Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T14:51:57.746071Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2606.21593.
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 2026-06-26T14:51:57.746071Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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
60 of 60 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 073252d2-c450-4b4d-b220-50c18f0061d3 · outbound
Geometric and Information Compression of Representations in Deep Learning IEEE transactions on pattern analysis and machine intelligence40(12), 2897–2905 (2018)
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Observation 659b2469-67c5-4e1a-97b4-921f8f2032ce · outbound
Geometric and Information Compression of Representations in Deep Learning In: The Eleventh International Conference on Learning Representations (2023)
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Observation f322fe2c-e99c-46f1-98f2-108a679337f1 · outbound
Geometric and Information Compression of Representations in Deep Learning Advances in Neural Information Processing Systems35, 17626–17638 (2022)
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Observation 58194470-3169-4f62-9c58-3acd5b251f44 · outbound
Geometric and Information Compression of Representations in Deep Learning In: International Conference on Learning Representations (2017)
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Observation 597fcd1a-6da0-45ad-b556-1fc011acc389 · outbound
Geometric and Information Compression of Representations in Deep Learning IEEE Transactions on Pattern Analysis and Machine Intelligence42(9), 2225–2239 (2019)
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Observation 57a5683a-3dd9-4231-b78e-3bcd06d63f65 · outbound
Geometric and Information Compression of Representations in Deep Learning In: International Conference on Learning Representations (2018)
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Observation 79cab2f9-7688-435d-ac40-cc8a1e08d33b · outbound
Geometric and Information Compression of Representations in Deep Learning Advances in Neural Information Processing Systems31(2018)
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Observation a9b69883-45c1-411a-b114-30c2acf6f326 · outbound
Geometric and Information Compression of Representations in Deep Learning In: Advances in Neural Information Processing Systems
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Geometric and Information Compression of Representations in Deep Learning In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
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Observation a5750752-5d61-4959-b73a-eadf5653c225 · outbound
Geometric and Information Compression of Representations in Deep Learning In: International Conference on Machine Learning
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Observation 4d7b7a44-226f-4d37-924f-cb409ecfb1cb · outbound
Geometric and Information Compression of Representations in Deep Learning In: International conference on machine learning
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Observation 1e574793-8501-449b-8132-ca881fc26764 · outbound
Geometric and Information Compression of Representations in Deep Learning Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
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Observation 5e409368-f8a4-4412-be50-e3dd082baf45 · outbound
Geometric and Information Compression of Representations in Deep Learning In: Proc
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Observation 3d15785c-c7d5-4483-afaf-f700de70e910 · outbound
Geometric and Information Compression of Representations in Deep Learning Entropy22(9), 999 (2020)
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Observation b249c31a-228e-461f-879e-6338a09c1863 · outbound
Geometric and Information Compression of Representations in Deep Learning In: International Conference on Learning Representations (2021)
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Observation 541bc7f3-962d-4323-80a3-b4d456ab73e3 · outbound
Geometric and Information Compression of Representations in Deep Learning In: International conference on machine learning
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Observation 6097b183-1c9d-4caf-b149-c7f0e3ce356f · outbound
Geometric and Information Compression of Representations in Deep Learning Entropy22(11), 1229 (Nov 2020), open-access
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Observation 25e5f661-70ed-4d9e-b069-d4008dbb5a36 · outbound
Geometric and Information Compression of Representations in Deep Learning IEEE Transactions on Neural Networks and Learning Systems33(12), 7039–7051 (Dec 2022)
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Observation 25ff457a-3bdc-4254-b713-10cb772e6476 · outbound
Geometric and Information Compression of Representations in Deep Learning Journal of Machine Learning Research3(Mar), 1307–1331 (2003)
Reference 20
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Observation f38a27d1-220f-401a-b624-630e5b5729ce · outbound
