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Paper Citation Record · LEDGER

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs

As of 7 August 2026, this Paper Citation Record lists 100 of 111 outbound references and 0 inbound Pith citation observations for arXiv:2608.01755.

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

pith.paper-citation-record.v1
2608.01755 v2

Coverage vector

measured 100 of 111 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:14:00.691598Z

measured 100 of 100 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

100 of 111 outbound references displayed

  • verified exact6
  • verified fuzzy12
  • unresolved80
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

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Outbound references

Observation a5540de9-5ae7-4408-a903-f8736ba54a1b · outbound

This paper cites Chain-of-Thought Reasoning In The Wild Is Not Always Faithful.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Chain-of-Thought Reasoning In The Wild Is Not Always Faithful

Reference 1

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source=pdf_text observed=2026-08-07T00:13:47.033588Z digest=sha256:8aa91ef555962fe523ce974d3c4f02926378f4f7b7cf21f811afa4704c1c0f19

Observation 37e3645c-b992-4fca-9f86-9049bf9cacf6 · outbound

This paper cites Qwen3-VL Technical Report.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Qwen3-VL Technical Report

Reference 2

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source=pdf_text observed=2026-08-07T00:13:47.108669Z digest=sha256:c033f6fe76cb636bc648ae20f21a813243cef0f04070fe4c9d4409d91a8f7f9b

Observation bed40fdf-eb37-49c0-8794-d1905d61ab17 · outbound

This paper cites A closer look at bias and chain-of-thought faith- fulness of large (vision) language models.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs A closer look at bias and chain-of-thought faith- fulness of large (vision) language models

Reference 3

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source=pdf_text observed=2026-08-07T00:13:47.227669Z digest=sha256:13b5c930f2bedd9182ce512b3b9ea5d67a9a39073a3961ac654e45c75c221e1c

Observation 2ef0a7bd-11c1-49e1-8144-78c3f944d570 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs nuscenes: A multimodal dataset for autonomous driving

Reference 4

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source=pdf_text observed=2026-08-07T00:13:47.336073Z digest=sha256:1384b2b0540b281589bcb76a889b21931418b3f6318a01418692b091c00c954e

Observation d1c55097-9c9a-49dc-bbdf-d047c057a294 · outbound

This paper cites Answer Matching Outperforms Multiple Choice for Language Model Evaluation.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Answer Matching Outperforms Multiple Choice for Language Model Evaluation

Reference 5

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source=pdf_text observed=2026-08-07T00:13:47.447302Z digest=sha256:c35a817c12efd2e1bcef39f06e12d31ad144918d4b792058f2b8047747049701

Observation 3736bf42-295e-429a-afad-e07595a9ca4f · outbound

This paper cites Reasoning Models Don't Always Say What They Think.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Reasoning Models Don't Always Say What They Think

Reference 6

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source=pdf_text observed=2026-08-07T00:13:47.574861Z digest=sha256:196d8fab71d5ec8234953964703030e0859d9f133bb1f15a730c6618c0826f05

Observation c9051719-8a3f-4a3b-b0c2-d1c42b9efe68 · outbound

This paper cites Transfuser: Imitation with transformer-based sensor fusion for autonomous driving.IEEE transactions on pattern analysis and machine intelligence, 45(11):12878–12895, 2022.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Transfuser: Imitation with transformer-based sensor fusion for autonomous driving.IEEE transactions on pattern analysis and machine intelligence, 45(11):12878–12895, 2022

Reference 7

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source=pdf_text observed=2026-08-07T00:13:47.728864Z digest=sha256:ca23fc81927620f32617e2d0c4393e6994312c5ef688fde9d4488aa45984cb97

Observation 7c96cd8c-5459-4d0e-9edb-4a7c5636b8b6 · outbound

This paper cites Embspatial-bench: Benchmarking spatial understanding for embodied tasks with large vision-language models.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Embspatial-bench: Benchmarking spatial understanding for embodied tasks with large vision-language models

Reference 8

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source=pdf_text observed=2026-08-07T00:13:47.827130Z digest=sha256:acfea8ea175cf5c2f5e868b7e5fbc8e7915178e31f5c240215a72c55c8900e92

Observation 75b98791-32eb-4264-a0f5-e0a1d862d3ca · outbound

This paper cites VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Reference 9

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source=pdf_text observed=2026-08-07T00:13:47.883840Z digest=sha256:c64a5180ee75d1abd22df6abfb5ad3325541557e970aa4b11ed6abdb11f18f80

Observation df7926cb-7bb8-40a4-abdf-503c62e707ac · outbound

This paper cites LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models

Reference 10

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source=pdf_text observed=2026-08-07T00:13:47.974758Z digest=sha256:0df1cfff3709aa6eb0453b946352f6e18508454584b4b0bc4ba52dde3332f2b5

Observation b13a36df-6e61-4002-bd65-f7408ccdc670 · outbound

This paper cites SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning

Reference 11

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source=pdf_text observed=2026-08-07T00:13:48.101782Z digest=sha256:b62b6fe9f39cd997cd3d5461c41731d98099543fa8b4b83d682f8f83cfcd4a3a

Observation ff901bf6-d2d1-4eaf-b8e7-272a206d460c · outbound

This paper cites Acceleratingstructuredchain-of-thoughtinautonomousvehicles.arXiv preprint arXiv:2602.02864, 2026.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Acceleratingstructuredchain-of-thoughtinautonomousvehicles.arXiv preprint arXiv:2602.02864, 2026

