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Paper Citation Record · LEDGER

Training Trajectory Predictors Without Ground-Truth Data

As of 11 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2502.08957.

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

pith.paper-citation-record.v1
2502.08957 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:08:27.888113Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T18:59:44.412462Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T19:02:50.414609Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy28
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 664f90bd-80ff-4c0c-a493-539960320629 · outbound

This paper cites Salzmann, B.

Training Trajectory Predictors Without Ground-Truth Data Salzmann, B

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 393e1cc4-bdd2-4fb6-99d5-81c9876c624c · outbound

This paper cites Motion planning in dynamic environments using context-aware human trajectory prediction,.

Training Trajectory Predictors Without Ground-Truth Data Motion planning in dynamic environments using context-aware human trajectory prediction,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 90878fac-4210-4a4d-add5-ca1112554289 · outbound

This paper cites Is it safe to drive? an overview of factors, metrics, and datasets for driveability assessment in autonomous driving,.

Training Trajectory Predictors Without Ground-Truth Data Is it safe to drive? an overview of factors, metrics, and datasets for driveability assessment in autonomous driving,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 935741bd-aa00-48c9-8fc4-7f3b647eb080 · outbound

This paper cites A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook,.

Training Trajectory Predictors Without Ground-Truth Data A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation dddf274a-ef6a-4e14-869a-d3ff097c1aee · outbound

This paper cites A survey of autonomous driving: Common practices and emerging technologies,.

Training Trajectory Predictors Without Ground-Truth Data A survey of autonomous driving: Common practices and emerging technologies,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a8a511e6-ab69-427a-a418-5894b44c233f · outbound

This paper cites Trajectory data mining: an overview,.

Training Trajectory Predictors Without Ground-Truth Data Trajectory data mining: an overview,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5dd8e35c-b718-4674-a431-9dfd7bb7ae87 · outbound

This paper cites Dynosam: Open-source smoothing and mapping framework for dynamic slam,.

Training Trajectory Predictors Without Ground-Truth Data Dynosam: Open-source smoothing and mapping framework for dynamic slam,

Reference 7

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8cf26885-c9ea-4d6d-b68f-75d1e1f66ba7 · outbound

This paper cites Multimotion Visual Odometry (MVO),.

Training Trajectory Predictors Without Ground-Truth Data Multimotion Visual Odometry (MVO),

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation af5effc9-9184-42c4-a94c-04c59a4510b4 · outbound

This paper cites Gonzalez, E.

Training Trajectory Predictors Without Ground-Truth Data Gonzalez, E

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c8f83009-bd00-44b9-a3a9-a049d823ece7 · outbound

This paper cites Nicholson, M.

Training Trajectory Predictors Without Ground-Truth Data Nicholson, M

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f38baccc-ddf1-41d7-9fb1-9fe673f9b701 · outbound

This paper cites Dy- naquadric: Dynamic quadric slam for quadric initialization, mapping, and tracking,.

Training Trajectory Predictors Without Ground-Truth Data Dy- naquadric: Dynamic quadric slam for quadric initialization, mapping, and tracking,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 297eb277-c3a3-4428-aefd-b9764dc9ac1a · outbound

This paper cites Morris, Y.

Training Trajectory Predictors Without Ground-Truth Data Morris, Y

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 163cb69a-066a-45d9-8cc7-ec5a2a19fb96 · outbound

This paper cites Twistslam: Constrained slam in dynamic environment,.

Training Trajectory Predictors Without Ground-Truth Data Twistslam: Constrained slam in dynamic environment,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fb00b685-9ac2-4a36-83cd-267aae14845b · outbound

This paper cites A survey on trajectory-prediction methods for autonomous driving,.

Training Trajectory Predictors Without Ground-Truth Data A survey on trajectory-prediction methods for autonomous driving,

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2e289c10-14b5-4e64-adf1-423cb1f8525d · outbound

This paper cites Review of pedestrian trajectory prediction methods: Comparing deep learning and knowledge-based approaches,.

Training Trajectory Predictors Without Ground-Truth Data Review of pedestrian trajectory prediction methods: Comparing deep learning and knowledge-based approaches,

Reference 15

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raw_fallback, observed 2026-08-07T23:08:29.164321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8725302f-0be8-49be-8811-209f81b3cdb5 · outbound

This paper cites Exploring tra- jectory prediction through machine learning methods,.

Training Trajectory Predictors Without Ground-Truth Data Exploring tra- jectory prediction through machine learning methods,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5fe285cf-0915-4b38-8222-1cdf0f352acc · outbound

This paper cites Deep learning-based vehicle behavior prediction for autonomous driving applications: A review,.

