Paper Citation Record · LEDGER

Embodied Scene Understanding for Vision Language Models via MetaVQA

As of 14 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 3 inbound Pith citation observations for arXiv:2501.09167.

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

pith.paper-citation-record.v1
2501.09167 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:15:04.751881Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:26:16.561169Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:29:35.618998Z

Reference resolution

50 of 50 outbound references displayed

verified exact3
verified fuzzy24
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d489a10d-73b8-4a93-985f-b51d0b174dad · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Embodied Scene Understanding for Vision Language Models via MetaVQA RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.519489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b788943c-3b2f-4173-8da4-e5441099f3d2 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Embodied Scene Understanding for Vision Language Models via MetaVQA OpenVLA: An Open-Source Vision-Language-Action Model

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.524899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a281461-9294-4aed-b7fb-8b7420e487e5 · outbound

This paper cites DriveLM: Driving with Graph Visual Question Answering.

Embodied Scene Understanding for Vision Language Models via MetaVQA DriveLM: Driving with Graph Visual Question Answering

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.535121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 763ff7de-1dcb-4148-9394-60d3cd0bf5ec · outbound

This paper cites Embodied Understanding of Driving Scenarios.

Embodied Scene Understanding for Vision Language Models via MetaVQA Embodied Understanding of Driving Scenarios

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.539684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 683832e1-6c8d-4ce9-873b-90946482e665 · outbound

This paper cites DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model.

Embodied Scene Understanding for Vision Language Models via MetaVQA DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.544857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2c9c9a-b212-4ac2-8dbe-0795c4a7dacc · outbound

This paper cites Talk2car: Taking control of your self-driving car.

Embodied Scene Understanding for Vision Language Models via MetaVQA Talk2car: Taking control of your self-driving car

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.504923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5fda9b66-d9ce-4dd8-9264-030c3100f772 · outbound

This paper cites AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving.

Embodied Scene Understanding for Vision Language Models via MetaVQA AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.490944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4736ec31-de29-47e3-8185-a092854dd199 · outbound

This paper cites SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models.

Embodied Scene Understanding for Vision Language Models via MetaVQA SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.558811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1edfb3b8-3238-453f-8215-b3785e49666f · outbound

This paper cites Vista: A generalizable driving world model with high fidelity and versatile controllability.

Embodied Scene Understanding for Vision Language Models via MetaVQA Vista: A generalizable driving world model with high fidelity and versatile controllability

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.477747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6e31db1e-8972-43d7-a458-52a0e7eb6ddb · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

Embodied Scene Understanding for Vision Language Models via MetaVQA Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.567591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26085164-2ccf-4ae1-a5a9-3efee1e0253b · outbound

This paper cites Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning.

Embodied Scene Understanding for Vision Language Models via MetaVQA Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.464637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6d058d51-207b-4679-9cb5-a9f09920c44e · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yuxin Pan, Giancarlo Baldan, and Oscar Beijbom.

Embodied Scene Understanding for Vision Language Models via MetaVQA Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yuxin Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.448535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 021d19f9-1e90-4d7d-9db5-4df843e0dfbd · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Embodied Scene Understanding for Vision Language Models via MetaVQA Scalability in perception for autonomous driving: Waymo open dataset

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.434513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f72c1596-de40-4631-98bd-cb21d6fdbe7f · outbound

This paper cites Improved baselines with visual instruction tuning, 2023.

Embodied Scene Understanding for Vision Language Models via MetaVQA Improved baselines with visual instruction tuning, 2023

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.419688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 138298ac-2959-49fd-afe0-2437fa49bdf8 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Embodied Scene Understanding for Vision Language Models via MetaVQA LLaVA-OneVision: Easy Visual Task Transfer

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.592076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd44d3d9-f800-447c-8ea6-e663f4001fa5 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Embodied Scene Understanding for Vision Language Models via MetaVQA Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.597921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcf7c656-65e2-4236-9d0b-1c2fd2a6d147 · outbound

This paper cites Chatgpt-4, 2024.

Embodied Scene Understanding for Vision Language Models via MetaVQA Chatgpt-4, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.407074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7fe76bf7-530c-4f2e-8baa-bba6ea27d6d0 · outbound

This paper cites an unresolved cited work.

