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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

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:ad8b77a01f8b4b6633f266a45d0cb12daf17c4d666998ec6f96f0b8654687785

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:c5f82ad065d9bed142d7b12ce49026a83cc39baab5cafe261c23ce5f7447dbf7

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:cf6cfa1649a26b84adb27210ca4e0ef5acaf0b25ac188ad4bcd1414ca29c40fb

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:c017d9fd4b1ce17cf2869a2c44cf518abacff74f68f660211f66ecf43a9f17e5

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=sha256:71511cbbf5a1d6378db6142a62f7c3d975dfd65c43bbcd376b613c0049e387ff

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=sha256:1a0da7b9fe00d7e7c34d4dcee63f771bb0d3f17297a8ea843a63c4be1d248d45

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=sha256:8051d7def242777a63f15ab3b0205d40be2a3e326a0f920b50cccac4cd6b6801

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=sha256:81f214be4fed667221fa12a58f7b6c9e458030f50713917e379d7b07d2e34926

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:c99f40c31047f03e6f1d6198b0a7f6e6eb6a737e2a5b7ad359096524ce5da4dc

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=sha256:0f2d3c1f6d41679205d73f62731ce5ee002c1a4bf4fd2bbec6c437058b4345e6

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:c83d15b77163f4388f6df724419d4089ba845da70f87882c25c1073765f35325

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:d9f1bd07a470c8e8e5affeb802fbeb21a2421a9f6911e768476141bccdb4d8d6

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=sha256:604522a5f50e029e83e7356d0a045ffc1f8063b36eac593222dac9ce7f18e5a8

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=sha256:853523302b8ef97575a66117d86855ddb09d7983ce1575d8627271b36209fcaa

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=sha256:9b19ac6bb354f621b7aa156a05f92a4d1c2dc5bb245b8b58a0bf0c4d4dde3be5

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=sha256:88fa9b90f575b63a9e4a755915e4d30a8fa5ae99b13e3422c31a0fbdb4065868

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:a38f68091939828105a5161ba1545d3433abb6a6668e4e480ab233b6c054e5eb

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:ddbdaf6249f175f89ca7ae5c70893762cf2dd6e9e53682d97947891dc6dc191a

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:a993aa6429bf78b85c296a85c3d58e06cebff58f50dfae24a95ffd81ce887a74

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=sha256:722fe0fc1cbf8ba760ee7d8a234be8938e6b52fa180b5c6f9b496da51ce47345

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=sha256:200ddb28f6dea0a7a631d3cbc063c4c62328e3f332d249362ed788bfb64a11cb

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:c2f610d6f1e3cbb2be4c825eaa33c30dc9eec35c30a338ea660cc64e6d2dcd21

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=sha256:05460b2915e8c9f7dc68973a5c49e1ab1da50cc189685e67b46d7532ce2f61a5

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=sha256:568d049669eed99a0569ddd19971388fcbd5c29fd4de8d0c89fadd17ea13c12d

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:c34e93949fff679affcd0daf9566c95ef65c3cc3948b3050b03b222294d2f5fc

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=sha256:23117102dfa59ff6bfc8f10877074deec45a926f47df53b2a17eb85b8bbcc871

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=sha256:99f1d179ddf2e2e63655931bd1147c06a3218918992ab22b2208acb51c673ccb

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=sha256:6985b0c907035e6e98331b7f7a2a474c0637995fe4876dcb928c85908106ae32

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=sha256:2740b6636a0cc5f44d1cde4676faf4c937b5a6b6bad1782c40a84b87fe2cdaa3

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:d878f5c3717f63a6c7271fedebadfb8c3161a1d7fa57ae994beac09d6b251cdd

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:e17d41766e9eae062601e97a2a5b5946ecadb0cb6649fc324d7236c3880f2313

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

source=pdf_text observed=2026-08-07T00:13:50.955326Z digest=sha256:bdc81ea88b85e74a9cf8ae24147e78891692d27106477cea38992504d578efc1

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:e087274e8d7addb3e120a1c96203f6c4a6b41bb1098e7e31873b992434061ee6

