Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:26:34.714945Z
Paper Citation Record · LEDGER
How to Protect Models against Adversarial Unlearning?
As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.10886.
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 2026-08-20T06:33:59.587034+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
Reference resolution
44 of 44 outbound references displayed
- verified exact3
- verified fuzzy11
- unresolved27
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 756d2d76-bb08-4223-9953-94a61164a52d · outbound
This paper cites Agarwal, B.
How to Protect Models against Adversarial Unlearning? Agarwal, B
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:26:39.628835Z
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 a8bf19fc-b553-4c30-84f8-cb0be608e547 · outbound
This paper cites Bourtoule, V.
How to Protect Models against Adversarial Unlearning? Bourtoule, V
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:26:39.465297Z
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 9046a614-d4b2-4dca-900a-9ef34e93f518 · outbound
This paper cites California consumer privacy act of 2018, 2018.
How to Protect Models against Adversarial Unlearning? California consumer privacy act of 2018, 2018
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:26:39.314998Z
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 5b01c2f2-7a30-4e98-88e5-cdc990ac16f6 · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:26:39.141765Z
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 ba573fc0-b7e9-470d-bf2d-6fd4f059aead · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:26:39.008567Z
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 734605be-0311-424b-b9ee-2efa4d1fe7b7 · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:26:38.817925Z
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 649e5510-0196-4708-9fd9-3db8ffa2670b · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:26:38.665089Z
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 2054bd6c-c616-4e7d-b738-f1a9a25898fd · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 8
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-06T17:26:35.951159Z
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 f9c3d4cf-40cb-427d-8eb5-0a4e2f2b7939 · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 9
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-06T17:26:35.713438Z
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 8ec0ff01-0d6e-460c-8cff-3b0560e2b86b · outbound
This paper cites Council regulation (EU) no 269/2014, 2014.
How to Protect Models against Adversarial Unlearning? Council regulation (EU) no 269/2014, 2014
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:26:38.500393Z
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 f043450c-4102-4dd5-9ea0-bd3930e6cc83 · outbound
This paper cites Dhasade, Y.
How to Protect Models against Adversarial Unlearning? Dhasade, Y
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:26:38.327590Z
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 13a6321d-50a0-46ce-b604-8c4d8e60ed71 · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:26:38.199394Z
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 6e89cea7-69ce-4676-a0fd-c0fcf50943f3 · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:26:38.066434Z
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 8a3ad234-82b1-4666-8ff7-83dc3769109b · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:26:37.871551Z
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 758860f6-8a64-42a6-a0f8-cbbb8d692b6f · outbound
This paper cites Golatkar, A.
How to Protect Models against Adversarial Unlearning? Golatkar, A
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:32.070136Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3cbaff1-533c-4e07-8fd4-fef7d6ae0f1f · outbound
This paper cites Golatkar, A.
How to Protect Models against Adversarial Unlearning? Golatkar, A
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:26:37.682679Z
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 6ad2aaa9-7c24-4e51-9ce0-e7eb3e4a954a · outbound
This paper cites Golatkar, A.
How to Protect Models against Adversarial Unlearning? Golatkar, A
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:26:37.560989Z
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 dd6ccdc6-3b6f-4e39-aadd-ccb28a3c0c1d · outbound
This paper cites Amnesiac Machine Learning.
How to Protect Models against Adversarial Unlearning? Amnesiac Machine Learning
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:32.345553Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d63160d5-62e7-4210-9e9a-46a9d22b8a28 · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:32.277741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a21b030a-d1bb-4e72-ab79-99ee4542c02f · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:26:37.404775Z
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 2849827f-2259-4c05-96d2-629045f4ef92 · outbound
This paper cites Certified Data Removal from Machine Learning Models.
How to Protect Models against Adversarial Unlearning? Certified Data Removal from Machine Learning Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:32.410118Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86d6337a-8f3f-4730-bb8e-8199f45b21c8 · outbound
This paper cites Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy.
How to Protect Models against Adversarial Unlearning? Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:26:35.341912Z
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 ecbe00d0-7f7b-473f-8e52-577b3fa26e76 · outbound
This paper cites SoK: Privacy-Preserving Data Synthesis.
