Paper Citation Record · LEDGER

TNT: Target-driveN Trajectory Prediction

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2008.08294.

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

pith.paper-citation-record.v1
2008.08294 v2

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:04:04.354061Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:18:32.368604Z

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 d8f7bd27-653c-49df-8136-4fb92c940b0e · inbound

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections cites this paper.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections TNT: Target-driveN Trajectory Prediction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:00.129822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1209f8a6-8999-4e3d-a08b-5f87d9cee973 · inbound

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

Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics TNT: Target-driveN Trajectory Prediction

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:04:04.354061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42429821-ae29-4de1-b089-6cf453b50753 · inbound

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections cites this paper.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections TNT: Target-driveN Trajectory Prediction

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:13.523673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0e56f0f-7fd1-4e66-8763-b9935ee309dd · inbound

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications cites this paper.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications TNT: Target-driveN Trajectory Prediction

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:32.371328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.