Paper Citation Record · LEDGER

Emotion estimation from video footage with LSTM

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2501.13432.

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

pith.paper-citation-record.v1
2501.13432 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:11:55.527385Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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 exact0
verified fuzzy21
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77282fcd-5ea1-48c6-a3a6-37ac3b5a711f · outbound

This paper cites an unresolved cited work.

Emotion estimation from video footage with LSTM Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:11:55.892479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e41b8a2-5ef8-4b74-8819-d33998984888 · outbound

This paper cites Challenges in representation learning: A report on three machine learning contests.

Emotion estimation from video footage with LSTM Challenges in representation learning: A report on three machine learning contests

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.881891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 418abca0-d45c-4269-a95f-318a91483333 · outbound

This paper cites Mediapipe: A framework for perceiving and processing reality.

Emotion estimation from video footage with LSTM Mediapipe: A framework for perceiving and processing reality

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.871440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37ef413d-8596-45ab-91a9-d66ee2420be0 · outbound

This paper cites Facial emotion recognition using handcrafted features and cnn.Procedia Computer Science, 218:1295–1303, 2023.

Emotion estimation from video footage with LSTM Facial emotion recognition using handcrafted features and cnn.Procedia Computer Science, 218:1295–1303, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.860517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d67ef0db-6b27-4828-9520-66e49287627b · outbound

This paper cites A real-time robust facial expression recognition system using hog features.

Emotion estimation from video footage with LSTM A real-time robust facial expression recognition system using hog features

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.849912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a01f592-c58c-490a-9593-455f0aabd9fa · outbound

This paper cites Deep facial expression recognition: A survey.

Emotion estimation from video footage with LSTM Deep facial expression recognition: A survey

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.840872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0cdba29d-0a5f-4e90-82be-a95e6ca16ae0 · outbound

This paper cites Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing.

Emotion estimation from video footage with LSTM Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.831230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5f2960b-9a69-4741-822c-9b46f6147b9e · outbound

This paper cites Image processing with neural networks—a review.

Emotion estimation from video footage with LSTM Image processing with neural networks—a review

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.821863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1987dfd8-2f5c-4614-99e9-394ef0dd917f · outbound

This paper cites Development of real-time landmark-based emotion recognition cnn for masked faces.

Emotion estimation from video footage with LSTM Development of real-time landmark-based emotion recognition cnn for masked faces

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.812209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce6f4110-966a-4483-80ef-c819060db657 · outbound

This paper cites MediaPipe: A Framework for Building Perception Pipelines.

Emotion estimation from video footage with LSTM MediaPipe: A Framework for Building Perception Pipelines

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T16:11:55.444793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6140115e-eb34-425b-851f-1d080a5688c1 · outbound

This paper cites Emotion recognition at a distance: The robustness of machine learning based on hand-crafted facial features vs deep learning models.

Emotion estimation from video footage with LSTM Emotion recognition at a distance: The robustness of machine learning based on hand-crafted facial features vs deep learning models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.801243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d298fd5a-625f-4fe2-bb82-3c5edf7acdde · outbound

This paper cites Comparison of facial landmark detection methods for micro-expressions analysis.

Emotion estimation from video footage with LSTM Comparison of facial landmark detection methods for micro-expressions analysis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.788938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66d8f029-7ce4-4fd7-a654-948d41daf9d1 · outbound

This paper cites Openface: An open source facial behavior analysis toolkit.

Emotion estimation from video footage with LSTM Openface: An open source facial behavior analysis toolkit

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.777220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 251f69f4-e945-4d2c-88f6-f406e47e603e · outbound

This paper cites Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng.

Emotion estimation from video footage with LSTM Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T16:11:55.459333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5887de22-0c3a-49af-a451-66a94ca3e8ae · outbound

This paper cites Practice and theory of blendshape facial models.

Emotion estimation from video footage with LSTM Practice and theory of blendshape facial models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.759713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66e4365f-5d4c-47e1-b1a7-0840e2d5279d · outbound

This paper cites What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System (F ACS).

