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Paper Citation Record · LEDGER

Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2503.12820.

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

pith.paper-citation-record.v1
2503.12820 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 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 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:06.722198Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:08.088137Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • 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 aec3edde-efa1-441b-97a9-d50074fbefea · inbound

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy cites this paper.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:06.722198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:06.722198Z digest=sha256:3ab257a8e6897551ff40fce16af73ac619678f8b0160b930c4ba34f14f6d9808

Observation 5301f6ca-93b6-4463-a443-48b0485dd976 · inbound

Generalized Trajectory Scoring for End-to-end Multimodal Planning cites this paper.

Generalized Trajectory Scoring for End-to-end Multimodal Planning Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:18.025182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:18.025182Z digest=sha256:e52c27796b166c44048148e4666101ddc197334cbd2668135c53086f3956415f

Observation 1856e0f3-cfd2-418f-a3cb-4ca22a56f0f7 · inbound

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving cites this paper.

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T20:04:10.849587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:04:10.849587Z digest=sha256:f3ed9f77517d62dc09bd1f1586423cc8b41ffc5709923774fe091b4b30b0df85

Observation aedd9cf3-152e-4307-80ab-dd0c1a6981f3 · inbound

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

DeMo++: Motion Decoupling for Autonomous Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:03.266426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:03.266426Z digest=sha256:ad2f3609f616a01a433305316b157f4ab3258a88f398b69053a9710aa65757b7

Observation 6dfb8c1d-f7d3-417a-aae2-c5285ae6b0ca · 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-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:34:01.874972Z

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.

source=pdf_text observed=2026-05-17T04:33:03.629533Z digest=sha256:8e47ae7e0ba215b949321d08c025680eab4bbe217a5392c350b6728e6713cc5d

Observation faf04377-9739-4250-b404-5bfeeda3bc66 · inbound

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers cites this paper.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T06:42:10.255843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:42:10.255843Z digest=sha256:6cb535542b6c6944e29445c15ec9e5434dba43b53a506393cc9657962fad9cb0

Observation 8b89e1fb-faa6-4f7c-b7cc-cf12a35c8371 · inbound

Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving cites this paper.

Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-03T06:48:15.020413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:48:15.020413Z digest=sha256:55ba70ca668967fba607340050e7e07b95a7a64a23c0bfb9c3e8b98865ad3cea

Observation 15feabfe-8757-42fd-aa1e-47c41068146d · inbound

UniUncer: Unified Dynamic Static Uncertainty for End to End Driving cites this paper.

UniUncer: Unified Dynamic Static Uncertainty for End to End Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:50:04.566390Z

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.

source=pdf_text observed=2026-05-15T14:47:51.442888Z digest=sha256:19aa6f6c40bcd790afe3eefc416ca9066d8112bf9c77fe3e42ef885199dfb5a9

Observation 13654d63-adb6-4133-9a2d-2273c0cc9d19 · inbound

EvoDriveVLA: Evolving Driving VLA Models via Collaborative Perception-Planning Distillation cites this paper.

EvoDriveVLA: Evolving Driving VLA Models via Collaborative Perception-Planning Distillation Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:15:54.618817Z

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.

source=pdf_text observed=2026-05-15T14:14:45.982490Z digest=sha256:b77525020a80a896938a821dd791900dcdbe0650ee614a2d2134d5278c3909b7

Observation 4043f313-0315-4de0-82cb-c007430c11a4 · inbound

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale cites this paper.

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:03:25.193231Z

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.

source=pdf_text observed=2026-05-13T22:59:57.744015Z digest=sha256:2f211077044bdfa0f438a180707cdae556bce8a1114a967691d2b524406c79a9

Observation 0607314f-75ef-40b4-9e5b-2f9a28eca3e1 · inbound

ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving cites this paper.

ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T20:53:15.559245Z

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.

source=pdf_text observed=2026-05-13T20:52:25.139770Z digest=sha256:f2d4ea3ab431a7a635cc1a17c43f576e1189e6187e1712276114d811c1a087a5

Observation 79aa03a1-6037-4081-a271-f4e14d5fa0cf · inbound

HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving cites this paper.

HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-13T12:58:58.057084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T12:58:58.057084Z digest=sha256:5293f039b27749ad0e0ae8e432dd4ff21d45c4f1111ece1f70fdd0d6ac12a059

Observation 7164e96d-db02-4c5c-8ceb-b5735e8f80db · inbound

Orion-Lite: Distilling LLM Reasoning into Efficient Vision-Only Driving Models cites this paper.

