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Paper Citation Record · LEDGER

TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.12459.

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

pith.paper-citation-record.v1
2405.12459 v2

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:06:45.136485Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T04:54:41.611070Z

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 6b914815-aa02-449c-8b03-aea0ff41dd22 · 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 TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:54:41.614925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T04:54:40.951499Z digest=sha256:afdf32afe866627c49e903d1cf41fbd6c6f513eb3be69e16eae8696829126932

Observation 3808182c-ba43-4956-9169-96a5a64485ed · inbound

Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining? cites this paper.

Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining? TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T17:06:45.136485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:06:45.136485Z digest=sha256:18d6397e01f8675145a6fa1a96a67d8829d74777753e45adba75cc2442ea5a0b