Paper Citation Record · LEDGER

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2505.23129.

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

pith.paper-citation-record.v1
2505.23129 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:56:42.562812Z

measured 26 of 26 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

26 of 26 outbound references displayed

verified exact1
verified fuzzy16
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e56c1f10-320c-4c6f-a96e-cc7cbf0a7897 · outbound

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

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:40.990806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b61bd6e4-e618-472f-8c7f-173f390ae975 · outbound

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

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:41.031114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61ee043e-4d3f-4116-a989-b1acf3baf079 · outbound

This paper cites Lopez, and Adrien Gaidon.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Lopez, and Adrien Gaidon

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:44.959771Z

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 43965c37-9e2a-4944-aec8-0605df890ea8 · outbound

This paper cites Openscene: The largest up-to- date 3d occupancy prediction benchmark in autonomous driving.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Openscene: The largest up-to- date 3d occupancy prediction benchmark in autonomous driving

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:44.869024Z

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 8ba99cfa-571f-4990-b30e-df48d96de3f2 · outbound

This paper cites Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:44.720057Z

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 68921fb2-2d1f-497b-a3dd-d7dc7fe865f8 · outbound

This paper cites Hint-ad: Holistically aligned interpretability in end-to-end autonomous driving.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Hint-ad: Holistically aligned interpretability in end-to-end autonomous driving

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:44.623116Z

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 51c06b58-5c6b-43bd-9c1a-4fe476a59275 · outbound

This paper cites an unresolved cited work.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:56:44.464301Z

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 4a251604-e35a-402d-9b26-d337451da037 · outbound

This paper cites From semi-supervised to omni-supervised room layout esti- mation using point clouds.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring From semi-supervised to omni-supervised room layout esti- mation using point clouds

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:44.369732Z

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 a1a83491-c08a-4c00-a3af-e4c4288a171d · outbound

This paper cites Dqs3d: Densely-matched quantization- aware semi-supervised 3d detection.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Dqs3d: Densely-matched quantization- aware semi-supervised 3d detection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:44.218853Z

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 992d83ff-b30f-4e5a-ae07-e82fd73a0b80 · outbound

This paper cites YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:41.607891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6966ed7b-f8c6-4e8d-bdb0-bdc0a6ba0ba1 · outbound

This paper cites Deep residual learning for image recognition.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Deep residual learning for image recognition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:41.700504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc5df526-736b-4822-b5ff-0308190034a4 · outbound

This paper cites Planning-oriented autonomous driv- ing.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Planning-oriented autonomous driv- ing

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:44.095651Z

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 9872c0e8-139f-46bc-ab0e-6518640a05a1 · outbound

This paper cites Planning-oriented autonomous driv- ing.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Planning-oriented autonomous driv- ing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:43.948084Z

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 fcd3e0d2-85c6-4ac4-ae43-4ec16d20055a · outbound

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

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Vad: Vectorized scene representation for efficient autonomous driving

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:43.804388Z

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 ff7ecb40-9314-4a1f-9ebf-e108d4278be1 · outbound

This paper cites P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:56:42.765802Z

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 78993c30-4055-4b55-8947-076332808cd7 · outbound

This paper cites Learning to drive in a day.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Learning to drive in a day

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:43.678058Z

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 d30ad177-a1a3-433f-86f9-83b00e1e3477 · outbound

This paper cites Training-Free Model Merging for Multi-target Domain Adaptation.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Training-Free Model Merging for Multi-target Domain Adaptation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:42.027971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47547eea-f421-4a95-a617-a9b4c220149a · outbound

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

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:42.065305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67f6a92f-db3d-46f2-82db-46c3f378f1d0 · outbound

This paper cites Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:43.588456Z

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 efe9c5d3-be8d-4bbe-82fe-14344f57a76f · outbound

This paper cites DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:42.237836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b78f4d29-d130-4d38-9349-7ebf2a083f6d · outbound

This paper cites Multi- modal fusion transformer for end-to-end autonomous driv- ing.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Multi- modal fusion transformer for end-to-end autonomous driv- ing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:43.428973Z

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 5c15c721-8ca2-46a4-b9c7-1ef12511e5df · outbound

This paper cites Centaur: Robust End-to-End Autonomous Driving with Test-Time Training.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:42.328881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0132fa64-bf9d-443f-8863-20b5143aa064 · outbound

This paper cites Unsupervised road anomaly de- tection with language anchors.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Unsupervised road anomaly de- tection with language anchors

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:43.319142Z

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 a5189347-9c51-4b3b-b418-619746e9fc15 · outbound

This paper cites Autonomous ve- hicle motion planning via recurrent spline optimization.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Autonomous ve- hicle motion planning via recurrent spline optimization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:43.209551Z

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 62eff842-5e55-4ed8-ae35-abbed5d864e8 · outbound

This paper cites End-to-end urban driving by imitat- ing a reinforcement learning coach.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring End-to-end urban driving by imitat- ing a reinforcement learning coach

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:43.070770Z

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 c3ab655a-c4d8-4891-b1ec-e2afc73d33fa · outbound

This paper cites Steps: Joint self-supervised nighttime image enhancement and depth estimation.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring Steps: Joint self-supervised nighttime image enhancement and depth estimation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:56:42.979173Z

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.