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Paper Citation Record · LEDGER

Machine Unlearning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:1912.03817.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1912.03817 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:56:56.472758Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dc8df386-ab1b-49cd-834d-b22dd28fb5ec · inbound

Frontier Models are Capable of In-context Scheming cites this paper.

Frontier Models are Capable of In-context Scheming Machine Unlearning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:22:01.702685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-16T14:22:01.616448Z digest=sha256:2d89e7e2785f4baf935a9dc43f2e04eecd1286469cafa1a94580b0baeffcd0ac

Observation 8484b3ef-ca60-4fb9-8553-8a6d1c8d4f89 · inbound

From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection cites this paper.

From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection Machine Unlearning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:47:39.502696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-23T06:47:20.954350Z digest=sha256:497b1cd4225b7e5616d0c8aabac2c50281c16cbc3fd33e630852c0bcd16ebe2d

Observation 76e22d6d-e486-4c8c-8a10-5a1fc616d002 · inbound

Can Language Models Represent the Past without Anachronism? cites this paper.

Can Language Models Represent the Past without Anachronism? Machine Unlearning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:56.472758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:56.472758Z digest=sha256:89be0e59bfec53217076598df925ab60efc42bf27ac314e83ecaf6c12fd2d100

Observation 548a020a-e599-452a-9cc7-cacf51baf8ab · inbound

Mirror Mirror on the Wall, Have I Forgotten it All? A New Framework for Evaluating Machine Unlearning cites this paper.

Mirror Mirror on the Wall, Have I Forgotten it All? A New Framework for Evaluating Machine Unlearning Machine Unlearning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T22:11:08.476436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:11:08.476436Z digest=sha256:8ed66cdc342393e3763300e475cdd6830daa12e2c564e03e6e2893dd86e9b586

Observation 7e13f513-8277-4c9e-b19c-c2ce9a8f3720 · inbound

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings cites this paper.

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings Machine Unlearning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:43.583891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:54:43.583891Z digest=sha256:3bb4716f7266137cca76d189788e8c1abb5c5f8a7789d7e9d4aad0381c824129

Observation 4545da31-bbf2-4054-b581-0bf7c3ee89b8 · inbound

Evaluating the Dynamics of Membership Privacy in Deep Learning cites this paper.

Evaluating the Dynamics of Membership Privacy in Deep Learning Machine Unlearning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T10:58:05.875438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:58:05.875438Z digest=sha256:5b009ce10240f182b60b9c7d1df54dbad5eccd5c48182bb96414e2e25e22b362

Observation 1f3a8acc-3023-498f-9f53-83d366028570 · inbound

When unlearning is free: leveraging low influence points to reduce computational costs cites this paper.

When unlearning is free: leveraging low influence points to reduce computational costs Machine Unlearning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T18:28:31.230309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:28:31.230309Z digest=sha256:094e18d2b93990d1f77195357ec972dbd04213ce07e215b87803705dafec6f91

Observation 7ba9bafd-43ad-4b8b-8134-1a3bcb30399f · inbound

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning cites this paper.

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning Machine Unlearning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T06:35:42.099742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:35:42.099742Z digest=sha256:aedb3aea5116338ca6a24decad226d5b9c314a80b88ea570156b9cd381b3d6bd

Observation e5039612-138f-4ee0-ba25-6dd74cca3266 · inbound

Towards Reliable Testing of Machine Unlearning cites this paper.

Towards Reliable Testing of Machine Unlearning Machine Unlearning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:25:18.331034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T11:24:29.533446Z digest=sha256:62ab117bc3402fcdb9b9323ccb533ebbd799cb22eb88d9735ddbafaffdf8c3b5

Observation 149be2ab-acc6-4785-ace4-c0e69b0924b7 · inbound

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies cites this paper.

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies Machine Unlearning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:34:07.442046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-09T22:26:34.487400Z digest=sha256:6fd5c54a6926373481097663be33ad6ac1048798127eac8d6a6924f0359e17f7

Observation 69cc347e-39e3-47c0-8438-3256a4fe7809 · inbound

Shape of Memory: a Geometric Analysis of Machine Unlearning in Second-Order Optimizers cites this paper.

Shape of Memory: a Geometric Analysis of Machine Unlearning in Second-Order Optimizers Machine Unlearning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:21:08.028556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T12:12:55.149906Z digest=sha256:b41ff2bbdc54db84d1c6c39ad3557f425e46d4885e53643aa6a660124b7ba52d

Observation 43c2eded-059d-4668-add5-9f7770502a16 · inbound

Form and Function: Machine Unlearning as a Problem of Misaligned States cites this paper.

Form and Function: Machine Unlearning as a Problem of Misaligned States Machine Unlearning

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:38:21.546955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T14:37:22.622810Z digest=sha256:371295d2b0b05a8a8d904bdc7d575fbcd5c78593a7d9e7c14767f50bdf95e86b

Observation 6ef94034-254c-478e-85d3-096c99130003 · inbound

AI as a Tool for Simulation-Based Experiments in Literary Studies cites this paper.

AI as a Tool for Simulation-Based Experiments in Literary Studies Machine Unlearning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-28T15:02:18.924150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T14:54:14.909995Z digest=sha256:3d68c301e9fbf0b802462d40227d96f2a3d3d04cd31ae4ba44166c374acba2f8

Observation 4c7b20f7-ac51-4c28-8579-d7f5b65d2036 · inbound

Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations cites this paper.

Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations Machine Unlearning

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:28:44.825029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T04:02:58.743426Z digest=sha256:1fcfe6643ee246aa546f0411ec7eaba74d1a7bde0a22c4e010617f7728f91cbb

Observation b96867cf-78aa-445a-ad15-0a3dd6bf18e1 · inbound

Exposing the Illusion of Erasure in Knowledge Editing for LLMs cites this paper.

Exposing the Illusion of Erasure in Knowledge Editing for LLMs Machine Unlearning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:44.312890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T09:10:39.422141Z digest=sha256:e7b6b89ebac2fcfd997a2703dd1bb91a31d75d482c094c6ae1cfca74af288b5a

Observation 0016efe0-f0b2-4f6a-8951-18f6cc8bc8d8 · inbound

Auditing Forgetting in Limited Memory Language Models cites this paper.

Auditing Forgetting in Limited Memory Language Models Machine Unlearning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:16:58.308196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T13:09:34.491580Z digest=sha256:7f062b7005575b012519965f6827a4441d4d705bab52fa352d1681bf511ee691

Observation 1f07e45b-fcf8-4514-b928-9ac337b5f767 · inbound

Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free Certification cites this paper.

Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free Certification Machine Unlearning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-01T14:11:43.479431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:11:43.479431Z digest=sha256:4b990bfedda12d1d0a3362755a09b3adb86954a7e544323fbcb3a90e042e0e1f

Observation 10d6600f-294f-4ff0-a869-9c01daee8747 · inbound

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning cites this paper.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Machine Unlearning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T14:17:56.521565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.521565Z digest=sha256:3d21f39d852402270ecc8f6845141f573afed08ddbeb32b7b81c62b445832ca2