Paper Citation Record · LEDGER

Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2503.12030.

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

pith.paper-citation-record.v1
2503.12030 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:23:31.891381Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:27:25.523697Z

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 9a9065fc-a66c-41be-9c49-8bea633dd02e · inbound

Scaling Laws of Motion Forecasting and Planning -- Technical Report cites this paper.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:23:31.891381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a0f5c6b-f6b4-489f-94eb-27489620bce9 · inbound

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving cites this paper.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T04:46:48.730479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b89703e-7a74-4681-999c-621d02dbabac · inbound

DeMo++: Motion Decoupling for Autonomous Driving cites this paper.

DeMo++: Motion Decoupling for Autonomous Driving Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-06T14:55:03.279007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04ccf616-a202-4d59-a477-2c625360ab70 · inbound

SimScale: Learning to Drive via Real-World Simulation at Scale cites this paper.

SimScale: Learning to Drive via Real-World Simulation at Scale Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:34:01.930912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2201ef01-cde2-4426-a643-4ae987ad9b4e · inbound

AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving cites this paper.

AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T18:41:11.158791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8482e5a5-ff98-43fa-bc06-8ffdc2e9f1bf · inbound

AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving cites this paper.

AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T12:48:35.354487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d723d4e5-4566-4feb-9d96-b398d4f2b597 · inbound

Do Open-Loop Metrics Predict Closed-Loop Driving? A Cross-Benchmark Correlation Study of NAVSIM and Bench2Drive cites this paper.

Do Open-Loop Metrics Predict Closed-Loop Driving? A Cross-Benchmark Correlation Study of NAVSIM and Bench2Drive Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:51:14.414828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5a1e698d-2e04-442f-ac6f-afa36338e1af · inbound

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling cites this paper.

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:27:35.471429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b69cf589-1504-455b-8407-69491925f027 · inbound

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling cites this paper.

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:59:01.810741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4309b53e-c866-4cdd-a375-4bdb2f66ea5d · inbound

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation cites this paper.

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:14:45.829022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ad4c735b-01d0-4400-9b14-812b756e6b84 · inbound

DriveReward: A Comprehensive Dataset and Generative Vision-Language Reward Model for Autonomous Driving cites this paper.

DriveReward: A Comprehensive Dataset and Generative Vision-Language Reward Model for Autonomous Driving Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:27:25.525300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0d0f6d2a-8f22-4c3d-b38f-33422cb3d0b5 · inbound

DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous Driving cites this paper.

DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous Driving Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:07:04.083413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.