Reference 12

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source=pdf_text observed=2026-08-07T00:13:48.226559Z digest=sha256:e28ce992eb7721092fd85ec202097a9b62bf2097ea0c6a86ca53972ab75b9eb8

Observation 72d68f02-4e11-40c0-a63d-ccc56a769d0a · outbound

This paper cites Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reference 13

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source=pdf_text observed=2026-08-07T00:13:48.317242Z digest=sha256:fa5f3aafb1a0c6642cdf4f40f26cb634bf30c9b6ccd6dcd5dacef868f28919b0

Observation 01e4ef41-5556-46c7-bd13-ebbc3eb903d2 · outbound

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

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

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source=pdf_text observed=2026-08-07T00:13:48.415695Z digest=sha256:4f4c5ac8fe081b4857e24880c59cfff21fd7f88d8a346f87ec87cd119f8af222

Observation 7ffb21f1-9b76-4bda-afeb-1d88512c7fb6 · outbound

This paper cites Rethinking multiple-choice questions for rlvr: Unlocking potential via distractor design.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Rethinking multiple-choice questions for rlvr: Unlocking potential via distractor design

Reference 15

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source=pdf_text observed=2026-08-07T00:13:48.590662Z digest=sha256:80dfc59c5222af550b59088082e70cbb269a2afbcb562266afd4ed56b758b16f

Observation 5c736d20-6945-4ec3-ac5c-c925a607d96a · outbound

This paper cites Llm-rubric: A multidi- mensional, calibrated approach to automated evaluation of natural language texts.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Llm-rubric: A multidi- mensional, calibrated approach to automated evaluation of natural language texts

Reference 16

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source=pdf_text observed=2026-08-07T00:13:48.715778Z digest=sha256:2e28d35098b299e6e14ee157cd5c8d760a2ed25c72fa1b16972ab6ee20936aa3

Observation 59561603-7eac-4bee-aeb0-ffef789878e5 · outbound

This paper cites Planning-oriented autonomous driving.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Planning-oriented autonomous driving

Reference 17

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source=pdf_text observed=2026-08-07T00:13:48.905360Z digest=sha256:335323a7f4bded335c21a9bde8a4b0b74937c005cc8008313f3a2ca9dfd515e0

Observation d1a5fc21-36f9-4360-bd89-801a4f2b3224 · outbound

This paper cites Gameformer: Game-theoretic modeling and learning of transformer- based interactive prediction and planning for autonomous driving.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Gameformer: Game-theoretic modeling and learning of transformer- based interactive prediction and planning for autonomous driving

Reference 18

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source=pdf_text observed=2026-08-07T00:13:49.017650Z digest=sha256:e5d081b8a66195186206b705baddee5ce7107f2852e2e64183ff0342348c0f4e

Observation 42f8fa5b-50b9-493a-b836-7f6cced4e2ac · outbound

This paper cites Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving.IEEE transactions on neural networks and learning systems, 2023.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving.IEEE transactions on neural networks and learning systems, 2023

Reference 19

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source=pdf_text observed=2026-08-07T00:13:49.163626Z digest=sha256:b8f9cb7f53e7ca368f463dc46ee044236e5fcb0959d42ee168581498d8dc68fb

Observation 4b5ee0db-5871-4621-a20e-b5c875ea192e · outbound

This paper cites Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 20

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source=pdf_text observed=2026-08-07T00:13:49.297690Z digest=sha256:fb15845fd10142a89e69852f6b9ae1ccebc5a1d78941cc66bf93f1994fcc8f0b

Observation 0b8d3b65-e60a-40a2-97cf-1df224671efa · outbound

This paper cites Adaptive sample scheduling for direct preference optimization.arXiv preprint arXiv:2506.17252, 2025.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Adaptive sample scheduling for direct preference optimization.arXiv preprint arXiv:2506.17252, 2025

Reference 21

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source=pdf_text observed=2026-08-07T00:13:49.410658Z digest=sha256:80fe11412c87c965970035193919624e3458ea4e1789f357f4b2ac2b42e23c10

Observation 08751a42-4a30-41df-afac-b6a1c2907b50 · outbound

This paper cites Does Your Reasoning Model Implicitly Know When to Stop Thinking?.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Does Your Reasoning Model Implicitly Know When to Stop Thinking?

Reference 22

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source=pdf_text observed=2026-08-07T00:13:49.544908Z digest=sha256:463de8fb71d90406acb419b45f93f99e9f6e42a20e20ffeca19425ae543512d2

Observation 0606ce4a-4bd7-4f42-a6d9-ba1f38bd015f · outbound

This paper cites Real-time aligned reward model beyond semantics.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Real-time aligned reward model beyond semantics

Reference 23

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source=pdf_text observed=2026-08-07T00:13:49.686937Z digest=sha256:292d53c90d4856cdfebf5d62825e8cec31c6990fdf7f90efe803d63a57575627

Observation 1be3c661-3715-447e-8f01-a10970fc4e24 · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 24

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source=pdf_text observed=2026-08-07T00:13:49.834666Z digest=sha256:5827ebb5fdc1f59841c0c71339b6af97c1e0f7b922b86557e2a20f2d95639afe

