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Paper Citation Record · LEDGER

Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.07527.

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

pith.paper-citation-record.v1
2307.07527 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:04:03.293571Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:40:29.202846Z

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 0999e1b9-85b8-436c-80f3-ae204eb601aa · inbound

Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics cites this paper.

Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:03.293571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:03.293571Z digest=sha256:8dba60a68e8ce500506dd058522b0ca4528923236d4099f409af8e30c5c39f38

Observation 579ea975-535a-4aae-acf4-88b806a6271d · inbound

X-TRACK: Physics-Aware xLSTM for Realistic Vehicle Trajectory Prediction cites this paper.

X-TRACK: Physics-Aware xLSTM for Realistic Vehicle Trajectory Prediction Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:40:29.206104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T07:37:13.961674Z digest=sha256:a7b63aa1fc864977ffc7907230a7d9dd24899218f4a462677c8df6385cf76994

Observation d664c7bc-5468-469f-886b-1129b91dde44 · inbound

Extended Field of View Analysis for VideoGAN-based Trajectory Generation cites this paper.

Extended Field of View Analysis for VideoGAN-based Trajectory Generation Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T09:55:30.424437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:55:30.424437Z digest=sha256:e35bf0e4a1a2239ebf49fb6fa47be0570fc2902bd7a4850418490bfb7ff55269