Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-25T05:24:53.628214Z
Paper Citation Record · LEDGER
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling
As of 22 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2605.23198.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
65 of 65 outbound references displayed
- verified exact3
- verified fuzzy55
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ddad9a06-dd4d-4325-bca3-e264c0ee9aaf · outbound
This paper cites Deep Learning Scaling is Predictable, Empirically.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Deep Learning Scaling is Predictable, Empirically
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T05:25:23.280458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1eed6c6e-6346-4ee3-a50f-e5f29c556bf9 · outbound
This paper cites A Constructive Prediction of the Generalization Error Across Scales.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling A Constructive Prediction of the Generalization Error Across Scales
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:25:23.285502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 019ecc54-6c2b-4861-b8fa-43891ce8ee86 · outbound
This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.716769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8f2f3347-ade1-421b-9ff4-ea78c9453b8f · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in Neural Information Processing Systems , volume=
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.710765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9a7aa55b-3ba2-4ab6-923d-d837ba2639f9 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling LLaMA: Open and Efficient Foundation Language Models
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T05:25:23.271235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8250142d-1c84-4c11-9f39-8a2d8b7dc164 · outbound
This paper cites GPT-4 Technical Report.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling GPT-4 Technical Report
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T05:25:23.275749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e0bd35ad-7b68-4e12-ac61-b1c45ececf4b · outbound
This paper cites International Conference on Learning Representations , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling International Conference on Learning Representations , year=
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.695503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7b0d7a60-bd11-492c-9f24-9f8a8a3cb8ac · outbound
This paper cites International Conference on Learning Representations , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling International Conference on Learning Representations , year=
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.704599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 92324043-5bce-4842-bf53-3eca700a3e90 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in Neural Information Processing Systems , volume=
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.707774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d0c68588-5c3b-4f9e-909f-c5df6dfcaee9 · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.720119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a5c236be-ae14-48ea-89e5-4649820b9558 · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.701565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 15785be3-b25f-4c4c-b2d8-f980acc7c228 · outbound
This paper cites Advances in neural information processing systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in neural information processing systems , volume=
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.726074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b9940404-7c2c-4c02-a6f7-608f73e2ccf3 · outbound
This paper cites The Eleventh International Conference on Learning Representations , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling The Eleventh International Conference on Learning Representations , year=
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.689279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fa77b330-9594-434b-a7e0-a508e719bad1 · outbound
This paper cites an unresolved cited work.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T11:50:46.713795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 09046c39-c7bb-4b47-a30e-a7fa35f9bdb7 · outbound
This paper cites The Eleventh International Conference on Learning Representations , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling The Eleventh International Conference on Learning Representations , year=
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.686455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 82cf9000-87f7-4772-9ef3-a311d11e2867 · outbound
This paper cites Forty-first International Conference on Machine Learning , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Forty-first International Conference on Machine Learning , year=
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.692440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9ee33657-ce3c-4cf3-8635-a6eb9076dd8b · outbound
This paper cites Advances in neural information processing systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in neural information processing systems , volume=
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.698340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8a72521f-05bd-4a29-a90a-2e309bd8c03e · outbound
This paper cites International Conference on Machine Learning , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling International Conference on Machine Learning , pages=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.723513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6f114d7f-de38-47a1-8775-4bc5058c653f · outbound
This paper cites Forty-first International Conference on Machine Learning , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Forty-first International Conference on Machine Learning , year=
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.837546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 80c2eaba-9383-4a39-8f64-6f3bbb6e244a · outbound
This paper cites 2024 , booktitle=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling 2024 , booktitle=
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.840546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0089b6c8-9fea-4e79-aeab-f0cc545abc88 · outbound
This paper cites Characterizing Structural Regularities of Labeled Data in Overparameterized Models.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Characterizing Structural Regularities of Labeled Data in Overparameterized Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:25:23.251750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c01ba000-4ee8-4625-93c8-75a135bd2237 · outbound
This paper cites 2023 , eprint=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling 2023 , eprint=
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.826382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d6df5d30-fc6c-43d4-a583-f51c7f33e62c · outbound
