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Paper Citation Record · LEDGER

Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2503.11650.

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

pith.paper-citation-record.v1
2503.11650 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:56:42.328881Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:58:42.616164Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
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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 5c15c721-8ca2-46a4-b9c7-1ef12511e5df · inbound

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

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.

source=pdf_text observed=2026-08-07T12:56:42.328881Z digest=sha256:3b523ce52db29b3641b8936c3a5a9ebcfd33c60f6a1bbf57bf597d75478ab64c

Observation f3965fe1-8305-472f-bddc-16cbe84428ef · inbound

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

Generalized Trajectory Scoring for End-to-end Multimodal Planning Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:19.064967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:19.064967Z digest=sha256:64227539cad7c55f58343f9ad1eed79ec271c308b8c66dd8986b1c82d622059f

Observation 557dbaba-8459-4651-91ec-58dd7feeafab · inbound

ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models cites this paper.

ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:32.697992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:32.697992Z digest=sha256:0423927b1dee507fe656c34c93632a0c58a9274a8244b833bb1c46ff5e552edf

Observation c5dae32d-ffe3-4118-96a8-b83cf0837aba · 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 Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:48.441248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.441248Z digest=sha256:c9a449e84146f82076133bb663ddf5f171a750cbf0c665aa26fc3740a967663a

Observation afbf1488-472e-4473-abe1-4ce5f9e9ddcd · inbound

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

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:46:44.035759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T21:46:43.955825Z digest=sha256:e92401bc41da4f422a44692500f105510d1e0bb6b934fdd4bb76467100ec60ad

Observation c8a1f4c7-af4f-4ff2-81d0-5671561e7b41 · inbound

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer cites this paper.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T07:54:32.199756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:54:32.199756Z digest=sha256:4b3e29e3f43d971a67e80c2e6205231e05aadb6a3164e5521013b9e57e12e7f6

Observation 5e277027-4fa4-4cbe-86c5-90b6a070578f · 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 Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T20:53:15.555871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T20:52:25.139770Z digest=sha256:84c6057430af826f9cd9b86d5ed9b2e52ec95592e16b0aa5933ad3eb423ac89c

Observation 37a27a27-7809-4351-81bd-13860282d2f5 · 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 Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 44

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:f0b0aea48baa37cb9eaeee6e42335d907b070527ee9ac6812df184c0cea2b9b0

Observation c601f260-4fbe-41a8-921e-54f09ad332aa · inbound

GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment cites this paper.

GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:21:30.653276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T06:23:39.902215Z digest=sha256:9e02ffcd576ee03fc5754e42d4852f33b311a8392c288b15e1d299357d74e1d5

Observation 68df4f73-857d-48c9-b97b-dc8089f9b619 · inbound

GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment cites this paper.

GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:47:39.961569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T16:47:09.487360Z digest=sha256:633ea02f49cf27895951a8ab14e4fd0711bdc8f826dc4ba1a55355058ac223e6

Observation b77075f1-23fb-4950-a311-f0d324cadeba · inbound

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving cites this paper.

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:26.101624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T04:13:37.421188Z digest=sha256:90225b40443db8ae9e1573d39f23fa6b20afb380ffa86e1786a64bd60ad8e416

Observation aaf96775-a97f-44f2-8e48-b00bdf0b482a · inbound

CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning cites this paper.

CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:59:01.673816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T20:57:06.455108Z digest=sha256:e7fecdc660b96003ef362014a9910dcb86d734cc75bbbf23a2203104a5a79478

Observation 492e3938-dab5-433e-8534-e8336bbb1059 · inbound

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

ChainFlow-VLA: Causal Flow Planning with Vision-Language Models Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:40:23.875982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T04:37:56.487048Z digest=sha256:9cc5ce5719ae45852f0537a18355f60edea2d0babba8837d48876086c748d4ab

Observation 9a4092c7-66b8-4083-aedb-bde6fcdf0665 · 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 Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:14:45.833195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T14:05:41.611858Z digest=sha256:31dc65a0d9b9c476fc6cc2e3e9883cbea8e58f2fa74d580dd5172b2b2317e940

Observation 164f035a-bc95-423f-9c5a-ad080814cda7 · inbound

Test-Time Trajectory Optimization for Autonomous Driving cites this paper.

Test-Time Trajectory Optimization for Autonomous Driving Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:47:17.897107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T21:53:02.554405Z digest=sha256:0ef02f15bd39344ea5b0b5d1e380fd2e7d76515326f39b1b396e487dfe5434c1

Observation dd012011-992a-4983-9014-d495c8a101b3 · inbound

CADET: Physics-Grounded Causal Auditing and Training-Free Deconfounding of End-to-End Driving Planners cites this paper.

CADET: Physics-Grounded Causal Auditing and Training-Free Deconfounding of End-to-End Driving Planners Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:58:42.617943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T04:55:35.713892Z digest=sha256:974518e6acef006e9e4ea6289db42224d21e481ac18c9890895bfce138d9856c

Observation c06d839b-2bb8-439f-b948-682775311dcb · inbound

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning cites this paper.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-01T20:38:44.760455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:38:44.760455Z digest=sha256:9f32e157729d312a9101165c3c01db2ccd4f3acff695c0030fdd8417dede3990