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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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

No source-named external measurement is stored.

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:c2e0c431914391f0b6fe19de0599e3b95339de59716b4bcb3fb69f092e3225bf

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:c10bdce5f04e3af7d7495cbb8e8bec33f5c428276185c5337bce6a8365c1c15f

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=sha256:36678e2415b63d47a5c3134b0c2911e66e98ae37137bac51460e7ab635ce69e6

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=sha256:242df4d9ae9556d0b20b6c52df286229173398d9c79927425009c70794ec9734

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:f958a2a5f66529e5ea20961f8fd97e7af04282937cb3ffe4356757a2cc6947d9

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:de69fda61dce87d9ebf4e8c0db2c3687c92bf27fce04c24394196d5ecf7e69c7

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=sha256:756bda67c5beffaf9082e02178714806a133edb21e89123f14b9421affc6bd97

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:af61117de88b97daef5ba534375404c7249d0a55902586e3285cc954b9c03ff3

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:d4724863383ee8c6b828e0d72333b35b2f32675806228ad5d87ec54c791aaaaa

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:ef17870d808c92335db7bf96c4562ea5f197241334f3427014dd3dec379ca410

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:cbba145e3076ba10d880cd88c9d6dfc441a1a063b7a6e3f60e1ceab0f0828969

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=sha256:055c8ba161055319e4d8a8e80009c90687634eaf7455b0df376c473f1df20f0f

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=sha256:2d5c7eeb393fc31db373650740025d281a99fa13de18022321b67d7cc924e1aa

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:ea410daed1818bbb6c2cf120d650a2306c28d5a3d85fb0aa05cd020c01ce65df

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:bceb8098584447b71f12b8daf4f6b2cf642bd6a9b7270468f8b75144b018f225

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=sha256:2b5485e412564f0ad9a4a37e9a6da38cb40702e01076c5dfa7f99f6170f618d6

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:f033919319ac07c59de8180f0c87385fd2d39dea7b104f03b238109dffd62e13

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=sha256:80fdeb3d4addc7ee426cb9de5895e6a3cf00438e02b7b03a3ded905eebe624f0

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:e1e82fb1e08c868e6a686c023ada880c1f12d27737ccc49342f5f6a0301dc60c

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:a83d052699479ff57d6626a1c15c98d4d49e6d2ed87aff27fed3fdfc4cd7be63

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=sha256:24be719d3a775f8f5c8241122bf83d1d4e451a381a358f1aa8214ad1a851a475

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=sha256:16e335f5296fa2dad228c541b361f23a4c1f85ed098943a91129e57107ae7b17

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=sha256:9b72ddb425656bc9ccc0d98549f791b1bb21f60834c69bc519d53b77b0b134a8

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=sha256:70c86878b1fe46fea2104a4e2c8642e27d379a34eeba8cf24527dfd37a31f0fb

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=sha256:6834c7e956b2f844804376cac38d650ec0b5cf8a3e2b3a4f752ded796c3952ea

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=sha256:46b7a42d075d2bc26f42f2efadfccc61d71d9a78ac60e6b3ca4223695e81cbf9

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=sha256:8e7f31aa23585f45d46e3158bd794b9986bbbc1eb57f8a9238e404970bb85158

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=sha256:60dfd36289032d0e0913ea09155b596e677afe5978cddb2d48608270c5cc9805

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=sha256:6fbab4d3bb3c77d6a06900d06492b8ae0522e0f6f7f2e093a96d3cbe8adc4554

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=sha256:87f0dbe059b55fc6410dd359fc543453a16b7f0c3420628e23cd870cd950dd7a

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:f79dde7ed6f821643aaddb9e8e5f7ce8f3a3e582e9ea54fda2b2a4481a7dc5d7

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=sha256:434795ed5afa6828c81fcd19440e38bf5d08bd6e6c381d4e2554325edd4b6c03

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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source=pdf_text observed=2026-08-07T00:13:51.077976Z digest=sha256:0d42796f6ede88e503146ff53d28b393b46d9ddbc8ba10c4285262d4adf51913

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:51.321246Z digest=sha256:65fb98cbcaa51af5fff717ef5a790d9a0e4a45a39711a7b06567a9989b0faf1e

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:c5e0055dc2feae3511180889abbaa0978a702587843167abf704bd6bb9e0e5f2