Geometric and Information Compression of Representations in Deep Learning In: International Conference on Machine Learning (2019)
Reference 21
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Observation d08bb303-385e-44c1-9bfa-b952f7cba8fb · outbound
Geometric and Information Compression of Representations in Deep Learning Advances in neural information processing systems30(2017)
Reference 22
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Observation e491b630-bbd6-4c1c-b0a7-b59c92d06fea · outbound
Geometric and Information Compression of Representations in Deep Learning In: Advances in Neural Information Processing Systems (2025)
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Observation bd7b0ab8-913d-4c4d-a840-7b2789a418fd · outbound
Geometric and Information Compression of Representations in Deep Learning In: Proceedings of the IEEE conference on computer vision and pattern recognition
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Observation 8cb5f13c-5584-46b1-a13f-25f5a936f471 · outbound
Geometric and Information Compression of Representations in Deep Learning In: Proceedings of the IEEE conference on computer vision and pattern recognition
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Observation 87672fe5-6f7a-417e-a932-61938878319b · outbound
Geometric and Information Compression of Representations in Deep Learning In: International Conference on Learning Representations (2019)
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Observation 8dea3f32-f4f0-4e12-9ebe-0c58241871b7 · outbound
Geometric and Information Compression of Representations in Deep Learning In: Interna- tional Conference on Learning Representations (2016)
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Observation b808c57b-2593-4c95-b121-c24c9e5b7a88 · outbound
Geometric and Information Compression of Representations in Deep Learning In: International Conference on Learning Representations (2019)
Reference 28
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Observation 0d7461e0-1a5e-418e-a2db-e7aed98f6557 · outbound
Geometric and Information Compression of Representations in Deep Learning Birkhäuser Boston, MA (2012)
Reference 29
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Observation f84383d3-2d63-44b8-82da-a13e147c2038 · outbound
Geometric and Information Compression of Representations in Deep Learning Proceedings of the IEEE86(11), 2278–2324 (1998)
Reference 30
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Observation f252b3f7-105b-4b94-a516-54e032b9a089 · outbound
Geometric and Information Compression of Representations in Deep Learning In: The 22nd international conference on artificial intelligence and statistics
Reference 31
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Observation bceaa142-c036-47ff-ac6e-f12163f2f581 · outbound
Geometric and Information Compression of Representations in Deep Learning In: Pro- ceedings of the 2022 SIAM International Conference on Data Mining (SDM)
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Observation ca594822-028f-4963-8ca1-7e71b3907d7a · outbound
Geometric and Information Compression of Representations in Deep Learning In: International Conference on Artificial Intelligence and Statistics
Reference 33
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Observation e9a18eb4-3e14-4437-952f-f99eb3b2e8b2 · outbound
Geometric and Information Compression of Representations in Deep Learning In: Advances in Neural Information Processing Systems
Reference 34
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Observation a1b24e83-5547-42f9-ad85-a647bfd194a9 · outbound
Geometric and Information Compression of Representations in Deep Learning Representation Learning with Contrastive Predictive Coding
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Observation 15796831-aaf0-4324-bdae-8a44537550b6 · outbound
Geometric and Information Compression of Representations in Deep Learning Proceedings of the National Academy of Sciences117(40), 24652–24663 (2020)
Reference 36
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Observation 8f9f968b-ece0-48c3-ae32-3538e98b4fc5 · outbound
Geometric and Information Compression of Representations in Deep Learning In: ICLR 2026 Workshop on Geometry-grounded Representation Learning and Generative Modeling (2026)
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Observation eafc1f3e-fe70-49bb-8475-d2cecd6d36ca · outbound
Geometric and Information Compression of Representations in Deep Learning In: Workshop on Machine Learning and Compression @ NeurIPS (2024)
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Observation da6ba62d-87c9-4ce3-8b73-79689a558f94 · outbound
Geometric and Information Compression of Representations in Deep Learning Advances in neural information processing systems34, 18420–18432 (2021)
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Observation b92708da-b677-4399-b031-949044eacfdd · outbound
Geometric and Information Compression of Representations in Deep Learning Multi-Task Variational Information Bottleneck
