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Paper Citation Record · LEDGER

Towards Safer Large Language Models through Machine Unlearning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2402.10058.

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

pith.paper-citation-record.v1
2402.10058 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:25.408787Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T01:13:42.726985Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 593c5037-4479-48fe-8da3-80a161ad8667 · inbound

Machine Unlearning: A Comprehensive Survey cites this paper.

Machine Unlearning: A Comprehensive Survey Towards Safer Large Language Models through Machine Unlearning

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:13:42.729379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T01:13:26.620111Z digest=sha256:78e7f77eb143090f6f03e3722214e22d928c53a6cf4f7ac62821d48ae514058c

Observation 9131cf36-7243-4eb8-bf24-82b8105072f1 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities Towards Safer Large Language Models through Machine Unlearning

Reference 139

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:16:04.589018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:3caf761c9feaf26ab79e70d68596ec1bb472809c7fddb589be7431c04a804f99

Observation c072c553-2c07-4d91-8366-6fbf182abd25 · inbound

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey cites this paper.

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey Towards Safer Large Language Models through Machine Unlearning

Reference 108

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:25.408787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:25.408787Z digest=sha256:b389e6bf4180db9bbe2a4775135de12ba8d304e4cb9d4844629b7c35f4944b63

Observation 07900039-fab8-4b2d-8398-68f4b2de999c · inbound

Merge to Mix: Mixing Datasets via Model Merging cites this paper.

Merge to Mix: Mixing Datasets via Model Merging Towards Safer Large Language Models through Machine Unlearning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:36.201910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:36.201910Z digest=sha256:570bbb5fbf474e9c8fea01d40d861c7d4af170e30c1ed445c4383442297bef12

Observation 17216333-6338-41d6-b3ca-e3a42ffbbbc2 · inbound

LLM Unlearning Should Be Form-Independent cites this paper.

LLM Unlearning Should Be Form-Independent Towards Safer Large Language Models through Machine Unlearning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:33.583483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:33.583483Z digest=sha256:01aff61b001998dcf4f4a671d4b5a5ee5a073f1d862d1a14af64b166ae7a4838

Observation 1f5a3982-23a1-4ea9-a5b0-ddc62cb76040 · inbound

SoK: Machine Unlearning for Large Language Models cites this paper.

SoK: Machine Unlearning for Large Language Models Towards Safer Large Language Models through Machine Unlearning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:50.184699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:50.184699Z digest=sha256:848d3e9f8c2e2bbc7a0bf9245342cb3817e7a3f8bbddb6649a04de4af1e916b8

Observation b1d95bbd-d300-427e-ad99-332c186712eb · inbound

Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design cites this paper.

Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design Towards Safer Large Language Models through Machine Unlearning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T21:01:26.763634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:01:26.763634Z digest=sha256:2198e8a84a00c838f204a48be5a64bf52fcfb6cba32cd36617802d1a036f7f03

Observation d68c6b24-d6c9-4f77-b76d-b49076c2e403 · inbound

Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning cites this paper.

Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning Towards Safer Large Language Models through Machine Unlearning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T11:27:20.798918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:27:20.798918Z digest=sha256:b492761879a58cce7fa2eb67681f202400b1a4d35536756b9cb572b12e2b0a65

Observation dd0ed45c-cb93-426e-b624-a3b258a80e17 · inbound

Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning cites this paper.

Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning Towards Safer Large Language Models through Machine Unlearning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T20:24:21.213618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:24:21.213618Z digest=sha256:5b2d61277a7f559366f6a684c398f4a59870d1febfe2d46c14f1f31208363d5e

Observation 7d63ac73-201a-48a0-bd8a-bd214d944b3b · inbound

Is your algorithm unlearning or untraining? cites this paper.

Is your algorithm unlearning or untraining? Towards Safer Large Language Models through Machine Unlearning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:30:59.086657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:06:08.962042Z digest=sha256:200b5f2ee1869316517ef1e60714134b7426a965077f8d22a8410e47f0da6220

Observation 363fd53a-cbf6-451d-8beb-ebf7bb62c4ce · inbound

From Anchors to Supervision: Memory-Graph Guided Corpus-Free Unlearning for Large Language Models cites this paper.

From Anchors to Supervision: Memory-Graph Guided Corpus-Free Unlearning for Large Language Models Towards Safer Large Language Models through Machine Unlearning

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:15:28.909431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:15:16.795281Z digest=sha256:64f3ab097c3cfed29d8d990142ae96a0f457b42333f4d4114f1debdf5f3b9b84

Observation 9d44e13b-400e-4b0b-b22a-eb57e19d76b4 · inbound

Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

Representation-Guided Parameter-Efficient LLM Unlearning Towards Safer Large Language Models through Machine Unlearning

Reference 174

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:06:19.379271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T06:01:46.885030Z digest=sha256:84f3e9a1bc7d6f6c48732f3b34de69a5024573f4336c1a0a730a37ee9d2660d6

Observation fd764f5a-ec33-4957-bfbc-86f6ead3cc51 · inbound

Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning cites this paper.

Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning Towards Safer Large Language Models through Machine Unlearning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:46:08.263942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T11:06:45.175766Z digest=sha256:34d92e7a1601d1fb0715d27fa073f403091acba678994808550b81b3af2104c1

Observation f5168594-3b86-4bd6-971b-a3779378a739 · inbound

PPU-Bench:Real World Benchmark for Personalized Partial Unlearning in Vision Language Models cites this paper.

PPU-Bench:Real World Benchmark for Personalized Partial Unlearning in Vision Language Models Towards Safer Large Language Models through Machine Unlearning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:01:27.980149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T01:25:04.463325Z digest=sha256:667680d571d77a9ffa4302389081c99a91056476e381e7458c28e78c80934954

Observation 741551d1-bc65-436f-ac61-ecabaaabb09c · inbound

ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models cites this paper.

ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models Towards Safer Large Language Models through Machine Unlearning

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T19:23:40.820461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T19:22:43.082083Z digest=sha256:f9c143ff47ecd71f106e2961dbcbd84bd2ff62bfbba5d0366e000bd17a68cba7