Paper Citation Record · LEDGER

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments

As of 21 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2607.05264.

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

pith.paper-citation-record.v1
2607.05264 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T07:27:54.456241Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:12:58.548393Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T21:12:58.593946Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy0
unresolved37
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation affe6582-bed9-4e9a-96c5-8911af3c31ce · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Quo vadis, action recognition? a new model and the kinetics dataset

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26aa29ea-bcec-4d31-a062-a31e05773830 · outbound

This paper cites ActivityNet: A large-scale video benchmark for human activity understanding.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments ActivityNet: A large-scale video benchmark for human activity understanding

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e01849a8-2c79-49fb-9170-be84307f5c85 · outbound

This paper cites A V A: A video dataset of spatio-temporally localized atomic visual actions.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments A V A: A video dataset of spatio-temporally localized atomic visual actions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d49fa25-0aad-4918-ac1b-49fd6eabdbee · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Ego4d: Around the world in 3,000 hours of egocentric video

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e97b1a78-ace9-403e-93b4-a9795f7cca53 · outbound

This paper cites Assembly101: A large-scale multi-view video dataset for understanding procedural activities.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Assembly101: A large-scale multi-view video dataset for understanding procedural activities

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48b6ba9c-06af-4cfe-a363-294bc5f2691d · outbound

This paper cites IndustryEQA: Pushing the frontiers of embodied question answering in industrial scenarios.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments IndustryEQA: Pushing the frontiers of embodied question answering in industrial scenarios

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51cd453b-c88f-4cd2-9752-e68a0d0b8a1e · outbound

This paper cites SH17: A dataset for human safety and personal protective equipment detection in manufacturing industry.Journal of Safety Science and Resilience, 2024.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments SH17: A dataset for human safety and personal protective equipment detection in manufacturing industry.Journal of Safety Science and Resilience, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d21ccefa-026a-418b-aa7f-f0f812704329 · outbound

This paper cites an unresolved cited work.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33fc2c4e-5f6e-46ef-924e-87abd09e5777 · outbound

This paper cites Vision language model for interpretable and fine-grained detection of safety compliance in diverse workplaces.Expert Systems with Applications, 265:125769, 11 2024.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Vision language model for interpretable and fine-grained detection of safety compliance in diverse workplaces.Expert Systems with Applications, 265:125769, 11 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3720651b-fcbe-49c7-a3e3-ff27d9e80403 · outbound

This paper cites Human-LLM collabora- tive annotation through effective verification of LLM labels.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Human-LLM collabora- tive annotation through effective verification of LLM labels

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aef6b8b3-248d-417f-be0e-8775c7ca6827 · outbound

This paper cites The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 777f2235-0cca-4525-a1b9-1068de59d745 · outbound

This paper cites The Kinetics Human Action Video Dataset.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments The Kinetics Human Action Video Dataset

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5ed64c2-a275-45ac-b810-662938f02eda · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ab53443-34e6-46f3-a75d-8d74635e3ec7 · outbound

This paper cites Preference leakage: A contamination problem in LLM-as-a-judge.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Preference leakage: A contamination problem in LLM-as-a-judge

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e18583c-4e8e-4d18-b139-7335806bf2dc · outbound

This paper cites Just put a human in the loop? investigating LLM-assisted annotation for subjective tasks.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Just put a human in the loop? investigating LLM-assisted annotation for subjective tasks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b600ac63-3076-423b-9482-55469e7771cf · outbound

This paper cites Datasheets for datasets.Communications of the ACM, 64(12): 86–92, 2021.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Datasheets for datasets.Communications of the ACM, 64(12): 86–92, 2021

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9162af95-4ca5-4a25-9dcb-31d0cafdc4fc · outbound

This paper cites The MECCANO dataset: Understanding human-object interactions from egocentric videos in an industrial-like domain.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments The MECCANO dataset: Understanding human-object interactions from egocentric videos in an industrial-like domain

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ccc4406-9093-4930-9e0c-b33bc17eca06 · outbound

This paper cites Toyota smarthome: Real-world activities of daily living.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Toyota smarthome: Real-world activities of daily living

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45470b38-38b9-40bd-9add-a26c2b52037d · outbound

This paper cites Real-world anomaly detection in surveillance videos.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Real-world anomaly detection in surveillance videos

