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Paper Citation Record · LEDGER

NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2206.04975.

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

pith.paper-citation-record.v1
2206.04975 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:26:40.433953Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:17:22.410885Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cdf53b70-942b-4837-a620-b459d7c9cd1b · inbound

Recent Advances in Multimodal Affective Computing: An NLP Perspective cites this paper.

Recent Advances in Multimodal Affective Computing: An NLP Perspective NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition

Reference 271

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:23:27.729784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-23T21:19:06.228443Z digest=sha256:e9f2c603b973d7e01e801466ca965daa983f16045fb13650922705efb5e10857

Observation 45043642-b055-4233-9f29-c41eaaa828ba · inbound

Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild cites this paper.

Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T13:26:40.433953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:26:40.433953Z digest=sha256:6d9d7a8f1382f6a02d0c0feba5c78e2ab0db6493e3b56b69669a7d534ce00cb6

Observation 317b2d5b-ccf1-44f3-b460-bbe7032a5bff · inbound

Action Unit Enhance Dynamic Facial Expression Recognition cites this paper.

Action Unit Enhance Dynamic Facial Expression Recognition NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T18:41:13.868192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:41:13.868192Z digest=sha256:90b353202eb6354b7288f7aee558ff5693b8165e7f252f7bd8759e45e7e71625

Observation 5c53bea4-72b1-4926-8ec7-ed45a3ceb9b8 · inbound

From Coarse to Nuanced: Cross-Modal Alignment of Fine-Grained Linguistic Cues and Visual Salient Regions for Dynamic Emotion Recognition cites this paper.

From Coarse to Nuanced: Cross-Modal Alignment of Fine-Grained Linguistic Cues and Visual Salient Regions for Dynamic Emotion Recognition NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T17:08:58.322047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:08:58.322047Z digest=sha256:dcf4a29ea47b7bf2495216e4114a29453ac98cef3dbb5fb09dd21d296de13602

Observation 625d899b-dd17-4890-abd4-bbc18caacd69 · inbound

Text-guided Weakly Supervised Framework for Dynamic Facial Expression Recognition cites this paper.

Text-guided Weakly Supervised Framework for Dynamic Facial Expression Recognition NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T22:22:01.726119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:22:01.726119Z digest=sha256:48bd58870b809f25ef64c284f6f3832212b2d6b41b5283343398b7d8186d6aac

Observation e68b8038-11c6-4d0f-9b09-c9f5ca6f6fc0 · inbound

Bidirectional Learning of Facial Action Units and Expressions via Structured Semantic Mapping across Heterogeneous Datasets cites this paper.

Bidirectional Learning of Facial Action Units and Expressions via Structured Semantic Mapping across Heterogeneous Datasets NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:16:00.964032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T16:09:44.546711Z digest=sha256:3deb634dac1185825058bf8e1770774aafd2990ae39cab830e6a451a4300c92c

Observation 1d35fb8e-457c-4cd3-9738-d7a721c5a3a6 · inbound

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling cites this paper.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:03.062346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T14:55:16.255824Z digest=sha256:e66077b32dee0e882eaa0fb4aece99dca379e906e9b7db8ea53f5462106e4d5c

Observation 3eee09b2-c98a-4223-b04f-6c2cbf287f2c · inbound

Beyond Universality: The GCC-FER Dataset and Culture-Aware Adaptation for Dynamic Facial Expression Recognition cites this paper.

Beyond Universality: The GCC-FER Dataset and Culture-Aware Adaptation for Dynamic Facial Expression Recognition NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:17:22.412300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T20:34:20.923470Z digest=sha256:f3e6fbc125079064f1a7df198688303b2d7f9860f1097b4c3d90beca1f9acd38

Observation c5f3c006-8ad5-4e65-b523-27cbbf0a1a3d · inbound

Reweighting Framewise Attention in Video Transformers for Facial Expression Understanding cites this paper.

Reweighting Framewise Attention in Video Transformers for Facial Expression Understanding NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:34:41.193430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T05:54:24.767848Z digest=sha256:88ec3ec306a1d8359b893e08eebe529ac2ab8cb2811986076a0107005bb1827f

Observation 4d55def9-e991-4cf8-85d9-26b8e08de0f0 · inbound

Reweighting Framewise Attention in Video Transformers for Facial Expression Understanding cites this paper.

Reweighting Framewise Attention in Video Transformers for Facial Expression Understanding NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-12T10:31:49.351169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T10:31:49.351169Z digest=sha256:616af7655dfa560d393b8817eb08e3c4fe9b43217ae6d66ed25538e39c82524a