Paper Citation Record · LEDGER

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 3 inbound Pith citation observations for arXiv:2507.23657.

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

pith.paper-citation-record.v1
2507.23657 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:33:10.932127Z

measured 20 of 20 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:30:35.054988Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:33:27.958848Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy11
unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7afcf6eb-4f2a-42b0-9929-21cfe9f73048 · outbound

This paper cites IEEE Robotics and Automation Letters, 6(2): 295–302.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction IEEE Robotics and Automation Letters, 6(2): 295–302

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:33:11.139426Z

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.

Observation 27fcde60-a6da-4bd9-bceb-399f97b54ea8 · outbound

This paper cites In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 14424–14432.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 14424–14432

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:33:11.128253Z

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.

Observation 4df5c8be-24a4-4765-9da6-9153e261dbb1 · outbound

This paper cites InComputer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23– 28, 2020, Proceedings, Part XVIII 16, 683–700.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction InComputer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23– 28, 2020, Proceedings, Part XVIII 16, 683–700

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:33:11.091307Z

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.

Observation 9c7bc517-f154-47a7-b2c2-c475234d030f · outbound

This paper cites SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model

Reference 289

Resolution: unresolved; no resolver link, observed 2026-08-06T10:33:10.873664Z

Source-reported events for the cited work

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Observation 40110f79-c7b5-44b6-a7e7-87b947fba6dc · outbound

This paper cites 3, 5, 11, 12 Rudenko, A.; Palmieri, L.; Herman, M.; Kitani, K.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction 3, 5, 11, 12 Rudenko, A.; Palmieri, L.; Herman, M.; Kitani, K

Reference 565

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:33:11.104320Z

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.

Observation b649409f-e49f-432b-a59b-2b6bc3267af5 · outbound

This paper cites 2 Caesar, H.; Bankiti, V .; Lang, A.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction 2 Caesar, H.; Bankiti, V .; Lang, A

Reference 1805

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:33:11.162310Z

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.

Observation 6fa21986-c55d-4a16-9f70-4d5183e771ba · outbound

This paper cites 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:33:11.151249Z

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.

Observation 7e401d54-2b94-4570-a031-087e4fce2396 · outbound

This paper cites % % % % JRDB-Pose (Vendrow et al. 2023) R 2.5 9 12 1.1h.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction % % % % JRDB-Pose (Vendrow et al. 2023) R 2.5 9 12 1.1h

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:33:11.036507Z

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.

Observation 36671cb5-e880-4dfc-b02a-9a537567f56a · outbound

This paper cites In Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Nether- lands, October 11-14, 2016, Proceedings, Part VIII 14, 549–.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction In Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Nether- lands, October 11-14, 2016, Proceedings, Part VIII 14, 549–

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:33:11.116795Z

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.

Observation 1434b1f8-2934-4dd6-9808-cf94f5e8eb37 · outbound

This paper cites In 2018 IEEE International Con- ference on Robotics and Automation (ICRA) , 3399–3406.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction In 2018 IEEE International Con- ference on Robotics and Automation (ICRA) , 3399–3406

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:33:11.078603Z

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.

Observation 18c58c9c-ace3-4ecb-ab02-7494f071e445 · outbound

This paper cites Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World

Reference 2020

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T10:33:11.014287Z

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.

Observation 6e4850b2-5e24-452d-98f0-73f701d80229 · outbound

This paper cites Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T10:33:10.886582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deae2271-27cf-4122-97b4-741357b0c1d5 · outbound

This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 6467–.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 6467–

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:33:11.060809Z

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.

Observation 526c6a7d-60bf-4fff-bcb9-11eb25f5c216 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction Adam: A Method for Stochastic Optimization

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T10:33:10.897168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d792e6-e41f-43ad-9ba6-40a7433b5484 · outbound

This paper cites 2013), AMASS (Mahmood et al.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction 2013), AMASS (Mahmood et al

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:33:11.049676Z

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.

Observation 076befb6-436d-4b3d-a86a-97d625156638 · outbound

This paper cites Unified Human Localization and Trajectory Prediction with Monocular Vision.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction Unified Human Localization and Trajectory Prediction with Monocular Vision

Reference 3920

Resolution: unresolved; no resolver link, observed 2026-08-06T10:33:10.901037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 506413bb-2e4a-4d79-9440-44a309ae3452 · outbound

This paper cites Scalability in Perception for Autonomous Driving: Waymo Open Dataset.

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 6476

Resolution: unresolved; no resolver link, observed 2026-08-06T10:33:10.924766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0a6651fd-57da-47c8-aa4f-ef93d751b4ba · inbound

EggHand: A Multimodal Foundation Model for Egocentric Hand Pose Forecasting cites this paper.

EggHand: A Multimodal Foundation Model for Egocentric Hand Pose Forecasting OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:50:57.678683Z

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.

Observation 0fc6b4f3-87a6-4312-9f4c-97309afbd3d3 · inbound

Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models cites this paper.

Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:22:37.432413Z

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.

Observation 8552db81-6e09-4fca-96f4-49e117027c9c · inbound

Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation cites this paper.

Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:33:27.960545Z

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.