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47b293fc-de40-41ab-bea8-8f7afbba935d · outbound

This paper cites Future frame prediction for anomaly detection — a new baseline.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Future frame prediction for anomaly detection — a new baseline

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 011dddc8-c7ff-403a-a95f-b41b8d4069f7 · outbound

This paper cites iSafetyBench: A video-language benchmark for safety in industrial environments.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments iSafetyBench: A video-language benchmark for safety in industrial environments

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77478e94-13fe-451f-bacb-4e7fab6fb6bf · outbound

This paper cites Inspecsafe-v1: A multimodal benchmark for safety assessment in industrial inspection scenarios, 2026.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Inspecsafe-v1: A multimodal benchmark for safety assessment in industrial inspection scenarios, 2026

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 085bbdf1-7e8a-432d-86ba-30090f314c92 · outbound

This paper cites MMMU: A massive multi-discipline multimodal understanding and reasoning benchmark for expert AGI.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments MMMU: A massive multi-discipline multimodal understanding and reasoning benchmark for expert AGI

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e27fc0e-c29f-4400-8f91-55aec9ee79a7 · outbound

This paper cites Video-MME: The first-ever comprehensive evaluation benchmark of multi-modal LLMs in video analysis.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Video-MME: The first-ever comprehensive evaluation benchmark of multi-modal LLMs in video analysis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bbb2675-171c-4e31-84a7-5725b842a9b1 · outbound

This paper cites MVBench: A comprehensive multi-modal video understanding benchmark.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments MVBench: A comprehensive multi-modal video understanding benchmark

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00857507-d218-4272-b2b5-e86828b87701 · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Benchmarking neural network robustness to common corruptions and perturbations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Observation fd84bd44-419c-451e-b426-4a3820049cd3 · outbound

This paper cites NaturalBench: Evaluating vision-language models on natural adversarial samples.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments NaturalBench: Evaluating vision-language models on natural adversarial samples

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Observation c6a79ca0-3180-44e4-be5c-9d24d0d2039b · outbound

This paper cites Fields/clip.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Fields/clip

Reference 28

Resolution: malformed identifier; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Observation b99f544e-501b-4c11-9296-017609a54e8a · outbound

This paper cites an unresolved cited work.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Observation 4a809ac2-392a-4ce8-8d12-291f22ffe80a · outbound

This paper cites an unresolved cited work.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Observation d4e9e799-5ef2-4f86-a0be-ee021aed640a · outbound

This paper cites an unresolved cited work.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Observation 5b677058-eb61-47da-bd83-75cdb0e5f105 · outbound

This paper cites an unresolved cited work.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

Source-reported events for the cited work

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Observation 7a51d79d-a3b3-44e3-800b-075b02ef19c3 · outbound

This paper cites an unresolved cited work.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Observation ba2bd0e5-48ca-487a-a7ee-ad8cdaecdd87 · outbound

This paper cites an unresolved cited work.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Observation 3aa229b9-1c65-49e3-854b-ba7a314c38dd · outbound

This paper cites an unresolved cited work.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Observation c1649052-d06f-42dc-95d3-4f37409459f9 · outbound

This paper cites an unresolved cited work.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Observation 943f7433-9871-4327-9672-6a8c8407fb1e · outbound

This paper cites an unresolved cited work.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Observation dc568af3-21d1-4af2-b398-28216992e238 · outbound

This paper cites worn” only if clearly visible; use “cannot_determine.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments worn” only if clearly visible; use “cannot_determine

Reference 38

Resolution: malformed identifier; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Observation 1a50b927-af9c-46a5-8e92-187da86c75e3 · outbound

This paper cites Experts and the Safety Officer are nominated by the plant to support the research.

SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments Experts and the Safety Officer are nominated by the plant to support the research

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T07:27:54.456241Z

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Pith citing papers

Observation 643e46c7-13e4-4d2a-bea2-a1d0c20f02f0 · inbound

SafeSceneReason: A Multimodal Reasoning Benchmark Connecting Industrial Hazards with Accident Knowledge cites this paper.

SafeSceneReason: A Multimodal Reasoning Benchmark Connecting Industrial Hazards with Accident Knowledge SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-11T21:12:58.602649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.