

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T13:40:45.840950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:40:45.840950Z digest=sha256:d88907c684c675fac4fb6204f06c0dbffe17394d52c44748d04722c1d73de495

Observation d30ee7c3-ec16-4b0d-960d-d76835c7447b · inbound

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis cites this paper.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Spatial-Temporal Large Language Model for Traffic Prediction

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-12T04:54:41.142121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.142121Z digest=sha256:b33bfa733d6dae02c6a31e8ee8c5c30cbd6a46fc8c6025120765a89a9a18148d

Observation 2691109d-85b2-4367-af0d-2cf7fd0e2067 · inbound

Embracing Large Language Models in Traffic Flow Forecasting cites this paper.

Embracing Large Language Models in Traffic Flow Forecasting Spatial-Temporal Large Language Model for Traffic Prediction

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T15:25:04.970553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:25:04.970553Z digest=sha256:ccd849150220d9e4bb2f35fb912e7b3a4ec6190ba926c6c0c68f1eaec8cddf7e

Observation 42303910-796d-4bcf-984e-1bf8ca4b8701 · inbound

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions Spatial-Temporal Large Language Model for Traffic Prediction

Reference 130

Resolution
unresolved
no resolver link, observed 2026-08-10T21:37:04.641658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:37:04.641658Z digest=sha256:51ab91dde0bdecc5d2820b7d82a82f3a6f105f698f19d23a11ca9eb53e78bf9c

Observation a40ed2a7-ca5c-404b-9245-36b825d6c89e · inbound

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning cites this paper.

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning Spatial-Temporal Large Language Model for Traffic Prediction

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T19:42:13.789501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:42:13.789501Z digest=sha256:8d0bb68bb54f5d37a0f87d8b2ff1547fc4765b4fac7a062fc91b80f1815fc79e

Observation 9fbeadf1-a539-4e6c-b047-9a5e7404aaf3 · inbound

UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models cites this paper.

UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models Spatial-Temporal Large Language Model for Traffic Prediction

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T20:55:26.838076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:55:26.838076Z digest=sha256:6893fd8f31087a22df57c0834232c5f846882b6bef14dd54296d77c340317ae8

Observation e0439ae8-e795-4238-b783-376235bbb789 · inbound

From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.

From Time Series Analysis to Question Answering: A Survey in the LLM Era Spatial-Temporal Large Language Model for Traffic Prediction

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:16.131686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T09:31:55.829045Z digest=sha256:4765548d4776ae8021fc5b0fcd19842ba1f924198edc253fd21329ca168275c6

Observation 19209421-bf97-46fd-9f81-575337eb6e57 · 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 Spatial-Temporal Large Language Model for Traffic Prediction

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:56:14.182283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T17:35:21.127740Z digest=sha256:cfdc73564521234b93068c1e97cf7a4adb820e0540cc68dd4bd9154e3123a30a