Paper Citation Record · LEDGER

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design

As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2501.18538.

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

pith.paper-citation-record.v1
2501.18538 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:09:38.303269Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

18 of 18 outbound references displayed

verified exact5
verified fuzzy3
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 858d8210-6064-4fe7-87a7-7eff6c4ac546 · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design Deep Residual Learning for Image Recognition,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T23:09:38.227387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 524dc688-00ac-46a0-8697-ab15fdc60975 · outbound

This paper cites Squeeze-and-Excitation Networks,.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design Squeeze-and-Excitation Networks,

Reference 2

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T23:09:39.213952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e01c920-9b8e-4162-b57c-f7ef64dd46da · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T23:09:38.236843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e83cce2a-4906-4602-9aa3-75a20a0bf5d5 · outbound

This paper cites Transformer -Based Multimodal Emotional Perception for Dynamic Facial Expression Recognition in the Wild,.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design Transformer -Based Multimodal Emotional Perception for Dynamic Facial Expression Recognition in the Wild,

Reference 4

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T23:09:39.030826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a65deb79-36c4-40a7-9ecd-3373fdc73b28 · outbound

This paper cites Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and Analysis.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and Analysis

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T23:09:38.779807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f331c33-748e-4b64-852a-b8a25ab3ea04 · outbound

This paper cites Velocity averaging under minimal conditions for deterministic and stochastic kinetic equations with irregular drift.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design Velocity averaging under minimal conditions for deterministic and stochastic kinetic equations with irregular drift

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T23:09:38.764399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 795b7a08-de6a-499b-845a-cc59d93500ec · outbound

This paper cites VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T23:09:38.255341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71a308b5-270a-41a5-b5c2-e6d195e0ccd7 · outbound

This paper cites A novel facial emotion recognition model using segmentation VGG-19 architecture,.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design A novel facial emotion recognition model using segmentation VGG-19 architecture,

Reference 8

Resolution: malformed identifier; doi_truncated, observed 2026-08-09T23:09:38.336962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56a95ce1-e0cd-495f-aca9-7257421dc371 · outbound

This paper cites EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition,.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition,

Reference 9

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T23:09:38.738391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 133a6e5f-91f2-45de-8d72-64ff54148ce4 · outbound

This paper cites Facial Expression Recognition Using Residual Masking Network,.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design Facial Expression Recognition Using Residual Masking Network,

Reference 10

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T23:09:38.586470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34824372-fcb3-4694-9258-18dbc659b84f · outbound

This paper cites ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-09T23:09:38.406769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06add19c-a505-4694-84bd-6b307f634f58 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T23:09:38.277682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65da0f4-33b4-4b2b-b187-c1b245134fff · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T23:09:38.282278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edeb9492-da05-43c7-bb63-165709b0eeff · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design Distilling the Knowledge in a Neural Network

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T23:09:38.286857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8180fbc-8897-4f41-8d12-985fb5ed718b · outbound

This paper cites Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection,.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:09:39.249858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 37a7bb92-076d-4477-81cc-f8281f1627b4 · outbound

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

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design Challenges in representation learning: A report on three machine learning contests,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:09:39.237990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2183f978-b0fe-4aa1-89aa-f8919fa1af09 · outbound

This paper cites Reliable crowdsourcing and deep locality- preserving learning for expression recognition in the wild,.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design Reliable crowdsourcing and deep locality- preserving learning for expression recognition in the wild,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:09:39.226476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 09a94ef2-5cc5-4404-88f0-751870b39395 · outbound

This paper cites Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond.

Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T23:09:38.303269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.