Embodied Scene Understanding for Vision Language Models via MetaVQA Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:15:05.395176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9d2a61b7-ea0c-4371-b571-ec73ea003504 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

Embodied Scene Understanding for Vision Language Models via MetaVQA InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.614077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac97deee-3b08-47a9-b67b-f53665dc10bd · outbound

This paper cites Language Prompt for Autonomous Driving.

Embodied Scene Understanding for Vision Language Models via MetaVQA Language Prompt for Autonomous Driving

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.619541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d18145c-b355-49cc-ace6-13ae1eec12e2 · outbound

This paper cites Explainable object-induced action decision for autonomous vehicles.

Embodied Scene Understanding for Vision Language Models via MetaVQA Explainable object-induced action decision for autonomous vehicles

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.383207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 93d19153-179e-4538-88eb-771d698fef6e · outbound

This paper cites Referring Multi- Object tracking.

Embodied Scene Understanding for Vision Language Models via MetaVQA Referring Multi- Object tracking

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.370273Z

Source-reported events for the cited work

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Observation 19608b59-cdb7-461b-b43c-e7825487810f · outbound

This paper cites Open-sourced data ecosystem in autonomous driving: the present and future, 2024.

Embodied Scene Understanding for Vision Language Models via MetaVQA Open-sourced data ecosystem in autonomous driving: the present and future, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.357920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bd3cf905-5523-4ca2-9f2d-37145d77f7ca · outbound

This paper cites Grounding human-to-vehicle advice for self-driving vehicles.

Embodied Scene Understanding for Vision Language Models via MetaVQA Grounding human-to-vehicle advice for self-driving vehicles

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.344963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1b94b15b-5209-44b3-a84d-15a37a524053 · outbound

This paper cites Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving.

Embodied Scene Understanding for Vision Language Models via MetaVQA Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:15:04.970413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 966fcf28-0e93-4953-8b19-03d660adcb53 · outbound

This paper cites Drama: Joint risk localization and captioning in driving.

Embodied Scene Understanding for Vision Language Models via MetaVQA Drama: Joint risk localization and captioning in driving

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.331836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 489f0890-5bbf-408e-b307-bfb1aa00e251 · outbound

This paper cites Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving.

Embodied Scene Understanding for Vision Language Models via MetaVQA Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:15:04.946475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8d47fadd-530c-4454-b21e-1ced9eeb0264 · outbound

This paper cites HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving.

Embodied Scene Understanding for Vision Language Models via MetaVQA HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.656528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9174a74-db69-41de-8a78-33c1b981730b · outbound

This paper cites Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving.

Embodied Scene Understanding for Vision Language Models via MetaVQA Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.660381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1017120-30ea-4961-827e-10d4c064449a · outbound

This paper cites ADAPT: Action-aware Driving Caption Transformer.

Embodied Scene Understanding for Vision Language Models via MetaVQA ADAPT: Action-aware Driving Caption Transformer

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:15:04.890239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8909ee23-24e9-446b-89a6-e5faad423f4e · outbound

This paper cites Textual explanations for self-driving ve- hicles.

Embodied Scene Understanding for Vision Language Models via MetaVQA Textual explanations for self-driving ve- hicles

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.317037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ff67f547-3bcc-48de-a6a8-5048ecd3c7f0 · outbound

This paper cites Rank2tell: A multimodal driving dataset for joint importance ranking and reasoning.

Embodied Scene Understanding for Vision Language Models via MetaVQA Rank2tell: A multimodal driving dataset for joint importance ranking and reasoning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.303179Z

Source-reported events for the cited work

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Observation e354465f-33dd-4bde-a30b-76a686faf8fb · outbound

This paper cites NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario.

Embodied Scene Understanding for Vision Language Models via MetaVQA NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.675610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1db2c9ce-32d0-485e-af35-c2dd0cddc1da · outbound

This paper cites Semantic anomaly detection with large language models, 2023.

Embodied Scene Understanding for Vision Language Models via MetaVQA Semantic anomaly detection with large language models, 2023

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.289383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 635f0923-e8ae-4538-9bc4-c39c089fba48 · outbound

This paper cites MotionLM: Multi-agent motion forecasting as language modeling.

Embodied Scene Understanding for Vision Language Models via MetaVQA MotionLM: Multi-agent motion forecasting as language modeling

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.275572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 37d36429-7164-4288-8309-c21289629a19 · outbound

This paper cites LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.

