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Paper Citation Record · LEDGER

Machine Unlearning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:17:56.521565Z

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-16T14:22:01.616448Z digest=sha256:ba3c7a778104f228e15ed2f49fea439c7994f17103132a2f0a80a075199b246a

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-23T06:47:20.954350Z digest=sha256:1d2d98411e7fdfc019fcfcc7607a2f3b1d5465ec8c4efb65b6c7274561d6889a

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:d372d3d271120c5868dcada6430179e934be47db3f7cf31ae320908f0aae4977

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:b30c1b7e8cb9245cde155ffa37833ca6e21c1b11ed5fdb23e80dd7697727add9

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=sha256:1610eaef2231aa3aa74ee860d16c1cd627916cd65c41259f4f5f1dfe5b98cc00

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=sha256:448ed52a6b3066e997024a3749624c3c537adb15c98aaf9b95d62e6950eca48c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T11:24:29.533446Z digest=sha256:ddaa6601b26a9a453a66baeb483cb6a130f281c2d396420ab5d1e1bec8086477

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-09T22:26:34.487400Z digest=sha256:1e6423dd8619d1e5d8a3b7ede04f0253dcc0c14b3cde68a3b7d7a668f4a0e434

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T12:12:55.149906Z digest=sha256:9571f8daf5e6f1a97ba383e51cc3ba2ae04738e5e1f2f3c3ee467b9fa54f754d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T14:37:22.622810Z digest=sha256:b5531f5b73b4b450c843b843a132ee15ada78b0424bfd18afae57c7f16f3ea07

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T14:54:14.909995Z digest=sha256:3717b9a4c2bd7bf3a78fb2663c87485573482a331c6b7ae66007839ae8e668b2

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T04:02:58.743426Z digest=sha256:e49c914816b0efb6a33b1b1414caa598cb501321e9c003ba41ad8b9445eefda0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T09:10:39.422141Z digest=sha256:fdc51a7dbe2026318933d25bd891a19480bbb5b6672335b27a5750b0b3b9961b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T13:09:34.491580Z digest=sha256:c75a106dab2a4d19d6eb1c765a0702f8d29de5abea805130a00ce603a188dff2

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:fb9a93b2828bfddb52a8d1869c622c8e435fd774ea104126c703239877d01ad7

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:ace1c8c5895856f90a1c24e291c3247b8f3c885cd056541e5aba154d28eea607