Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T17:20:55.364175Z
Paper Citation Record · LEDGER
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies
As of 4 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2605.04470.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
59 of 59 outbound references displayed
- verified exact28
- verified fuzzy7
- unresolved22
- parse uncertain1
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eab05999-307c-4697-9a09-4749e55c382f · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.546327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b59cdc02-a598-43ab-8be5-6826ab65c765 · outbound
This paper cites Jiang, S.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Jiang, S
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T08:01:56.612367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cb69716e-d824-4789-ad25-474e363bd58e · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.609205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3e438397-4ebe-4fba-bd82-49bc70122f02 · outbound
This paper cites Counterfactual vla: Self-reflective vision-language-action model with adaptive reasoning.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Counterfactual vla: Self-reflective vision-language-action model with adaptive reasoning
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.537342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5e216dc5-bfda-4841-94ef-a023ab3951b6 · outbound
This paper cites DriveFine : Refining-augmented masked diffusion VLA for precise and robust driving.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies DriveFine : Refining-augmented masked diffusion VLA for precise and robust driving
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.645773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0e838f4d-8026-4f44-8eb1-76856aaf3cac · outbound
This paper cites DriveLaW:Unifying Planning and Video Generation in a Latent Driving World.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies DriveLaW:Unifying Planning and Video Generation in a Latent Driving World
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T17:41:06.563777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 260e65f0-3b6a-447b-ac45-3b13c71c107c · outbound
This paper cites DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T06:48:01.146010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 342c878c-ae81-4692-afe9-f7ea9ff8c245 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T17:41:06.664844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b6f5e48b-0063-4956-a40b-0576941d1339 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.587169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8dc98bf4-f6f4-485e-9be2-7b953eee30d0 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.590362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4098be44-c741-4610-9846-ecb6c946c1ab · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.568418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 42db1f74-25e1-4141-8b16-3f6e385dc822 · outbound
This paper cites Guideflow: Constraint-guided flow matching for planning in end-to-end autonomous driving.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Guideflow: Constraint-guided flow matching for planning in end-to-end autonomous driving
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.579094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 46c8581c-2519-4eac-a6ae-a9f757c79ddd · outbound
This paper cites Resad: Normalized residual trajectory modeling for end-to-end autonomous driving.arXiv preprint arXiv:2510.08562.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Resad: Normalized residual trajectory modeling for end-to-end autonomous driving.arXiv preprint arXiv:2510.08562
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.651824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d8bb9175-09a2-4fdc-8e55-19c3e8491277 · outbound
This paper cites Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T00:03:06.805723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f4cecaed-6f6d-4147-8921-4c004e901ab1 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.583894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 54d9dd46-8cb2-4876-aa82-34c0d8deb586 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.571680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 37dc4c1c-ef25-4bd3-8a08-2866ff2d3d54 · outbound
This paper cites AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:46:44.401546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5d8c7e53-9148-4052-a384-60d991ef16fe · outbound
This paper cites Unifying language-action understanding and generation for autonomous driving.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unifying language-action understanding and generation for autonomous driving
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.704504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b8b0abe8-8ac4-4506-b82d-c4e8f22b60b8 · outbound
This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation
Reference 19
- Resolution
- verified exact
- 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 2026-08-04T06:34:03.388597+00:00.