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:d4eb1612d5f5c35bef4ce793efb2c88e38b4404243291cd8725b5cc08ee90914

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:a57b5f02aa203afc274e27236a56afabe9ece5183ab95bee4ed303f77b161980

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:a43ba99097ea2bdae8faf02e26bce4fcade704857242148dd480a70734293475

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=sha256:0dd794c6117cafeb42cd632291cf5a069616973e9eca5571028d4e708d4f0d55

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:b506cff09ecd5f7a4028bf6b1234097daf0b88b5313459026e3e99ae9581e289

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=sha256:47d7726988a95b9dcd584106258fde8a4ba49169163f933a15c7fe11c8411dbf

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:a6631aee9ed5eaf553b41d71c99d263d875ebb197054f3ca45be2aa8bea9c9dc

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:d1970188767d49c1ad8e35f96b01d5bd52b30c6c31de2273f1e7b0a02cefdd79

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=sha256:6c7f0a24b7865c902537f83f479f081be5d411612eda7eba0265d1c59ab96ae9

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=sha256:18ec1b65b39a049c9539e0e4e6da3d5fb8592ec6da30b3f535250c8c12629a03

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=sha256:9b53b5c549bdb8e4566e3d0d82677b48ee4836b0cdadbf5ea9db349638aa0eee

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:a0b8b69aaf617f8949a1722cbd057c2d636e78b9ca13dc7bfe120de362f51865

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:d71c12907b630a8a41baaffb2cf43c475bca628f2089c6f05152248d0ff54f46

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:e2ce7ed62b857858b6f75edc4358db3279146fce74c42054ebeef3cd98858eda

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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no resolver link, observed 2026-08-07T00:13:53.462303Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:13:53.462303Z digest=sha256:2e4e7e430b89edb0c42aa2bc1ec7b3e0eabd2930ebb9cfbb66bcf1cda3cb88ec

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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no resolver link, observed 2026-08-07T00:13:53.624371Z

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source=pdf_text observed=2026-08-07T00:13:53.624371Z digest=sha256:b0138f0ab8693a5e7bd976c2ded3ab6830b38c5ecf62792451cae5d591c3d8d9

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:ce83586879fff6243a08edd1aa55fa10e40b76d01daa9a6f6fa0326a095f38ef

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=sha256:7e5cc19ea09e7537b006dbf08f90ac8112aff50b65e42ad2f4b1e361d39980f5

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:f3439cea31bfc482dbade9b434a6209b25f372fc29e83fd21a3fd59b6050fca4

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:b3c3158a1b7f54fdd51b0b32484a253e7efcbac0c44bbbce6861ed91c205e312

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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no resolver link, observed 2026-08-07T00:13:54.338580Z

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source=pdf_text observed=2026-08-07T00:13:54.338580Z digest=sha256:90b363beefa2e06927097ecca919e1026b1a387937b9ee943e5c0de1a1926639

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:bfc786f5c9fdf25fd9460d29b0a4d1d7ba53194186caf1cea33679785c04945f

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=sha256:61441dd999f728873ea56814990007d397d9b18c42c622f850cc02caea4ec49b

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=sha256:832caa6d708cba84acfbdbfe86e9753456e9cad1b62b112e6fa5bebb76113fd7

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=sha256:1a1ea492f1e0bb039513732e91b121b975bb4b8a1141177af698f53c598d07e8

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=sha256:810b67be8169511ececb5058923b70f03d28f068a6baa5f9bcc29b64073dc731

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=sha256:031c799222add0b6980071249512ad54b42daa8e90777c2a64b7c6a8cb8e8147

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:55.289604Z digest=sha256:3d289f3840ff66e4c4b9c7112db987add76c3571cca0638d9ef44c43d16f0411

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=sha256:9c166304166a86bc72a07e2a2e1d4e8f5931052ffca798d78b2718327763d8e1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:55.562366Z digest=sha256:554c8e10a7428d8f70515d2e88bb389b143326bde0c768c1443afa66a2224ef8

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:b17444335c181263f6a9ae0385dc3fb8c7f10092787b33cb20d97cc00db3bf77

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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malformed identifier
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:55.884092Z digest=sha256:1496b2649116b583a38f62c4f1f19bc0d60c45e56dd56fbf8b25459e872c04a4

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=sha256:4e87139cb61fc02d0a9bef3fd5774a6845cb122ae5174f43b2afe476fb9b9550

