Paper Citation Record · LEDGER

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning

As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2506.14515.

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

pith.paper-citation-record.v1
2506.14515 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:25.015336Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T05:53:18.934088Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T05:54:08.248768Z

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy5
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b4de39d-fc31-4820-bf1b-ad583ded2865 · outbound

This paper cites A., Jia, H., Travers, A., Zhang, B., Lie, D., and Papernot, N.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning A., Jia, H., Travers, A., Zhang, B., Lie, D., and Papernot, N

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:26.469165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 653bdc43-8646-4b9d-b19d-cc93c1fc3d49 · outbound

This paper cites and Yang, J.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning and Yang, J

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:24.081452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f89707c-d3b1-400f-a375-c36477e166dd · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning Imagenet: A large-scale hierarchical image database

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:24.171950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f15dbd03-fd4f-4493-8205-d3f15eb3bcfb · outbound

This paper cites The limits of differential privacy (and its misuse in data release and machine learning).

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning The limits of differential privacy (and its misuse in data release and machine learning)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:26.283898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 785535d6-3d60-4dc2-838a-5a1cda1a46b9 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:24.334642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a77a5e1-7750-40f0-85a1-0f8674f83ccd · outbound

This paper cites Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:24.398175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b225a2de-e075-4831-9448-053fb308c440 · outbound

This paper cites Certified Data Removal from Machine Learning Models.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning Certified Data Removal from Machine Learning Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:24.456406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f924b9e-8bc3-4c84-a249-873553b34212 · outbound

This paper cites Learning multiple layers of features from tiny images.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning Learning multiple layers of features from tiny images

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:24.511983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c37c4b7e-c6ad-4016-9cd8-972a83f4f66d · outbound

This paper cites Crafting papers on machine learning.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning Crafting papers on machine learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:24.569156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e36a65-d9f9-45dd-8842-d0c308566b0d · outbound

This paper cites Learn to forget: Machine unlearning via neuron masking.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning Learn to forget: Machine unlearning via neuron masking

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T00:24:25.305927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 01e53704-aeac-4d87-83c7-a5344f677cb6 · outbound

This paper cites and Prathosh, A.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning and Prathosh, A

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:26.084023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8c19fde2-a54b-4777-9436-d8e00285da5b · outbound

This paper cites an unresolved cited work.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:24:25.913427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 006fa358-2140-4abe-a340-3801613111e5 · outbound

This paper cites Forget-me-not: Learning to forget in text-to-image diffusion models.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning Forget-me-not: Learning to forget in text-to-image diffusion models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:25.680595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 27ce30d2-1913-41bd-9e85-fa6fad0ce76d · outbound

This paper cites Recommendation unlearning via influence function.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning Recommendation unlearning via influence function

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:25.517335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ddb7ebbc-837d-4fc2-b04c-c9aee1267437 · outbound

This paper cites write newline.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning write newline

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:25.015336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 331f7d29-10f7-421c-adc1-1e6f933471ef · inbound

POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse cites this paper.

POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:54:08.256165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.