Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:00:43.200520Z
Paper Citation Record · LEDGER
Online Learning and Unlearning
As of 17 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2505.08557.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-09T20:24:59.721421Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T15:16:08.326759Z
Reference resolution
32 of 32 outbound references displayed
- verified exact0
- verified fuzzy28
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f965bb14-20e6-43c4-b4ef-96674b8abbd8 · outbound
This paper cites Membership inference attacks against machine learning models.
Online Learning and Unlearning Membership inference attacks against machine learning models
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.809406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2f9e60a1-b996-4da8-b5fc-a44e2982a72d · outbound
This paper cites Reconstructing traini ng data from model gradient, provably.
Online Learning and Unlearning Reconstructing traini ng data from model gradient, provably
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.795314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fdb8780e-f03c-41eb-b78f-dc1880e05826 · outbound
This paper cites Corrective machine unlearning.
Online Learning and Unlearning Corrective machine unlearning
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.775815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation eeb8f3f2-a3d7-42fc-a195-9afbb2d31749 · outbound
This paper cites Des cent-to-delete: Gradient-based methods for ma- chine unlearning.
Online Learning and Unlearning Des cent-to-delete: Gradient-based methods for ma- chine unlearning
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.755614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4d26d671-28c7-4d87-81a2-f7c98be1d66e · outbound
This paper cites Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot.
Online Learning and Unlearning Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.738650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7a5db523-a0d3-40e9-a76b-d09161170a8b · outbound
This paper cites Remember what you want to forget: algorithms for machine unlearning.
Online Learning and Unlearning Remember what you want to forget: algorithms for machine unlearning
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.725572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6e12a855-4c9a-4681-8e48-c2df6b9b3ef2 · outbound
This paper cites Rewind-to-delete: Certifie d machine unlearning for nonconvex functions.
Online Learning and Unlearning Rewind-to-delete: Certifie d machine unlearning for nonconvex functions
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:00:43.099738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84220bbb-0cfc-4dd6-a0ba-f3fef55ac619 · outbound
This paper cites Algor ithms that approximate data removal: New results and limitations.
Online Learning and Unlearning Algor ithms that approximate data removal: New results and limitations
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.712513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cc7872d6-49be-4643-87d0-425fa4d48221 · outbound
This paper cites Control, confidentiality, and the right to be forgotten.
Online Learning and Unlearning Control, confidentiality, and the right to be forgotten
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.698458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6db6cb89-adc8-420c-ba42-c6dc1fe2bf0f · outbound
This paper cites Introduction to Online Convex Optimization.
Online Learning and Unlearning Introduction to Online Convex Optimization
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:00:43.112037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a7242ce-0719-4326-8e37-08717824dfc8 · outbound
This paper cites Online Learning: A Modern Introduction Using Convex Optimization.
Online Learning and Unlearning Online Learning: A Modern Introduction Using Convex Optimization
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:00:43.116221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f8114e3-648a-49c7-993f-ad344f97843f · outbound
This paper cites Certified data removal from machine learning models.
Online Learning and Unlearning Certified data removal from machine learning models
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.683805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 40c6f4e0-f5cc-41bc-aec3-2b98d5520c2c · outbound
This paper cites Cert ified machine unlearning via noisy stochastic gradient descent.
Online Learning and Unlearning Cert ified machine unlearning via noisy stochastic gradient descent
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.669545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 87e30934-8c11-47c0-82ee-a9d9c95016af · outbound
This paper cites Differential privacy.
Online Learning and Unlearning Differential privacy
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.652754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fd90515d-10d1-4db9-854a-17426c22b400 · outbound
This paper cites Counting distinct elements in the turnstile model with differential privacy u nder continual observation.
Online Learning and Unlearning Counting distinct elements in the turnstile model with differential privacy u nder continual observation
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.638631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 099260f8-340e-47d6-bd8b-49e46768e5bf · outbound
This paper cites Online convex programming and gener alized infinitesimal gradient ascent.
Online Learning and Unlearning Online convex programming and gener alized infinitesimal gradient ascent
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.616838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 28ef3035-736e-4e72-a816-979fc535656d · outbound
This paper cites Dynamic regret of convex and smooth functions.
Online Learning and Unlearning Dynamic regret of convex and smooth functions
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.601988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7960c4f4-fff8-44f2-9741-ed8dd4c36ebc · outbound
This paper cites (Nearly) optim al algorithms for private online learning in full-information and bandit settings.
