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Paper Citation Record · LEDGER

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 4 inbound Pith citation observations for arXiv:2412.16201.

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

pith.paper-citation-record.v1
2412.16201 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:10:08.812540Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:13:41.718661Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:05:30.862504Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0cc6ee2f-5ee8-4e93-ad33-7cc5517eecf8 · outbound

This paper cites Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning.IEEE transactions on intelligent transportation systems, 23(8):10239–10251, 2021.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning.IEEE transactions on intelligent transportation systems, 23(8):10239–10251, 2021

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:10:08.510790Z digest=sha256:544ad0c2047543aed24f6b0be3355bd31d8f4cdcc0492c3051cd7b97b3e54524

Observation b8bdb334-1a8e-4ddf-a649-641ce615a9ab · outbound

This paper cites Socially intelligent path-planning for autonomous vehicles using type-2 fuzzy estimated social psychology models.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Socially intelligent path-planning for autonomous vehicles using type-2 fuzzy estimated social psychology models

Reference 2

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raw_fallback, observed 2026-08-11T14:10:09.613194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:10:08.521061Z digest=sha256:108880440f70e7fcc9252b4a352c2c712675ead14f78dcba89617f8fe6bf9bb1

Observation 6fd9687e-1029-4567-8595-676258e7181b · outbound

This paper cites Drivellm: Charting the path toward full autonomous driving with large language models.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Drivellm: Charting the path toward full autonomous driving with large language models

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:10:08.527506Z digest=sha256:cdc94f41f5fdfa0cb25d30f5affeef2ac0541938e69c05e44fdbd3002e14bd36

Observation aa8d907e-12ff-4941-b41c-0465001444bb · outbound

This paper cites Socially intelligent reinforcement learning for optimal automated vehicle control in traffic scenarios.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Socially intelligent reinforcement learning for optimal automated vehicle control in traffic scenarios

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:10:08.534179Z digest=sha256:19fd2e20d6349b2031921868c0b7e99c460c64703504546335635b72d4b14972

Observation 4ef4bc9d-d034-47da-94ed-844a67122919 · outbound

This paper cites Social co- ordination and altruism in autonomous driving.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Social co- ordination and altruism in autonomous driving

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:10:08.540925Z digest=sha256:c3f6837498a7d8ebad9bf3ca854c1ec15f8f22fbf5ac087caf6c6a322ed556f8

Observation f94e8aa8-d213-461a-8a85-4b90ef459bf8 · outbound

This paper cites Learning when to drive in intersections by combining reinforcement learning and model predictive control.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Learning when to drive in intersections by combining reinforcement learning and model predictive control

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:10:08.546944Z digest=sha256:bef62c87ac97e69f548a1a601d42c0abf754d9abd79e4b57132e7aeab2c92929

Observation 1e5d1d6c-9687-408b-8fd8-cfb93e4a4f80 · outbound

This paper cites Deep q-network based decision making for autonomous driving.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Deep q-network based decision making for autonomous driving

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:10:08.554632Z digest=sha256:eebd1cc8c54a8306aff0c8e2062f3e86bf3d802599789d4fbc2bca28216db8d1

Observation 2f4d5a59-55c9-4494-aa1c-289f8451753b · outbound

This paper cites Large Language Models for Human-like Autonomous Driving: A Survey.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Large Language Models for Human-like Autonomous Driving: A Survey

Reference 8

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local_arxiv, observed 2026-08-11T14:10:09.358414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:10:08.560236Z digest=sha256:aa9774e9a5dd77a0896137c51909746ee39e7103c52a01781c475ed748e0d22c

Observation 9d781b78-b9f0-4e76-b2d4-75a1c80675fe · outbound

This paper cites Facilitating autonomous driving tasks with large language models.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Facilitating autonomous driving tasks with large language models

Reference 9

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:10:08.566619Z digest=sha256:7f2c5bc141da8d540a3ce493b0deb497c108161a5588c5954b8ddbc5952e2342

