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Paper Citation Record · LEDGER

Semantic Data Augmentation for Long-tailed Facial Expression Recognition

As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2411.17254.

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

pith.paper-citation-record.v1
2411.17254 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:23:57.593939Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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 exact1
  • verified fuzzy27
  • unresolved5
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b22286e-7254-4d7f-b7c6-5b4096fe032c · outbound

This paper cites Learn from all: Erasing attention consistency for noisy label facial expression recognition.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Learn from all: Erasing attention consistency for noisy label facial expression recognition

Reference 1

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verified fuzzy
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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.

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Observation 602829cb-7385-4dc3-bfec-5bc20fa6842e · outbound

This paper cites Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition

Reference 2

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verified exact
local_arxiv, observed 2026-08-12T12:23:57.639173Z

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.

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Observation a97d8353-3f5c-4d69-b2a1-7714e36c3e22 · outbound

This paper cites Facial expression recognition by de-expression residue learning.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Facial expression recognition by de-expression residue learning

Reference 3

Resolution
verified fuzzy
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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.

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Observation bd7aa587-a5fc-41ae-bed1-25fb5b6ce32e · outbound

This paper cites Facial expression recognition in the wild via deep attentive center loss.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Facial expression recognition in the wild via deep attentive center loss

Reference 4

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verified fuzzy
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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.

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Observation 1774271e-177d-40fb-8eb0-a4532ba6c4b7 · outbound

This paper cites Identity-free facial expression recognition using conditional generative adversarial network.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Identity-free facial expression recognition using conditional generative adversarial network

Reference 5

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verified fuzzy
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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.

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Observation 3532a66a-d289-4dc7-915e-7636ce8c6675 · outbound

This paper cites Island loss for learning discriminative features in facial expression recognition.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Island loss for learning discriminative features in facial expression recognition

Reference 6

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verified fuzzy
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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.

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Observation d7eb8510-ffa1-42b0-b3bc-69ab6815a471 · outbound

This paper cites Facenet2expnet: Regularizing a deep face recognition net for expression recognition.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Facenet2expnet: Regularizing a deep face recognition net for expression recognition

Reference 7

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raw_fallback, observed 2026-08-12T12:23:57.911232Z

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.

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Observation 9b53be7f-3ed2-4f86-9e78-c6f07fea5ec5 · outbound

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

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Affectnet: A database for facial expression, valence, and arousal computing in the wild

Reference 8

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malformed identifier
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 98459735-4ee5-402a-bb1a-f1d622bf854c · outbound

This paper cites Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-12T12:23:57.895763Z

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.

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Observation abbb50df-8807-4107-a424-6fe09c064097 · outbound

This paper cites Test-agnostic long-tailed recognition by test-time aggregating diverse experts with self-supervision.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Test-agnostic long-tailed recognition by test-time aggregating diverse experts with self-supervision

Reference 11

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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.

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Observation 041763d0-8031-4a89-9575-d5d0e87a0e02 · outbound

This paper cites Long-tailed recognition via weight balancing.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Long-tailed recognition via weight balancing

Reference 12

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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.

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Observation cdd4c34a-cf99-4395-be18-02f3faa216cc · outbound

This paper cites Deep Long-Tailed Learning: A Survey.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Deep Long-Tailed Learning: A Survey

Reference 13

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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.

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Observation 6a56d9f1-b8dc-401a-858f-c326c7a51422 · outbound

This paper cites A comprehensive survey of image augmentation techniques for deep learning.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition A comprehensive survey of image augmentation techniques for deep learning

Reference 14

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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.

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Observation 831b9547-d314-4192-a956-1cc91348dd49 · outbound

This paper cites an unresolved cited work.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Unresolved cited work

Reference 15

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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.

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Observation b4507d38-879f-422f-b34a-51178c518555 · outbound

This paper cites SMOTE: synthetic minority over-sampling technique.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition SMOTE: synthetic minority over-sampling technique

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-12T12:23:57.825959Z

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.

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Observation 926199e3-9e36-416d-95fb-8d9f1608cd21 · outbound

This paper cites Remix: rebalanced mixup.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Remix: rebalanced mixup

Reference 17

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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.

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Observation d14de2c3-41bf-443f-90b7-268f09a881ce · outbound

This paper cites Mixaugment & mixup: Augmentation methods for facial expression recognition.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Mixaugment & mixup: Augmentation methods for facial expression recognition

Reference 18

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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.

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Observation c50a3c24-daf1-4221-a490-b72300fa53e1 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition mixup: Beyond Empirical Risk Minimization

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f674ede3-c565-4f49-8bac-418bc9de307e · outbound

This paper cites Bengio, G.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Bengio, G

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 57b31948-d41e-4656-9459-0d83b9172a34 · outbound

This paper cites Upchurch, J.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Upchurch, J

Reference 21

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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.

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Observation 6a8976b3-2a20-48d7-b501-3f445500b4b8 · outbound

This paper cites an unresolved cited work.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Unresolved cited work

Reference 22

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unresolved
raw_fallback, observed 2026-08-12T12:23:57.775164Z

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.

