Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:40:52.576787Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2504.14927.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:40:52.576787Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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
31 of 31 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7b2b0f1f-c596-49b4-8fbc-fcf5df76b591 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Abstractive video lecture summarization: applications and future prospects
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4336c2e0-7ebf-415f-b810-5b638aad8524 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Video-based learning (VBL)—past, present and future
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 445da0aa-5d46-4215-93a1-eb7d5ca4844a · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Video Summarization Techniques: A Comprehensive Review
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d43f8b13-37a0-422a-ae17-25822027c466 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives A review of deep learning models for time series prediction
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 47269bdc-d590-4b88-a18a-6cf86d6d48cb · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Bayesian fuzzy clustering and deep CNN-based automatic video summarization
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3687a79e-311c-432d-a1d5-0c23a9214a2b · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Large Model based Sequential Keyframe Extraction for Video Summarization
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation da0158f3-96bd-4f1e-b9d1-80e0fa198503 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Deep multi-scale pyrami- dal features network for supervised video summarization
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 68c45653-c51f-4ab5-a1f2-026f53887666 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Distance education: Definitions, generations and key concepts and future directions
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ce03e700-3f8a-4176-94e1-5a7fa4c43a37 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Promoting student engagement in online education: Online learning experiences of Dutch university students.Technology, Knowledge and Learning, 29(2):941–961, 2024
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation aecfb1d2-5f61-41fb-9404-00a366051781 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Effects of embedded questions in pre-class videos on learner perceptions, video engagement, and learning performance
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 20973e5a-5370-4f10-9116-90347f4fe671 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Understanding in-video dropouts and interaction peaks in online lecture videos
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 87f9ba7d-9d0e-434b-a28e-c20841160565 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives How video production affects student engagement: An em- pirical study of MOOC videos
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation db74988f-4991-43b0-9332-70dfcc077093 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09563f02-50ea-446e-ad01-c55d6df1a2c1 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Context and memory in multimedia content analysis.IEEE Multimedia, 11(3):7– 11, 2004
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fba2a950-963b-49f0-901c-6289fc9565a4 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Soccer video summarization using deep learning
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0c2e0241-053e-4bf9-8802-8caf48c6851a · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Automatic lecture video content summarization with attention- based recurrent neural network
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 28fa2311-b86e-466f-9357-35eee05b3100 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Effects of different video lecture types on attention, emotion, cognitive load, and learning performance
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 833ee053-f349-489f-9852-72aa7acd8b36 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Effects of video instructor’s body language on students’ visual attention: An eye-tracking study
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3915ec64-43e4-47fe-829c-41c224abea78 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Thinking in Perspective: Critical Essays in the Study of Thought Processes
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4b7ef9bd-e1e9-4e57-8e57-073a649509bb · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives OpenPose: Real-time multi-person 2D pose estimation using Part Affinity Fields
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9c6e8eab-35f9-49a5-b6dd-60b798d01192 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives An iterative image registration technique with an application to stereo vision
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7a615e09-a08c-4b84-be9e-e8d1fc38552d · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Audio Spectrogram Representations for Processing with Convolutional Neural Networks
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 037bb036-ccc1-48e8-9c7c-320a15dacca3 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Speech synthesis
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e1f53ccf-de00-4fd9-85c8-c642663a4f26 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Eye-tracking students’ attention to Pow- erPoint photographs in science education
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 28fa639e-b8cd-4109-9160-9900201dfc0c · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Importance of input data normalization for neural networks in industrial problems
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c5f86d90-7c13-4dfe-b95a-c41012c748f3 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Smoothing and differentiation of data by simplified least squares procedures
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dada3020-cb32-4d6c-a80c-32af5a2667cd · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Barriers to distance learning during the COVID-19 outbreak: A qualitative review
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5685632b-bca1-4b33-9926-fa169efa0cd3 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Case studies for self- directed learning using lecture archives
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0031d30b-450f-450f-9cd7-de67ac19ae39 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Automated summarization of lecture videos
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 41738b64-96da-4364-8aad-ce8103f1c330 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives The impacts of instructor’s visual attention and lecture type on learning performance
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 307fbbeb-1613-4202-bd7a-d683a8eba2f3 · outbound
Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.