Observation e5ab7b87-471b-4385-b770-47a939491652 · outbound

This paper cites Drivelmm-o1: A step-by-step reasoning dataset and large multimodal model for driving scenario understanding.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Drivelmm-o1: A step-by-step reasoning dataset and large multimodal model for driving scenario understanding

Reference 25

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source=pdf_text observed=2026-08-07T00:13:49.987621Z digest=sha256:ed219dcb1cfe2802acaa7d5d529c1da83ec6549544b5924a848ae76aabd57055

Observation 87d00aa1-d2b4-4083-801e-386964653045 · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Vad: Vectorized scene representation for efficient autonomous driving

Reference 26

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source=pdf_text observed=2026-08-07T00:13:50.157626Z digest=sha256:b45c96c475713b7d65a9ae50f42413c28087adcc2a653dde67d7fc7356d45bf0

Observation 624d246f-3efe-4e2e-995c-57485d4c608a · outbound

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

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 27

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source=pdf_text observed=2026-08-07T00:13:50.302338Z digest=sha256:871b01f9e654fc694d4cfd54b3e5766289a74625f45b869c68c00150a841fa73

Observation 43bca630-f201-4235-8887-9afbd42221e4 · outbound

This paper cites Viewspatial-bench: Evaluating multi-perspective spatial localization in vision-language models.arXiv preprint arXiv:2505.21500, 2025.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Viewspatial-bench: Evaluating multi-perspective spatial localization in vision-language models.arXiv preprint arXiv:2505.21500, 2025

Reference 28

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source=pdf_text observed=2026-08-07T00:13:50.415250Z digest=sha256:f9d2b1ea4febc87ee207c114277d4b673555d71a0d64d145fb269f5177f4419c

Observation 40085e61-1b10-41f3-89e3-a7ddefae71a7 · outbound

This paper cites Discrete diffusion for reflective vision-language-action models in autonomous driving.arXiv preprint arXiv:2509.20109, 2025.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Discrete diffusion for reflective vision-language-action models in autonomous driving.arXiv preprint arXiv:2509.20109, 2025

Reference 29

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source=pdf_text observed=2026-08-07T00:13:50.539995Z digest=sha256:47590895c0766f719cbbdcd725110483de7c3619eca59c8f6643367241ba2c73

Observation b2a47947-4088-4708-8bd2-881f10f3bf83 · outbound

This paper cites WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving

Reference 30

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source=pdf_text observed=2026-08-07T00:13:50.675770Z digest=sha256:13bc123cc4262bc81fef18e088b78fb701f913bb4a96d1f9a8d3f47cb8cf9995

Observation 818d2849-b69f-4117-993d-a48df3700961 · outbound

This paper cites DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 31

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source=pdf_text observed=2026-08-07T00:13:50.834575Z digest=sha256:2b30336c754f673b437108bc56e0413fd7eeba593c24fce81f9497d33030f448

Observation 989ca561-a6b8-419e-8ee2-5aa59ef8b3d3 · outbound

This paper cites ToolAnchor: Anchoring Counterfactual Context to Boost Agentic Tool-use Capability.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs ToolAnchor: Anchoring Counterfactual Context to Boost Agentic Tool-use Capability

Reference 32

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source=pdf_text observed=2026-08-07T00:13:50.955326Z digest=sha256:aa8b02b1066cb10d4431ca9292128cbdb05930cce017d3d9c3fbf3ee0531e179

Observation 68ee0b3e-e034-4bd9-870c-977d9bb0bd92 · outbound

This paper cites Automated optimization modeling via a localizable error-driven perspective.arXiv preprint arXiv:2602.11164, 2026.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Automated optimization modeling via a localizable error-driven perspective.arXiv preprint arXiv:2602.11164, 2026

Reference 33

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Observation d0b99bf7-ce47-4b0d-8b60-c5bc4d372a13 · outbound

This paper cites Styletai- lor: Towards personalized fashion styling via hierarchical negative feedback, 2025.https://arxiv.org/abs/2508.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Styletai- lor: Towards personalized fashion styling via hierarchical negative feedback, 2025.https://arxiv.org/abs/2508

Reference 34

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Observation 73fc787b-6486-46b9-8495-1bae236fc0d0 · outbound

This paper cites an unresolved cited work.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Unresolved cited work

Reference 35

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doi, observed 2026-08-07T00:14:03.688542Z

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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=2026-08-07T00:13:51.321246Z digest=sha256:eddb6dca717208545877d8e9b7c64b769863941fba0030f91166310fe70ef770

Observation 4b44303e-9fec-4e6b-bc61-f8586116b18a · outbound

This paper cites Thinking with blueprints: Assisting vision-language models in spatial reasoning via structured object representation, 2026.https://arxiv.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Thinking with blueprints: Assisting vision-language models in spatial reasoning via structured object representation, 2026.https://arxiv

Reference 36

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source=pdf_text observed=2026-08-07T00:13:51.435910Z digest=sha256:df3ff91333146d2f6474b58a8014b10dfa09c076b126ea9919cf647f6fc6e9de

Observation 136a6527-eb2f-413e-85bd-dd6c0f26dbc3 · outbound

This paper cites 3dsr- bench: A comprehensive 3d spatial reasoning benchmark.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs 3dsr- bench: A comprehensive 3d spatial reasoning benchmark

