Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:51.471755Z
Paper Citation Record · LEDGER
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants
As of 21 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2507.21072.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:22:38.263172Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T13:36:07.653386Z
Reference resolution
57 of 57 outbound references displayed
- verified exact0
- verified fuzzy40
- unresolved17
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1e3d74d3-e400-4a6b-8275-5ffc3c138679 · outbound
This paper cites an unresolved cited work.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:27:52.353733Z
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.
Observation 76fee197-a034-4dd9-9a4e-98e08cb3777a · outbound
This paper cites an unresolved cited work.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:27:52.339715Z
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.
Observation b5bfdae8-4c65-4d11-8f8a-c2c268e6d879 · outbound
This paper cites an unresolved cited work.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:27:52.325075Z
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.
Observation 46b19cba-4eec-4e56-add9-d5e34fa2707d · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants SAM 2: Segment Anything in Images and Videos
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:51.223916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11ebacee-4bc6-443a-a9d1-ff5c9f994d20 · outbound
This paper cites an unresolved cited work.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:27:52.310527Z
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.
Observation 4cf18fa8-6e29-4d5a-a4a7-339d329bbfac · outbound
This paper cites an unresolved cited work.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:27:52.295906Z
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.
Observation 9216d915-e233-42c5-888a-015c9d3fb630 · outbound
This paper cites Iar-net: A human-object context guided action recognition network for industrial environment monitoring.IEEE Transactions on Instrumentation and Measurement, 2024.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Iar-net: A human-object context guided action recognition network for industrial environment monitoring.IEEE Transactions on Instrumentation and Measurement, 2024
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.280171Z
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.
Observation 5f3cdc4d-a492-4475-b1ea-9549da306b39 · outbound
This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.265204Z
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.
Observation e4e53403-3eec-45ba-9e50-719513634a64 · outbound
This paper cites Learning deep object detectors from 3d models.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Learning deep object detectors from 3d models
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.249159Z
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.
Observation 1e8d93cc-7437-4c08-9a03-757c2824a186 · outbound
This paper cites Playing for data: Ground truth from computer games.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Playing for data: Ground truth from computer games
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.231866Z
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.
Observation 58ee4b98-6114-4b52-bda0-599ad999b769 · outbound
This paper cites Playing for benchmarks.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Playing for benchmarks
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.216735Z
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.
Observation 3f6be01c-1ed1-4001-93ca-c81bf28ebdf0 · outbound
This paper cites Virtual worlds as proxy for multi-object tracking analysis.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Virtual worlds as proxy for multi-object tracking analysis
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.201609Z
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.
Observation ec537c06-0f75-4e4d-9c5e-1f1b4015f072 · outbound
This paper cites Unlimited road-scene synthetic annotation (ursa) dataset.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Unlimited road-scene synthetic annotation (ursa) dataset
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.186924Z
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.
Observation 75313099-ddc1-47e5-8310-679c1988778d · outbound
This paper cites Procsy: Procedural synthetic dataset generation towards influence factor stud- ies of semantic segmentation networks.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Procsy: Procedural synthetic dataset generation towards influence factor stud- ies of semantic segmentation networks
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.171919Z
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.
Observation 4cc23b4b-157f-42e6-a6d8-8d91a75ffc11 · outbound
This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Domain randomization for transferring deep neural networks from simulation to the real world
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:51.275198Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55a8411b-a973-481c-a02d-128192b72023 · outbound
This paper cites Training deep networks with synthetic data: Bridging the reality gap by domain randomization.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Training deep networks with synthetic data: Bridging the reality gap by domain randomization
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.146504Z
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.
Observation 86d4c554-56eb-40ac-ae4d-ab780d1406c6 · outbound
This paper cites Object Detection using Domain Randomization and Generative Adversarial Refinement of Synthetic Images.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Object Detection using Domain Randomization and Generative Adversarial Refinement of Synthetic Images
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:51.284800Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88476357-3536-4afa-ab7c-26f51986fec4 · outbound
This paper cites Synthetic data generation based on rdb-cyclegan for industrial object detection.Mathematics, 11(22):4588, 2023.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Synthetic data generation based on rdb-cyclegan for industrial object detection.Mathematics, 11(22):4588, 2023
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.131813Z
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.
