Paper Citation Record · LEDGER

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving

As of 6 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 2 inbound Pith citation observations for arXiv:2604.12656.

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

pith.paper-citation-record.v1
2604.12656 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:07:56.443377Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:40:59.110842Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T08:26:48.299110Z

Reference resolution

21 of 21 outbound references displayed

verified exact3
verified fuzzy2
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch11

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 95f6e170-435d-4254-a0b5-c9783d883c42 · outbound

This paper cites VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T11:11:03.330206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f52f1d09-7a38-4006-81be-57a1da4c160c · outbound

This paper cites limited.html.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving limited.html

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:30.657144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fa16677f-6ace-4b67-a332-94b8f7e79f2e · outbound

This paper cites an unresolved cited work.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-18T07:52:30.673483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dff472e2-9978-4593-93ce-6d983f860095 · outbound

This paper cites an unresolved cited work.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-18T07:52:30.676311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2d93c1be-e089-4202-8a50-c8214c91d4eb · outbound

This paper cites Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:24:24.181007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6aac7350-1577-4bf3-83f9-eb558f850235 · outbound

This paper cites AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:06:27.342141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bd25cd43-c8d1-4d2f-ad44-99679d7eb4bf · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , 1– 14doi:10.1109/TNNLS.2026.3674573.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving IEEE Transactions on Neural Networks and Learning Systems , 1– 14doi:10.1109/TNNLS.2026.3674573

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:10:31.083505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5375afb4-06ea-4fe0-b17f-e20995f113d2 · outbound

This paper cites an unresolved cited work.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-18T07:52:30.663554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9b29abf9-d70f-46f5-a0e0-48006226f9d3 · outbound

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

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving Back to Basics: Let Denoising Generative Models Denoise

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:16:43.095562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 17c6d159-c1fe-4ec9-a9bf-fdedbc802ce7 · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems , 1–13doi:10.1109/TITS.2026.3670584.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving IEEE Transactions on Intelligent Transportation Systems , 1–13doi:10.1109/TITS.2026.3670584

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:10:31.088627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8db83ab3-1e39-46af-ab27-5382c5514d52 · outbound

This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T23:13:55.802367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fafdc336-559f-4c62-bc50-c182772841f0 · outbound

This paper cites GPT-Driver: Learning to Drive with GPT.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving GPT-Driver: Learning to Drive with GPT

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:05:32.082062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 884927db-7dcc-4b82-9e9e-34a5a0bffdae · outbound

This paper cites Accessed: 2026-04-07.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving Accessed: 2026-04-07

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:30.667999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 44ccef03-7f8c-4ad1-a3c0-16c4e5a78ccd · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T11:11:03.394140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 035b6b90-4884-47cc-bb6b-6ff31e4d2cf7 · outbound

This paper cites Denoising Diffusion Implicit Models.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving Denoising Diffusion Implicit Models

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T11:11:03.383664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 41e09e0d-d505-49c5-aaee-b0b9fdbe74a9 · outbound

This paper cites IEEE Transactions on Industrial Electronics 73, 6097–6110.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving IEEE Transactions on Industrial Electronics 73, 6097–6110

Reference 16

Resolution: verified exact; doi, observed 2026-05-10T15:10:31.085828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8a0379b5-2f76-42e1-8b18-6ff60417cadb · outbound

This paper cites an unresolved cited work.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-18T07:52:30.670786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c840e445-9b62-4c82-9e24-b142eecaca23 · outbound

This paper cites OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:11:03.402993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 65b58995-ec9d-4026-881d-660fd718ed06 · outbound

This paper cites DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:11:03.425919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1c3260c6-7191-498e-b853-e90c557195ef · outbound

This paper cites an unresolved cited work.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-18T07:52:30.660683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 529007e9-682a-420f-8ff5-c3c0b52181f4 · outbound

This paper cites re- gions important for driving.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving re- gions important for driving

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:11:03.415530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 62b7a970-362d-4e83-9f9f-1a731803935e · inbound

D$^3$-MoE:Dual Disentangled Diffusion Mixture-of-Experts for Style-Controllable End-to-End Autonomous Driving cites this paper.

D$^3$-MoE:Dual Disentangled Diffusion Mixture-of-Experts for Style-Controllable End-to-End Autonomous Driving FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-02T08:26:48.300525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e37ee1ac-8a99-49d6-bfc3-f69c660864bd · inbound

WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA cites this paper.

WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:59.110842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.