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Paper Citation Record · LEDGER

SEPT: Towards Efficient Scene Representation Learning for Motion Prediction

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.15289.

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

pith.paper-citation-record.v1
2309.15289 v4

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 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:31:12.037062Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:27:45.566602Z

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 40789518-260b-427e-8d2f-7ff97f0d7613 · inbound

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting cites this paper.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting SEPT: Towards Efficient Scene Representation Learning for Motion Prediction

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T21:31:12.037062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:31:12.037062Z digest=sha256:51c2bc5a74f26e2af63aa4cec1f9364dfb8e811cd947d0f562abcac5a4e3da78

Observation 6492b2ae-ad8c-4a1c-af2b-367e1570fc96 · inbound

Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions cites this paper.

Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions SEPT: Towards Efficient Scene Representation Learning for Motion Prediction

Reference 203

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:42:23.380720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T01:37:26.696464Z digest=sha256:d2d46ca76aa1e8607c0b0c46234bc6c085138d5bbcd6e8bc8a47820a6c4fb509

Observation e7571dc8-fa5e-48cb-b5b1-021513b5c070 · inbound

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction cites this paper.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction SEPT: Towards Efficient Scene Representation Learning for Motion Prediction

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T22:40:12.191325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:40:12.191325Z digest=sha256:f10af73b7882e66af26a69db534f43d6d2d7f69f5b5b6883d44fc2db89c5337f

Observation a281f951-9835-44ce-b30a-6225b896cfc9 · inbound

Goal-Oriented Reactive Simulation for Closed-Loop Trajectory Prediction cites this paper.

Goal-Oriented Reactive Simulation for Closed-Loop Trajectory Prediction SEPT: Towards Efficient Scene Representation Learning for Motion Prediction

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:58:26.201653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T00:55:01.446865Z digest=sha256:c3cf18db0f7a41eb6eb19ccb5d05de5a778a984234eacd16c70f010defd705bc

Observation c7527d8b-caa3-4110-a8bf-4082e7ff4af7 · inbound

IMR: Iterative Mode-World Weighted Regression for Multi-Agent Trajectory Prediction cites this paper.

IMR: Iterative Mode-World Weighted Regression for Multi-Agent Trajectory Prediction SEPT: Towards Efficient Scene Representation Learning for Motion Prediction

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-11T03:27:45.585522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-11T03:25:55.830270Z digest=sha256:aff2cd3b96776a948c8e2ff21564d19c2b5a4bc94c1812a3dbbbb4f594b49599