This paper cites International Conference on Machine Learning , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling International Conference on Machine Learning , pages=
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.829560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b625ef86-149b-4daf-ae8a-c8d39b287368 · outbound
This paper cites International Conference on Machine Learning , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling International Conference on Machine Learning , pages=
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.833073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fdef7d27-26dc-4190-805a-b8e06ae498a4 · outbound
This paper cites Advances in neural information processing systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in neural information processing systems , volume=
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.850567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 46ba9835-fd0e-44b8-bfef-273bb73c14bb · outbound
This paper cites Eleventh International Conference on Learning Representations , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Eleventh International Conference on Learning Representations , year=
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.843999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 64a90865-cecb-4107-87a8-165728370e95 · outbound
This paper cites Bartoldson and Bhavya Kailkhura and Atul Prakash , booktitle=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Bartoldson and Bhavya Kailkhura and Atul Prakash , booktitle=
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.853274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 71d52ce2-7ccb-427d-810f-1a71346eb7f5 · outbound
This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.804439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ecf77e62-0e05-4917-87b8-df54809f9916 · outbound
This paper cites International Conference on Learning Representations , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling International Conference on Learning Representations , year=
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.801444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e0601b79-0d25-4409-880e-b1261462d1c7 · outbound
This paper cites Advances in neural information processing systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in neural information processing systems , volume=
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.798136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 499a6883-780d-4595-8bc4-fa1f461ba0f2 · outbound
This paper cites Exploring the Limits of Deep Image Clustering using Pretrained Models.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Exploring the Limits of Deep Image Clustering using Pretrained Models
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:25:23.257039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 11621bc0-6bff-4707-b54f-6f209a5780a0 · outbound
This paper cites Transactions on Machine Learning Research , issn=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Transactions on Machine Learning Research , issn=
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.807833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f8b028b0-7f42-4f30-a8ba-1ce201b9cfce · outbound
This paper cites 2026 , url=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling 2026 , url=
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.810819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b72e6763-681f-4bb9-9e52-ad3c5c09c290 · outbound
This paper cites an unresolved cited work.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T11:50:46.816899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 764de65b-7edb-4a93-ab92-5340144e79cd · outbound
This paper cites Advances in neural information processing systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in neural information processing systems , volume=
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.788546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 83c4931d-50a4-4519-b30d-133ef9504bc5 · outbound
This paper cites International Conference on Learning Representations , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling International Conference on Learning Representations , year=
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.791564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ca8eaff5-7a43-4c9d-ab4e-838438f31631 · outbound
This paper cites International Conference on Machine Learning , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling International Conference on Machine Learning , pages=
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.846960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ac83caca-b641-4bbd-a5ba-575fc66cfed1 · outbound
This paper cites The Twelfth International Conference on Learning Representations , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling The Twelfth International Conference on Learning Representations , year=
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.779967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 402b6c21-dc78-41b6-987f-3583ad12f268 · outbound
This paper cites The Thirteenth International Conference on Learning Representations , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling The Thirteenth International Conference on Learning Representations , year=
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.782757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 73564730-9211-4da0-b853-7fd42d35b21b · outbound
This paper cites The Twelfth International Conference on Learning Representations , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling The Twelfth International Conference on Learning Representations , year=
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.785509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f129b077-6c59-445f-93d8-8022a95a7b53 · outbound
This paper cites Workshop on challenges in representation learning, ICML , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Workshop on challenges in representation learning, ICML , volume=
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.794290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7960e13a-b84f-4243-8e8a-3a96d0d11f40 · outbound
This paper cites Advances in neural information processing systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in neural information processing systems , volume=
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.813905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cab00001-80e2-44a4-9f14-ff7c1d5f93a7 · outbound
This paper cites Advances in neural information processing systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in neural information processing systems , volume=
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.819871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3d4ab60d-b45f-4eac-b040-ec05905a6ab3 · outbound
