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Paper Citation Record · LEDGER

TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.15251.

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

pith.paper-citation-record.v1
2408.15251 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:54:19.121226Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T13:21:24.336965Z

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 82873f99-0dc2-47bd-8603-ff4768662451 · inbound

Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision cites this paper.

Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:02.193724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:02.193724Z digest=sha256:97062b69315735ca68c8eea0b2e452b65db1233a5ef04e97c95afa5c335b775f

Observation b98edad4-e6bc-486b-83d5-8e0f328d9559 · inbound

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review cites this paper.

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability

Reference 110

Resolution
unresolved
no resolver link, observed 2026-08-07T11:49:41.508054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:49:41.508054Z digest=sha256:2f0fde4195269d299a161c541836859b10ab4cddba695fa330e6dc44bfabde25

Observation 8fc561cc-3107-4611-95ea-3ae0304631df · inbound

From Points to Places: Towards Human Mobility-Driven Spatiotemporal Foundation Models via Understanding Places cites this paper.

From Points to Places: Towards Human Mobility-Driven Spatiotemporal Foundation Models via Understanding Places TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T19:54:19.121226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:54:19.121226Z digest=sha256:9b69f45a62df3632eec111202c3be797e39abd81c4d2aa18a050113d341c1a4a

Observation a4c00b90-9180-4b78-b145-1b6f665f2422 · inbound

MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning cites this paper.

MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:21:24.339054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-18T13:17:33.815644Z digest=sha256:fbc19d7099fa0f7919fe4a100f8ae79dc11a60e489f67395bd257e50f653bf16