Reference 37

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source=pdf_text observed=2026-08-07T00:13:51.560712Z digest=sha256:5c4eddc7d586b450fcf8dfd4a71dfdf812a0cbf269f7cc6ccd72618dfb9fbfaa

Observation c68357fb-2476-4dbe-a095-173cd9bbbbf8 · outbound

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

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs GPT-Driver: Learning to Drive with GPT

Reference 38

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source=pdf_text observed=2026-08-07T00:13:51.707569Z digest=sha256:1b3f51491252bcb1e9ed01f56b0ba340bc638cfdfb8b1bea2169ef7e3798dc21

Observation af3c3ead-debf-4a67-8aab-aa344f8aa35f · outbound

This paper cites Lingoqa: Visual question answering for au- tonomous driving.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Lingoqa: Visual question answering for au- tonomous driving

Reference 39

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source=pdf_text observed=2026-08-07T00:13:51.834381Z digest=sha256:26e4afe8fc36ac7c85cb7ec79e42d8fde04decf9fd2663ed3a74d1b51cc0f337

Observation 5f2175ba-f291-4166-bea9-34a7ab179190 · outbound

This paper cites Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving

Reference 40

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source=pdf_text observed=2026-08-07T00:13:51.925292Z digest=sha256:9e951d8f20e61d62cb33097566229829ad51080eea1cbfd92548b8b2d9bb01ab

Observation f0ee207b-c55a-4e66-8c0d-ed0387791095 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 41

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source=pdf_text observed=2026-08-07T00:13:52.063625Z digest=sha256:1cca86a8d87ded7fe0ada698ab151e25411d389df8bc688ab0838526f485ca40

Observation 5ac5ac03-794d-49fc-a791-4158bcbd2c00 · outbound

This paper cites NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models

Reference 42

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source=pdf_text observed=2026-08-07T00:13:52.227293Z digest=sha256:9c3224d43c227a7240a46663aeb9936eb6d39a0521bd13173076e9fe7a867aba

Observation 5691f972-4a1d-491c-9c63-b90b813413c7 · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 43

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source=pdf_text observed=2026-08-07T00:13:52.321386Z digest=sha256:08ee43c0fe705024b31bd76f6aba8554ae50109803d2b10ece0440e12b3ad99b

Observation b1a9788e-9ca3-4642-9a94-ca446a17b396 · outbound

This paper cites Trajeglish: Traffic Modeling as Next-Token Prediction.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Trajeglish: Traffic Modeling as Next-Token Prediction

Reference 44

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source=pdf_text observed=2026-08-07T00:13:52.439990Z digest=sha256:6ac9605f20a0cfe208628726d252163d3f531895c3f9eef5cc125c6bc2c6c15c

Observation b570caba-ad28-467f-925e-188de92a5f2d · outbound

This paper cites Nuscenes-qa: A multi-modal visual question answering benchmark for autonomous driving scenario.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Nuscenes-qa: A multi-modal visual question answering benchmark for autonomous driving scenario

Reference 45

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source=pdf_text observed=2026-08-07T00:13:52.595662Z digest=sha256:b1d5183b14b5af772fc5cea8683ba3afaa4b11f13edee43bf44685fede47371f

Observation 78cde6e3-eadd-4104-863d-bddab02d0430 · outbound

This paper cites Qwen3.5: Towards native multimodal agents, February 2026.https://qwen.ai/blog?id=qwen3.5.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Qwen3.5: Towards native multimodal agents, February 2026.https://qwen.ai/blog?id=qwen3.5

Reference 46

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source=pdf_text observed=2026-08-07T00:13:52.735298Z digest=sha256:44a930c3ff5cd45570912400dbbcc615894e8b3b8de1f8642570da2abf00ec5e

Observation 769a9627-e2eb-4afa-963d-307e1e32e956 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in Neural Information Processing Systems, 36:53728–53741, 2023.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Direct preference optimization: Your language model is secretly a reward model.Advances in Neural Information Processing Systems, 36:53728–53741, 2023

Reference 47

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source=pdf_text observed=2026-08-07T00:13:52.885193Z digest=sha256:7919a30cbe2ccc94555f5a9ac6d1048c8ffe260ce7aa1f768f52dbf9605f7569

Observation f66d19cc-d9d0-4c17-aad8-3cfba1fb2e89 · outbound

This paper cites Autorubric: Unifying Rubric-based LLM Evaluation.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Autorubric: Unifying Rubric-based LLM Evaluation

Reference 48

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source=pdf_text observed=2026-08-07T00:13:53.019759Z digest=sha256:737fc06bfa8f2c9acd620ef5afd42957513e8bc08c85a1be60b849e62367ba18

Observation 09c05952-3dc2-4176-88b9-1bebfd0e2226 · outbound

This paper cites Online rubrics elicitation from pairwise comparisons.arXiv preprint arXiv:2510.07284, 2025.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Online rubrics elicitation from pairwise comparisons.arXiv preprint arXiv:2510.07284, 2025

Reference 49

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source=pdf_text observed=2026-08-07T00:13:53.145889Z digest=sha256:a0fbccda07bcc1be85ae8f57c1fa3315c19987c39c664038f2cac0f6363ea456

Observation c08a6970-11ec-4b5c-b5a8-864ef7d86458 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Proximal Policy Optimization Algorithms

