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Paper Citation Record · LEDGER

LaViPlan : Language-Guided Visual Path Planning with RLVR

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.12911.

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

pith.paper-citation-record.v1
2507.12911 v4

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:40:06.149803Z

measured 39 of 39 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2256620f-5070-4e4a-ab90-6c3ace27e819 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

LaViPlan : Language-Guided Visual Path Planning with RLVR Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

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source=pdf_text observed=2026-08-06T16:40:00.924033Z digest=sha256:cc3699ccdc38b309703442167b88b02610857b7a3312a6a61d9e3eace28b5901

Observation 551f6f77-c9e3-4b55-843b-51856736f8a7 · outbound

This paper cites Au- tomated evaluation of large vision-language models on self- driving corner cases.

LaViPlan : Language-Guided Visual Path Planning with RLVR Au- tomated evaluation of large vision-language models on self- driving corner cases

Reference 2

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

source=pdf_text observed=2026-08-06T16:40:01.059829Z digest=sha256:b4bf1e0c9676ef8e73728dc947c7b75d75deec3f0cf70d0bb122d3c9e2c5c898

Observation 9f8d0123-cbe1-4028-a8c3-44836024d229 · outbound

This paper cites an unresolved cited work.

LaViPlan : Language-Guided Visual Path Planning with RLVR Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-06T16:40:01.208955Z digest=sha256:94baada6d1e687c41a49efa1f326d2372c2a906b84e942891d1be7baae412e7e

Observation fc9ebe99-1eb8-4eb2-bd4c-80cf141d809c · outbound

This paper cites Menli: Robust evaluation metrics from natural language inference.

LaViPlan : Language-Guided Visual Path Planning with RLVR Menli: Robust evaluation metrics from natural language inference

Reference 4

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source=pdf_text observed=2026-08-06T16:40:01.350017Z digest=sha256:28ab4f5049cfababd1bd720dd8cd6e52555c741897ee9c10cb0a79690e0b891a

Observation 36630e7a-0244-4349-95c8-63a994669ed6 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

LaViPlan : Language-Guided Visual Path Planning with RLVR Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 5

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source=pdf_text observed=2026-08-06T16:40:01.503303Z digest=sha256:a3a7c23cccb7dde9cc0c5e7d31faf0ef159eadd955ce4072af1f4b447c4eafe6

Observation a6ceefe7-dab0-461c-bbc5-cc61b70079bd · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

LaViPlan : Language-Guided Visual Path Planning with RLVR SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 6

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source=pdf_text observed=2026-08-06T16:40:01.624531Z digest=sha256:6a5f501e46347ae2d04f8e24aa55d09e3b94c7a4bbde1399bc04e6cd21f87145

Observation 24415ea8-afab-44d2-ab3a-3bdb27bebb02 · outbound

This paper cites ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation.

LaViPlan : Language-Guided Visual Path Planning with RLVR ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation

Reference 7

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source=pdf_text observed=2026-08-06T16:40:01.753206Z digest=sha256:87f6d44ba734c9b77e4a85ab078913bbe16c1ebf3225b20665cc78fcfb04b322

Observation bc7669f7-0cec-4e71-a90f-57857b821d0f · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

LaViPlan : Language-Guided Visual Path Planning with RLVR Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 8

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

source=pdf_text observed=2026-08-06T16:40:01.874131Z digest=sha256:feaf871d4a9efab0de9f586dbd0714034ab9a35ac86566f44fbcd828eea2ea04

Observation aaf73b97-24d9-47e5-b869-18918ebd02a4 · outbound

This paper cites Roadwork: A dataset and benchmark for learn- ing to recognize, observe, analyze and drive through work zones.

LaViPlan : Language-Guided Visual Path Planning with RLVR Roadwork: A dataset and benchmark for learn- ing to recognize, observe, analyze and drive through work zones

Reference 9

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

source=pdf_text observed=2026-08-06T16:40:01.988187Z digest=sha256:167512869bc2671595778afe8ebc5cb084052a25ce0b4cb3cc107a630bfdc4f7

Observation dd8d4b7f-f789-4b99-94bf-5168056e19a0 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

LaViPlan : Language-Guided Visual Path Planning with RLVR DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

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source=pdf_text observed=2026-08-06T16:40:02.109313Z digest=sha256:3b029a7380ecbbbc5c29bf235647f00f110f4833e5d98d6e20e067a468351abd

Observation d4ce70f3-5c5b-4497-8e4f-bda7286fb30c · outbound

This paper cites Lora: Low-rank adaptation of large language models.