Observation 1bc2d254-ab0f-4bae-b835-ca451befefec · outbound
This paper cites an unresolved cited work.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:27:52.116362Z
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.
Observation 26a892e2-9227-4240-9089-a46fd220651e · outbound
This paper cites Bigdatasetgan: Synthesizing imagenet with pixel-wise annotations.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Bigdatasetgan: Synthesizing imagenet with pixel-wise annotations
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.099696Z
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.
Observation 0f4699d7-78ed-4e12-9ace-15bb841b7507 · outbound
This paper cites Instagen: Enhancing object detection by training on synthetic dataset.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Instagen: Enhancing object detection by training on synthetic dataset
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.084084Z
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.
Observation b3bbf120-56ae-4c86-9b22-29c3b9b8f434 · outbound
This paper cites Cut, paste and learn: Surprisingly easy synthesis for instance detection.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Cut, paste and learn: Surprisingly easy synthesis for instance detection
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.068892Z
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.
Observation 9dbbab89-bc95-4e32-90f3-b87aed7c14a5 · outbound
This paper cites The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.053209Z
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.
Observation f2c3834a-8121-4a4f-91fb-ad4cb0062703 · outbound
This paper cites Rareplanes: Synthetic data takes flight.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Rareplanes: Synthetic data takes flight
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.037567Z
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.
Observation c3b771ab-4936-41b4-bdbd-b4eb74a0e7a8 · outbound
This paper cites Domain adaptive faster r-cnn for object detection in the wild.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Domain adaptive faster r-cnn for object detection in the wild
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:51.322851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c11891e0-944f-485a-be24-71d5a783d8ea · outbound
This paper cites @bench: Benchmarking vision-language models for human-centered assistive technology.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants @bench: Benchmarking vision-language models for human-centered assistive technology
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:52.012300Z
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.
Observation a829ae98-74d6-4102-93d5-38514eeec373 · outbound
This paper cites Open scene un- derstanding: Grounded situation recognition meets segment anything for helping people with visual impairments.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Open scene un- derstanding: Grounded situation recognition meets segment anything for helping people with visual impairments
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.996995Z
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.
Observation 36baec43-0114-43c1-a640-2d3d24065c75 · outbound
This paper cites Materobot: Material recognition in wearable robotics for people with visual impairments.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Materobot: Material recognition in wearable robotics for people with visual impairments
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.981622Z
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.
Observation ab394f69-ede0-4ab3-9df8-2a8aaf93321c · outbound
This paper cites ObjectFinder: An Open-Vocabulary Assistive System for Interactive Object Search by Blind People.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants ObjectFinder: An Open-Vocabulary Assistive System for Interactive Object Search by Blind People
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:51.341282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 897feb98-eba4-4410-97c2-4a7df8e966e3 · outbound
This paper cites Enhanced yolo-and wearable- based inspection system for automotive wire harness assembly.Ap- plied Sciences, 14(7):2942, 2024.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Enhanced yolo-and wearable- based inspection system for automotive wire harness assembly.Ap- plied Sciences, 14(7):2942, 2024
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.966086Z
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.
Observation 428c1188-89bf-4b20-a663-bcc818e919c3 · outbound
This paper cites Redundant object detection method for civil aircraft assembly based on machine vision and smart glasses.Measurement Science and Technology, 33(10):105011, 2022.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Redundant object detection method for civil aircraft assembly based on machine vision and smart glasses.Measurement Science and Technology, 33(10):105011, 2022
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.950620Z
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.
Observation 95907e53-2f00-4d18-9058-980cf3c019fd · outbound
This paper cites Validating the use of smart glasses in industrial quality control: a case study.Applied Sciences, 14(5):1850, 2024.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Validating the use of smart glasses in industrial quality control: a case study.Applied Sciences, 14(5):1850, 2024
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.935632Z
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.