Embodied Scene Understanding for Vision Language Models via MetaVQA LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.690975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e307456-a02e-49cd-9a5b-8515d3de43d2 · outbound

This paper cites an unresolved cited work.

Embodied Scene Understanding for Vision Language Models via MetaVQA Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:15:05.262051Z

Source-reported events for the cited work

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Observation 2c1a1695-60dd-40f5-973b-c0328fb79fdc · outbound

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

Embodied Scene Understanding for Vision Language Models via MetaVQA GPT-Driver: Learning to Drive with GPT

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d1a7015-cb02-4ae2-aa13-f107fb64958a · outbound

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

Embodied Scene Understanding for Vision Language Models via MetaVQA DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.707819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5387fbd0-a305-4c15-b479-6a412f37ae51 · outbound

This paper cites LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving.

Embodied Scene Understanding for Vision Language Models via MetaVQA LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.714227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a49e77c-5dcc-4ba1-9da6-9a447cb72358 · outbound

This paper cites Carla: An open urban driv- ing simulator.

Embodied Scene Understanding for Vision Language Models via MetaVQA Carla: An open urban driv- ing simulator

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.247857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5cec8735-1f1b-43f2-a7cd-a50ae4af1593 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

Embodied Scene Understanding for Vision Language Models via MetaVQA NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.723676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c86f3af8-ffdf-482b-b628-713c8539add2 · outbound

This paper cites Clevr: A diagnostic dataset for compositional language and elemen- tary visual reasoning.

Embodied Scene Understanding for Vision Language Models via MetaVQA Clevr: A diagnostic dataset for compositional language and elemen- tary visual reasoning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.234400Z

Source-reported events for the cited work

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Observation 57cffc86-d4bf-40db-b75f-ae742dd16eb1 · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open mo- tion dataset.

Embodied Scene Understanding for Vision Language Models via MetaVQA Large scale interactive motion forecasting for autonomous driving: The waymo open mo- tion dataset

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.220777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2f5fb141-65cc-4a59-95b8-6f71eeaf43f6 · outbound

This paper cites Scenarionet: Open-source platform for large-scale traffic scenario simu- lation and modeling.

Embodied Scene Understanding for Vision Language Models via MetaVQA Scenarionet: Open-source platform for large-scale traffic scenario simu- lation and modeling

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.204629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 60e58ac0-5a51-4bdf-bc9e-da1ba6a929e6 · outbound

This paper cites Yolov3: An incremental improvement.

Embodied Scene Understanding for Vision Language Models via MetaVQA Yolov3: An incremental improvement

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.187965Z

Source-reported events for the cited work

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Observation 43049e48-d581-4154-9301-ef5891f58417 · outbound

This paper cites Segment Anything.

Embodied Scene Understanding for Vision Language Models via MetaVQA Segment Anything

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.741154Z

Source-reported events for the cited work

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Observation 657b7f8f-4b35-40d7-896d-fea2b99a1967 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Embodied Scene Understanding for Vision Language Models via MetaVQA Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.744522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69d2d939-85c8-4bce-a445-0805d9aa3540 · outbound

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

Embodied Scene Understanding for Vision Language Models via MetaVQA Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.174468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 37d1f5ed-5aa4-4095-a337-55223922ccb3 · outbound

This paper cites 3” level of visibility or is scanned by less than five rays of Lidar, then it is considered.

Embodied Scene Understanding for Vision Language Models via MetaVQA 3” level of visibility or is scanned by less than five rays of Lidar, then it is considered

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:15:05.160156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 6540e05e-b877-4a08-8c87-cb52f2737317 · inbound

Dreamland: Controllable World Creation with Simulator and Generative Models cites this paper.

Dreamland: Controllable World Creation with Simulator and Generative Models Embodied Scene Understanding for Vision Language Models via MetaVQA

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:16.561169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d27a2dc-8b8b-44a5-a981-d70e7e2e29f2 · inbound

Vesta: A Generalist Embodied Reasoning Model cites this paper.

Vesta: A Generalist Embodied Reasoning Model Embodied Scene Understanding for Vision Language Models via MetaVQA

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:29:35.620749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fd61dd70-9e2c-45f7-ae68-c961c5ad0e27 · inbound

Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers cites this paper.

Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers Embodied Scene Understanding for Vision Language Models via MetaVQA

Reference 143

Resolution: unresolved; no resolver link, observed 2026-08-01T07:02:52.563375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.