LaViPlan : Language-Guided Visual Path Planning with RLVR Lora: Low-rank adaptation of large language models

Reference 11

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source=pdf_text observed=2026-08-06T16:40:02.289510Z digest=sha256:224d3db7b9140963158639a527d63d9cedad23979919489892cedc2c97acf185

Observation 4f536474-1e2d-4ded-9ef1-68d9de31a109 · outbound

This paper cites Human as ai mentor: Enhanced human-in-the-loop rein- forcement learning for safe and efficient autonomous driv- ing.

LaViPlan : Language-Guided Visual Path Planning with RLVR Human as ai mentor: Enhanced human-in-the-loop rein- forcement learning for safe and efficient autonomous driv- ing

Reference 12

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

source=pdf_text observed=2026-08-06T16:40:02.494241Z digest=sha256:eed9c05923c3e8ab716d7c7ea946b2e9cc1c3ff3e8b62821fc02519649acb6dd

Observation 374b4626-a609-41d9-a1a1-9c4e96fe2e86 · outbound

This paper cites Bench2drive: Towards multi-ability bench- marking of closed-loop end-to-end autonomous driving.

LaViPlan : Language-Guided Visual Path Planning with RLVR Bench2drive: Towards multi-ability bench- marking of closed-loop end-to-end autonomous driving

Reference 13

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

source=pdf_text observed=2026-08-06T16:40:02.641798Z digest=sha256:78c679b51e6155a821882e1f11ea8bc7c6e305de436211458661ef3aab9dda1b

Observation 4e9668a0-6eaa-4685-be89-a2d8519b4717 · outbound

This paper cites Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving.

LaViPlan : Language-Guided Visual Path Planning with RLVR Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 14

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source=pdf_text observed=2026-08-06T16:40:02.810114Z digest=sha256:387900a2d1f65b63abd6694cb48c85ad718eef28d3a60bee983641bf84b7fcd5

Observation 060c1cf3-1daf-4e28-86e0-e056f343d8ee · outbound

This paper cites AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.

LaViPlan : Language-Guided Visual Path Planning with RLVR AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Reference 15

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source=pdf_text observed=2026-08-06T16:40:02.925027Z digest=sha256:4d015f340e7fc1aeaa5322024c57b8e74e1a783e7dad340c8778b06f9641647a

Observation bba4f03a-4d5c-4d7c-8a7e-f6f8d159d1a8 · outbound

This paper cites Adapt: Action-aware driving caption transformer.

LaViPlan : Language-Guided Visual Path Planning with RLVR Adapt: Action-aware driving caption transformer

Reference 16

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

source=pdf_text observed=2026-08-06T16:40:03.076921Z digest=sha256:0e7cd02be2cf8cc698dd131c13d89d17a55771aeaf006fd1209933f085e95b14

Observation d30c563c-3a44-4c10-a7d9-0a2143d50d37 · outbound

This paper cites Aligning Text-to-Image Models using Human Feedback.

LaViPlan : Language-Guided Visual Path Planning with RLVR Aligning Text-to-Image Models using Human Feedback

Reference 17

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source=pdf_text observed=2026-08-06T16:40:03.213697Z digest=sha256:d6357c89812c881d9696f8354ef0ac41aa0f17b0ca20731559109ca08c1807a0

Observation c68c1da7-8a27-4bd4-b251-ebebc741badd · outbound

This paper cites Coda: A real-world road corner case dataset for object detection in autonomous driving.

LaViPlan : Language-Guided Visual Path Planning with RLVR Coda: A real-world road corner case dataset for object detection in autonomous driving

Reference 18

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

source=pdf_text observed=2026-08-06T16:40:03.359350Z digest=sha256:4e56a73c43f31dc542bfd61d363262d8fb4b86e10ae15b3f56d3c8f53bb894a7

Observation b666e982-b83a-44e7-a0fa-14d5db30d0e2 · outbound

This paper cites Visual instruction tuning.

LaViPlan : Language-Guided Visual Path Planning with RLVR Visual instruction tuning

Reference 19

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source=pdf_text observed=2026-08-06T16:40:03.510296Z digest=sha256:bd9559a41797d7e076e288fda9a2fad9649163349cadbafd44f480629c698cc2

Observation 4d23cb7b-6b00-49af-93aa-01f5b508a140 · outbound

This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.

LaViPlan : Language-Guided Visual Path Planning with RLVR Visual-RFT: Visual Reinforcement Fine-Tuning

Reference 20

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source=pdf_text observed=2026-08-06T16:40:03.649275Z digest=sha256:b4a33420fd04bb45a9505b4e785364e2cf044108af97a6ad1278bb9f492c9b7d

Observation 22a7b492-c5ea-4502-a7a0-81bde5870dc0 · outbound

This paper cites Reinforcement learning with verifiable re- wards: Grpo’s effective loss, dynamics, and success amplifi- cation.

