Paper Citation Record · LEDGER

Multi-Objective Reference-Aligned Machine Unlearning

As of 23 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2606.00399.

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

pith.paper-citation-record.v1
2606.00399 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:00:51.294463Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact4
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e7a9c75-91c2-42de-b31d-66cff3a6ecc6 · outbound

This paper cites an unresolved cited work.

Multi-Objective Reference-Aligned Machine Unlearning Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55672898-cd84-4660-9a93-0428108a4360 · outbound

This paper cites Shao and Y.

Multi-Objective Reference-Aligned Machine Unlearning Shao and Y

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a919e017-431d-4013-b921-37e797c5c793 · outbound

This paper cites What makes unlearning hard and what to do about it.

Multi-Objective Reference-Aligned Machine Unlearning What makes unlearning hard and what to do about it

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6922965-6efb-4cf5-86fa-39ef7257d2fd · outbound

This paper cites an unresolved cited work.

Multi-Objective Reference-Aligned Machine Unlearning Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 185708da-66ef-4d38-8e31-1ce34927581a · outbound

This paper cites Cheng, Z.

Multi-Objective Reference-Aligned Machine Unlearning Cheng, Z

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b8cf086-0ede-41d7-86e0-4579a4cc1d68 · outbound

This paper cites doi: 10.18653/v1/2024.acl-long.457.

Multi-Objective Reference-Aligned Machine Unlearning doi: 10.18653/v1/2024.acl-long.457

Reference 6

Resolution: metadata mismatch; doi, observed 2026-06-28T23:02:45.632741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3832a6c4-3113-4473-876c-9d77509624ac · outbound

This paper cites Random Relabeling for Efficient Machine Unlearning.

Multi-Objective Reference-Aligned Machine Unlearning Random Relabeling for Efficient Machine Unlearning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:02:46.154369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bcf8805c-c4d0-4e61-a6ed-46c9221e94d2 · outbound

This paper cites an unresolved cited work.

Multi-Objective Reference-Aligned Machine Unlearning Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54f78d98-e5e9-4b80-ad3c-560184d363d3 · outbound

This paper cites Unrolling sgd: Understanding factors influencing machine unlearning.

Multi-Objective Reference-Aligned Machine Unlearning Unrolling sgd: Understanding factors influencing machine unlearning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a8515bc-8c9b-4480-8bb0-0c19cf0af63a · outbound

This paper cites Eternal sunshine of the spotless net: Selective forget- ting in deep networks.

Multi-Objective Reference-Aligned Machine Unlearning Eternal sunshine of the spotless net: Selective forget- ting in deep networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc3ad69d-2cde-422f-bdf2-29b48ae1f1eb · outbound

This paper cites Machine Unlearning of Features and Labels.

Multi-Objective Reference-Aligned Machine Unlearning Machine Unlearning of Features and Labels

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:02:46.150440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1b994120-16c0-46db-98a5-caefe4f353f4 · outbound

This paper cites Approximate data deletion from machine learningmodels.

Multi-Objective Reference-Aligned Machine Unlearning Approximate data deletion from machine learningmodels

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc0c54eb-5a23-4790-9981-cf350d5a99cb · outbound

This paper cites Model Sparsity Can Simplify Machine Unlearning.

Multi-Objective Reference-Aligned Machine Unlearning Model Sparsity Can Simplify Machine Unlearning

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:02:46.155654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e98c6e25-4c80-46cb-8355-37e3bd3578ca · outbound

This paper cites SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.

Multi-Objective Reference-Aligned Machine Unlearning SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:02:46.153028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9475ae9e-59fb-4bfd-8543-7981febb367f · outbound

This paper cites Munba: Machine unlearning via nash bargaining.

Multi-Objective Reference-Aligned Machine Unlearning Munba: Machine unlearning via nash bargaining

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8ed2cd1-1ad1-44c9-8840-c9fc87e2898d · outbound

This paper cites Multiple-gradient descent algorithm (MGDA) for multiobjective optimiza- tion.

Multi-Objective Reference-Aligned Machine Unlearning Multiple-gradient descent algorithm (MGDA) for multiobjective optimiza- tion

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53d5e9ef-38ce-4453-8fc2-27cec93849af · outbound

This paper cites Multi-task learning as multi-objective optimization.

Multi-Objective Reference-Aligned Machine Unlearning Multi-task learning as multi-objective optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d1fe785-a672-43b7-aec7-a2655ec542b7 · outbound

This paper cites Jacobian Descent for Multi-Objective Optimization.

Multi-Objective Reference-Aligned Machine Unlearning Jacobian Descent for Multi-Objective Optimization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:02:46.158955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e57234d-a07e-46f1-8c71-1532ce4bb274 · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: NSGA-II.

Multi-Objective Reference-Aligned Machine Unlearning A fast and elitist multiobjective genetic algorithm: NSGA-II

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T23:00:51.294463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.