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Paper Citation Record · LEDGER

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.21903.

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

pith.paper-citation-record.v1
2506.21903 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:21:11.864952Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

34 of 34 outbound references displayed

  • verified exact2
  • verified fuzzy26
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57464f15-7492-4417-8157-21918618e837 · outbound

This paper cites How video production affects student engagement: An empirical study of mooc videos,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment How video production affects student engagement: An empirical study of mooc videos,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 857dfb82-1faf-4d2d-8016-5d4a78fcd562 · outbound

This paper cites Students’ and instructors’ use of massive open online courses (moocs): Motivations and challenges,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Students’ and instructors’ use of massive open online courses (moocs): Motivations and challenges,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T22:21:16.166797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 33c917b7-fad1-4bb1-ab39-683fb3c13aa9 · outbound

This paper cites Student perceptions of indexed, searchable videos of faculty lectures,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Student perceptions of indexed, searchable videos of faculty lectures,

Reference 3

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raw_fallback, observed 2026-08-06T22:21:16.005641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7e67a4fa-967c-4543-94ea-3aa44c712d23 · outbound

This paper cites Information retention from powerpoint™ and traditional lectures,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Information retention from powerpoint™ and traditional lectures,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T22:21:15.808544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4ec3f865-a178-4314-a0e3-cd041baa9c4b · outbound

This paper cites Powerpoint’s power in the classroom: Enhancing students’ self-efficacy and attitudes,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Powerpoint’s power in the classroom: Enhancing students’ self-efficacy and attitudes,

Reference 5

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raw_fallback, observed 2026-08-06T22:21:15.699746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f37732f0-e9ac-4b13-aa3d-61b5c8f50c45 · outbound

This paper cites How the design of presentation slides affects audience comprehension: A case for the assertion-evidence approach,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment How the design of presentation slides affects audience comprehension: A case for the assertion-evidence approach,

Reference 6

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raw_fallback, observed 2026-08-06T22:21:15.546960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:10.237368Z digest=sha256:86393dc3eccb32a3d151f31ff5b0b665eb80489ce5d91739d5ce5d834ce5c23d

Observation 2d7e87ed-5e77-4811-9131-6ffca9f825dc · outbound

This paper cites Aids to computer-based multimedia learning,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Aids to computer-based multimedia learning,

Reference 7

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raw_fallback, observed 2026-08-06T22:21:15.295731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:10.271573Z digest=sha256:eea92dc1049ca2217f2d50960aef40868720f9201206cd99ff4cf9f3e4451f26

Observation 975625ba-c954-4662-80a8-af98af33f25d · outbound

This paper cites Animations need narrations: An experimental test of a dual-coding hypothesis.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Animations need narrations: An experimental test of a dual-coding hypothesis

Reference 8

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raw_fallback, observed 2026-08-06T22:21:15.165101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:10.323868Z digest=sha256:958b8144cc9e7b4aea37078ae07d23888588edd7b0eeb0c32c7dd13143e5de1c

Observation 7b68b99a-ebe2-4d0e-a623-0ed6ecfce079 · outbound

This paper cites Cognitive principles of multimedia learning: The role of modality and contiguity.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Cognitive principles of multimedia learning: The role of modality and contiguity

Reference 9

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raw_fallback, observed 2026-08-06T22:21:14.989548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:10.395897Z digest=sha256:42a349ce7d19544012915ee44cab3447ffd72fba6f5c337bfec5cc5077d7ebca

Observation 0b764b20-ad94-43be-9fd0-34295ff56022 · outbound

This paper cites Vizig: Anchor points based non-linear navigation and summarization in educational videos,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Vizig: Anchor points based non-linear navigation and summarization in educational videos,

Reference 10

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raw_fallback, observed 2026-08-06T22:21:14.808350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:10.482854Z digest=sha256:5367588d3e3bd6f42615b6d409dbb888804460632e0bd12914999c7a4b0dd17f

Observation a04bf3d2-421a-4469-9980-a2d5890c850b · outbound

This paper cites Enhancing lecture video navigation with AI generated summaries,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Enhancing lecture video navigation with AI generated summaries,

