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Paper Citation Record · LEDGER

DAiSEE: Towards User Engagement Recognition in the Wild

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1609.01885.

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

pith.paper-citation-record.v1
1609.01885 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:55:53.078917Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

25
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3e1d8f83-d17f-4a1b-a924-0ec658597ff3 · inbound

Human-in-the-Loop Annotation for Image-Based Engagement Estimation: Assessing the Impact of Model Reliability on Annotation Accuracy cites this paper.

Human-in-the-Loop Annotation for Image-Based Engagement Estimation: Assessing the Impact of Model Reliability on Annotation Accuracy DAiSEE: Towards User Engagement Recognition in the Wild

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T12:55:53.078917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:55:53.078917Z digest=sha256:218c51103cc7bea1448f8542c0132de831b326123b13361a58548473b4fc791e

Observation 41db60c9-dce7-428e-8e37-10976b7fe7db · inbound

DIPSER: A Dataset for In-Person Student Engagement Recognition in the Wild cites this paper.

DIPSER: A Dataset for In-Person Student Engagement Recognition in the Wild DAiSEE: Towards User Engagement Recognition in the Wild

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:32:26.094481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T02:29:34.858300Z digest=sha256:9e8cf7890f34ca30ac0228fb3f7e3be266d85a1ba5de780131c104ef66c2b93e

Observation 88c28f91-e285-4304-9b92-6484b0aed348 · inbound

Supervised Contrastive Learning for Ordinal Engagement Measurement cites this paper.

Supervised Contrastive Learning for Ordinal Engagement Measurement DAiSEE: Towards User Engagement Recognition in the Wild

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:42.053796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:42.053796Z digest=sha256:a0fadb802fce0e1fe83d50003266f57e42bb6897e7434c30c4f2abf88ea98a71

Observation ff24e86f-7ec8-45f6-a6b5-33d3c0a6c3a6 · inbound

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments cites this paper.

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments DAiSEE: Towards User Engagement Recognition in the Wild

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:41.896595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:41.896595Z digest=sha256:2b3d7d1b133780ddf55137b9df689e48d221bed4f7d1437367858ff1e3987450

Observation 7d26676f-4dda-4409-91c5-5d6b6983f53e · inbound

Attention-Guided Dual-Stream Learning for Group Engagement Recognition: Fusing Transformer-Encoded Motion Dynamics with Scene Context via Adaptive Gating cites this paper.

Attention-Guided Dual-Stream Learning for Group Engagement Recognition: Fusing Transformer-Encoded Motion Dynamics with Scene Context via Adaptive Gating DAiSEE: Towards User Engagement Recognition in the Wild

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:56:00.820523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:53:20.554638Z digest=sha256:48318fae5f973478be94243dad35d169dd591c521fc741e29e3978d54ac95fac

Observation cc600eca-c2b4-4524-a4d0-01dff9f74597 · inbound

PriorNet: Prior-Guided Engagement Estimation from Face Video cites this paper.

PriorNet: Prior-Guided Engagement Estimation from Face Video DAiSEE: Towards User Engagement Recognition in the Wild

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T11:01:31.763935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T17:52:38.238603Z digest=sha256:e38279ff49c3fd5081ede463df6837414b1c2f9826de653ba623e5e21f8b0800

Observation 62d29d19-36db-4522-badf-9464f8f5f27b · inbound

Not Every Subject Should Stay: Machine Unlearning for Noisy Engagement Recognition cites this paper.

Not Every Subject Should Stay: Machine Unlearning for Noisy Engagement Recognition DAiSEE: Towards User Engagement Recognition in the Wild

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:26:06.774037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T17:35:42.477335Z digest=sha256:23df3a0cccfea0135bde72e1578f8fca37319b5c917314b93ff5b0ec6636d18f

Observation ea3ba522-45e9-4fb7-810c-9ea12a44ecce · inbound

Towards Trust Calibration in Socially Interactive Agents: Investigating Gendered Multimodal Behaviors Generation with LLMs cites this paper.

Towards Trust Calibration in Socially Interactive Agents: Investigating Gendered Multimodal Behaviors Generation with LLMs DAiSEE: Towards User Engagement Recognition in the Wild

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:38:05.556186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T06:37:20.291661Z digest=sha256:ddd33347f481b57aef65e798881a7d17651ade99ff03a3bec0623bfcd33e922f

Observation 56d77ddf-d018-4d79-9ae1-67914cf906fc · inbound

Zero-Shot Vision-Language Models for Classroom Engagement Recognition: A Benchmark Study of Prompt Sensitivity and Cross-Dataset Generalization cites this paper.

Zero-Shot Vision-Language Models for Classroom Engagement Recognition: A Benchmark Study of Prompt Sensitivity and Cross-Dataset Generalization DAiSEE: Towards User Engagement Recognition in the Wild

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:59:39.532943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T12:31:37.598080Z digest=sha256:196954b85515eb65ba6e1626ca19567143d0edba716cd6707c4d1f2309ef6329

Observation 3682edee-abee-40f1-9346-64579c762833 · inbound

Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets cites this paper.

Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets DAiSEE: Towards User Engagement Recognition in the Wild

Reference 177

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T09:19:17.124145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T09:12:19.873337Z digest=sha256:e7d4a8d5377b3d4643edb68301f863c38fa26c53a1628e3ef76b90ecb2de373a

Observation 1ef0a9a5-052f-432f-9f42-f5721ac55b3c · inbound

Explainable graph attention network for stress recognition (StressGAT) via differential action units cites this paper.

Explainable graph attention network for stress recognition (StressGAT) via differential action units DAiSEE: Towards User Engagement Recognition in the Wild

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-01T09:23:24.239079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:23:24.239079Z digest=sha256:128e609d07d438e5e7ef750042bef939d258bc27437a95c6c5555b001db313e5