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Observation a93fdbdb-75ff-4489-8b73-3f524866b90f · outbound

This paper cites Metasaug: Meta semantic augmentation for long- tailed visual recognition.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Metasaug: Meta semantic augmentation for long- tailed visual recognition

Reference 23

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verified fuzzy
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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.

source=pdf_text observed=2026-08-12T12:23:57.551889Z digest=sha256:60008cf5905a26d298067b34dbbb1f3758bb235cc9a8e29d60c8efdc270416f5

Observation 7a8a4770-5604-46c4-895c-c9214d8e6a84 · outbound

This paper cites Feature space augmentation for long-tailed data.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Feature space augmentation for long-tailed data

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:23:57.754918Z

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.

source=pdf_text observed=2026-08-12T12:23:57.555175Z digest=sha256:f4057aba788370964328f22a0432e637e88565f167dd7dfffaa797f593fddbd8

Observation 11b4bf99-d6f2-444a-8183-f344e99d5792 · outbound

This paper cites M2m: Imbalanced classification via major-to-minor translation.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition M2m: Imbalanced classification via major-to-minor translation

Reference 25

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-12T12:23:57.558766Z digest=sha256:f45efbcea2fe938f39362d1c85b397e7890bb760baf773ee2d6c8dd851b9c9cd

Observation 14c12fb8-6e7d-4e18-8d51-7bb6dd29027a · outbound

This paper cites Doping: Generative data augmentation for unsupervised anomaly detection with gan.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Doping: Generative data augmentation for unsupervised anomaly detection with gan

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:23:57.733689Z

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.

source=pdf_text observed=2026-08-12T12:23:57.562670Z digest=sha256:1d251c5798b2837b97a0da4558d3f3a57139e5786ccb82909617d73872d5f86c

Observation eeae3511-c6a5-4bbf-92fb-4cf8bc43d072 · outbound

This paper cites BAGAN: Data Augmentation with Balancing GAN.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition BAGAN: Data Augmentation with Balancing GAN

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:23:57.723081Z

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.

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Observation 1200e968-d699-4da2-9450-39a21eca705f · outbound

This paper cites Ida-gan: A novel imbalanced data augmentation gan.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Ida-gan: A novel imbalanced data augmentation gan

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:23:57.713041Z

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.

source=pdf_text observed=2026-08-12T12:23:57.569644Z digest=sha256:468a7ff5fbc1cc5dfadcceae1b3304876ee1899f455ec4b9ef7c129fe6dce444

Observation e1cd9bb4-b93d-4506-a9b9-36460238f274 · outbound

This paper cites Emotion classification with data augmentation using generative adversarial networks.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Emotion classification with data augmentation using generative adversarial networks

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:23:57.702447Z

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.

source=pdf_text observed=2026-08-12T12:23:57.572969Z digest=sha256:8825abb23181ef4cf0ea9090ac3915b748319f9dc6af3e39e6994174e197e9c6

Observation 7936e19b-57fd-4ec8-98c0-8b4fafc5b51f · outbound

This paper cites an unresolved cited work.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Unresolved cited work

Reference 30

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unresolved
raw_fallback, observed 2026-08-12T12:23:57.691700Z

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.

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Observation b856dfdf-b626-45ad-8a2e-4e35bcb18494 · outbound

This paper cites Deep residual learning for image recognition.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Deep residual learning for image recognition

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T12:23:57.579774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:23:57.579774Z digest=sha256:6f4448b9cbaebc2b0397db8e35b164e14567c83e6c7f67cf3aa2101754ae4fed

Observation 1dec197b-65df-4468-99b7-b8a7f493af54 · outbound

This paper cites Brock, J.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Brock, J

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:23:57.673449Z

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.

source=pdf_text observed=2026-08-12T12:23:57.583882Z digest=sha256:9dddc6cfda98aed5cf94068f5e288e23659dfa92c5598d9f583cc017bf79b6e0

Observation 220e09d3-fc4f-40a0-9c05-0eb7c2cfcb2d · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition The unreasonable effectiveness of deep features as a perceptual metric

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:23:57.662294Z

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.

source=pdf_text observed=2026-08-12T12:23:57.587384Z digest=sha256:c9f1cd28d0f210035074fe3459cbc0e043c0b77beba5e6d25f58b5c46989f2c5

Observation 3b7ec3ea-b087-46b6-9ed0-499feabf943b · outbound

This paper cites Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:23:57.650976Z

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.

source=pdf_text observed=2026-08-12T12:23:57.590747Z digest=sha256:ef941d9d74e642bca06f4221e2d03da4ff86120dbd8ac233669244c671b525d5

Observation 43dea9f0-0b5f-4e6d-af8a-654511663d15 · outbound

This paper cites Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition.

Semantic Data Augmentation for Long-tailed Facial Expression Recognition Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:23:57.886060Z

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.

source=pdf_text observed=2026-08-12T12:23:57.593939Z digest=sha256:613a9c118343bb5930efedfd4bae85ac002282fc8ea26d95a65207ddc80aa6bb

Pith citing papers

No inbound Pith citation observations are available.