Observation c4472306-3870-4455-8a73-ebba5473109b · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.574460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dae1d3be-8e8d-4b30-ab27-93f4d4ede494 · outbound
This paper cites Generalized Trajectory Scoring for End-to-end Multimodal Planning.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Generalized Trajectory Scoring for End-to-end Multimodal Planning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.717031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d512dda4-9788-4eed-8cf3-cae931d82869 · outbound
This paper cites Sparsedrivev2: Scoring is all you need for end-to-end autonomous driving.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Sparsedrivev2: Scoring is all you need for end-to-end autonomous driving
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.583948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ae510ed2-d2c9-4063-9507-b37c347cd81a · outbound
This paper cites Proximal Policy Optimization Algorithms.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Proximal Policy Optimization Algorithms
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T17:41:06.670098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2bb7ed72-044f-4308-86e6-79f06322e74b · outbound
This paper cites MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-07-20T02:18:22.862599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation efb198ae-e5c6-4b30-9068-40511f07b00a · outbound
This paper cites Jaeger, D.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Jaeger, D
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T08:01:56.577653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7302a973-0a56-4b6f-90a1-bd7b2d533f46 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.580849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dff84d96-0b57-448f-a037-f7452849df0d · outbound
This paper cites RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T17:41:06.621120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c3b6f729-5c2f-4b65-a2ce-efd1bd22578b · outbound
This paper cites ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.638765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation aac362ad-8fa7-4aa0-8bb2-3b6627f12ac7 · outbound
This paper cites DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T01:16:52.522105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 01e4e094-491a-4fc7-9f6a-7179e0f76d83 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.634608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d17ee294-5a7e-48a9-bf3a-bd849ab1eb95 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.637523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ef61e363-35f4-4c56-88c3-3b107615f1b9 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.621634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d3cc3314-712f-4e48-855b-ea4053e89b73 · outbound
This paper cites Rafailov, A.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Rafailov, A
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T08:01:56.624921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b3749457-0881-44a1-a045-f8683a783627 · outbound
This paper cites ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T07:36:24.555133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 343613c8-cf5e-4882-9f0c-530304efbfa1 · outbound
This paper cites re- gions important for driving.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies re- gions important for driving
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.691999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3e86f4e4-87c2-4f84-b30c-d6986bb1f77a · outbound
This paper cites Generative scenario rollouts for end-to-end autonomous driving.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Generative scenario rollouts for end-to-end autonomous driving
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.631479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eb0092cf-7fbd-4df9-85fd-2967f1067dd5 · outbound
This paper cites DynVLA: Learning world dynamics for action reasoning in autonomous driving.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies DynVLA: Learning world dynamics for action reasoning in autonomous driving
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.598365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2494b19a-086f-42ac-9622-946ba18891ee · outbound
This paper cites Dichotomous Diffusion Policy Optimization.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Dichotomous Diffusion Policy Optimization
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-07-20T03:19:14.643152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d9f88412-23a8-4066-a94a-76f31bd5f87e · outbound
This paper cites Devil is in narrow policy: Unleashing exploration in driving vla models.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Devil is in narrow policy: Unleashing exploration in driving vla models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.543662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 430c7d80-53ec-4e63-9c9d-2b2484b2ebdb · outbound
This paper cites Dauner, M.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Dauner, M
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T08:01:56.615557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 032d6e8d-c5c8-4f21-8ff8-fb84d790eb3b · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.628410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eb115ea6-446e-489f-a91d-7d52bbd0d369 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.631575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 525088fb-7e90-484b-a7ca-f4c0e617bec5 · outbound
This paper cites Ad-r1: Closed-loop reinforcement learning for end-to-end autonomous driving with impartial world models.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Ad-r1: Closed-loop reinforcement learning for end-to-end autonomous driving with impartial world models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.569253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f888977f-9ec6-466e-9ede-5480143658c9 · outbound
This paper cites Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.680073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8d1fc23d-5b87-4902-8421-c59f52ceb4b1 · outbound
This paper cites Dosovitskiy, G.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Dosovitskiy, G
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T08:01:56.596126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b0308410-cacd-484e-939a-8a2942c1e440 · outbound
This paper cites Nguyen, M.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Nguyen, M
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T08:01:56.593268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eb968e6e-c04a-41c3-b6b3-5e17b16faf33 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.602421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3dc38b47-c7df-4086-829d-2894520d2353 · outbound
This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:21:45.673967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 11c39923-86a1-418e-ac59-9b409b3f65fa · outbound
This paper cites Rift: Closed-loop rl fine-tuning for realistic and controllable traffic simulation.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Rift: Closed-loop rl fine-tuning for realistic and controllable traffic simulation
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:41:06.550525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bc62c079-a22a-4228-8257-d6c720da15ef · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.599389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 56a65f86-51f1-47a3-9900-1053a35d41d4 · outbound
This paper cites Gerstenecker, A.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Gerstenecker, A
Reference 51
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-11T17:41:06.556357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b5aa05fa-d20a-4fa5-958c-10fbd7bf3e15 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.605547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 65cb93a9-9e21-4963-b280-f19e730d888e · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.618605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 459d176a-83e7-43ba-8b50-215ec0f827ad · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.640665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b432967-9d73-425c-b141-83dc0fd66cc9 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.557119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4a4b6099-4694-4a43-a85c-ae7dc0cc46f7 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 58
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-26T08:01:56.553551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f90746df-b0b5-4f43-aaae-9bf79153d3a9 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.560604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b78517fb-8222-462e-89f8-bef430eddcc4 · outbound
This paper cites an unresolved cited work.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T08:01:56.564273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c0f3373a-8f56-4f6c-8929-0f5418cc3bdc · outbound
This paper cites • HiP-AD [46].The ego decision is represented as joint path-speed candidates with 48 ego modes.
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies • HiP-AD [46].The ego decision is represented as joint path-speed candidates with 48 ego modes
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T08:01:56.550097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.