LaViPlan : Language-Guided Visual Path Planning with RLVR Reinforcement learning with verifiable re- wards: Grpo’s effective loss, dynamics, and success amplifi- cation

Reference 21

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source=pdf_text observed=2026-08-06T16:40:03.738757Z digest=sha256:5827a4b73ca6eeab582e781243f1bf0a65282bf80c4c8b586a12579d36d165ad

Observation 9d567b43-d91c-4f9d-a820-c59b145d9b11 · outbound

This paper cites Improving agent behav- iors with rl fine-tuning for autonomous driving.

LaViPlan : Language-Guided Visual Path Planning with RLVR Improving agent behav- iors with rl fine-tuning for autonomous driving

Reference 22

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

source=pdf_text observed=2026-08-06T16:40:03.882816Z digest=sha256:1045a0c82f45d76cbc63f5e175206656131ca89d53f152f99cb63d54acfaedb5

Observation e8018398-3a9f-44f8-99a7-2de200aeac30 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

LaViPlan : Language-Guided Visual Path Planning with RLVR Direct preference optimization: Your language model is secretly a reward model

Reference 23

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source=pdf_text observed=2026-08-06T16:40:04.000840Z digest=sha256:7df4fef7703f0a0d3c37433bd49cdc9dfebf2d4a7238a0d73197e28129226ae5

Observation 005feb40-46b3-4527-97ce-533f5247ca9b · outbound

This paper cites Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration.

LaViPlan : Language-Guided Visual Path Planning with RLVR Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration

Reference 24

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source=pdf_text observed=2026-08-06T16:40:04.178553Z digest=sha256:88fd680d92f1b4dc448d0f5645f011a0c05493e4883520e5936f458bf802da4d

Observation 10e4463e-a45e-4816-8eb5-f213050b1545 · outbound

This paper cites CarLLaVA: Vision language models for camera-only closed-loop driving.

LaViPlan : Language-Guided Visual Path Planning with RLVR CarLLaVA: Vision language models for camera-only closed-loop driving

Reference 25

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source=pdf_text observed=2026-08-06T16:40:04.319609Z digest=sha256:7a43f058f0a0e985ec8ff55572b773eb4309a7c1882956c594242044c3a44742

Observation b4150817-1a62-4e16-8670-3aabbf2027ae · outbound

This paper cites Simlingo: Vision-only closed-loop autonomous driving with language-action alignment.

LaViPlan : Language-Guided Visual Path Planning with RLVR Simlingo: Vision-only closed-loop autonomous driving with language-action alignment

Reference 26

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source=pdf_text observed=2026-08-06T16:40:04.455174Z digest=sha256:3f0663828fbfefc1db46133d69eaab15ebd33a7aba55b578429c418be0fd5e1c

Observation bf3584a4-e4f4-4c96-9280-6de7afbc61a2 · outbound

This paper cites Proximal Policy Optimization Algorithms.

LaViPlan : Language-Guided Visual Path Planning with RLVR Proximal Policy Optimization Algorithms

Reference 27

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source=pdf_text observed=2026-08-06T16:40:04.562471Z digest=sha256:b0a33d3960e098587f488129799dc84c247a44901dab55ff2f0e979aaffccbec

Observation 94522b2f-8325-4c12-9539-02389811bf6e · outbound

This paper cites Waslander, Yu Liu, and Hongsheng Li.

LaViPlan : Language-Guided Visual Path Planning with RLVR Waslander, Yu Liu, and Hongsheng Li

Reference 28

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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=2026-08-06T16:40:04.677784Z digest=sha256:cd9b4a1ac56fa2761d5cff0ad9484a60760e4a52781b6b90ab93f161358cc005

Observation 65634add-2b48-4fb1-b67e-451f03eb9ee5 · outbound

This paper cites Drivelm: Driving with graph visual question answering.

LaViPlan : Language-Guided Visual Path Planning with RLVR Drivelm: Driving with graph visual question answering

Reference 29

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

source=pdf_text observed=2026-08-06T16:40:04.849508Z digest=sha256:d285b8db9e8afede9ec19681b7fe30a190f0ee939c3bb75b3fa73e6a9a440185

Observation ef69d228-8582-4465-a55e-43f7bf081bf8 · outbound

This paper cites ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models.

