Paper Citation Record · LEDGER

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video?

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.05747.

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

pith.paper-citation-record.v1
2608.05747 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:15:18.724350Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

31 of 31 outbound references displayed

verified exact0
verified fuzzy11
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42253e57-622b-40b3-afd3-45ffb4fe9c95 · outbound

This paper cites LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.613690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6bfcd7c-3d19-448f-ab10-1de98cd9705b · outbound

This paper cites Qwen3-VL Technical Report.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Qwen3-VL Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.618117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 522bc332-6aa4-43f1-82c2-8e649d86a955 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.622060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48afbab3-510e-4247-8b5a-8ff59c37fd2b · outbound

This paper cites Mm-spatial: Exploring 3d spatial understanding in multimodal llms.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Mm-spatial: Exploring 3d spatial understanding in multimodal llms

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:15:19.243096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0c2694aa-3f0f-4a19-8dfa-12c24caad030 · outbound

This paper cites Robix: A Unified Model for Robot Interaction, Reasoning and Planning.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Robix: A Unified Model for Robot Interaction, Reasoning and Planning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.629999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 536c9ea0-0a17-4a01-aa26-dab0ba904fee · outbound

This paper cites Blink: Multimodal large language models can see but not perceive.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Blink: Multimodal large language models can see but not perceive

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.633875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2229948-db60-42f8-8924-5f2e21d61fa4 · outbound

This paper cites Gemini 3: Introducing the latest gemini ai model from google.https://blog.google/products/gemini/ gemini-3/, 2025.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Gemini 3: Introducing the latest gemini ai model from google.https://blog.google/products/gemini/ gemini-3/, 2025

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:15:19.226778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e5cd3282-a386-4ca1-aef1-8d3c71cad95f · outbound

This paper cites GPT-4o System Card.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? GPT-4o System Card

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.641174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f25101-e1f7-444f-95cb-9e77f38f45b0 · outbound

This paper cites Artvip: Articulated digital assets of visual realism, modular interaction, and physical fidelity for robot learning.arXiv preprint arXiv:2506.04941, 2025.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Artvip: Articulated digital assets of visual realism, modular interaction, and physical fidelity for robot learning.arXiv preprint arXiv:2506.04941, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.645149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 504a08fd-00e3-45b5-a17d-736f68c4a734 · outbound

This paper cites What’s “up” with vision-language models? investigating their struggle with spatial reasoning.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? What’s “up” with vision-language models? investigating their struggle with spatial reasoning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.648647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f31ade-1f30-4e7e-97ff-e04324714436 · outbound

This paper cites Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.652690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64c74b1-9ef2-4f84-835a-8aea39b4162d · outbound

This paper cites Viewspatial-bench: Evaluating multi-perspective spatial localization in vision-language models.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Viewspatial-bench: Evaluating multi-perspective spatial localization in vision-language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.655986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6dab8f6-c1fb-4272-8c69-d8548ed13058 · outbound

This paper cites Sti-bench: Are mllms ready for precise spatial-temporal world understanding? InProceedings of the IEEE/CVF International Conference on Computer Vision, pages 5622–5632, 2025.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Sti-bench: Are mllms ready for precise spatial-temporal world understanding? InProceedings of the IEEE/CVF International Conference on Computer Vision, pages 5622–5632, 2025

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:15:19.205132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f644afb7-65c6-4da1-9893-c1236dcb0131 · outbound

This paper cites Mmsi-video-bench: A holistic benchmark for video-based spatial intelligence.arXiv preprint arXiv:2512.10863, 2025.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Mmsi-video-bench: A holistic benchmark for video-based spatial intelligence.arXiv preprint arXiv:2512.10863, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.662749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73350104-8c20-4faa-98d6-3f227d77e263 · outbound

This paper cites Ost-bench: Evaluating the capabilities of mllms in online spatio-temporal scene understanding.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Ost-bench: Evaluating the capabilities of mllms in online spatio-temporal scene understanding

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:15:19.195156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31c8c0ee-1531-4362-a436-6028f7be6b1f · outbound

This paper cites Visual spatial reasoning.Transactions of the Association for Computational Linguistics, 11:635–651, 2023.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Visual spatial reasoning.Transactions of the Association for Computational Linguistics, 11:635–651, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.670298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a554ac96-8048-45ec-8bfe-1dad6dd8746b · outbound

This paper cites Nvila: Efficient frontier visual language models.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Nvila: Efficient frontier visual language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.674326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1be615e0-80f8-437c-9bdc-83ed3070ae71 · outbound

This paper cites 3dsrbench: A comprehensive 3d spatial reasoning benchmark.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? 3dsrbench: A comprehensive 3d spatial reasoning benchmark

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.678285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c2f3515-ed64-4a4b-afcb-da22c99c892c · outbound

This paper cites Openeqa: Embodied question answering in the era of foundation models.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Openeqa: Embodied question answering in the era of foundation models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:15:19.167241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c4455015-2bf4-497e-b61a-b2d99d260117 · outbound

This paper cites Cosmos-reason2.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Cosmos-reason2

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:15:19.156499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab821289-cf90-444a-a8b5-b00d22bd9ba8 · outbound

This paper cites Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:15:19.146707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e0904a3a-a40d-4f8b-b990-0cac299f58c8 · outbound

This paper cites Seed1.8 Model Card: Towards Generalized Real-World Agency.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Seed1.8 Model Card: Towards Generalized Real-World Agency

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.693233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29f45c7e-65c3-45db-8d64-7bef050f313b · outbound

This paper cites OpenAI GPT-5 System Card.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? OpenAI GPT-5 System Card

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.696882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f689b408-4562-4dee-b6ea-a9cf268ce6e9 · outbound

This paper cites Robobrain 2.5: Depth in sight, time in mind.arXiv preprint arXiv:2601.14352, 2026.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Robobrain 2.5: Depth in sight, time in mind.arXiv preprint arXiv:2601.14352, 2026

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.700804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9576de4-a15a-465d-85f3-fd9f156fc3e9 · outbound

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

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Cambrian-1: A fully open, vision-centric exploration of multimodal llms

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:15:19.136900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d628961d-d841-4acf-b113-9d52bf31cbbe · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.707962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a13155f-73e4-4fd4-b883-9ab534fe02ae · outbound

This paper cites Spatial457: A diagnostic benchmark for 6d spatial reasoning of large mutimodal models.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Spatial457: A diagnostic benchmark for 6d spatial reasoning of large mutimodal models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:15:19.126632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aec5670f-4081-4fa7-a379-d4d33b1979ff · outbound

This paper cites Thinking in space: How multimodal large language models see, remember, and recall spaces.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Thinking in space: How multimodal large language models see, remember, and recall spaces

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.714534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54fc181a-dde9-4407-9ec2-c63dd0542529 · outbound

This paper cites Cambrian-s: Towards spatial supersensing in video.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Cambrian-s: Towards spatial supersensing in video

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:15:19.110735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65ce0823-fb8c-4075-af19-503139ff9bc6 · outbound

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

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T00:15:18.720958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e5482ab-af6b-4d27-be5f-a376c33dfec6 · outbound

This paper cites From flatland to space: Teach- ing vision-language models to perceive and reason in 3d.

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? From flatland to space: Teach- ing vision-language models to perceive and reason in 3d

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:15:19.100566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.