Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:37:33.989944Z
Paper Citation Record · LEDGER
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
As of 18 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2501.01245.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:19:03.529663Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T20:19:04.762757Z
Reference resolution
16 of 16 outbound references displayed
- verified exact0
- verified fuzzy7
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 084a6e37-c872-4a68-ba26-7a9b5df564e1 · outbound
This paper cites See https://vicuna.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization See https://vicuna
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:37:34.481887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4f79a517-e34d-4881-b30e-b879115dbd53 · outbound
This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization Improved Regularization of Convolutional Neural Networks with Cutout
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:37:33.912254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f47afa19-0b36-462a-b084-c44ccfb345fd · outbound
This paper cites PaLM-E: An Embodied Multimodal Language Model.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization PaLM-E: An Embodied Multimodal Language Model
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:37:33.917295Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 915ee6af-cd7b-4b20-b759-8362c0016d8b · outbound
This paper cites Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:37:33.931226Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bfdad23-8556-4a7d-b21d-d49b20336729 · outbound
This paper cites In Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition, 9568– 9578.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization In Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition, 9568– 9578
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:37:34.417401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 53bc015a-3cfa-4e93-aec8-f0d577dbe6be · outbound
This paper cites IEEE Access.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization IEEE Access
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:37:34.395969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 83020ceb-ef7e-4bd7-9694-efd5b80cf17f · outbound
This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 26077–26087.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 26077–26087
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:37:34.374188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9c605137-5d0b-461f-a0c0-26dfbf061253 · outbound
This paper cites ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:37:33.961647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd4c1bb8-80d1-4d77-9dee-c730f417f8b3 · outbound
This paper cites VideoGLUE: Video General Understanding Evaluation of Foundation Models.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization VideoGLUE: Video General Understanding Evaluation of Foundation Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:37:33.978829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd6903af-9981-4dfb-a805-811385cccc95 · outbound
This paper cites run- ning.
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:37:33.984143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c74e98ee-91df-437a-b8fd-15291f28c71e · outbound
This paper cites forward” vs. “backward.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization forward” vs. “backward
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:37:34.353289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5be50374-cfd3-46e9-85a9-6eed03e1ea57 · outbound
This paper cites Hong, J.; Fisher, M.; Gharbi, M.; and Fatahalian, K.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization Hong, J.; Fisher, M.; Gharbi, M.; and Fatahalian, K
Reference 329
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:37:34.437249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c8117453-c2de-4cbc-94f4-dae5a944dee0 · outbound
This paper cites In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:37:33.936316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 689cd4c8-2f6e-4a32-a9c6-570889a5d0b4 · outbound
This paper cites In European conference on computer vision, 242–259.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization In European conference on computer vision, 242–259
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:37:34.457115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e0c82653-6121-4f62-b930-296d5db7f578 · outbound
This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:37:33.901652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1667a234-4d85-4b5c-bd30-39e2921aa469 · outbound
This paper cites CMT: Cross Modulation Transformer with Hybrid Loss for Pansharpening.
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization CMT: Cross Modulation Transformer with Hybrid Loss for Pansharpening
Reference 2024
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-10T22:37:34.226854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
Observation 30c29b88-d4f5-4fca-9cf8-92cdf6eb58ca · inbound
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance cites this paper.
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T20:19:04.855458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.