Reference 40
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Observation d3bf00ac-b829-4514-a6e6-ebd7f171de7b · outbound
Geometric and Information Compression of Representations in Deep Learning IEEE Transactions on Information Forensics and Security18, 2060–2075 (2023)
Reference 41
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Observation cad7828d-9d7d-4aa1-8ebb-7c83aa72c0a2 · outbound
Geometric and Information Compression of Representations in Deep Learning Unresolved cited work
Reference 42
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Observation e6723ad4-55f4-4fa8-b51b-5b132c3e3a83 · outbound
Geometric and Information Compression of Representations in Deep Learning Explaining grokking and information bottleneck through neural collapse emergence
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Observation 1e4380c6-595c-4258-9db4-45205ec7d24b · outbound
Geometric and Information Compression of Representations in Deep Learning In: Proc
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Observation 4dba9d47-b01c-47dc-a1c8-7ef3157a0c84 · outbound
Geometric and Information Compression of Representations in Deep Learning Opening the Black Box of Deep Neural Networks via Information
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Observation aaf0474e-fdee-4bd7-9ab0-3dd302e76376 · outbound
Geometric and Information Compression of Representations in Deep Learning Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 46
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Observation 00f37a4d-1a5b-4c91-aaa1-989c48156bca · outbound
Geometric and Information Compression of Representations in Deep Learning In: Workshop on Machine Learning and Compression @ NeurIPS (2024)
Reference 47
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Observation 09104f34-ed42-444f-a6a2-16497e7f2f59 · outbound
Geometric and Information Compression of Representations in Deep Learning The journal of machine learning research15(1), 1929–1958 (2014)
Reference 48
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Observation ca8b2d3f-9ec1-4b31-b6cc-096821f93aea · outbound
Geometric and Information Compression of Representations in Deep Learning Well-Read Students Learn Better: On the Importance of Pre-training Compact Models
Reference 49
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Observation 0cbe8106-09a0-4dcc-8d8c-2c91e19d2bb5 · outbound
Geometric and Information Compression of Representations in Deep Learning Differential and Combinatorial Topology, Princeton Univ Press pp
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Observation a0957e28-6d3e-496f-8634-624727577867 · outbound
Geometric and Information Compression of Representations in Deep Learning In: British Machine Vision Conference 2016
Reference 51
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Observation 0235bf0a-2624-45e5-931c-42b260013c72 · outbound
Geometric and Information Compression of Representations in Deep Learning Unresolved cited work
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Observation 6bc5f2b1-bcb7-452a-afe3-6a3a32f47aa2 · outbound
Geometric and Information Compression of Representations in Deep Learning Unresolved cited work
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Observation 57c8c2f5-8dc2-43b7-82b2-ab39d3d6c866 · outbound
Geometric and Information Compression of Representations in Deep Learning Unresolved cited work
Reference 54
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Observation cb29942c-9f4a-40b9-9436-37e13fcc9961 · outbound
Geometric and Information Compression of Representations in Deep Learning Unresolved cited work
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Observation a1d9d5c8-017b-44e5-8831-93ccaee714c5 · outbound
Geometric and Information Compression of Representations in Deep Learning Unresolved cited work
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Observation ec89022a-2d6e-47ca-b0d2-571ca7ca3c26 · outbound
Geometric and Information Compression of Representations in Deep Learning Unresolved cited work
Reference 57
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Observation 99775cc2-c1df-464e-9e27-4da051d28fea · outbound
Geometric and Information Compression of Representations in Deep Learning logistic
Reference 58
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Observation 30189890-6a3f-4359-9daf-177f5da81e7a · outbound
Geometric and Information Compression of Representations in Deep Learning 1(a)), which indicates that noise causes class-specific distributions to overlap
Reference 59
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Observation ff1c9c8f-a310-463e-9a11-bace0f0e8eb4 · outbound
Geometric and Information Compression of Representations in Deep Learning 1(a)), which indicates that samples from the same class are mapped closely in latent space, at least via the deterministic part ofµ(x)of the encoder
Reference 60
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No inbound Pith citation observations are available.