Training Trajectory Predictors Without Ground-Truth Data Deep learning-based vehicle behavior prediction for autonomous driving applications: A review,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 90f1ecfd-4d76-45c0-9a4b-f00095f43ecc · outbound

This paper cites an unresolved cited work.

Training Trajectory Predictors Without Ground-Truth Data Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 19889483-7b57-4f54-ac4d-c693aec0d56d · outbound

This paper cites Gupta, J.

Training Trajectory Predictors Without Ground-Truth Data Gupta, J

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8709c710-0791-45e8-af9f-62de3b46606e · outbound

This paper cites an unresolved cited work.

Training Trajectory Predictors Without Ground-Truth Data Unresolved cited work

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 465a540f-176d-402e-b3a8-8e73814234bd · outbound

This paper cites Sch ¨afer, K.

Training Trajectory Predictors Without Ground-Truth Data Sch ¨afer, K

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2922ed54-be6c-4543-8603-25cc3fd9c22f · outbound

This paper cites an unresolved cited work.

Training Trajectory Predictors Without Ground-Truth Data Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a83974c7-8467-4228-a4fd-11d560a086b5 · outbound

This paper cites Ivanovic, J.

Training Trajectory Predictors Without Ground-Truth Data Ivanovic, J

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 224ef5a8-5c50-4896-89d8-f2d1a00ebda7 · outbound

This paper cites Sce- narionet: Open-source platform for large-scale traffic scenario simulation and modeling,.

Training Trajectory Predictors Without Ground-Truth Data Sce- narionet: Open-source platform for large-scale traffic scenario simulation and modeling,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ecab98af-1131-4d95-ac7f-5223326fcc98 · outbound

This paper cites borglab/gtsam,.

Training Trajectory Predictors Without Ground-Truth Data borglab/gtsam,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a2a9097c-0060-409f-aabd-acf3cacbe09a · outbound

This paper cites Ultralytics YOLO,.

Training Trajectory Predictors Without Ground-Truth Data Ultralytics YOLO,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:08:28.453823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 98a5352a-3d83-4435-a0e1-fad161979ca2 · outbound

This paper cites Teed and J.

Training Trajectory Predictors Without Ground-Truth Data Teed and J

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:08:28.280147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T23:08:27.751992Z digest=sha256:270cb4a2ecce4500164f325c1dda7a8186dd20943e2eef5e0cb45686f98a79fc

Observation 8308ed59-d0c8-49c1-b965-2a97c50b5677 · outbound

This paper cites Zhang, M.

Training Trajectory Predictors Without Ground-Truth Data Zhang, M

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0067a394-d848-469b-b9ab-d3989484b63b · outbound

This paper cites Zhang, P.

Training Trajectory Predictors Without Ground-Truth Data Zhang, P

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:08:28.185918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 94ef75f7-270c-416c-9817-5f1870b9bfad · outbound

This paper cites VDO-SLAM: A Visual Dynamic Object-aware SLAM System.

Training Trajectory Predictors Without Ground-Truth Data VDO-SLAM: A Visual Dynamic Object-aware SLAM System

Reference 30

Resolution
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no resolver link, observed 2026-08-07T23:08:27.872773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 15e54c4d-15fb-4522-8003-b7ea232975dc · outbound

This paper cites Better unicycle models,.

Training Trajectory Predictors Without Ground-Truth Data Better unicycle models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:08:28.168657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 849ca3c9-bf49-4916-be4f-2f6d173cf24e · outbound

This paper cites Dynamo-depth: fixing unsupervised depth estimation for dynamical scenes,.

Training Trajectory Predictors Without Ground-Truth Data Dynamo-depth: fixing unsupervised depth estimation for dynamical scenes,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:08:28.150255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0563c332-a80c-4318-b5d2-d5d429dd9542 · outbound

This paper cites Sturm, N.

Training Trajectory Predictors Without Ground-Truth Data Sturm, N

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:08:28.132408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T23:08:27.888113Z digest=sha256:702cc7fc95733c5bbcea45fed5aaf761121d0ae9906b86019b20dd29df8418ab

Pith citing papers

Observation 723ebf64-65fc-4aa0-9b69-176240591870 · inbound

DynoJEPP: Joint Estimation, Prediction and Planning in Dynamic Environments cites this paper.

DynoJEPP: Joint Estimation, Prediction and Planning in Dynamic Environments Training Trajectory Predictors Without Ground-Truth Data

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:02:50.419709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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