Reference 50

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source=pdf_text observed=2026-08-07T00:13:53.297588Z digest=sha256:6cb670044defc9764b1973e5b8f782a2c3e6ca059e7a3c851856bed5f8516fe3

Observation 1e5a6a08-8889-4ac4-9473-8083cbca5c51 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 51

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source=pdf_text observed=2026-08-07T00:13:53.462303Z digest=sha256:c64342eb131446d7d891856b55b8c22e8f1974314fb3e08e014026adc4d106b7

Observation a4a0a803-cf88-4ae5-ba67-6f6091fc2a89 · outbound

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

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Drivelm: Driving with graph visual question answering

Reference 52

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source=pdf_text observed=2026-08-07T00:13:53.624371Z digest=sha256:95bfb7030a29b775793acca0273d39193388a6fb911dc153ce9d7a24a7c332a3

Observation b771a283-7ef5-4545-8846-63fca516bb3f · outbound

This paper cites Robospatial: Teach- ing spatial understanding to 2d and 3d vision-language models for robotics.arXiv preprint arXiv:2411.16537, 2024.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Robospatial: Teach- ing spatial understanding to 2d and 3d vision-language models for robotics.arXiv preprint arXiv:2411.16537, 2024

Reference 53

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source=pdf_text observed=2026-08-07T00:13:53.805031Z digest=sha256:946a19d6a835cbc15bcdd428e7895ebba001d7c19870120db08ef5907a08254a

Observation 30689e9f-e1d7-4e45-9a56-738babba498e · outbound

This paper cites Probing perceptual constancy in large vision-language models, 2026.https://arxiv.org/abs/2502.10273.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Probing perceptual constancy in large vision-language models, 2026.https://arxiv.org/abs/2502.10273

Reference 54

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source=pdf_text observed=2026-08-07T00:13:53.926799Z digest=sha256:9f6bf22f925ad8cbf8cd0dda74626d550ab08cb35b3c82d74b0761f97952ef6f

Observation 54e91649-8c9a-4ea3-be1d-0d68e6b0e1c6 · outbound

This paper cites SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 55

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source=pdf_text observed=2026-08-07T00:13:54.041411Z digest=sha256:a0a7b866b9838a794652a11e43a62e5c27dbbea47925c5fae0989d8322edf41c

Observation fa79d964-56ba-4d0a-ad24-83a998bda9ae · outbound

This paper cites Flow matching-based autonomous driving planning with advanced interactive behavior modeling.Advances in Neural Information Processing Systems, 38:38310–38335, 2025.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Flow matching-based autonomous driving planning with advanced interactive behavior modeling.Advances in Neural Information Processing Systems, 38:38310–38335, 2025

Reference 56

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source=pdf_text observed=2026-08-07T00:13:54.177633Z digest=sha256:ec6ca3aab2159c891dc6f5059e02b698f4c065176ea6b67fb6ae799c228c7f96

Observation f1a31df8-0be8-45a1-9744-e63c06701986 · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Gemini Robotics: Bringing AI into the Physical World

Reference 57

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source=pdf_text observed=2026-08-07T00:13:54.338580Z digest=sha256:e56652f07aab2534dcd2eca8ce4e21a85e37b7cde95d7475337db3b505f6e316

Observation 3849e7db-01bc-4f92-9a52-7b3d68c22b2a · outbound

This paper cites NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 58

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source=pdf_text observed=2026-08-07T00:13:54.468344Z digest=sha256:6db2d5d04c6e14a7b7b5847bd2815673ebaacb07fc26e765aff936b056376fd5

Observation 4bd82a91-a89e-4002-9219-1633f66de50f · outbound

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

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 59

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source=pdf_text observed=2026-08-07T00:13:54.641521Z digest=sha256:680f48e9117e3e2f2f0941095cf661ee18861867cf22a534c570749238b43757

Observation 91a7480b-3043-4e73-b801-88445707c9c1 · outbound

This paper cites Cambrian-1: A fully open, vision-centric exploration of multimodal llms.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Cambrian-1: A fully open, vision-centric exploration of multimodal llms

Reference 60

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source=pdf_text observed=2026-08-07T00:13:54.722781Z digest=sha256:4d94989c51e5edcb1eb37284a453ffde2cd4f563e12fc3852b4646c242cf2145

Observation 197feba7-606c-4ebb-b906-39394f73ce51 · outbound

This paper cites A very big video reasoning suite.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs A very big video reasoning suite

Reference 61

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source=pdf_text observed=2026-08-07T00:13:54.878551Z digest=sha256:2bfe05cbc906cd92d58fe3bb8dc4a020b9375bcd243c9812b9812a02b4b9e9f5

Observation 4548ad4f-aed4-4a03-9676-f4e108757a51 · outbound

This paper cites DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving

Reference 62

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source=pdf_text observed=2026-08-07T00:13:55.007312Z digest=sha256:4252e525e3659ccdacfbabb07d8fef7a7c0cf35ea849fb98a754482bfb368dcf

Observation 23943fb2-b71d-4f94-b8fd-1f79ea790e71 · outbound

This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving.arXiv preprint arXiv:2312.09245, 2023.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving.arXiv preprint arXiv:2312.09245, 2023

Reference 63

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source=pdf_text observed=2026-08-07T00:13:55.166288Z digest=sha256:0361a4d56404b2658bf7a02a7a4298d3bf22288556295dd9173df7e95995475c