Reference 11

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raw_fallback, observed 2026-08-06T22:21:14.652804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:10.539677Z digest=sha256:f2918e23d1f8bcf5fdea632d896453ed0be3bf0c11d8f6efa78fedab206eba40

Observation 0f67407a-c95f-4d8a-99bd-dda1afab966b · outbound

This paper cites Fastperson: Enhancing video-based learning through video summarization that preserves linguistic and visual contexts,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Fastperson: Enhancing video-based learning through video summarization that preserves linguistic and visual contexts,

Reference 12

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raw_fallback, observed 2026-08-06T22:21:14.526449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:10.596165Z digest=sha256:5c39d2f419b58624d2c25fac288278b83ea1815ea776ae96d0f7d44382ee55cc

Observation 8ef8927a-3f30-4d5a-84c0-e257157bfe07 · outbound

This paper cites Fitvid: Responsive and flexible video content adaptation,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Fitvid: Responsive and flexible video content adaptation,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T22:21:14.353315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:10.633959Z digest=sha256:ee0a0f1b0f7ba03a6407d1f9fe83ec8a1aefbec1ccf370cae83c655821ac5463

Observation cbc23b2b-2bab-4ce5-8b1c-b555c77b1312 · outbound

This paper cites Say it all: Feedback for improving non-visual presentation accessibility,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Say it all: Feedback for improving non-visual presentation accessibility,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T22:21:14.261103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 362302ab-fa6e-468c-adb1-b898f9978cba · outbound

This paper cites Lecture2note: Automatic generation of lecture notes from slide-based educational videos,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Lecture2note: Automatic generation of lecture notes from slide-based educational videos,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T22:21:14.154270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1522d689-11a7-4f8b-bc77-03b8405f7c16 · outbound

This paper cites Identification of visual objects in lecture videos with color and keypoints analysis,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Identification of visual objects in lecture videos with color and keypoints analysis,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:21:14.074933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ad96fcd1-dfac-4b87-8ba5-5fdc68bd5f07 · outbound

This paper cites Semantic navigation of powerpoint-based lecture video for autonote generation,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Semantic navigation of powerpoint-based lecture video for autonote generation,

Reference 17

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raw_fallback, observed 2026-08-06T22:21:13.942281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f81a97a0-dda3-4864-8799-aa78a225644d · outbound

This paper cites Enhancing lecture video navigation with AI generated summaries,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Enhancing lecture video navigation with AI generated summaries,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:21:13.826182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:10.930909Z digest=sha256:d37a006c376ad44f0422c218640cad0ee15e3ac1ef71bcd31a42b402e636f272

Observation f14cf311-c44c-4a2b-a623-c3e7eadd9aba · outbound

This paper cites Automatic explanation spot estimation method targeted at text and figures in lecture slides.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Automatic explanation spot estimation method targeted at text and figures in lecture slides

Reference 19

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raw_fallback, observed 2026-08-06T22:21:13.696445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2b0efcb3-e977-467d-8ad3-ad1e904ddac2 · outbound

This paper cites Videopoints: Lecture video platform,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Videopoints: Lecture video platform,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:11.098655Z digest=sha256:5ff69cf8681a2ce991095cce0e127a7c3466a29ba46b086f33bcf9e70ad5fc37

Observation dfd337f4-35fc-40f2-b20a-423f42faed24 · outbound

This paper cites Lecture presentations multimodal dataset: Towards understanding multimodality in educational videos,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Lecture presentations multimodal dataset: Towards understanding multimodality in educational videos,

Reference 21

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raw_fallback, observed 2026-08-06T22:21:13.490773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d6093100-3817-4bca-abb7-fdc1e21ba04b · outbound

This paper cites Lecture Video Visual Objects (LVVO) Dataset: A Benchmark for Visual Object Detection in Educational Videos.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Lecture Video Visual Objects (LVVO) Dataset: A Benchmark for Visual Object Detection in Educational Videos