Observation 752ac1a8-3440-4e15-bff1-d1d734add480 · outbound
This paper cites Augmented reality for enhanced visual inspection through knowledge-based deep learning.Structural Health Monitoring, 20(1):426–442, 2021.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Augmented reality for enhanced visual inspection through knowledge-based deep learning.Structural Health Monitoring, 20(1):426–442, 2021
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.920148Z
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.
Observation 1b6079d1-acf1-42fc-90bb-a15b5a0af01f · outbound
This paper cites An ar-assisted deep learning- based approach for automatic inspection of aviation connectors.IEEE Transactions on Industrial Informatics, 17(3):1721–1731, 2020.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants An ar-assisted deep learning- based approach for automatic inspection of aviation connectors.IEEE Transactions on Industrial Informatics, 17(3):1721–1731, 2020
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.904452Z
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.
Observation 768fc76b-5609-4659-add6-8818fa5b3f1d · outbound
This paper cites Augmented reality maintenance assistant using yolov5.Applied Sciences, 11(11):4758, 2021.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Augmented reality maintenance assistant using yolov5.Applied Sciences, 11(11):4758, 2021
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.888899Z
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.
Observation e193daa4-93b3-4215-aa57-358452b0a43b · outbound
This paper cites Deep learning-based smart task assistance in wearable augmented reality.Robotics and Computer-Integrated Manufacturing, 63:101887, 2020.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Deep learning-based smart task assistance in wearable augmented reality.Robotics and Computer-Integrated Manufacturing, 63:101887, 2020
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.872715Z
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.
Observation bea60c76-4046-4e15-9a63-30d1b8489b8a · outbound
This paper cites A compatible detector based on improved yolov5 for hydropower device detection in ar inspection system.Expert Systems with Applications, 225:120065, 2023.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants A compatible detector based on improved yolov5 for hydropower device detection in ar inspection system.Expert Systems with Applications, 225:120065, 2023
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.857326Z
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.
Observation 93324d3a-3274-4a02-99f0-09fca90bd717 · outbound
This paper cites Real-time object detection and tracking in mixed reality using microsoft hololens.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Real-time object detection and tracking in mixed reality using microsoft hololens
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.841735Z
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.
Observation 56f89993-4f4e-452c-a2ad-c1468818c120 · outbound
This paper cites A real-time wearable ar system for egocentric vision on the edge.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants A real-time wearable ar system for egocentric vision on the edge
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.824341Z
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.
Observation 2959fc0f-3c35-48ce-98d4-39abd764f845 · outbound
This paper cites Tracking multiple deformable objects in egocentric videos.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Tracking multiple deformable objects in egocentric videos
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.807698Z
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.
Observation e47ad907-881f-4d1c-82ca-5fd4dfcb5884 · outbound
This paper cites Joint hand motion and interaction hotspots prediction from egocentric videos.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Joint hand motion and interaction hotspots prediction from egocentric videos
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.792042Z
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.
Observation 6291519b-fbe6-4557-970b-5e8669a649b5 · outbound
This paper cites A wearable assistive system for the visually impaired using object detection, distance measurement and tactile presentation.Intell.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants A wearable assistive system for the visually impaired using object detection, distance measurement and tactile presentation.Intell
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.775577Z
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.
Observation 943450f1-a706-4649-883f-531037962d9a · outbound
This paper cites A google glass based real-time scene analysis for the visually impaired.IEEE Access, 9:166351–166369, 2021.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants A google glass based real-time scene analysis for the visually impaired.IEEE Access, 9:166351–166369, 2021
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.759073Z
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.
Observation 9709b8e3-2d23-47f7-9c22-f276db90be3d · outbound
This paper cites Underwater smart glasses: A visual-tactile fusion hazard detection system.Iscience, 27(4), 2024.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Underwater smart glasses: A visual-tactile fusion hazard detection system.Iscience, 27(4), 2024
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.743599Z
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.
