Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:42.341713Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2506.06985.
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 2026-08-07T06:00:42.341713Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-08T21:30:38.122700Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
38 of 38 outbound references displayed
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Observation 9aaa00c7-bb40-4cd1-b797-bfe0505eb09d · outbound
Certified Unlearning for Neural Networks write newline
Reference 1
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Observation 281fbadb-7a3d-410d-a624-ab6329e0936b · outbound
Certified Unlearning for Neural Networks B., Mironov, I., Talwar, K., and Zhang, L
Reference 2
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Observation 70cdfb80-3662-4d7f-b07f-7ece8a8f1efc · outbound
Certified Unlearning for Neural Networks The utility and complexity of in- and out-of-distribution machine unlearning
Reference 3
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Observation 336fb31b-65b4-4fe5-a5a2-60cc0bbe4f85 · outbound
Certified Unlearning for Neural Networks Contraction of E _ -divergence and its applications to privacy
Reference 4
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Observation 6cf01538-b1c4-4663-942e-6f80e14b5325 · outbound
Certified Unlearning for Neural Networks Privacy amplification by mixing and diffusion mechanisms
Reference 5
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Observation 18223e18-880e-4cba-ba49-7fac8fd2d98e · outbound
Certified Unlearning for Neural Networks Hypothesis testing interpretations and renyi differential privacy
Reference 6
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Certified Unlearning for Neural Networks A., Jia, H., Travers, A., Zhang, B., Lie, D., and Papernot, N
Reference 7
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Observation 7877f652-9301-4570-b4b9-f52616e1ce7b · outbound
Certified Unlearning for Neural Networks and Yang, J
Reference 8
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Certified Unlearning for Neural Networks Certified Graph Unlearning
Reference 9
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Observation b85ccb0b-c06d-49ee-b481-b172a7fdf42a · outbound
Certified Unlearning for Neural Networks P., Chen, Z., and Li, P
Reference 10
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Observation 66146e77-c4d8-4b64-851f-5268baaad99f · outbound
Certified Unlearning for Neural Networks and Shah, N
Reference 11
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Observation 5f4ae654-a8b6-451f-9d08-52f6e651976b · outbound
Certified Unlearning for Neural Networks Imagenet: A large-scale hierarchical image database
Reference 12
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Observation 5e8a1568-f614-4b0c-9f2f-dbb77bea441f · outbound
Certified Unlearning for Neural Networks The mnist database of handwritten digit images for machine learning research
Reference 13
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Observation 71614cef-2ca3-4933-85bc-3637ca5040d8 · outbound
Certified Unlearning for Neural Networks and Roth, A
Reference 14
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Observation bfa38018-9df5-4b21-973f-22a7c793d74b · outbound
Certified Unlearning for Neural Networks Who's Harry Potter? Approximate Unlearning in LLMs
Reference 15
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Observation ed6ac260-b878-43fd-888e-778058e71159 · outbound
Certified Unlearning for Neural Networks Privacy amplification by iteration
Reference 16
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Observation d52fcafc-a628-4607-8da8-1528bc60b92f · outbound
Certified Unlearning for Neural Networks Unresolved cited work
Reference 17
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Observation 149f3838-560f-4c6d-a7cd-ca7a8cbef85b · outbound
Certified Unlearning for Neural Networks Mixed-privacy forgetting in deep networks
Reference 18
Source-reported events for the cited work
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Observation 3b145d8b-eb03-4f51-888b-650a45b8fe60 · outbound
Certified Unlearning for Neural Networks An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Reference 19
Source-reported events for the cited work
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Observation 2a8b7e5b-c746-46ea-b512-48e3b3700b31 · outbound
Certified Unlearning for Neural Networks Amnesiac machine learning
Reference 20
Source-reported events for the cited work
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Observation b2041939-77a3-4850-b62c-db0409b76d9c · outbound
Certified Unlearning for Neural Networks Certified data removal from machine learning models
Reference 21
Source-reported events for the cited work
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Observation f6433c68-7173-4329-90e1-6dc020d0b49d · outbound
Certified Unlearning for Neural Networks Deep residual learning for image recognition
Reference 22
Source-reported events for the cited work
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Observation 3476ce6d-bae0-4dad-b98c-75dae414a276 · outbound
Certified Unlearning for Neural Networks The cifar-10 dataset
Reference 23
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Observation 5785039a-b5eb-4ca9-a9a6-712be5c81498 · outbound
Certified Unlearning for Neural Networks Towards unbounded machine unlearning
Reference 24
Source-reported events for the cited work
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Observation 5c372b7d-7151-43c9-a525-5f42716addd1 · outbound
Certified Unlearning for Neural Networks Certified minimax unlearning with generalization rates and deletion capacity
Reference 25
Source-reported events for the cited work
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Observation 5be0cd80-0b1d-4ffa-b66e-88c4344deaff · outbound
Certified Unlearning for Neural Networks Rethinking Machine Unlearning for Large Language Models
Reference 26
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Observation 2ce3c693-588a-4a21-a92b-78badf01e8f8 · outbound
Certified Unlearning for Neural Networks R \'e nyi differential privacy
Reference 27
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Observation 161f63ca-a32c-437f-97d7-b10bb31ccca8 · outbound
Certified Unlearning for Neural Networks and Klabjan, D
Reference 28
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Observation 21508dca-c5c2-4664-89fc-b92ed50a2f56 · outbound
Certified Unlearning for Neural Networks Descent-to-delete: Gradient-based methods for machine unlearning
Reference 29
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Observation 16045cde-a8a6-422b-87e1-6c40826da794 · outbound
Certified Unlearning for Neural Networks A Survey of Machine Unlearning
Reference 30
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Observation f7357525-afb2-41e9-bed5-59f6336c6bd2 · outbound
Certified Unlearning for Neural Networks Unresolved cited work
Reference 31
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Observation b798774a-2362-49c6-b75e-814073fa04de · outbound
Certified Unlearning for Neural Networks Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates
Reference 32
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Observation 87a75573-4589-49eb-9355-de2628239318 · outbound
Certified Unlearning for Neural Networks On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning
Reference 33
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Observation 5f0bcbd4-e957-46ae-bc37-e79705ba98c4 · outbound
Certified Unlearning for Neural Networks Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition
Reference 34
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Observation 70b71e29-2dac-4f37-847a-de7ee23bb4a2 · outbound
Certified Unlearning for Neural Networks The Complexity of Differential Privacy, pp.\ 347--450
Reference 35
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Observation 7daa6393-bad1-4341-a7e8-7e22902f9b95 · outbound
Certified Unlearning for Neural Networks and Harremos, P
Reference 36
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Certified Unlearning for Neural Networks and Von dem Bussche, A
Reference 37
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Observation fdcdbb54-e457-42fe-a444-acf796b37207 · outbound
Certified Unlearning for Neural Networks Towards certified unlearning for deep neural networks
Reference 38
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Observation f705f0ee-5cca-4c88-9af1-5081f441b685 · inbound
Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data Certified Unlearning for Neural Networks
Reference 28
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Observation 86cf1d17-a777-42ea-8a1d-3e6d21ba8b78 · inbound
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