Observation 8be960d1-8b50-4b83-9a5f-ea593fd3e61f · outbound

This paper cites Towards Knowledge-driven Autonomous Driving.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Towards Knowledge-driven Autonomous Driving

Reference 10

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source=pdf_text observed=2026-08-11T14:10:08.575392Z digest=sha256:277a237bb45decae9d02c0e0ff4dd88f2fc82ae7ac3cecd2f8100f8cf4b7fb94

Observation 65f905a0-eae3-4137-bc9c-784b91190a2e · outbound

This paper cites PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning

Reference 11

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source=pdf_text observed=2026-08-11T14:10:08.581746Z digest=sha256:0ccd911289053a0a6e6327d89e243fe61be75b54461ffaf4b5c7d67820698711

Observation f5744167-9a39-4eca-b844-035ad00f6a2b · outbound

This paper cites Integrating deep reinforcement learning and social-behavioral cues: A new human-centric cyber-physical approach in automated vehicle decision-making.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Integrating deep reinforcement learning and social-behavioral cues: A new human-centric cyber-physical approach in automated vehicle decision-making

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:10:08.588453Z digest=sha256:1b4630cda0b52a7d7a7baf04aa9688450960cbff68f2ae052fc1d31f80431285

Observation 1e3fc930-3306-4c15-982e-6f2addbb32e2 · outbound

This paper cites Deep reinforcement learning for autonomous driving: A survey.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Deep reinforcement learning for autonomous driving: A survey

Reference 13

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source=pdf_text observed=2026-08-11T14:10:08.594609Z digest=sha256:0a7da3f79a2d6e746108dadf77be5bce92c37f5669c376f717a380de17962fc4

Observation b23a981a-acb5-4d02-9a70-57804152c202 · outbound

This paper cites Dense Reward for Free in Reinforcement Learning from Human Feedback.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 15

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source=pdf_text observed=2026-08-11T14:10:08.607669Z digest=sha256:ef980d9f982e48f544bc8d898906bd2b33d2a3ed0de09c343a497ced16c4db7e

Observation dbdb35d4-264e-430b-98a1-4342096d57cb · outbound

This paper cites Learning to drive a bicycle using reinforcement learning and shaping.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Learning to drive a bicycle using reinforcement learning and shaping

Reference 16

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source=pdf_text observed=2026-08-11T14:10:08.624568Z digest=sha256:7af27b49f49b0eb677120ce2c7be04a6583d8e4a3bd406bc1d1637f8c5fda12e

Observation 093392e1-7b9c-4790-ad84-125eadacd1ad · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Constitutional AI: Harmlessness from AI Feedback

Reference 17

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source=pdf_text observed=2026-08-11T14:10:08.633477Z digest=sha256:9377729412354c3e8542121f848f8613eeec10ce8f33c9a2b1fb2787aa8f4f87

Observation 4b8077a8-a746-4bbf-8966-ca358869aea1 · outbound

This paper cites Training Language Models with Language Feedback at Scale.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Training Language Models with Language Feedback at Scale

Reference 18

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source=pdf_text observed=2026-08-11T14:10:08.642759Z digest=sha256:74a9cf96a94e64c57deada47e536be567f57c961229473874d7ff61987ee7b3f

Observation ee7d7caa-0558-42bc-99f7-5beab353c289 · outbound

This paper cites Text2Reward: Reward Shaping with Language Models for Reinforcement Learning.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Text2Reward: Reward Shaping with Language Models for Reinforcement Learning

Reference 19

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source=pdf_text observed=2026-08-11T14:10:08.651476Z digest=sha256:e89ef8cd4459d48aef6185abca9dfc6596f8c3c2f71d3219ef072cd272754e37

Observation beb21cdb-e231-40c8-bd87-bb96bb439aee · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 20

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source=pdf_text observed=2026-08-11T14:10:08.657871Z digest=sha256:9281bb93cc6d661c221e6ecff543ec4cf630f394043dbf59eeef611088343ae6

