Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-03T16:29:09.303242Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.02447.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-03T16:29:09.303242Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 218a9100-4cc1-4af5-9736-1168fd28cc16 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Proceedings of the 36th International Conference on Neural Information Processing Systems , pages=
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 10429905-f6d7-4e74-afc2-e5d625d0d354 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b7e7bb35-35de-45ec-818b-e286e6102337 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c090e2a6-16c5-4d5d-80bb-711a67d3d226 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data IEEE Transactions on Pattern Analysis and Machine Intelligence , year=
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation be44f6b0-aa53-41d1-81d2-99e4bfd7c747 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data IEEE transactions on knowledge and data engineering , volume=
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d6defa13-1493-499e-9025-74374d81d962 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data International Conference on Learning Representations , year=
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 20b0d59a-651c-4347-9871-16ffffa4a7de · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Advances in Neural Information Processing Systems , volume=
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f88eefa3-8062-496e-b9d3-296a73ee9621 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fc2d3a70-2f17-404e-af83-49b42413fec7 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Advances in Neural Information Processing Systems , volume=
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 61904a08-db51-4013-9061-5d0143b0fa1a · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e8c46c1f-1e78-4a72-b48f-a4716475f879 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Artificial intelligence and statistics , pages=
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e5d70473-9ffa-43eb-a1c9-bc6791f0539c · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) , pages=
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b5bcae62-4d01-480d-8eae-7101f9848c27 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data IEEE Transactions on Parallel and Distributed Systems , volume=
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 50acbb66-8251-46ad-b40b-a2ef9d2a10d4 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data 2024 , eprint=
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 49ccaf9d-05fc-4163-96a3-2098d5ea5f6f · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Neurocomputing , volume=
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 462d9e4e-c5a4-44f6-bc70-11abe1bd14ea · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b53d153a-b29d-41c7-afb4-3384c8b82587 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data International Conference on Learning Representations , year=
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 50d03d90-259d-4c7b-b146-81763b14a37c · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data International Conference on Machine Learning , pages=
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f5f5e2bc-a733-4324-b84f-3c75edb12b0e · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Proceedings of the IEEE/CVF international conference on computer vision , pages=
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a3eef3e3-4849-48e9-be30-0bb72b5056f9 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 710c7a57-dd36-4f1e-81f7-b727e58c8646 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data International Conference on Machine Learning , pages=
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4fd85f91-c0d2-472f-bdca-c9edcb1c588b · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 679246e9-fcd1-4269-b27f-c258fd2a3bb5 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data BEiT: BERT Pre-Training of Image Transformers
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 42823ef4-528c-4736-94fe-a0da930822a5 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data iBOT: Image BERT Pre-Training with Online Tokenizer
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 52c2bc8c-3789-4e73-8df9-c84bd89f6a4b · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 60d9f874-0456-47a2-8ba5-a0d59f0aff53 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data A Mutual Information Maximization Perspective of Language Representation Learning
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1eabdd21-3b58-4926-bfe8-87b3855075f4 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Acm computing surveys (csur) , volume=
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6186e40c-3db1-4f90-b2d8-7fcf672c9efe · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Knowledge-Based Systems , volume=
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e9dc9370-3b5a-4de4-9f64-40917a5a9b76 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data IEEE Communications Surveys & Tutorials , year=
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 04d1b0e3-2ddb-4e06-9484-ed1cd621b057 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Journal of Parallel and Distributed Computing , volume=
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ea526621-eaac-4fa6-bb38-bf1f7709beae · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Advances in neural information processing systems , volume=
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a67407d3-7cdb-44c5-bd23-ade6f29c2242 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data 2009 IEEE conference on computer vision and pattern recognition , pages=
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bdc8f842-729d-4e99-ac08-0538e9d95c39 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 67bf40c9-7631-47ff-a8a9-189e073ffaab · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data 2009 , publisher=
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 74b35329-db22-4e6c-bd0d-20d744f0589d · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Unresolved cited work
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c5e6e5c7-593f-4e56-b9d0-11e76537791c · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d5f0badd-2fcb-47ec-8b67-e8718a9586fa · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data International Conference on Learning Representations , year=
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d89220b8-f7bb-497f-8692-8fb167d20de5 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Advances in neural information processing systems , volume=
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1d93f029-1ceb-41cd-ba84-70b946b28452 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Advances in neural information processing systems , volume=
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 89f08d23-599f-4bd8-80b1-dc525581ad34 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Psychometrika , volume=
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a6712545-d35c-45be-8922-ed323761a473 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data 2018 , publisher=
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 010502c4-e49a-4aff-b159-c825753da7b7 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b63be931-7026-4163-bf9c-fb7de8604bc2 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data The Journal of Machine Learning Research , volume=
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c85c361a-f45c-4a2a-a825-c29b3e155e07 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Advances in neural information processing systems , volume=
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1fd64833-477c-448f-b2af-1f845d2a10ac · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data International conference on machine learning , pages=
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f767b629-be8a-483a-b893-e6295ac1f800 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Expert Systems with Applications , volume=
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9c6d0802-ca48-485d-8b17-c3dcf328a5b7 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Advances in Neural Information Processing Systems , volume=
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4a039ba9-c0b2-4d49-b34b-1bb851117608 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data International Conference on Parallel and Distributed Computing: Applications and Technologies , pages=
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4b1a8896-e06b-432d-b3e8-3fa137dabe6e · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 71b973eb-36e3-44ff-bc5a-404473641162 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a94b8020-b8ba-44dc-98d0-02a5a712f8e7 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Learning Differentially Private Recurrent Language Models
Reference 51
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5327338f-a5da-402d-a8ee-fe788347af57 · outbound
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data IEEE transactions on information forensics and security , volume=
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
No inbound Pith citation observations are available.