How to Protect Models against Adversarial Unlearning? SoK: Privacy-Preserving Data Synthesis
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:32.601834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42ddc9e5-d103-47c2-99ed-1fa08c2726d1 · outbound
This paper cites Understanding Black-box Predictions via Influence Functions.
How to Protect Models against Adversarial Unlearning? Understanding Black-box Predictions via Influence Functions
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:32.988235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ce2e430-f91c-40da-a77b-e31e0572d8f7 · outbound
This paper cites Jeong, S.
How to Protect Models against Adversarial Unlearning? Jeong, S
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:26:37.222683Z
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 61bec075-218b-4aef-bbfe-7c007d4b67b6 · outbound
This paper cites Lapuschkin, S.
How to Protect Models against Adversarial Unlearning? Lapuschkin, S
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:33.211004Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e989c6bf-2cf7-42cf-b9d6-4b04d8e6bf9b · outbound
This paper cites Krizhevsky and G.
How to Protect Models against Adversarial Unlearning? Krizhevsky and G
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:33.106799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dab079a-6397-441f-bbb9-c8bbcb5d31d8 · outbound
This paper cites Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning.
How to Protect Models against Adversarial Unlearning? Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:26:35.130357Z
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 6c6dbaed-7614-456f-bbe1-70157da217bf · outbound
This paper cites Lecun, L.
How to Protect Models against Adversarial Unlearning? Lecun, L
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:33.279282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03c3957c-8a53-4d58-acfc-dba1b84dde35 · outbound
This paper cites Certifiable Machine Unlearning for Linear Models.
How to Protect Models against Adversarial Unlearning? Certifiable Machine Unlearning for Linear Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:33.505121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16ae5a5c-c1af-426d-bbf4-aab0774634c5 · outbound
This paper cites New insights and perspectives on the natural gradient method.
How to Protect Models against Adversarial Unlearning? New insights and perspectives on the natural gradient method
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:33.842067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1e86e65-b0e1-48e0-90df-0f89edb4d16f · outbound
This paper cites Hard to Forget: Poisoning Attacks on Certified Machine Unlearning.
How to Protect Models against Adversarial Unlearning? Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:26:35.010774Z
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 ff55a171-b99e-4cd8-8f32-b1a2f5ca9492 · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:26:37.046591Z
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 33ff1bbd-d104-4ca5-b298-4d3203d47d4c · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:26:36.678565Z
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 6da7fb12-cb13-42f2-80fc-709bbdd726e2 · outbound
This paper cites Martens and R.
How to Protect Models against Adversarial Unlearning? Martens and R
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:26:36.830420Z
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 e66efcbe-fa0a-4241-bf04-2b93ebabd54f · outbound
This paper cites An Introduction to Machine Unlearning.
How to Protect Models against Adversarial Unlearning? An Introduction to Machine Unlearning
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:34.050902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffe75583-e220-4c2c-814f-1787e1d444bf · outbound
This paper cites Shaik, X.
How to Protect Models against Adversarial Unlearning? Shaik, X
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:26:36.331156Z
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 4dc3cc84-9564-4c84-a744-08ac86e496f6 · outbound
This paper cites A Survey of Machine Unlearning.
How to Protect Models against Adversarial Unlearning? A Survey of Machine Unlearning
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:34.231342Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 996d00b9-29b8-4346-8613-12242625064b · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:26:36.477077Z
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 dffef6ff-b69e-4309-8da1-e4801f056805 · outbound
This paper cites Machine Unlearning: Solutions and Challenges.
How to Protect Models against Adversarial Unlearning? Machine Unlearning: Solutions and Challenges
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:34.714945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca96a4df-a94e-4778-92ea-97a47e8b588b · outbound
This paper cites Thudi, H.
How to Protect Models against Adversarial Unlearning? Thudi, H
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:26:36.147405Z
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 c2d934f0-eed3-4463-802d-6d20f0d11fc1 · outbound
This paper cites Wallis and I.
How to Protect Models against Adversarial Unlearning? Wallis and I
Reference 44
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-06T17:26:34.631627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff251828-762c-4b10-832c-02c2eb004ac1 · outbound
This paper cites an unresolved cited work.
How to Protect Models against Adversarial Unlearning? Unresolved cited work
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:31.026172Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3b20c0b-4364-4997-8470-c7fd5c11ace0 · outbound
This paper cites Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy.
How to Protect Models against Adversarial Unlearning? Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:34.482578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.