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Paper Citation Record · LEDGER

LaViPlan : Language-Guided Visual Path Planning with RLVR

As of 7 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 2026-08-07T06:34:17.273281+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:f8e2cff9b318294c5e2eac5591ddbb658d9ea5598aac487e6f213eb56fcb658f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:01.059829Z digest=sha256:807497a714b1e90cd0072c3a0e3c55d75d40720e4140689568108fa2bb49b739

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=sha256:18001bdd80917dd029159bdb66bf5537d5909deacc1d8dcff90e5ed7aa1f79b5

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:dac366a34181f178e5a4b750a4d5d6f75eec40f5ad3e0feb1a732fcaefc68f64

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=sha256:3dfe88842d40377ef2965bb47c6a8d4bf42aadcd53682fdff286d6f951be59b3

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=sha256:7fd3d3930836fba577b2ef0a73d072e5dbf572896ee65bcc7979e6a74f492216

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:f508b2ada7461759f040cd4ef64d2dba52116f4fbeb01ee1ed09427d46df5618

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:01.874131Z digest=sha256:1478c72365726594e6a29450e4cf65a64431d07a6dfcce7fe5d1f061cc8dfcca

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:01.988187Z digest=sha256:d7f7accca91bde344ed03e8bd48e859430007b5d06c2f851c9849d2306f0d789

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=sha256:7c5fe77a8bf36c0c9cce7f3bd0ab0b5fa83ebc999cb34c92dc8088c9f4154d8e

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:02.289510Z digest=sha256:1b7da2f0cc0f5f1f5f20f0a74b4cfc4bfadf54ecb8ff9cc9b0b0dab1bbc6753f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:02.494241Z digest=sha256:a5d5a8117ec5ad06977914798febe98ec5d896605a3bbf708caeb0f4dc545e4f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:02.641798Z digest=sha256:2809c67ab15a3d7b92bf2c02505310656505622cc4cf919d42a32bc33daa334d

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:b4f772da3a63819a8a9b069dedb910b37c97dad1f726e6a39babf4657dee1720

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:e6db1acf7a2b3474639dbf411d187979d61fa8cab6e0eb5eb3f2c4633c601e7d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:03.076921Z digest=sha256:22a1a00278952fcf0bd6ce3d239d2fd5b91cffd1ad8862d05c9ec6d60fcc6b0f

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:c8d3b393959af133606e698bbfadf217b03d5e80fe6bf19cdc49fc2374c19aa4

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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source=pdf_text observed=2026-08-06T16:40:03.359350Z digest=sha256:4b7aa067abc403959de8c1523922c7d128ebed72ffaba10e15438547a716b462

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=sha256:7b5251ee660844de6ddb2964dff7c0b96239360f2fcd316b6983c2aceedf7ada

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=sha256:633689b68315a40ec46ff27d2f8086de961a1001442768b81cd39cb2478ca750

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:f375bb0388d6cecac0406081f6d97d6eabc253c9d065398125755775dfc6920d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:03.882816Z digest=sha256:84a3a37c6c2a16076c1285d68caa5e70db2906caebae175170ff277d939a8102

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=sha256:0bd279749970f6ff136f9f6a7a0cf39219824db05232d7bf33f692b12d7619e1

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=sha256:68eadeea0fd1ed9c4693fd1b0c3772e2e5f7905ad54ee0444da287217d9cae2e

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=sha256:478792658ecf95d9bb4a8f2a1d226bfca52a5ec28bb35cafaf6a8e9d04859ef2

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=sha256:4d344a0b175c3774210b8af056973db07a3e35925adad5dae73d38730e265626

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=sha256:693777ce3b24aefc8fe441684864ffafbbda6ddcfcb3634800275d7a9d9d2c6c

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:04.677784Z digest=sha256:0eb6065ed96946156e2e588ef6a948ce7bf90433df8ce9c68b2ce909951dba08

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:04.849508Z digest=sha256:84c677788ad188a245f772c0c3915144cbb6fb0cf9a62ee738de38cee21cff14

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:f2be3327b5806eb82aa562ede4ca82954e3d683bbf1307549931f50a48697cb6

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=sha256:8dbc474c13e174dadcdc20021644af4e562be06ea207e0bef514066474015a38

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:c389e185148afe48a5845040e5f5036ed125de3e4523a4e30cb1810a630bdeae

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:05.373492Z digest=sha256:6cec1cf7c8368b9e90f814ab30a8a7ac4c861ccb82caa760107e3584c667ab7e

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:bfe4310e95061ee8961247a72cd743dc03f55abe1eb425761d9382e42bf22ef2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:05.616032Z digest=sha256:37a5762ca307609c23b795d5f5d608b174568d57be34837362a4a0ef959208fd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:40:05.753049Z digest=sha256:80c51f90f99d0838c9a8d4a1a0553c254082cb1c532d0a0db7977c247cc8202c

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=sha256:2d0d701b3e8692bb0883400c34236eb4ae5600b0f8eb22a37a2ce66dc2997e05

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=sha256:2a530fe1c30aa27790e980c650869952d5e0ecd31a22272abeef23ef26abc2fe

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=sha256:92c7351f0fdeda47586e419dd23aa8c41182ab941506e0926981ce48baa31a31

Pith citing papers

No inbound Pith citation observations are available.