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Paper Citation Record · LEDGER

Online Learning and Unlearning

As of 16 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.

pith.paper-citation-record.v1
2505.08557 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:00:43.200520Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T20:24:59.721421Z

measured 0 of 1 external citation measurements

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:00:43.090434Z digest=sha256:ba41f4ce832091f826504c9e78f935a36b558d595c85dbe075c156a23c8217ab

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:00:43.099738Z digest=sha256:278aba86d72179ef041b6583a1ea82b099404ba6e5238bc747ca35972cfcf085

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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no resolver link, observed 2026-08-15T22:00:43.112037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 87e30934-8c11-47c0-82ee-a9d9c95016af · outbound

This paper cites Differential privacy.

Online Learning and Unlearning Differential privacy

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:00:43.143736Z digest=sha256:43cde03674a2245f6c12469c7c4ff4f83e83a747d1047de60b854f5ec3819045

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:00:43.147553Z digest=sha256:2902961a4048c62d61adf1c8719cf6f9520dbc69d2ba94839107ec79cbfd5425

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:00:43.167279Z digest=sha256:38859a6471397a4bd7655b93ff38fd73e61205054ad915a56e220beb26813a83

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:00:43.171320Z digest=sha256:f4f2b0b4b4908770ebca0abad6ed09c4bb15203c0acd820cde115d9cf185c68f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:00:43.175070Z digest=sha256:67e9de9ea2015835a539b4e2c38206d800de8a58521eab4178a0d6861605ddc2

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.

source=pdf_text observed=2026-08-15T22:00:43.178901Z digest=sha256:ac67947ddc88242ab3530ef384743748684120745b5820a37906c44168a5de9d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:00:43.183416Z digest=sha256:1cf850100fa0518df1e83313682b8396409479bde8cb0c1b525e4978ba37da30

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:00:43.187808Z digest=sha256:470a53a8bee2ce629a27ceb4c92827bdfe4b10e19434582aff75518080627b32

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:00:43.191600Z digest=sha256:c61c1ccd348ab9149dd03f645c141f56d8ec261bd4d1f2c9b65169bb152bc4df

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:00:43.195731Z digest=sha256:5cf75337d818b4dab5928fab4d22855738e9217cbe97ad6fcec3e6b73e54401e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:00:43.200520Z digest=sha256:86e397c7b5f9a52d85f91064587ac9ddc6407db50ee5f0462cd6203b5054254b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-09T20:24:59.721421Z digest=sha256:68d84a2a22d2721975843eb8e498e4cdbd42401a7e2e4c08167f2885707c6cb8