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=sha256:5a29bba5f78b7617af43361d848a8ae2ffaa633146eea519d001b708e6273b4a

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=sha256:83b650869b9c6de4c1100bb724b179e282e719b918e78f4e666714dcaa95f82b

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:bac5ea309a46e2b4e28e24ddca7719c8ea35905e6bbf9f6a0adcab9ad8d25a66

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=sha256:92cdbd8ff9774f86ba133740f56a56ae41a9c0194ad4978f4293b443f665e7e5

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=sha256:553c951d8e45c56da3dc51fe8c62331250580b1b8e50cfe6e14d7100ed6e2774

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=sha256:0352d418ea7daef1575e79c43c8df3724f0d5f276f5c268a17d5f98bc5a43822

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=sha256:271d1bcadd830fdb88e67dcd1a4bad755babe26b164971b1707e44b5ae4c5924

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:f7d379c7488430596e9a781395773b230ca79fed5e7ac0c2a758478f200f0142

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:d5417fc5cb6a43649b733971def925127910bae555f05994c50ad84407a192ab

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=sha256:5f7ca1da5a272179f871c2215f86c2f480c9f67636fc2d759a3578f24d427b3c

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=sha256:602f70a7bc0ed63895544ab94f0ff1a7fc88c75c1974df9c8ff8fd017dd48232

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:bd9721e1d5a3fa316f738886cc44b3c7673a2d4cd433950262205e1b581f5571

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=sha256:74062d4129adf7d12f6f84dc8061a46ddb5e2e8c0c5ffc55051f551b4fb97405

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:ba1d266b052e4083c66beb3b299da6075579a23ef01e5eeb77721d1fed87e08a

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=sha256:1fa079e41f8ecc13dd256e7d106f32204571aeebaf56b4cecef79625aae515e2

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=sha256:8207d3ff3f976741a7d02c6036e9bb5abde1e091b7d43832547282f69a45ce88

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=sha256:595a583d597349415af61172a76f255c293ae426342209f428f2162b15ef6485

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=sha256:60981063daf9b7c224ad6c83ac9abb0cf39d655780dd7908610027aa6c41f60b

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=sha256:1e34edec70a2bd7c4dfac80532862053413fc1551e6c7b26a1fa7a7254eb00f1

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=sha256:6a4a6790333793abb02255d1da057e5cf198fec7e1ab7a7e044afdb464068490

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:a605f486738581f9a0a07d509a1eb0288aac42b466f88cea727634114b08aa60

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=sha256:7072f57b016d25af89d317cbed875a9970d653bc01c08377c4a142dc06af3b5b

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:f9b76cb41cfeea3be3c9e6a33f1b7fc95e74679cea8f75eb66ca0d70ea0f9b92

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=sha256:7dd0cec7047d00dcdcd307da4f347565b001f7a72751e5353785ec7874bf4e59

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=sha256:80f881cbb7bff442e22cd4f60996c4b7692a7ea6d84b5e1d8a6a948cb3f38894

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:b47189ed04f8454c01505e14742d7eebfcb2622b2018e62a8b5dd7e166a1e092

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:d3d7472a9cf3af1a838d349b5ee9607825e5ebb8397eb24b2f2944d8a81e8039

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=sha256:38dcdac1823db7af5eb08e1757a3870fed83176076319aa62dfc47e7dc590686

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=sha256:62f59ed4f217cab4b62f2c09d49471fa964ced81c93341e63beff76be1999249

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=sha256:58b699b375c7564ca0e8cc6831dffb0e1afca99ea578cfe56a8a1e1ab20400fc

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:ad5ba0fd0fa5075dcea97b574404772d29dca11a10332cad7c026d41bab8bee7

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:e49e6b1bbc53fe52ac5166837d54e3a6711edc922b85ae872f986c0380615562

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=sha256:6d577ac5f1c87c291b9d1b969e1dae8e5299337e440632637ac43c5e47094f67

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=sha256:0959b8a996e1a4f29751b5dc8e1ff55cbd0d389d7e54b01785a338d7a961902c