Online Learning and Unlearning (Nearly) optim al algorithms for private online learning in full-information and bandit settings
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.583642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8933d302-3875-41b2-bf22-04831a09178f · outbound
This paper cites Differentially private online learning.
Online Learning and Unlearning Differentially private online learning
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.566865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9e671a12-f53b-458a-9cfc-ed925ff28693 · outbound
This paper cites Privacy Amplification by Iteration.
Online Learning and Unlearning Privacy Amplification by Iteration
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.550547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5d780770-17f9-44e2-9f23-483f6d9c9632 · outbound
This paper cites Privacy of noisy sto chastic gradient descent: More iterations without more privacy loss.
Online Learning and Unlearning Privacy of noisy sto chastic gradient descent: More iterations without more privacy loss
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.535896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2989ff60-76f7-40a8-bdcb-e9b514517804 · outbound
This paper cites Resolving the mixin g time of the langevin algorithm to its stationary distribution for log-concave sampling.
Online Learning and Unlearning Resolving the mixin g time of the langevin algorithm to its stationary distribution for log-concave sampling
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.519106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1f101f95-5d8e-411b-9bd7-e6856fde5b40 · outbound
This paper cites Train faster , generalize better: Stability of stochastic gradient descent.
Online Learning and Unlearning Train faster , generalize better: Stability of stochastic gradient descent
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.506032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d3531e70-7df1-42ed-98a8-a15235753afe · outbound
This paper cites On the gene ralization ability of online gradient descent algorithm under the quadratic growth condition.
Online Learning and Unlearning On the gene ralization ability of online gradient descent algorithm under the quadratic growth condition
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.491198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a8020b5b-6320-417d-afbb-7e9d22aee34c · outbound
This paper cites Logarithmi c regret algorithms for online convex optimization.
Online Learning and Unlearning Logarithmi c regret algorithms for online convex optimization
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.476778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 93004344-ac58-48bb-9e65-de260d7e7528 · outbound
This paper cites Adaptive subgradient methods for online learning and stochastic optimization.
Online Learning and Unlearning Adaptive subgradient methods for online learning and stochastic optimization
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.460829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6b2b718a-47a5-4ed8-90f4-a84d87ab8737 · outbound
This paper cites Optimistic Rates for Learning with a Smooth Loss.
Online Learning and Unlearning Optimistic Rates for Learning with a Smooth Loss
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:00:43.178901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2303a9a2-48a8-4108-b8d4-8e42367389ec · outbound
This paper cites Ticketed learning-unlearning schemes.
Online Learning and Unlearning Ticketed learning-unlearning schemes
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.443842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 04ce3368-d690-4346-aa8b-1c3863187d2a · outbound
This paper cites Rényi differential privacy.
Online Learning and Unlearning Rényi differential privacy
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.424594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a6d37f5b-9ff5-4333-bc91-14249bf72bd3 · outbound
This paper cites Ele522: Lecutre notes for gradient methods (unconstrained), 2020.
Online Learning and Unlearning Ele522: Lecutre notes for gradient methods (unconstrained), 2020
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.406942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 949027e4-639e-4776-a98e-8c8c7b76c577 · outbound
This paper cites Lemma C (Shift-reduction lemma [20]).
Online Learning and Unlearning Lemma C (Shift-reduction lemma [20])
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.389897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1e6102bb-eb74-4f90-869f-08a8ab21a405 · outbound
This paper cites The unlearning auxiliary function Uaux(ψj(z), Sτ [j], SU j ) performs these two phases: I1 GD steps on Sτ [j] (viaF0) and I2 GD steps on Sτ [j] \ S U j (viaF1).
Online Learning and Unlearning The unlearning auxiliary function Uaux(ψj(z), Sτ [j], SU j ) performs these two phases: I1 GD steps on Sτ [j] (viaF0) and I2 GD steps on Sτ [j] \ S U j (viaF1)
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:00:43.373820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
Observation b00b54c2-ad7c-463a-ad9e-a94e93625a64 · inbound
Unlearning Offline Stochastic Multi-Armed Bandits cites this paper.
Unlearning Offline Stochastic Multi-Armed Bandits Online Learning and Unlearning
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:16:08.340890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.