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Paper Citation Record · LEDGER

LG-Traj: LLM Guided Pedestrian Trajectory Prediction

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.08032.

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

pith.paper-citation-record.v1
2403.08032 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:34:54.002266Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:34:40.907158Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 7abb7343-3870-4866-8994-56187da0f658 · inbound

Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction cites this paper.

Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction LG-Traj: LLM Guided Pedestrian Trajectory Prediction

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T23:34:54.002266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:34:54.002266Z digest=sha256:c51a33fea73afcd822e077c7cebda0a153114f1650b8fc29afb2e26290b086c0

Observation 12f847fa-6b4e-4b80-a777-d71e033a6f06 · inbound

Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations cites this paper.

Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations LG-Traj: LLM Guided Pedestrian Trajectory Prediction

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T23:29:35.187997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:29:35.187997Z digest=sha256:13e73f7ef9647abb1402e7deeec37cf0071a9030bc3be4ff6c2241a89d215f9f

Observation 98bf4d58-4096-4c8d-9007-5576a0f2b0e4 · inbound

TrajLearn: Trajectory Prediction Learning using Deep Generative Models cites this paper.

TrajLearn: Trajectory Prediction Learning using Deep Generative Models LG-Traj: LLM Guided Pedestrian Trajectory Prediction

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T23:02:09.795137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:02:09.795137Z digest=sha256:8910ed4cd7030bc39c40846057a371769feb04e45469dbc41525c315f13d95db

Observation 06728445-609f-46a8-b6d1-863be25934a6 · 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 LG-Traj: LLM Guided Pedestrian Trajectory Prediction

Reference 191

Resolution
unresolved
no resolver link, observed 2026-08-10T21:37:04.987965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:37:04.987965Z digest=sha256:80f003abe10e51efde799a4c729bc61af70a74afdeb1c6b6d3dc2a69faad82da

Observation 6ce8380e-54ab-4ea7-b74f-695d0ab3f500 · inbound

Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving cites this paper.

Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving LG-Traj: LLM Guided Pedestrian Trajectory Prediction

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T20:58:22.725193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:58:22.725193Z digest=sha256:3cdff6dd7e7e4acb622b5af4149968ad772cea44f05e2a81f6b413df7cbe8087

Observation 06ff98d6-1fed-433d-bd52-3b6c4eaf0f4d · inbound

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey cites this paper.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey LG-Traj: LLM Guided Pedestrian Trajectory Prediction

Reference 116

Resolution
unresolved
no resolver link, observed 2026-08-04T19:19:25.856019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:19:25.856019Z digest=sha256:3e6a419edd1f9810409e37e10d66673cdbc9d7c973dad668d772f07e2fef70a0

Observation c2ca5dcc-81f4-4f1e-b5f2-641fd9cf0401 · 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 LG-Traj: LLM Guided Pedestrian Trajectory Prediction

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:21:24.343062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-18T13:17:33.815644Z digest=sha256:ae56b2a27e7c4435f723517bea6c02f03fd9d11698bb2de8e45df151ad33bea6

Observation fef45fb6-4844-449e-aac1-337858a89b95 · inbound

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach cites this paper.

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach LG-Traj: LLM Guided Pedestrian Trajectory Prediction

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T16:52:50.960278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:52:50.960278Z digest=sha256:8544dc15b2324072bcdb5da3ff3a054e6d201af5078d586179b0c70848739d82

Observation 870ca4fd-73ce-4cb8-975e-7635ef56a05d · inbound

Encore: Conditioning Trajectory Forecasting via Biased Ego Rehearsals cites this paper.

Encore: Conditioning Trajectory Forecasting via Biased Ego Rehearsals LG-Traj: LLM Guided Pedestrian Trajectory Prediction

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:22:01.357308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T01:21:42.961429Z digest=sha256:2f95d0b9f1a688ef64f74a13cde3009dc0f94543b8085e1b12530f539b65f6b3

Observation e773c088-6c30-45c6-9316-c94b8d3c01f2 · inbound

PEDESTRIANQA: A Benchmark for Vision-Language Models on Pedestrian Intention and Trajectory Prediction cites this paper.

PEDESTRIANQA: A Benchmark for Vision-Language Models on Pedestrian Intention and Trajectory Prediction LG-Traj: LLM Guided Pedestrian Trajectory Prediction

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:34:40.908998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T13:25:04.053283Z digest=sha256:6f64437faad30bace09bc3926d4fdbf81f8617adf92f86f23ba4da679694dd93