LaViPlan : Language-Guided Visual Path Planning with RLVR ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models

Reference 30

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source=pdf_text observed=2026-08-06T16:40:04.985533Z digest=sha256:e623b1761ae9a519ed397356c41007e71c1bd1293a73641e296bc1a75e6d7541

Observation 3cfc4850-b41d-406c-be12-5028c19dba8d · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

LaViPlan : Language-Guided Visual Path Planning with RLVR DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 31

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source=pdf_text observed=2026-08-06T16:40:05.125393Z digest=sha256:d5c7566615a665d28dd1d13b152df9bdf8d12a2c0bf10f1b9af14fff3e223a9c

Observation af526fd5-5d42-4b8f-adaf-ee33582649f1 · outbound

This paper cites What is the Alignment Objective of GRPO?.

LaViPlan : Language-Guided Visual Path Planning with RLVR What is the Alignment Objective of GRPO?

Reference 32

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source=pdf_text observed=2026-08-06T16:40:05.242510Z digest=sha256:5e9237726a87c558417a7d96d597a68659b6b085027316ee6fd10c53e00b1758

Observation ac831483-8ec9-4526-9013-9e0585ed9a78 · outbound

This paper cites Omnidrive: A holistic vision-language dataset for au- tonomous driving with counterfactual reasoning.

LaViPlan : Language-Guided Visual Path Planning with RLVR Omnidrive: A holistic vision-language dataset for au- tonomous driving with counterfactual reasoning

Reference 33

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

source=pdf_text observed=2026-08-06T16:40:05.373492Z digest=sha256:1add4bc36dd991f7a7a4f2e6a2558d4b0ba69a6b37b420e640531f651e177e9e

Observation 8afd0d01-1c0f-4f39-b368-60c9b019cde5 · outbound

This paper cites Rlvr-world: Training world models with reinforce- ment learning.

LaViPlan : Language-Guided Visual Path Planning with RLVR Rlvr-world: Training world models with reinforce- ment learning

Reference 34

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source=pdf_text observed=2026-08-06T16:40:05.478589Z digest=sha256:eaf76e7de58a57a887e4ddcd6ac68feb55ef1ced447e7ed257b17f955263c659

Observation 87e32bf9-33e2-46dd-9971-ae09294f48a4 · outbound

This paper cites 9 Drivegpt4: Interpretable end-to-end autonomous driving via large language model.

LaViPlan : Language-Guided Visual Path Planning with RLVR 9 Drivegpt4: Interpretable end-to-end autonomous driving via large language model

Reference 35

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raw_fallback, observed 2026-08-06T16:40:07.276336Z

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=2026-08-06T16:40:05.616032Z digest=sha256:5aa8d4840e47b5a44dce71023755fcee972246935aa498a73df0910db05bf94a

Observation a9abee00-320c-4546-94d6-583ab6793298 · outbound

This paper cites Drivegpt4-v2: Harnessing large language model capabilities for enhanced closed-loop autonomous driving.

LaViPlan : Language-Guided Visual Path Planning with RLVR Drivegpt4-v2: Harnessing large language model capabilities for enhanced closed-loop autonomous driving

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:40:07.033042Z

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=2026-08-06T16:40:05.753049Z digest=sha256:8ebaa2b4124ffb581cd526faee35a52e56799b8a65d30d12ed147287f9003737

Observation d5e8a853-8e94-4484-9c9e-fa746b88fdd9 · outbound

This paper cites R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

LaViPlan : Language-Guided Visual Path Planning with RLVR R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T16:40:05.892668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:40:05.892668Z digest=sha256:c56e12363c281c648e35aa9c8bc6733858e7df8b3ac6a5842efc876b22cacad7

Observation c2c63c45-aad3-4f9a-9ec3-6442a2fd4360 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

LaViPlan : Language-Guided Visual Path Planning with RLVR BERTScore: Evaluating Text Generation with BERT

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T16:40:06.016091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:40:06.016091Z digest=sha256:38863e304d0aabbc9cea88e75f9b3244cc2b9c7223fcb3e62e30e5a9455a0c00

Observation 0e3ae503-4ff6-47ef-b988-31c2714bc227 · outbound

This paper cites Opendrivevla: Towards end-to-end au- tonomous driving with large vision language action model.

LaViPlan : Language-Guided Visual Path Planning with RLVR Opendrivevla: Towards end-to-end au- tonomous driving with large vision language action model

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T16:40:06.149803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:40:06.149803Z digest=sha256:24fea233799a583e013f479d418989066b81c5fc2f34d007360b7dccdc7e8cf5

Pith citing papers

No inbound Pith citation observations are available.