Orion-Lite: Distilling LLM Reasoning into Efficient Vision-Only Driving Models Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:41:00.844962Z

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.

source=pdf_text observed=2026-05-10T17:02:59.008417Z digest=sha256:a596f10b69750e0c89e18909e2866c572c0cc4a984cf3f1b9232a6b6b2a313f4

Observation ee9df497-5896-422b-bc17-e66bde2a688b · inbound

BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving cites this paper.

BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:16:08.836504Z

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.

source=pdf_text observed=2026-05-10T15:03:02.833156Z digest=sha256:a37f2c1228917e4e41210696134278e5b841effc0855e39706b8eb4072b0e623

Observation 5176e58d-a71c-462e-bd17-fa5c7e09eb5e · inbound

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework cites this paper.

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:50:21.117631Z

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.

source=pdf_text observed=2026-05-10T11:40:26.649975Z digest=sha256:53e768fa17d95cd067cf9682898580438ed77c40919aa480d7ae03566c1d9a03

Observation a8d70cb0-a247-427b-b1d5-349c0f8cded0 · inbound

The DAWN of World-Action Interactive Models cites this paper.

The DAWN of World-Action Interactive Models Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:07:07.617226Z

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.

source=pdf_text observed=2026-05-13T02:05:07.140357Z digest=sha256:80d53c56c96e045ac213a1bd89ed924d35a694459c75d40deaea66a434751ce4

Observation e61096d9-12d2-4876-9120-0e5a6d082faf · 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-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:27:35.386054Z

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.

source=pdf_text observed=2026-05-14T18:26:18.738944Z digest=sha256:7a44955f4ac3d5e8e3465d53fb6cf50c37dc87269b27d1d0e124271fe83c2b92

Observation 5c01a39b-0284-48e1-bd61-b6886aaccbd0 · 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-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:59:01.740490Z

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.

source=pdf_text observed=2026-05-20T20:55:36.793147Z digest=sha256:f44804681cf1fa3c1f2bd9e0559c329938a12479b6ac004167657d1934d37042

Observation 1184d37e-9666-44ca-a180-60879fb7cdc1 · inbound

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving cites this paper.

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:49:35.805645Z

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.

source=pdf_text observed=2026-05-21T04:44:48.349384Z digest=sha256:eb5fabe9e3060b782f0fe28ba467b36e678ece86d806f760ac3ec26d02f7b963

Observation d464db1f-789e-4b43-ab83-f97b000d613b · inbound

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving cites this paper.

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:55:24.753465Z

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.

source=pdf_text observed=2026-05-25T05:52:10.143179Z digest=sha256:3f34adff9cc9eae88021e195e64c7809432c668ac931195d18b65e9f0d8f065c

Observation 867c8a47-8097-400e-92d7-eaad8052f9ab · inbound

ChainFlow-VLA: Causal Flow Planning with Vision-Language Models cites this paper.

ChainFlow-VLA: Causal Flow Planning with Vision-Language Models Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:40:23.759418Z

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.

source=pdf_text observed=2026-05-25T04:37:56.487048Z digest=sha256:95d5dfdff4482c1d7b3432ea4c2814e5156ccaa7446b304ad6ea40d447e67b61

Observation 792139ba-06dc-4a75-a0ba-1d23a29eede5 · inbound

NTR: Neural Token Reconstruction for Scene Token Bottleneck in End-to-End Driving cites this paper.

NTR: Neural Token Reconstruction for Scene Token Bottleneck in End-to-End Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:02:46.923690Z

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.

source=pdf_text observed=2026-06-28T22:57:01.742536Z digest=sha256:173626317eaa69b6ef81d8e1e7298fe81db158e1693a176513cfd1cd71c54932

Observation d9163e29-bded-4074-91da-f5db9450a053 · inbound

IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving cites this paper.

IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:36:08.501318Z

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.

source=pdf_text observed=2026-06-28T22:23:07.223613Z digest=sha256:7adad6c2c9d4c37655fec033d0430a5be537347cfd25fdb61076e7da06dbd5b5

Observation 2aade238-8632-450e-8e44-a3e6fafad970 · inbound

Unified Driving Tokens: Representation- and Geometry-Guided Discrete Tokenizer for Driving World Models and Planning cites this paper.

