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Paper Citation Record · LEDGER

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness

As of 11 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2501.15842.

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

pith.paper-citation-record.v1
2501.15842 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:56:59.375071Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 314f82bf-217e-4789-901f-815cdc3d2b92 · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting,.

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness Argoverse 2: Next generation datasets for self-driving perception and forecasting,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:56:59.474313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:56:59.346868Z digest=sha256:683231ab542526f1535b18720798ff1cb200a93b34481cb392b9171f87d44317

Observation 0ae989b1-5a7e-4ee2-8099-9f02f1fd4f6c · outbound

This paper cites Large scale interactive motion forecasting for autono- mous driving: The waymo open motion dataset,.

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness Large scale interactive motion forecasting for autono- mous driving: The waymo open motion dataset,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:56:59.466906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:56:59.350069Z digest=sha256:d9056a32659faeb91654f604fdf219ab68361dee960ee71f753223ac7c8bfd97

Observation f58a0b2c-69a4-4dc3-976a-a001e4bb1417 · outbound

This paper cites Improving out-of- distribution generalization of trajectory prediction for autonomous driving via poly- nomial representations,.

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness Improving out-of- distribution generalization of trajectory prediction for autonomous driving via poly- nomial representations,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:56:59.459750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:56:59.352664Z digest=sha256:f39b18a92b5940f25f40cf416212ff77caf3d8d370ee7f58db07f6f7a64df43a

Observation 60ce8370-d527-4e80-bbdd-abfcc7a5d18c · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness Deep Learning Scaling is Predictable, Empirically

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T13:56:59.355572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:56:59.355572Z digest=sha256:fc5149be3ea9bcaacef42b3a447286f20588f04b012c215a2e34048ee86751c5

Observation b54de30e-7432-4475-853d-6f523d2f94af · outbound

This paper cites FMAE-noAug.

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness FMAE-noAug

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:56:59.482646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:56:59.342827Z digest=sha256:5a64e6e4ff05f77b5a758f9fa980c8728d4858228f2c48c78a4262f3f023cffd

Observation 23e9d651-a92d-45de-b595-e4122a0518ee · outbound

This paper cites Forecast-mae: Self-supervised pre-training for motion forecasting with masked autoencoders,.

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness Forecast-mae: Self-supervised pre-training for motion forecasting with masked autoencoders,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:56:59.452088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:56:59.358685Z digest=sha256:dda5a5e1b3122e50da4c9757e36f9a21b6a2bf6dec246895dffe9f993c80b46f

Observation 04d6b348-26fc-402e-ac00-236bba32b5ae · outbound

This paper cites Query-centric trajectory predicti- on,.

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness Query-centric trajectory predicti- on,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:56:59.443052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:56:59.361096Z digest=sha256:81633a19b7a347249f2986b255d87f374ca8b2468a0bb63b5d9c942b062b3047

Observation efac8f5c-2531-4fea-966b-e3fe2b43ed97 · outbound

This paper cites PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving.

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T13:56:59.363677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:56:59.363677Z digest=sha256:7060bdf208101db6dfb3efd37b4e6900cba6586b46267179ed75bbb3acd8e780

Observation d959e3dd-6946-4a36-bf09-45c712f64ecb · outbound

This paper cites Temporally-continuous probabilistic prediction using polynomial trajectory para- meterization,.

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness Temporally-continuous probabilistic prediction using polynomial trajectory para- meterization,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:56:59.435655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:56:59.366335Z digest=sha256:7910f498c57795b91e1aa02292a5f845c54a0483f7e0f30efb5357141c8a9158

Observation 473fb4d6-00ac-45be-9dec-87ace92eeb95 · outbound

This paper cites Trajectories as markov-states for long term traffic scene prediction,.

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness Trajectories as markov-states for long term traffic scene prediction,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:56:59.427616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:56:59.368715Z digest=sha256:6c5f55c9123eb100b57688c0f4bd5816b53156b8ced3790900dfbdd7744ee1b5

Observation 09ba4eb0-e811-4e85-bf43-78cadfbb777f · outbound

This paper cites Unitraj: A unified framework for scalable vehicle trajectory prediction,.

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness Unitraj: A unified framework for scalable vehicle trajectory prediction,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:56:59.420428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:56:59.371049Z digest=sha256:05adb1dd1c82f3de5a3e11473da0c40739cff5856f0a2d57a859dafdcd436d6b

Observation 71b6e920-122a-4ffa-b43b-35a48b949a3c · outbound

This paper cites An empirical bayes analysis of object tra- jectory representation models,.

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness An empirical bayes analysis of object tra- jectory representation models,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:56:59.411204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:56:59.375071Z digest=sha256:c2e2b2ea8cb2a5f3a9d9dfd2c632f5898475783820400a5e9056629738588540

Pith citing papers

No inbound Pith citation observations are available.