Observation 1116decd-665d-4709-9c76-8450e07a6162 · outbound

This paper cites AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions

Reference 64

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local_arxiv, observed 2026-08-07T00:14:05.985535Z

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=2026-08-07T00:13:55.289604Z digest=sha256:018cb6918b07eccd8905de5c16e87bf1e84fa767d7e608c9d080157f7fe63486

Observation 014e9948-822b-4be2-ab84-516643ec1fcd · outbound

This paper cites Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models

Reference 65

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source=pdf_text observed=2026-08-07T00:13:55.402063Z digest=sha256:8abdf0a63d6ad20796321048c02150c0b06bddf54aa66ac6d9e52a147623d8a9

Observation c630951c-7412-49c8-9b58-4ee6fe76d115 · outbound

This paper cites Star-s: Improving safety alignment through self-taught reasoning on safety rules.arXiv preprint arXiv:2601.03537, 2026.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Star-s: Improving safety alignment through self-taught reasoning on safety rules.arXiv preprint arXiv:2601.03537, 2026

Reference 66

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raw_fallback, observed 2026-08-07T00:14:04.903985Z

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=2026-08-07T00:13:55.562366Z digest=sha256:7c1e4f6400cffd70ffa9edce97a50e719afb0a0275f65ef4bcce70b09531d9a3

Observation 03133271-eb44-4b39-942b-fb4a65064569 · outbound

This paper cites Smart: scalable multi-agent real-time motion generation via next-token prediction.Advances in Neural Information Processing Systems, 37:114048–114071, 2024.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Smart: scalable multi-agent real-time motion generation via next-token prediction.Advances in Neural Information Processing Systems, 37:114048–114071, 2024

Reference 67

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source=pdf_text observed=2026-08-07T00:13:55.682395Z digest=sha256:7061a27441856db23a565497c1e5870eac38c4fa67e2eb8af754eb083dcfcf4e

Observation 887acd8c-2e26-480c-86f1-fdbd83429a5d · outbound

This paper cites Preemptive answer “attacks” on chain-of-thought reasoning.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Preemptive answer “attacks” on chain-of-thought reasoning

Reference 68

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doi_truncated, observed 2026-08-07T00:14:03.425977Z

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=2026-08-07T00:13:55.884092Z digest=sha256:5f2a0fc6b1bce2cf88c0f9aa4a49c7a1656c7fef0f6f7d094161cd0b7b89edf7

Observation d9f80fad-eb42-44bd-961c-881a1961ce9d · outbound

This paper cites Wod-e2e: Waymo open dataset for end-to-end driving in challenging long-tail scenarios.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Wod-e2e: Waymo open dataset for end-to-end driving in challenging long-tail scenarios

Reference 69

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:13:56.042764Z digest=sha256:23db4baad22a9f8288d466f73755ee0a5e1038518466fc82c090508bcdc6dde5

Observation a3f8ca6a-0e92-4857-937f-c76f0c62afd5 · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Letters, 2024.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Drivegpt4: Interpretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Letters, 2024

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:56.152179Z digest=sha256:56c2b8ee15ecbca8d35bc51150ad5dcb9ddba23cd2000644a80cf134adf450e7

Observation b115fe32-bc86-41a9-994e-99a204deee91 · outbound

This paper cites More thinking, less seeing? assessing amplified hallucination in multimodal reasoning models.Advances in Neural Information Processing Systems, 38:82878–82905, 2025.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs More thinking, less seeing? assessing amplified hallucination in multimodal reasoning models.Advances in Neural Information Processing Systems, 38:82878–82905, 2025

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:56.263755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:56.263755Z digest=sha256:6e3ea69db359ff83637e903ff2e6c535a40d9fd626c60e2e7e861a2480ec296b

Observation 5a378191-ec13-4ee8-b169-ddcc2c04e6b4 · outbound

This paper cites Qwen3 Technical Report.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Qwen3 Technical Report

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:56.398834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:56.398834Z digest=sha256:dca2824ae0fae229bd17a7cccade13deeea4cc5c2df40c18bbbb9ffd4757e591

Observation 6d327d90-ed7d-46f3-ab30-40747ad26b1a · outbound

This paper cites Batched contextual reinforcement.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Batched contextual reinforcement

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:56.530935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:56.530935Z digest=sha256:a78739ebd4e8ea0d6f413812abb048d962207c22df85851d2cc6a9f944279e0a

Observation 307291b3-ddcb-4ff0-9410-c58997c748fa · outbound

This paper cites Depth anything v2.Advances in Neural Information Processing Systems, 37:21875–21911, 2024.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Depth anything v2.Advances in Neural Information Processing Systems, 37:21875–21911, 2024

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:56.677454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:56.677454Z digest=sha256:d38bddf76b8fdbc64c8319fedc871137948920749aefe278760af4f200303ad5

Observation 4f8af9f3-3440-4418-a848-5dfceabf145f · outbound

This paper cites MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:56.779106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:56.779106Z digest=sha256:e0b80af33afff40d90d8cc12946b873e2b65c1e885716e17e1d7637a22c5876c

Observation 097a0c43-9813-4b3b-b1b4-1ebbd96ecf14 · outbound

This paper cites Fooled by facts: quantifying anchoring bias through a large-scale experiment.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Fooled by facts: quantifying anchoring bias through a large-scale experiment