Observation e6a2fa18-db07-4108-aa1b-c5acffb7d5f4 · outbound

This paper cites GPT-4 Technical Report.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning GPT-4 Technical Report

Reference 21

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source=pdf_text observed=2026-08-11T14:10:08.666750Z digest=sha256:c6c4dd1f0523fc21d9bd8c919cd87df9c0b6aa90e8598adace92c122d6887258

Observation 6fbcea3a-d315-4744-b4ec-92524412f53f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning LLaMA: Open and Efficient Foundation Language Models

Reference 22

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source=pdf_text observed=2026-08-11T14:10:08.678020Z digest=sha256:636e0e0bc0e6bbd869ac8a0dd912e3874a820cbb06fe890885acf1040bbcb636

Observation 6e1c74a6-944c-4557-9013-31695e8aae0d · outbound

This paper cites Deep reinforcement learning from human preferences.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Deep reinforcement learning from human preferences

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:10:08.686284Z digest=sha256:778af22b899cdb50726677b20d6744ec0cfac9e95ca62eea2e640aa6683b0ef5

Observation 72d9408e-e95e-407a-bcba-4cf965a72b72 · outbound

This paper cites RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback

Reference 24

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source=pdf_text observed=2026-08-11T14:10:08.693481Z digest=sha256:848e25860cde738842974b91214d588d2e028b932c5aabd386e5ea867428e94c

Observation d61a7231-fbe7-4fff-aa94-b9f870b33dd8 · outbound

This paper cites Language to Rewards for Robotic Skill Synthesis.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Language to Rewards for Robotic Skill Synthesis

Reference 25

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source=pdf_text observed=2026-08-11T14:10:08.698596Z digest=sha256:c05ee806b55a1f6abefb71fc0f87456b27acd7aaaacc052a7633d9bd023bd5e5

Observation 31115113-67a3-47df-8ba5-7dc594521549 · outbound

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

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning GPT-Driver: Learning to Drive with GPT

Reference 26

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source=pdf_text observed=2026-08-11T14:10:08.705049Z digest=sha256:708e3e41912f7c31a2b55c2711a79733f504dcced809dd1ddd1123f7d4495fed

Observation 34c0a8b7-072c-44f6-a59f-6e3c658a54bf · outbound

This paper cites Reward Design with Language Models.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Reward Design with Language Models

Reference 27

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source=pdf_text observed=2026-08-11T14:10:08.712747Z digest=sha256:1f62ee8600b46bfde5394e01e11a6262f6a69ad7d32197dcef7cda27336f8d82

Observation c5df7d45-d240-484d-a2a1-5d28d26010c9 · outbound

This paper cites Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning

Reference 28

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source=pdf_text observed=2026-08-11T14:10:08.719867Z digest=sha256:e8e13041038d27bd73b2ce8c4c69a23d322144a56cc9ea569eabdcdec7cf4885

Observation 827659c7-8caf-45fe-8fbd-0e140d5f4df2 · outbound

This paper cites Language Reward Modulation for Pretraining Reinforcement Learning.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Language Reward Modulation for Pretraining Reinforcement Learning

Reference 29

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source=pdf_text observed=2026-08-11T14:10:08.727277Z digest=sha256:2432443313edf9fbdb97909e64b5c9840b9e6951ef6cbd1b73ae45df38fcde83

Observation 4066cae2-5837-4aa1-96a9-7e976bc03975 · outbound

This paper cites Learning transferable visual models from natural language supervision.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Learning transferable visual models from natural language supervision

Reference 30

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source=pdf_text observed=2026-08-11T14:10:08.738325Z digest=sha256:4fde865b1d8b8fd10619fd0f98a4528da6f3ff53bb0e6f31de220e10f0468955

Observation 97327b08-b100-467b-8fc7-df1b8e2dd5de · outbound

This paper cites An environment for autonomous driving decision-making.https://github.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning An environment for autonomous driving decision-making.https://github