Emotion estimation from video footage with LSTM What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System (F ACS)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.749344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12c8792d-d9ef-4656-b054-98924646a7c6 · outbound

This paper cites Facial expression and emotion.

Emotion estimation from video footage with LSTM Facial expression and emotion

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T16:11:55.470605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34beaf5e-3b15-4a47-8ad3-6b478184e61e · outbound

This paper cites Presentation and validation of the radboud faces database.

Emotion estimation from video footage with LSTM Presentation and validation of the radboud faces database

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.731525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8ddba5f-b088-4f47-9c23-d0ea76acb331 · outbound

This paper cites Long short-term memory.

Emotion estimation from video footage with LSTM Long short-term memory

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.720261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f82ab9c5-f76c-4b31-bb7c-47aa02eb34cf · outbound

This paper cites Deep learning, 2016.

Emotion estimation from video footage with LSTM Deep learning, 2016

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T16:11:55.480688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f764be2-943a-4dc0-82b9-c8fcc556a1d4 · outbound

This paper cites Hybrid deep neural networks for face emotion recognition.

Emotion estimation from video footage with LSTM Hybrid deep neural networks for face emotion recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.700858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ac84fb1-e74d-4113-8d93-da0b2aa845fe · outbound

This paper cites Web-based database for facial expression analysis.

Emotion estimation from video footage with LSTM Web-based database for facial expression analysis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.691007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58981d33-61a0-4eff-99a5-59ec8c547bf0 · outbound

This paper cites Induced disgust, happiness and surprise: an addition to the mmi facial expression database.

Emotion estimation from video footage with LSTM Induced disgust, happiness and surprise: an addition to the mmi facial expression database

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.681375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1bbed557-9a19-40d1-8bda-a103c1cf90bb · outbound

This paper cites From individual to group-level emotion recognition: Emotiw 5.0.

Emotion estimation from video footage with LSTM From individual to group-level emotion recognition: Emotiw 5.0

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.671452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3519a29c-1bf9-4cdf-ab95-bd07e4503c28 · outbound

This paper cites Multi-pie.

Emotion estimation from video footage with LSTM Multi-pie

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.660355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 350f8fe2-cf63-46e3-aa03-1317e7872600 · outbound

This paper cites Affectnet: A database for facial expression, valence, and arousal computing in the wild.

Emotion estimation from video footage with LSTM Affectnet: A database for facial expression, valence, and arousal computing in the wild

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T16:11:55.499691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 294b10ab-665a-44b3-9f7f-a9bd479d0677 · outbound

This paper cites Survey of resampling techniques for improving classification performance in unbalanced datasets.

Emotion estimation from video footage with LSTM Survey of resampling techniques for improving classification performance in unbalanced datasets

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T16:11:55.502645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5c56119-1878-4b08-9f20-84ee1594cf60 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Emotion estimation from video footage with LSTM Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T16:11:55.505979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a258dd6d-0f17-46f2-a7e2-04e9816eaae1 · outbound

This paper cites Recurrent neural networks.

Emotion estimation from video footage with LSTM Recurrent neural networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T16:11:55.509759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60aab4e2-83c2-429f-acfb-3c8981dcb6cd · outbound

This paper cites Kerastuner.

Emotion estimation from video footage with LSTM Kerastuner

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T16:11:55.513013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 370475d6-e56b-4e31-9d32-f64117767279 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Emotion estimation from video footage with LSTM Adam: A Method for Stochastic Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T16:11:55.516328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f3d063-03f6-4927-be9f-1a2ce3d6bd6a · outbound

This paper cites Decoupled Weight Decay Regularization.

Emotion estimation from video footage with LSTM Decoupled Weight Decay Regularization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T16:11:55.520288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7108a62-abe0-4af2-a6fc-1dfa9774527e · outbound

This paper cites Springer New York, New York, NY , 2008.

Emotion estimation from video footage with LSTM Springer New York, New York, NY , 2008

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:11:55.625726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7da8d5c2-3e20-4641-808b-037dfdad34c1 · outbound

This paper cites Focal Loss for Dense Object Detection.

Emotion estimation from video footage with LSTM Focal Loss for Dense Object Detection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T16:11:55.527385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.