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:56.857718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:56.857718Z digest=sha256:8c29e8b8dacc96b547609c79cb29ef4fbb6b8f3ee978102ca562facd01aab514

Observation e3db451a-ec9a-4619-a89d-5ad6ff6c9704 · outbound

This paper cites Vulca-bench: A multicultural vision-language benchmark for evaluating cultural understanding, 2026.https://arxiv.org/abs/2601.07986.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Vulca-bench: A multicultural vision-language benchmark for evaluating cultural understanding, 2026.https://arxiv.org/abs/2601.07986

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:56.935538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:56.935538Z digest=sha256:7a8adafb87ca00dbbaaa503dab03b35754e163ea0535df32f31b4fe1d4362a18

Observation 7935c0da-edda-493a-85ad-75562bbeb18f · outbound

This paper cites Promoting efficient reasoning with verifiable stepwise reward.Proceedings of the AAAI Conference on Artificial Intelligence, 40(41): 34530–34538, 2026.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Promoting efficient reasoning with verifiable stepwise reward.Proceedings of the AAAI Conference on Artificial Intelligence, 40(41): 34530–34538, 2026

Reference 78

Resolution
verified exact
doi, observed 2026-08-07T00:14:03.183578Z

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=2026-08-07T00:13:57.037160Z digest=sha256:eac64fbfe3be660ddf508703e26de0feb6d897df445fd94ff352e43916dccc78

Observation ccac55f8-5bb8-43f1-bf0f-378109b7f667 · outbound

This paper cites WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:57.120069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:57.120069Z digest=sha256:341c5d20f4e830196a07c251cf798a650f761276a6090ba42db96a402fbcc824

Observation 856b6b33-650e-4e75-8a38-0ee3bbd5d889 · outbound

This paper cites Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:57.230752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:57.230752Z digest=sha256:35e7e2719f5f3fe477437072d7503f76021b5993355e100b9d7331b7ea29107a

Observation d5493e16-2183-4dc9-9d82-6e02e336660d · outbound

This paper cites Heterogeneous Agent Collaborative Reinforcement Learning.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Heterogeneous Agent Collaborative Reinforcement Learning

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:57.353958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:57.353958Z digest=sha256:79ea361b2b2de6afd0fafaa82ad6c2fe2dfab969006f6cdcfc6f84eeaa81e2bb

Observation 8d5fabcc-6ad1-42ea-ae84-b513330ccf3f · outbound

This paper cites CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:57.424142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:57.424142Z digest=sha256:543c03ba1cbfc889000d3f5826f7203435f26d30b371bd1cd5398051483445f8

Observation 8faca200-dcb0-4e0c-93e4-8801fd43ca62 · outbound

This paper cites Genad: Generative end-to-end autonomous driving.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Genad: Generative end-to-end autonomous driving

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:57.565705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:57.565705Z digest=sha256:5d477eca2dafc6207f2a02e66f79a3c28bbeb72a873738011066619e96f0d4b7

Observation 45831493-132a-422c-8d5b-faf033c7b7de · outbound

This paper cites Roborefer: Towards spatial referring with reasoning in vision-language models for robotics.Advances in Neural Information Processing Systems, 38:28404–28481, 2026.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Roborefer: Towards spatial referring with reasoning in vision-language models for robotics.Advances in Neural Information Processing Systems, 38:28404–28481, 2026

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:14:13.269725Z

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=2026-08-07T00:13:57.661568Z digest=sha256:e038da2c238d1faa54e6ea7027c55581ce2011e25574fae45b5d3816392ec581

Observation ae81ae6f-f890-43a9-9ff7-a3d945e4646d · outbound

This paper cites Opendrivevla: Towards end-to-end autonomous driving with large vision language action model.arXiv preprint arXiv:2503.23463, 2025.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Opendrivevla: Towards end-to-end autonomous driving with large vision language action model.arXiv preprint arXiv:2503.23463, 2025

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:57.855726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:57.855726Z digest=sha256:0bda428c555c33dddbe6843ccb2032ddec3f4ecbfc363d5a737c11bbb95c33f3

Observation 262dd6b9-f097-4a03-a573-636550932334 · outbound

This paper cites LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:57.979171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:57.979171Z digest=sha256:e52980a495916e780e68b3bef78429253df05333ec99c3e75db6662910ff95f7

Observation d6362aed-87f9-48b5-aca1-61bca2fc8da7 · outbound

This paper cites Autovla: A vision- language-action model for end-to-end autonomous driving with adaptive reasoning and reinforcement fine-tuning.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Autovla: A vision- language-action model for end-to-end autonomous driving with adaptive reasoning and reinforcement fine-tuning

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:14:13.115533Z

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=2026-08-07T00:13:58.121760Z digest=sha256:5c151c8159bdd5d1057f08ef50cf69a7987849acad68e25ba84ad950ec6d243d

Observation fe565ac7-914d-4451-a3d8-431d27d209fc · outbound

This paper cites The surprising effectiveness of negative reinforcement in llm reasoning.Advances in Neural Information Processing Systems, 38:126546–126573, 2025.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs The surprising effectiveness of negative reinforcement in llm reasoning.Advances in Neural Information Processing Systems, 38:126546–126573, 2025

