Paper Citation Record · LEDGER

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.18325.

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

pith.paper-citation-record.v1
2607.18325 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:32:01.238506Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

42 of 42 outbound references displayed

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verified fuzzy0
unresolved42
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b6893eec-d51b-43bf-b46f-7fcbc1f60f44 · outbound

This paper cites COCO-OOC dataset,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies COCO-OOC dataset,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:57.095594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac340b4-7f99-4808-9136-137d289f7e05 · outbound

This paper cites Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:57.225501Z

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Observation 6d922bbd-8dd1-46e3-96d5-74894107f015 · outbound

This paper cites SceneGPT: A Language Model for 3D Scene Understanding.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies SceneGPT: A Language Model for 3D Scene Understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:57.366001Z

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Observation 5c1e100e-e45a-4288-b2e4-368d880119f5 · outbound

This paper cites Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:57.496489Z

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Observation dbf2ccfc-1b40-4215-88a1-882446dada79 · outbound

This paper cites Better safe than sorry? overreaction problem of vision language models in visual emergency recognition,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Better safe than sorry? overreaction problem of vision language models in visual emergency recognition,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:57.620425Z

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Observation e6ee04c8-4b98-46d5-82f4-0baf1739e478 · outbound

This paper cites Real-time robotics situation awareness for accident prevention in industry,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Real-time robotics situation awareness for accident prevention in industry,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:57.786279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca910fca-4b3b-4c01-a02d-20f1738d1971 · outbound

This paper cites Multilabel Prediction with Probability Sets: The Ham- ming Loss Case,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Multilabel Prediction with Probability Sets: The Ham- ming Loss Case,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:57.971035Z

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Observation c1ea5e56-3f58-49bd-9a23-8c11a8a3ddb1 · outbound

This paper cites Smart operators: How industry 4.0 is affecting the worker’s performance in manufacturing contexts,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Smart operators: How industry 4.0 is affecting the worker’s performance in manufacturing contexts,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:58.106190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25e1121d-cd2e-4585-ac52-cac57f1e5ec1 · outbound

This paper cites Roboflow,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Roboflow,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:58.258987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2984d58a-39f6-405f-bb26-def4b6f09413 · outbound

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

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Semantic anomaly detection with large language models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:58.338461Z

Source-reported events for the cited work

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Observation 6a23e866-1708-47e3-bf24-d06ef097d7b3 · outbound

This paper cites Situation awareness: State of the art,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Situation awareness: State of the art,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:58.432379Z

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Observation a0f7a42c-d082-49d9-825a-50bc6144cbef · outbound

This paper cites LLM-supported safety annotation in high-risk environments,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies LLM-supported safety annotation in high-risk environments,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:58.564130Z

Source-reported events for the cited work

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Observation 3ca8cd84-be41-42a4-bd57-491c76c9f24a · outbound

This paper cites Understanding human behaviour in industrial human– robot interaction by means of virtual reality,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Understanding human behaviour in industrial human– robot interaction by means of virtual reality,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:58.704223Z

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Observation 73cba009-354e-4485-bec1-1d117c33d497 · outbound

This paper cites interior computer vision dataset,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies interior computer vision dataset,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:58.794288Z

Source-reported events for the cited work

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Observation 889147f8-c98c-472a-aad5-62c4e0af8faf · outbound

This paper cites When hci meets hri: The intersection and distinction,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies When hci meets hri: The intersection and distinction,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:58.878818Z

Source-reported events for the cited work

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Observation 38da0ac2-03a9-45a6-8162-67ce5ca13f2d · outbound

This paper cites Safety hazard identification computer vision model,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Safety hazard identification computer vision model,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:58.987785Z

Source-reported events for the cited work

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Observation 9e13d24e-7215-4bc1-9280-bff8fbcf85b4 · outbound

This paper cites The role of data and information quality during disaster response decision- making,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies The role of data and information quality during disaster response decision- making,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:59.138977Z

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Observation a0a8b955-d473-4552-8ac6-7c4353ad055b · outbound

This paper cites Jentsch,Human-Robot Interactions in Future Military Operations.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Jentsch,Human-Robot Interactions in Future Military Operations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:59.315961Z

Source-reported events for the cited work

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Observation 4055a308-5d29-4a87-b942-70228a472b15 · outbound

This paper cites VRU-accident: A vision-language benchmark for video question answering and dense captioning for accident scene understanding,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies VRU-accident: A vision-language benchmark for video question answering and dense captioning for accident scene understanding,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:59.414038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa947265-4883-42e4-acc1-ba96ae73ef8a · outbound

This paper cites firefighter computer vision dataset,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies firefighter computer vision dataset,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:59.491637Z

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Observation 33ac6787-93b8-4ba7-ae0c-87c49da3e5b8 · outbound

This paper cites aerial computer vision model,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies aerial computer vision model,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:59.586643Z

Source-reported events for the cited work

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Observation c391aacc-4148-45e7-bdb3-8b7ae126e955 · outbound

