Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:09:24.593662Z
Paper Citation Record · LEDGER
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction
As of 12 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2501.05936.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact0
- verified fuzzy14
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5d075735-ab8a-4065-9305-034111c61106 · outbound
This paper cites A 3d-cnns approach to classify users’ emotion through eeg-based topographical maps in hri,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction A 3d-cnns approach to classify users’ emotion through eeg-based topographical maps in hri,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:25.114072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 525fcbd2-368b-49b1-a9f3-30fd15feb1ac · outbound
This paper cites What we learn on the streets: Situated human-robot interactions from an industry perspective,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction What we learn on the streets: Situated human-robot interactions from an industry perspective,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:25.093084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e3dad706-b49c-4544-89ed-297dfa38400b · outbound
This paper cites Getting closer to real-world: Monitoring humans working with collaborative industrial robots,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Getting closer to real-world: Monitoring humans working with collaborative industrial robots,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:25.065745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a9e75a96-59bc-483c-9a66-6b7f30442a0f · outbound
This paper cites Iar-net: A human-object context guided action recognition network for industrial environment monitoring,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Iar-net: A human-object context guided action recognition network for industrial environment monitoring,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:25.037182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b6f0b9d3-ebc6-42cb-987d-e173320bbd28 · outbound
This paper cites Df sampler: A self-supervised method for adaptive keyframe sampling,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Df sampler: A self-supervised method for adaptive keyframe sampling,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:25.013769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 904f2ea0-7722-4700-8197-3a114979a462 · outbound
This paper cites Meccano: A multimodal egocentric dataset for humans behavior understanding in the industrial- like domain,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Meccano: A multimodal egocentric dataset for humans behavior understanding in the industrial- like domain,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:24.985778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 43c4bf17-5040-4962-bb5c-a6177ed2fb28 · outbound
This paper cites Hri30: An action recognition dataset for industrial human-robot interaction,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Hri30: An action recognition dataset for industrial human-robot interaction,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:24.955731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6a58ebd2-ce81-4740-9169-4aae5fee85cd · outbound
This paper cites The ha4m dataset: Multi-modal monitoring of an assembly task for human action recognition in manufacturing,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction The ha4m dataset: Multi-modal monitoring of an assembly task for human action recognition in manufacturing,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:24.930842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d3bf1691-fbe2-4167-b409-0068d60277cb · outbound
This paper cites Enigma-51: Towards a fine-grained understanding of human behavior in industrial scenarios,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Enigma-51: Towards a fine-grained understanding of human behavior in industrial scenarios,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:24.906288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 91410af7-7c9a-4e75-a914-517bd6c62757 · outbound
This paper cites Multimodal engagement prediction in multiperson human–robot interaction,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Multimodal engagement prediction in multiperson human–robot interaction,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:24.884698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2a0c7d5b-9444-4dd4-ada1-d51aae434160 · outbound
This paper cites A survey on dialogue management in human-robot interaction,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction A survey on dialogue management in human-robot interaction,
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:24.516281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 397d6a18-3c0c-4d83-ac71-cb5a3fcdcf53 · outbound
This paper cites Engagement in human-agent interaction: An overview,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Engagement in human-agent interaction: An overview,
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:24.525169Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b568e2e8-b074-406e-a146-a9fba4e59b04 · outbound
This paper cites From the definition to the automatic assessment of engagement in human–robot interaction: A systematic review,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction From the definition to the automatic assessment of engagement in human–robot interaction: A systematic review,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:24.825065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3e139c15-63cb-4bfa-adc0-0e659e95ce75 · outbound
This paper cites Enhancing human-machine interactions: a novel framework for ar-based digital twin systems in industrial environments,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Enhancing human-machine interactions: a novel framework for ar-based digital twin systems in industrial environments,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:24.804771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 55a153dd-359c-45b6-8f12-0e5fbe358fe0 · outbound
This paper cites Unlocking human-robot dynamics: Introducing sensec- obot, a novel multimodal dataset on industry 4.0,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Unlocking human-robot dynamics: Introducing sensec- obot, a novel multimodal dataset on industry 4.0,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:24.782224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9b066c98-61e4-485f-9848-dc8dc12f4196 · outbound
This paper cites The via annotation software for images, audio and video,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction The via annotation software for images, audio and video,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:24.757149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 407f0a51-e324-422c-87f0-fc60bfd256f8 · outbound
This paper cites Quo vadis, action recognition? a new model and the kinetics dataset,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Quo vadis, action recognition? a new model and the kinetics dataset,
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:24.565202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52026dd1-d33e-497e-bf8e-46f3fb44f197 · outbound
This paper cites The Kinetics Human Action Video Dataset.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction The Kinetics Human Action Video Dataset
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:24.570842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf2bd7a0-a6c2-488d-aac2-bc1610d260df · outbound
This paper cites Deep residual learning for image recognition,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Deep residual learning for image recognition,
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:24.576923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88092a0a-c2e4-4902-a45b-27a3052e59ad · outbound
This paper cites Imagenet: A large-scale hierarchical image database,.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction Imagenet: A large-scale hierarchical image database,
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:24.582952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7b82c53-e14c-4b42-9b38-8449d89ffa85 · outbound
This paper cites MediaPipe: A Framework for Building Perception Pipelines.
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction MediaPipe: A Framework for Building Perception Pipelines
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:24.593662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.