Observation f0ed710e-b2b8-4742-9e6c-5b0da6f0ddd6 · outbound
This paper cites Egocentric video-language pretraining.Advances in Neural Information Processing Systems, 35:7575–7586, 2022.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Egocentric video-language pretraining.Advances in Neural Information Processing Systems, 35:7575–7586, 2022
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:51.415691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b052d9a-b312-4661-8ef4-39dc33bfe8b9 · outbound
This paper cites Self-adapting large visual-language models to edge devices across visual modalities.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Self-adapting large visual-language models to edge devices across visual modalities
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.718206Z
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.
Observation 2da05770-ffb4-4171-a636-809a6e8fb624 · outbound
This paper cites An Egocentric Vision-Language Model based Portable Real-time Smart Assistant.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants An Egocentric Vision-Language Model based Portable Real-time Smart Assistant
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:51.424586Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42fed762-b8b8-46a8-8ec9-d9c84fbcd856 · outbound
This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants YOLOv11: An Overview of the Key Architectural Enhancements
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:51.429662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00602ea8-38dc-4392-a6a4-3ffbc90334d7 · outbound
This paper cites Sentence-bert: Sentence embed- dings using siamese bert-networks.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Sentence-bert: Sentence embed- dings using siamese bert-networks
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:51.434311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b347b0c-2979-4842-9b68-1205de56b782 · outbound
This paper cites The faiss library.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants The faiss library
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:51.438479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52e7dce8-0007-4c0b-8489-f5e15cb5d6de · outbound
This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Depth anything: Unleashing the power of large-scale unlabeled data
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.682081Z
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.
Observation 7f3201c5-f750-41e3-813c-ea4113a6ef9e · outbound
This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:51.448766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1bce553-e710-4dc5-8dfe-6428dbf66f2b · outbound
This paper cites Robust speech recognition via large- scale weak supervision.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Robust speech recognition via large- scale weak supervision
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.664648Z
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.
Observation a93d0dba-2182-4ab4-be89-4cfcaec3ad46 · outbound
This paper cites pyttsx3.https://github.com/nateshmbhat/ pyttsx3, 2024.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants pyttsx3.https://github.com/nateshmbhat/ pyttsx3, 2024
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.649066Z
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.
Observation 68cd7fe9-8d7a-4260-9c62-a728342263c1 · outbound
This paper cites Slic- ing aided hyper inference and fine-tuning for small object detection.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Slic- ing aided hyper inference and fine-tuning for small object detection
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.633049Z
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.
Observation 55341d70-bdb2-44ff-ab49-49b02f15632c · outbound
This paper cites Development of nasa-tlx (task load index): Results of empirical and theoretical research.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Development of nasa-tlx (task load index): Results of empirical and theoretical research
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.617777Z
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.
Observation 40e9cdd7-156b-439b-be46-6d88c8e9b8f4 · outbound
This paper cites How high is high? a meta-analysis of nasa-tlx global workload scores.
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants How high is high? a meta-analysis of nasa-tlx global workload scores
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:27:51.601931Z
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.
Pith citing papers
Observation 47f4f090-80ac-4cef-8858-c8f806582207 · inbound
IMPACT: A Dataset for Multi-Granularity Human Procedural Action Understanding in Industrial Assembly cites this paper.
IMPACT: A Dataset for Multi-Granularity Human Procedural Action Understanding in Industrial Assembly Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:00:58.074734Z
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.
Observation 6fc6ea07-ce7c-4f83-bcd8-88096c17f6dd · inbound
IMPACT-CYCLE: A Contract-Based Multi-Agent System for Claim-Level Supervisory Correction of Long-Video Semantic Memory cites this paper.
IMPACT-CYCLE: A Contract-Based Multi-Agent System for Claim-Level Supervisory Correction of Long-Video Semantic Memory Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:36:07.662636Z
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.