Paper Citation Record · LEDGER

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2605.10388.

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

pith.paper-citation-record.v1
2605.10388 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:20:53.607116Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

33 of 33 outbound references displayed

verified exact11
verified fuzzy21
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f46a5976-eb32-49b7-b9d0-6ab7b35b7e28 · outbound

This paper cites Qwen2.5-VL Technical Report.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Qwen2.5-VL Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-12T04:21:19.593583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa5e3727-c921-46a4-90f2-23bf1cfad24e · outbound

This paper cites Nearly-tight vc- dimension and pseudodimension bounds for piecewise linear neural networks.Journal of Machine Learning Research, 20(63):1–17.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Nearly-tight vc- dimension and pseudodimension bounds for piecewise linear neural networks.Journal of Machine Learning Research, 20(63):1–17

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.633898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b54b6d46-5ca1-47e0-a5a7-90fced734d11 · outbound

This paper cites End to End Learning for Self-Driving Cars.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction End to End Learning for Self-Driving Cars

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:25:31.053820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2059eda4-0183-419a-a57d-614512e351f7 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction nuscenes: A multimodal dataset for autonomous driving

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.701892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81bf45b8-668c-4aef-837e-54d48c68d608 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:03:10.782904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 467b7e69-8d01-485e-9218-89a36a6ea05c · outbound

This paper cites IEEE Trans.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction IEEE Trans

Reference 6

Resolution: metadata mismatch; doi, observed 2026-05-12T04:21:19.586565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a7c7bd1-d7d0-4d18-a2ec-ea77b63cbeec · outbound

This paper cites Recent advancements in end-to-end autonomous driving using deep learning: A survey.IEEE Transactions on Intelligent V ehicles, 9(1):103–118.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Recent advancements in end-to-end autonomous driving using deep learning: A survey.IEEE Transactions on Intelligent V ehicles, 9(1):103–118

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.709827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7aa7e34e-8de0-407c-bdd8-05b89f5542c5 · outbound

This paper cites End-to-end driving via conditional imitation learning.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction End-to-end driving via conditional imitation learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.716879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 312f31a5-5c39-49af-b515-2b21116273a3 · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.685672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b41bbe1-a364-44d2-813a-07e08625f79e · outbound

This paper cites Slowfast networks for video recognition.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Slowfast networks for video recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.689739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a711617-c27a-489d-9497-9b842e71f58c · outbound

This paper cites Deep residual learning for image recognition.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Deep residual learning for image recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.697069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20b8890b-8d40-4705-8ba8-332a0091f467 · outbound

This paper cites Planning-oriented autonomous driving.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Planning-oriented autonomous driving

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.705580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c108fa5b-744b-4a76-8df7-a8c62791f1ae · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:08:55.028561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e166560-0b8a-4b0c-b09e-57ac6a391243 · outbound

This paper cites V AD: Vectorized scene representation for efficient autonomous driving.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction V AD: Vectorized scene representation for efficient autonomous driving

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.637800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d68dc52-9953-4f6e-a548-3abefee5f0bb · outbound

This paper cites Navigation-guided sparse scene representation for end-to-end autonomous driving.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Navigation-guided sparse scene representation for end-to-end autonomous driving

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.655649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6ed1cd6-2165-4a09-a958-222ade92b008 · outbound

This paper cites Back to Basics: Let Denoising Generative Models Denoise.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Back to Basics: Let Denoising Generative Models Denoise

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-12T04:21:21.958358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da0b3e51-3445-4a92-859c-f11b5f81c020 · outbound

This paper cites Pave: An end-to- end dataset for production autonomous vehicle evaluation.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Pave: An end-to- end dataset for production autonomous vehicle evaluation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:21:21.977374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86fc6f91-ea25-4669-a594-52641c05ac52 · outbound

This paper cites BEVFormer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction BEVFormer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.672800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8175085a-1f05-4b7f-8015-b9a71735ef56 · outbound

This paper cites Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.680927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac81c8df-f02a-43c5-9f43-3ee414077ef0 · outbound

This paper cites Feature pyramid networks for object detection.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Feature pyramid networks for object detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.668884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 822704d8-a1a7-47b3-9d71-fc6cd84b8221 · outbound

This paper cites e2edriver.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction e2edriver

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.664512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4cf3d96d-cb11-4403-b38f-6324e10c955d · outbound

This paper cites Efficient 3d video engine using frame redundancy.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Efficient 3d video engine using frame redundancy

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.650870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5566fc32-0c1f-4a61-a672-c5622c78ee8d · outbound

This paper cites On the spectral bias of neural networks.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction On the spectral bias of neural networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.660374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84f40cca-8b1d-47e3-8f35-cc089a9acf12 · outbound

This paper cites Rajendran, Murugan Sankaradas, Anand Raghunathan, and Srimat T.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Rajendran, Murugan Sankaradas, Anand Raghunathan, and Srimat T

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.676714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62fb527c-b586-470d-b385-8fa729641cdb · outbound

This paper cites SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:21:21.972087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0bfc385-2307-433a-af70-12cd1777331b · outbound

This paper cites Alvarez, Lei Zhang, and Zhiding Yu.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Alvarez, Lei Zhang, and Zhiding Yu

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:21:22.014523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 92a1279d-c6c0-4fa5-9d75-cc02ed1cddd7 · outbound

This paper cites Blaschko, Tinne Tuytelaars, and Minye Wu.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Blaschko, Tinne Tuytelaars, and Minye Wu

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.713406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b51edbd1-9710-496c-8832-8e3880645885 · outbound

This paper cites Wod-e2e: Waymo open dataset for end-to-end driving in challenging long-tail scenarios.arXiv preprint arXiv:2510.26125.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Wod-e2e: Waymo open dataset for end-to-end driving in challenging long-tail scenarios.arXiv preprint arXiv:2510.26125

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:21:21.992383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 447cc38d-d180-4e46-9f41-7d67d8a62833 · outbound

This paper cites Frequency principle: Fourier analysis sheds light on deep neural networks.Communications in Computational Physics, 28(5):1746–1767.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Frequency principle: Fourier analysis sheds light on deep neural networks.Communications in Computational Physics, 28(5):1746–1767

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.646884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37adc40a-0baa-4e6b-bc3c-14e700e7c2f6 · outbound

This paper cites Flow Fusion, Exploiting Measurement Redundancy for Smarter Allocation.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Flow Fusion, Exploiting Measurement Redundancy for Smarter Allocation

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:21:22.008522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be14c1d2-c0f5-4819-a2b4-4e59252de4fa · outbound

This paper cites Genad: Gen- erative end-to-end autonomous driving.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction Genad: Gen- erative end-to-end autonomous driving

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.642415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 363edd6a-2321-4bf2-adb4-08e35fa95e62 · outbound

This paper cites AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:46:44.401546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7d55ca6-1ed3-473e-ad47-cc1533f1c7f3 · outbound

This paper cites added driving-relevant information.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction added driving-relevant information

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T15:31:40.693453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.