Paper Citation Record · LEDGER

Learning Cooperative Trajectory Representations for Motion Forecasting

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.00371.

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

pith.paper-citation-record.v1
2311.00371 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:36:24.284540Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:41:08.849038Z

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 78a28cc6-c055-4473-add0-94726026977e · inbound

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation cites this paper.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Learning Cooperative Trajectory Representations for Motion Forecasting

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:38.143692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ef610d4-0581-453f-bb71-25d763e0e6d2 · inbound

V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction cites this paper.

V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction Learning Cooperative Trajectory Representations for Motion Forecasting

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T00:59:47.670634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b2ef09f-6ecc-40ec-af55-053035b94339 · inbound

CooperRisk: A Driving Risk Quantification Pipeline with Multi-Agent Cooperative Perception and Prediction cites this paper.

CooperRisk: A Driving Risk Quantification Pipeline with Multi-Agent Cooperative Perception and Prediction Learning Cooperative Trajectory Representations for Motion Forecasting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:36:24.284540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef5d4325-fed3-4c3b-a394-2d73da352017 · inbound

CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting cites this paper.

CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting Learning Cooperative Trajectory Representations for Motion Forecasting

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T14:36:33.400116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a99afeda-78aa-4a77-9bfb-a79f796c43fe · inbound

Collaborative Trajectory Prediction via Late Fusion cites this paper.

Collaborative Trajectory Prediction via Late Fusion Learning Cooperative Trajectory Representations for Motion Forecasting

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:41:08.850871Z

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.