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:14:12.883974Z

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=2026-08-07T00:13:58.278782Z digest=sha256:771d17310c7c6b363d84e64326dd7cc369c41149411a3068cf0c041f730991c3

Observation a6c1fda9-d6e9-40bf-b914-e70747cf9a85 · outbound

This paper cites Do not invent or compute hypothetical trajectories here.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Do not invent or compute hypothetical trajectories here

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:14:12.019450Z

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=2026-08-07T00:13:58.828000Z digest=sha256:1c0a974eae098de42d3e19d65d68b254534e45033c1193419ff7d85d176f5b4f

Observation 9511abe7-08ea-4168-867a-7359a7ea4dd2 · outbound

This paper cites This decision holds REGARDLESS of which way the road goes — never default to holding speed just because the path looks clear or because you are unsure where the road leads.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs This decision holds REGARDLESS of which way the road goes — never default to holding speed just because the path looks clear or because you are unsure where the road leads

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:14:12.197945Z

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=2026-08-07T00:13:59.247443Z digest=sha256:02bdcd8f06f3f667b15580823fd30ab002f4e225c8d58c90e567b0c1038acbba

Observation 80980ab8-95e6-48b4-b553-2e9eafb8fa36 · outbound

This paper cites velocity.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs velocity

Reference 96

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T00:14:04.430197Z

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=2026-08-07T00:13:59.378280Z digest=sha256:9ad0776c73e255b7adea62cf34d6982d5571b1311d3c25849e24d463b9d58645

Observation 70dc864a-7899-4dee-bbb1-4dd27027f606 · outbound

This paper cites This decision holds REGARDLESS of which way the road goes — never default to holding speed just because the path looks clear or because you are unsure where the road leads.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs This decision holds REGARDLESS of which way the road goes — never default to holding speed just because the path looks clear or because you are unsure where the road leads

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:14:11.683191Z

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=2026-08-07T00:13:59.732533Z digest=sha256:653ed0e618743868d0ce554bd0f4a8def04d38e98b4de7a43aa914ed3d691f6f

Observation 2c828289-e905-4c64-9955-11ff023f87df · outbound

This paper cites Never infer an unseen future event, hidden traffic-control state, or hypothetical agent behavior.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Never infer an unseen future event, hidden traffic-control state, or hypothetical agent behavior

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:14:11.514404Z

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=2026-08-07T00:13:59.863294Z digest=sha256:c218d4364968be0c2eeea8087ac0d0ca4f601109378f211c904eba9a41a6d3fb

Observation c4bcd24a-e947-4be8-b1f3-d9e997f0f767 · outbound

This paper cites Do NOT prescribe an oracle maneuver, exact future speed, trajectory, waypoint sequence, or option letter.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Do NOT prescribe an oracle maneuver, exact future speed, trajectory, waypoint sequence, or option letter

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:14:11.318520Z

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=2026-08-07T00:14:00.029233Z digest=sha256:dde40889d7cbc7d11362e04a22ea8b57a482d803f453ae08fcb4ec91446a3ed8

Observation a5e16074-fdd0-42c4-b302-fcc26565e40d · outbound

This paper cites is specific.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs is specific

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:14:11.065424Z

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=2026-08-07T00:14:00.120790Z digest=sha256:6a4a6eb95dab33d95a7c65325b0e328a153600dc9e2f1cf6160b4b8e54349686

Observation 0062f40d-44ec-48e9-b8c9-a9ef36fc8faa · outbound

This paper cites Merely mentioning an object is insufficient.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Merely mentioning an object is insufficient

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:14:10.882682Z

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=2026-08-07T00:14:00.228082Z digest=sha256:c3a0715e8076b20e32645b7808a65fb022e982112e48d9852407f87c4d8956ac

Observation ea579443-7f07-4da0-ab4d-88e811ea8d50 · outbound

This paper cites an unresolved cited work.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Unresolved cited work

Reference 104

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:14:10.585718Z

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=2026-08-07T00:14:00.359985Z digest=sha256:f2120f885a37db8104c71d21e46b457cea2343e9a3b7df931c6dac629fff2ccd

Observation d2dc2a30-b63f-4a00-b074-02c0562fe24a · outbound

This paper cites avoids asserting a traffic-light state that is not clearly visible,.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs avoids asserting a traffic-light state that is not clearly visible,

Reference 105

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:14:10.313256Z

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=2026-08-07T00:14:00.458378Z digest=sha256:ae371ac53f2c2c1ae0a525ff18427ad917a78265cb423cbe3f43e0b717ea6321

Observation be323fb5-aebb-4711-95f3-f5ecd460bb06 · outbound

This paper cites an unresolved cited work.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs Unresolved cited work

Reference 106

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:14:10.079388Z

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=2026-08-07T00:14:00.562290Z digest=sha256:902257595a1c8b9edbaa5e75dd271e5b67662197754b1c3ec2b3a91ac8c43391

Observation ac5c0f83-b227-46ee-bc95-178a3e512e5f · outbound

This paper cites 1":"PRESENT.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs 1":"PRESENT

Reference 107

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:14:09.828039Z

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=2026-08-07T00:14:00.691598Z digest=sha256:f0f40f2f99af3f5ea4e6a3247103068beb94b00b1d2d823b4baf229d7f6f8c1e

Pith citing papers

No inbound Pith citation observations are available.