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=pdf_text observed=2026-08-07T00:13:56.042764Z digest=sha256:c1380b72d33fac61a88067898dfd217e646c52d633fd45a8b34f743411f69f1c

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=sha256:21199fb2a3725a3e530b97edcc29efdd4e4987d753fe052b40609166cfe27596

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=sha256:888df8be7144661fd3137c423df33a382e27f3fada4a3a84ce85ba46e37ccf75

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=sha256:78bc6313ab3c51917c384e99ad8bc0264df3768ea7c171f793cdf47ab4548488

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=sha256:9ff4a400073f355940cf29e095953e63d93bfc3d24bb01962ac3aa13be170b84

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:b025664e595682db84a7467fea447c218b4413fa9ccc3c88b62e28e64e881e8b

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=sha256:4ea8df695aebd65ccf940815110f196b0432a97fd32d59366b843cee5ae9ec76

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=sha256:084e6e7e1dec2fb63da0419336f9f3ec19d51ecb50207dffe84d28565b2fa21a

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=sha256:199cbe038ba1eecafc31f21cc2ff01834d0561c15a1ce91f8368dbff0ba345ff

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:ad699008b0b7f7eea38509a5ec9b81dc6b0faa4e24dff1354de2c3996657701b

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:ea014b3770d24c319aa3d95e3a58b7708537a2a11244585c410f4712ac96855f

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=sha256:35f1b7d20a0d4b5106c23a7adbaf94cde24c239aa2ad399bc7ffa5c8610dc029

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=sha256:418e38c2d9a4e03f36a2e434ce70333330ff54e6149cc06fc8f66bafdb9b5433

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:f15228600449c353ce82a89e5d364f68deb64c83ee6e3ff6bd2a9b1a45ea5957

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=sha256:74f57e190940bcf25e71cc4cb1275117c4cc6ec4f5537c60ca8342c8336c1a15

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:a7dbe41547f3b05085e46178c303939a7c581b1e9b3e720d4f397132ebd8b40c

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:ece80815a71a4937fcd16fbc3e2bee4afe04a4e264f2d74645b406e2d91ba520

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:ed03b8029256f1fc80bb34cf72e7b254ea8111819ece244edee1bc66797319d6

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=sha256:38abe3f94f7119d98e6ec0f49e8de31c53541716e62cb9bb088217c747260f93

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=sha256:0cfe81eef4b5ca7dd47bc96a42c028b28ef7dad7e62c4dee877a7002206f0f7f

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=sha256:23b8b36579795fea37f78ad2f094fd3c584dfa298ca10bbcf1c9e07f3f8c2ff6

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=sha256:9f0c383c562d4342c98a3bf6808ec366d4f7f271c892bfe9211f17f56e08e484

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:a706b748ba117c3304f8893e4eb1fc8f8b4e56681627e19c450937b0748c2d6c

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=sha256:00fe116ed7b37eb9ba864ab2c780f3a3acb97ddb6ea5c6792a9554e71512e85c

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=sha256:4a30ee208797b448f5b55858ea3799973bfbe41e5068dcad0146e25d0627aa5d

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=sha256:56dcd5af70f07dfec8eb918b6901e1efc875c3a3827bf285ac64818389c4b15c

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=sha256:6248db31e86d8c311c3f4846241e356f04043f5866d3c1695139023a0f41af82

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=sha256:9580aa48de9c90abb4920e423c7cf74bc577c647e6c7bf6c7e2c1fb297a1d4be

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:c708c1be892f8432ecc5f3ae710092997146c0bdcc5169592de76769e3399b24

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=sha256:0075d1ba9af52c71bec9d258e3ae7814de53e650b46d3db5a1badb9c4a815c77

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:ffa78ab42a518c5ec4c45379f7257c36f1d81d953beb1426a0c5cca241f83793

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=sha256:94a17b47b9722325db7982fa9d88dac1b147afa90eec5310364d1887b4a8295c

Pith citing papers

No inbound Pith citation observations are available.