This paper cites Large Language Models and Multimodal Retrieval for Visual Word Sense Disambigua- tion,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Large Language Models and Multimodal Retrieval for Visual Word Sense Disambigua- tion,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:59.651017Z

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Observation 0a631d1c-33a3-4f37-85dc-694a6dc2f506 · outbound

This paper cites Information overload, stress, and emergency managerial thinking,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Information overload, stress, and emergency managerial thinking,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:59.852802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32bedbd-be52-4dc5-9a2d-b347b6289671 · outbound

This paper cites Natural disaster damage computer vision model,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Natural disaster damage computer vision model,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:59.927009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e10dd8f1-53ce-4952-b62e-38886ca43ba0 · outbound

This paper cites Chemical spill computer vision model,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Chemical spill computer vision model,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:00.091117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a35e16b-05e5-4d5b-b61c-f6faa1a05ec8 · outbound

This paper cites Hazard assessment and job safety analysis,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Hazard assessment and job safety analysis,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:00.156050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7add89e8-07a3-4704-9c68-1bf67bab7df8 · outbound

This paper cites Virtual reality based space operations – a study of esa’s potential for vr based training and simulation,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Virtual reality based space operations – a study of esa’s potential for vr based training and simulation,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:00.268650Z

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Observation def14f5f-e23d-48be-8b78-14f541ec62a4 · outbound

This paper cites Vision language models are blind,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Vision language models are blind,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:00.348199Z

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Observation 9ece4a07-6a78-4a0c-b47b-414c9f03ba3a · outbound

This paper cites MSTS: A Multimodal Safety Test Suite for Vision-Language Models,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies MSTS: A Multimodal Safety Test Suite for Vision-Language Models,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:00.410304Z

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Observation 708c11c8-b788-4107-9ebe-590ca486e7a6 · outbound

This paper cites Classification ppe computer vision model,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Classification ppe computer vision model,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:00.474056Z

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Observation fa238a32-ad98-4f30-8a98-96d897466b4a · outbound

This paper cites Assessing GPT’s Potential for Word Sense Disambiguation: A Quantitative Evaluation on Prompt Engineering Techniques,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Assessing GPT’s Potential for Word Sense Disambiguation: A Quantitative Evaluation on Prompt Engineering Techniques,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:00.565078Z

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Observation 9223fe37-ff7c-4eb7-994d-09018a7f461a · outbound

This paper cites Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:00.655736Z

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Observation 3b38ca5e-b6a0-44e9-bb7a-c524409a23a1 · outbound

This paper cites ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:00.739156Z

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Observation 6ab15342-3bc4-436c-924e-854f909ee990 · outbound

This paper cites Caption This, Reason That: VLMs Caught in the Middle,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Caption This, Reason That: VLMs Caught in the Middle,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:00.800200Z

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Observation 6d7e1a18-6476-4534-b747-54afce2a6890 · outbound

This paper cites HazardVLM: A Video Language Model for Real-Time Hazard Description in Auto- mated Driving Systems,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies HazardVLM: A Video Language Model for Real-Time Hazard Description in Auto- mated Driving Systems,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:00.888530Z

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Observation 02b8ec11-31e0-41e4-ba16-5642d5ac5926 · outbound

This paper cites VLM: Task-agnostic Video- Language Model Pre-training for Video Understanding,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies VLM: Task-agnostic Video- Language Model Pre-training for Video Understanding,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:00.980905Z

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Observation d1c02d11-452b-4520-8510-d9110547e604 · outbound

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Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Leveraging large language models for word sense disambiguation,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:01.044071Z

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Observation 06776e35-8fa1-4a5b-9293-55ef762dc7fd · outbound

This paper cites Common Inpainted Objects In-N-Out of Context.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Common Inpainted Objects In-N-Out of Context

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:01.118967Z

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Observation 59ae7c5a-86f5-4c9b-8548-ea6ff536c168 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:01.175110Z

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Unavailable: canonical work link unavailable.

Observation a9f249cf-07a4-492b-9cc9-0aeb7af67d84 · outbound

This paper cites Do llms understand visual anomalies? Uncovering llm’s capabilities in zero-shot anomaly detection,.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Do llms understand visual anomalies? Uncovering llm’s capabilities in zero-shot anomaly detection,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T20:32:01.238506Z

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Observation d78abe85-c223-4426-ba28-466a2c92e770 · outbound

This paper cites Available: https://universe.roboflow.com/model-v2/ natural-disaster-damage-np4mh.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies Available: https://universe.roboflow.com/model-v2/ natural-disaster-damage-np4mh

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:59.998151Z

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Unavailable: canonical work link unavailable.

Observation f713604d-700e-4b95-ab51-68ce951479d6 · outbound

This paper cites A VLM-based Method for Visual Anomaly Detection in Robotic Scientific Laboratories.

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies A VLM-based Method for Visual Anomaly Detection in Robotic Scientific Laboratories

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T20:31:59.789299Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.