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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T00:24:24.010361Z digest=sha256:e610205bd987d231dedb50f967c5ec9f174d9a33a382ffd445fc6e268c491920

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.

source=arxiv_source observed=2026-08-07T00:24:24.081452Z digest=sha256:ff11245a62c8a2c883a75544de99dc7c18897e85509442fa512ee61817dae823

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.

source=arxiv_source observed=2026-08-07T00:24:24.171950Z digest=sha256:143a77a75f090e9320d29f67cce8da12630ae5aaf2dcd9aa9ef6ede254efed8d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T00:24:24.255420Z digest=sha256:d911ef3e5750d73cd03c6a1164a211762448d5197e59984294be4d93291b31c1

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.

source=arxiv_source observed=2026-08-07T00:24:24.334642Z digest=sha256:2cd3ee672a5f8cb3db6be447512431ec84d2ffc1e9ffdb30250c0e6ee3f1d9e5

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.

source=arxiv_source observed=2026-08-07T00:24:24.398175Z digest=sha256:4fe68576eee92fce93c401bcbedad300a452c5b733521d987c5c213a908ab2c9

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.

source=arxiv_source observed=2026-08-07T00:24:24.456406Z digest=sha256:8de988f788a1b896ada42e7d59ab398290f9241c446f489c28c1240acdd42eb1

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.

source=arxiv_source observed=2026-08-07T00:24:24.511983Z digest=sha256:f715490ec5e69cdeee6e668070a8088642e1c27ff139bc9a14b2c5091b582267

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.

source=arxiv_source observed=2026-08-07T00:24:24.569156Z digest=sha256:7c667c291d7949826acd21424709391893fe9bc41d8c170f1aa5c7d03218eab7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T00:24:24.624720Z digest=sha256:3567fc98f65fbbc5e94247e11ce93a4d976d845912ce98baf496b92da4eeca81

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T00:24:24.683267Z digest=sha256:646d5c2f208e4bf90599fcf0e8b4421d1ec4d2b8255372d1724da3b647f6b4e6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T00:24:24.784357Z digest=sha256:3e6ff781e686a619a10fc72869ed22f098e2880bdfdf376a903e3a5fe5242651

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T00:24:24.832747Z digest=sha256:1b78d999dada6cabbf0e8986bee668f5a46a43bb82d577555b07287f0f9a798f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T00:24:24.882667Z digest=sha256:f986f19a39ab8d1739984cff678eae5a4a9efe01eaa1665758d0c10bf4c20ecc

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.

source=arxiv_source observed=2026-08-07T00:24:25.015336Z digest=sha256:c756a812796044d1bc17ca26a1b1711ebe648d1ad170099884c225e751ef2197

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-17T05:53:18.934088Z digest=sha256:54e7ca125e827db0c77424d4fba04e64078a1a4be361b4839c66fd5ca5266450