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:e9447c8a223b4e9ac30ebecae9b6fe3f66032e32a8d6a951cf6aa8c7b4ff9105

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:b3c678177bcfb10b8281110f3def924ff153fde7ac07a0161ed1df9d13622950

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=sha256:711cd8ec793d063c0456b6d3e3ec781cd41079073802f762a38149dbe8d0dc37

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=sha256:8e0b021ec4c82050cc834d7bf9702c300ff3ccc0275b663ffe3b384ae5b9f3a0

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=sha256:299b175c97aeeabb3df6d3ad37a3eb167e6ad9ecb0e2d803f776558ab16ea83e

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=sha256:9a53b379568d3cd6150f78e43e1e789b0d7a7baf0e62b303ec2ffdb996171565

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:a46edef3a5b3c6e6bf027d51bae4cb868c09f067066f290ebaf84b2f645f6cf5

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:a83ee4e1de1d2ca09a5375b8c29be6ed5b4497a247bb89d4026871311b5862ea

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:57.037160Z digest=sha256:7df135005de944e5560201a0ed567ba07a60f57d9ea970d14fe134424d0b0082

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=sha256:358aa0ce2dc8c422e0421d1fbdc57a95b9383542e495691e41195d0f19393db1

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=sha256:2d31184031afc5245ec60cb38a7de4208f496cf8ea6d0ed14d30735f3bbeeca3

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:c038342894ad093d444cf8c2159651824ec163c3ab3dbda5fc8850e3565fce1f

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=sha256:7169efaae27e9f5e72b87bd74c7bbbe727973c0df2106b67c6ad4587e376e70f

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=sha256:3d98a4203d57d3310cffda8e42319243b8a3cb26e874c5b3b7b05bbbcaa64902

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:57.661568Z digest=sha256:678329f55c721de308bc85b69fe46b53f55140fc212d64ddcd32b8e5eb7fce88

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
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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:ba43e3ef4b1204df6a638267749efccaa3c2a1f135b14d4a149e557d6426ea40

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=sha256:1c42c31aff264d4121135bb5fac32e0b3ae85c32c2e2a6272a1b847eb3c6b881

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:58.121760Z digest=sha256:7abd351d6f35eb567af3e217e06a2f3425a5bbaa04db7d5c55809868bb96fed0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:58.278782Z digest=sha256:b03f73aecdaa6316e3fa8b750c6cce45ad2f0983638e1b51fd725ab544e33f5e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:58.828000Z digest=sha256:926f2c82d1ae610fbb0aeaad375ae30b6a696dd29b5d9789f50e3db794dba67e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:59.247443Z digest=sha256:5225b7596292b5af5cf0e0683a34a8c9b1d3b00323af64bc5dd536d37192dc3b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:59.378280Z digest=sha256:ed35a36e740dc0607bc070c6811096a31b89fd4e3631772142f5d841409402b7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:59.732533Z digest=sha256:be0a942ecfe5b397b34b6102c90d988355bb385aedc38417e8ab23fee6c764ff

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:13:59.863294Z digest=sha256:22499738cc9eec8432edafc1fbd5f93ac28ef07756f78bc66ab2884749301599

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:14:00.029233Z digest=sha256:b6d9ddfc859ed9b6cd3ffa18d872e7c7c1d9f56abe41ecf282475e3bef9031db

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:14:00.120790Z digest=sha256:4dc0e671dc1077a08187d096e927954ba3aa6a4234e0bdd4ca1147d5c76da0cd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:14:00.228082Z digest=sha256:55f02115f37a94226027dddb3a87ee1ed6466be4f3b9d8f003824518cca5b5dd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:14:00.359985Z digest=sha256:1fb2ab6b59542427f9b47a76af718e8ba256613440cd9a047a851c2593e1bf0c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:14:00.458378Z digest=sha256:419418a5a8e708509449e5762332d7bf6415f4283c43ad01a429a109c877d39a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:14:00.562290Z digest=sha256:076379de62f91f86835e5ffb420f2d4f028929fd1f4b7586f519ec0460f4d4f3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:14:00.691598Z digest=sha256:d550d9bf3742352d3e3c76b55e72aa925e4ba5cd183748120db5e78f8a51adac

Pith citing papers

No inbound Pith citation observations are available.