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:10:08.749716Z digest=sha256:1913c602059b2baea01d5c948cc973fca8adf1896bbe1ccf45060d6c45152a4f

Observation 6ef7f3ef-3617-4277-97a2-61088c2070e8 · outbound

This paper cites OpenAI Gym.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning OpenAI Gym

Reference 32

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source=pdf_text observed=2026-08-11T14:10:08.757378Z digest=sha256:74fa8c549344c5f200a07e4ea2e287bef48824a3eba4c3e227cf34c5db04337c

Observation 1c232ffe-f40c-4ca0-96e6-e7336606c0aa · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 33

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source=pdf_text observed=2026-08-11T14:10:08.765207Z digest=sha256:08af981298d0ef2863fefbca6ffe066d2e23d571dc2db8e8ac46c89a4739078c

Observation b9e40954-e404-44cc-8189-f8da6527b40b · outbound

This paper cites Proximal Policy Optimization Algorithms.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 34

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source=pdf_text observed=2026-08-11T14:10:08.776887Z digest=sha256:a2ef985866bef1a583b3ecf72be9c9ceaaa0d32292e0b061556ccb0cb1ed0e68

Observation 8955d52d-0520-4689-aad9-0abd35d4ee28 · outbound

This paper cites Trust Region Policy Optimization.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Trust Region Policy Optimization

Reference 35

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source=pdf_text observed=2026-08-11T14:10:08.794227Z digest=sha256:cc76fbfbd7531c1a4616e369ebc5fcb98597a8e843f2373ceb2cf7c9c588b3fe

Observation 1dbd70fd-ec25-4526-b202-3671d85e6b17 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Stable-baselines3: Reliable reinforcement learning implementations

Reference 36

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no resolver link, observed 2026-08-11T14:10:08.801983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:10:08.801983Z digest=sha256:89dbd08b588a108aefffdd92fd5fdabad7c29ac830528547b0eeab4aa09c7740

Observation 16dd7239-851d-4352-89eb-f56c149833c9 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 37

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no resolver link, observed 2026-08-11T14:10:08.806824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:10:08.806824Z digest=sha256:daf385dfe118b58f80cc4a03df16f25a910d3c87fd51772111c17c3e3cf03be2

Observation eb0879a9-7790-40ad-a519-e0be4ee975ad · outbound

This paper cites Adam: A Method for Stochastic Optimization.

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning Adam: A Method for Stochastic Optimization

Reference 38

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no resolver link, observed 2026-08-11T14:10:08.812540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:10:08.812540Z digest=sha256:e512c6ca16ed6025514fae48f2d4e492edb37aceebe678aed28ae2965f1d5edd

Pith citing papers

Observation c6dafbe8-d84c-488d-a6ec-cc2581ec03af · inbound

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving cites this paper.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning

Reference 30

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no resolver link, observed 2026-08-07T15:13:41.718661Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:13:41.718661Z digest=sha256:83432eac7a2e562aebf22cccd85a5936c0d6ee5158b9cb160c205e9dfda561d3

Observation 13f44938-4829-4868-97d8-731a87f31adc · inbound

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring cites this paper.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning

Reference 5

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no resolver link, observed 2026-08-05T22:06:04.066268Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:06:04.066268Z digest=sha256:e4f4d2a61259846b94a9ded5373b50cf76bc4c521bce610526368d3ef8bf2510

Observation f2d6f464-da3f-475c-b277-74ed78227d74 · inbound

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA cites this paper.

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:36:30.797086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T05:15:23.174640Z digest=sha256:53ab6fe6316f75d3288a5ab36b3265c056e853332ceeb90fb87654ce8bc5fbed

Observation 7971643a-88c8-4a70-8c1e-780068f68823 · inbound

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA cites this paper.

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:05:30.864623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-01T08:04:18.704023Z digest=sha256:3b5afa24c146db48a5508115e19f940e2950b5262395c7f1ed043393d1a24480