Unified Driving Tokens: Representation- and Geometry-Guided Discrete Tokenizer for Driving World Models and Planning Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:16:16.894970Z

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.

source=pdf_text observed=2026-06-28T15:30:23.522123Z digest=sha256:c8f8c8ef1ba9287edff9918b84e0683e6a3e612b9d4c9374697f78c16c41ec72

Observation 080f0b37-7341-4eab-85c3-b64c239c77d7 · inbound

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets cites this paper.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:06:29.934225Z

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.

source=pdf_text observed=2026-06-28T10:21:21.794049Z digest=sha256:890028830d61bf32400dd4d6eaaf878662d7df84757024c1b7153517c358fa0f

Observation 05f17f9e-7786-4050-b16b-d4884e0506d9 · 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 Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:26:48.316320Z

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.

source=pdf_text observed=2026-06-28T06:02:52.244884Z digest=sha256:12af098efbbd3b540704aa3987ebc6d13abba2d73d12f36b12c4b2af1c0ae25c

Observation 610eafa2-9bd5-41f6-988e-7b1543dc0ab4 · inbound

Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving cites this paper.

Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:44.895098Z

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.

source=pdf_text observed=2026-06-26T09:06:54.669489Z digest=sha256:d9e91628829cd11ded3e133df716cc5849055c46d69a7fa5861d0ecce0f66f62

Observation 4e1be0b1-4296-4100-84ac-9a7da855fef5 · inbound

FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning cites this paper.

FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:39:58.115169Z

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.

source=pdf_text observed=2026-06-26T00:19:49.473294Z digest=sha256:8a0da5d8cae77c05306d62d2f5748742468f418d2a79a94b116731e88ae3f080

Observation 9038df01-bff1-4cea-b5f6-af9fff750ff3 · inbound

UniTeD: Unified Temporal Diffusion for Joint Perception and Planning in Autonomous Driving cites this paper.

UniTeD: Unified Temporal Diffusion for Joint Perception and Planning in Autonomous Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:30:08.089685Z

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.

source=pdf_text observed=2026-06-25T21:12:59.598842Z digest=sha256:76f2fb8ff47ea3ae1c9b85a89434df0400deb2d8334f3d1232ebf065b9fda4d0

Observation 586cb908-da62-4c26-84bd-85401aef8d56 · inbound

LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving cites this paper.

LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:54:21.309322Z

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.

source=arxiv_source observed=2026-06-30T06:34:37.717137Z digest=sha256:ed3ccfe9dbba2daf74a14a5d809394aaef6412059ad75ff19a1ea58c6bd39724

Observation 7fa47902-a56b-4871-b155-b3689830812c · inbound

LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving cites this paper.

LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:55:28.860794Z

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.

source=arxiv_source observed=2026-07-01T06:54:29.399091Z digest=sha256:1241df269527e26c192d2cf362ac8caab79b057a9732ceff6972b3be00c50a30

Observation 3764e1c0-b5a1-4c33-8074-be2e897c7877 · inbound

Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations cites this paper.

Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-01T12:55:44.533197Z

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.

source=pdf_text observed=2026-07-01T01:32:45.896103Z digest=sha256:1a8a9d7a4aa65621b0161873971cd81b0fc8ad828e30096e30a1b9508b89a9f7

Observation 44475378-eb7c-4d16-b60c-6ca1fa9ebd57 · inbound

PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving cites this paper.

PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:55:41.495419Z

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.

source=pdf_text observed=2026-07-01T05:58:58.075150Z digest=sha256:b9dabc4c4739e8237bfc3eb6186897bf856173685a04c5a14b4a5369530f48d6

Observation cfe27d2b-d158-4c2e-90bc-5e864aed7413 · inbound

Teaching Vision-Language-Action Models What to See and Where to Look cites this paper.

Teaching Vision-Language-Action Models What to See and Where to Look Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T16:48:39.584508Z

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.

source=pdf_text observed=2026-07-03T16:42:13.520913Z digest=sha256:f4b6ec6b53917497f2a9d01751533a25728264f9383604a004a60e7cf03c0df7

Observation 73f0eb9c-fedf-43ca-b161-1bac98d99885 · inbound

DRIFT: Drift and Aggregation for Motion Planning cites this paper.

DRIFT: Drift and Aggregation for Motion Planning Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T01:56:05.728749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:56:05.728749Z digest=sha256:f1d0d87e408d1b53e9d7d18478fd5a386c232b805ea4b28ed13654ee225550f8