This paper cites Advances in neural information processing systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in neural information processing systems , volume=
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.767805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 36d8ec5a-8a8a-4444-85b4-8255aa2f8cb6 · outbound
This paper cites The Eleventh International Conference on Learning Representations , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling The Eleventh International Conference on Learning Representations , year=
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.773925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c3fab435-f56d-441c-af38-2e4fa865ac1d · outbound
This paper cites an unresolved cited work.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T11:50:46.859349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation db3dccad-ac9e-4343-8a70-7ec2556d5b37 · outbound
This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.729204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 816e8c0b-f71e-4930-bed3-7249d16ac429 · outbound
This paper cites International conference on machine learning , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling International conference on machine learning , pages=
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.732972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3d4c1593-aa53-43f2-9040-e38aaf25eb50 · outbound
This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.745986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6d98365d-1f1b-40d8-ab4b-6e7b753b1e49 · outbound
This paper cites International Conference on Machine Learning , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling International Conference on Machine Learning , pages=
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.776742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d5068fdd-1eda-4923-8dd8-c7f6688b4326 · outbound
This paper cites Proceedings of the European conference on computer vision (ECCV) , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Proceedings of the European conference on computer vision (ECCV) , pages=
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.823298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 10245742-a782-47a3-9bc3-290ff44444b6 · outbound
This paper cites Advances in neural information processing systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in neural information processing systems , volume=
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.862404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 76237bb7-5607-4834-9f19-023bed64413f · outbound
This paper cites Advances in neural information processing systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in neural information processing systems , volume=
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.865708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ca6d0909-2d9f-4fa8-8c28-e16dccb4aded · outbound
This paper cites International Conference on Learning Representations , year=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling International Conference on Learning Representations , year=
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.761592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9c3710d1-2299-478f-855b-42972ae67100 · outbound
This paper cites European conference on computer vision , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling European conference on computer vision , pages=
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.764419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 43fb4f90-bfad-457c-8763-bf47b5d06a26 · outbound
This paper cites Advances in neural information processing systems , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Advances in neural information processing systems , volume=
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.856363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b7f69828-fe47-4ee6-bab8-93509eeea194 · outbound
This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Proceedings of the IEEE/CVF international conference on computer vision , pages=
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.749386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 963ad27e-988a-4e50-a3a2-532f529bbca3 · outbound
This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Proceedings of the AAAI conference on artificial intelligence , volume=
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.751973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation de8af512-2974-4bf0-a106-a9fb6dd0aaa6 · outbound
This paper cites International conference on machine learning , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling International conference on machine learning , pages=
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.758313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation daf2354a-680c-4c3e-bda1-c1d1cbd7e5f2 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling DINOv2: Learning Robust Visual Features without Supervision
Reference 60
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T05:25:23.265428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 283d6175-f4ae-4928-8eaa-1b4ed7f4863e · outbound
This paper cites European conference on computer vision , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling European conference on computer vision , pages=
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.739532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0a57dc36-d0f7-4439-aba5-96d726f9ae81 · outbound
This paper cites 2010 IEEE computer society conference on computer vision and pattern recognition , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling 2010 IEEE computer society conference on computer vision and pattern recognition , pages=
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.736218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fa22d007-77aa-4b32-84a6-f9fa7e31ab7d · outbound
This paper cites 2004 conference on computer vision and pattern recognition workshop , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling 2004 conference on computer vision and pattern recognition workshop , pages=
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.742452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0fb04b15-b6d1-495e-a8c4-17d62c0cc333 · outbound
This paper cites 2009 , url =.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling 2009 , url =
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.754586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 85e13023-6b30-4663-b67b-b65c2350f208 · outbound
This paper cites 2009 IEEE conference on computer vision and pattern recognition , pages=.
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling 2009 IEEE conference on computer vision and pattern recognition , pages=
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T11:50:46.771279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.