Reference 22

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local_arxiv, observed 2026-08-06T22:21:12.364743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8703702f-3406-4197-abc2-9cff74ee8c95 · outbound

This paper cites Microsoft coco: Common objects in context,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Microsoft coco: Common objects in context,

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 491adaf6-c5dd-4ac6-8b45-1cd68933ade3 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 24

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no resolver link, observed 2026-08-06T22:21:11.291336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7bcf8cba-e069-48a3-bc29-24e800a9ac44 · outbound

This paper cites Ssd: Single shot multibox detector,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Ssd: Single shot multibox detector,

Reference 25

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no resolver link, observed 2026-08-06T22:21:11.350885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:21:11.350885Z digest=sha256:ff56bf50baaf10a1ec21e1f7a8040a40e31b19e60c7b9d4678c33c901ca3bef1

Observation fdd33c89-1321-4d76-8c6c-1dbd660d0411 · outbound

This paper cites Mask r-cnn,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Mask r-cnn,

Reference 26

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no resolver link, observed 2026-08-06T22:21:11.384811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:21:11.384811Z digest=sha256:f6a603707593d99cd3c86992be0c3cd84d63d1e507bf5a4d5b50fcd8fbfd2967

Observation 7e89c63e-28b4-41a1-8f83-43953463b5f3 · outbound

This paper cites Focal loss for dense object detection,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Focal loss for dense object detection,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3734e422-473d-4064-a5ab-c35fe0051233 · outbound

This paper cites Fully convolutional one-stage 3d object detection on lidar range images,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Fully convolutional one-stage 3d object detection on lidar range images,

Reference 28

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raw_fallback, observed 2026-08-06T22:21:13.291512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:11.486195Z digest=sha256:6e5651f7af31f2d0d30afbdcd8a4176dcba13087104fb81f5e4b3ddb1dc7b848

Observation 15bf1b5a-1a62-433e-a4c6-ca181ef0f212 · outbound

This paper cites YOLOv11 Documentation,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment YOLOv11 Documentation,

Reference 29

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raw_fallback, observed 2026-08-06T22:21:13.130971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 29cca72e-fbe1-4655-b5ea-07eec658bf78 · outbound

This paper cites How transferable are features in deep neural networks?.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment How transferable are features in deep neural networks?

Reference 30

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raw_fallback, observed 2026-08-06T22:21:12.781501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:11.690990Z digest=sha256:37e010c96d29fc5297f2a74fb1b538ae20ab585922d0a6a10852e679ee312215

Observation e67e19e7-a688-46f1-bb49-8d77e4263afe · outbound

This paper cites Meta-retinanet for few-shot object detection.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Meta-retinanet for few-shot object detection

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T22:21:12.587405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:11.744756Z digest=sha256:6742f98b85cfc5f58c462b31a18a5365285993e73b2894eb19b22900e0bf9dda

Observation d96b235e-3cd7-436d-b467-a49c96a42c76 · outbound

This paper cites Ultralytics yolo11,.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Ultralytics yolo11,

Reference 32

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unresolved
no resolver link, observed 2026-08-06T22:21:11.864952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2f46fc90-5791-49a6-a6be-b8dfac3a64cb · outbound

This paper cites Available: https://doi.org/10.1007/s10639-023-11866-7.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Available: https://doi.org/10.1007/s10639-023-11866-7

Reference 2024

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doi, observed 2026-08-06T22:21:12.100555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:10.994730Z digest=sha256:5b778b74936c233a0520f667538c766b8dad0a8950d32348e6827a4546cf9d82

Observation f2cebb53-e812-49d8-8909-05cae1df5501 · outbound

This paper cites Available: https://docs.ultralytics.com/models/yolo11.

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment Available: https://docs.ultralytics.com/models/yolo11

Reference 2025

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verified fuzzy
raw_fallback, observed 2026-08-06T22:21:12.873948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:21:11.619217Z digest=sha256:e10987e217103f5a32cf2accc53ee1270694346e2f71305d9609d1c00f5833a0

Pith citing papers

No inbound Pith citation observations are available.