Paper Citation Record · LEDGER

Large Language Model Unlearning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2310.10683.

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

pith.paper-citation-record.v1
2310.10683 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:04:50.310968Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:17:30.401901Z

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 688ed044-1c80-45d9-9fec-633ae8258b77 · inbound

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning cites this paper.

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning Large Language Model Unlearning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:26:55.104935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb017eb1-2cc5-433f-94d8-feb9165d07e2 · inbound

Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating cites this paper.

Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating Large Language Model Unlearning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-09T20:04:50.310968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 000271d4-ba5e-485d-a81c-e51c9b5a2a1e · inbound

Agents Are All You Need for LLM Unlearning cites this paper.

Agents Are All You Need for LLM Unlearning Large Language Model Unlearning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.761354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ad9e71a-8fce-4019-b3f4-3f172b40c47d · inbound

Tool Unlearning for Tool-Augmented LLMs cites this paper.

Tool Unlearning for Tool-Augmented LLMs Large Language Model Unlearning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:01.330075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f51a3c09-5b23-4890-9ec3-fc74d08d7713 · inbound

Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond cites this paper.

Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond Large Language Model Unlearning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T19:40:31.621100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5624aba-c400-464f-995c-c86308886f5f · inbound

Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art cites this paper.

Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art Large Language Model Unlearning

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:05.093230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a02f7ae3-fd98-42d0-9a2d-e4db4ee99513 · inbound

Soft Weighted Machine Unlearning cites this paper.

Soft Weighted Machine Unlearning Large Language Model Unlearning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:25.470835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee9df450-9d8c-4548-9f14-aa4eba851817 · inbound

Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning cites this paper.

Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning Large Language Model Unlearning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:35.694158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76fbcd0c-3672-42ce-b8cd-895a4e53e6cb · inbound

LLM Unlearning Should Be Form-Independent cites this paper.

LLM Unlearning Should Be Form-Independent Large Language Model Unlearning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:37.387359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37af3255-1ac2-47fc-b148-de73a3a79a6a · inbound

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

SoK: Machine Unlearning for Large Language Models Large Language Model Unlearning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:46.938165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b858588d-856d-4fb0-8f14-103b6e63c646 · inbound

Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models cites this paper.

Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models Large Language Model Unlearning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:08.703297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbc83ff9-b702-4e5f-a336-df8a0bb7fe04 · inbound

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models cites this paper.

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models Large Language Model Unlearning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:59.158515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e68cfed9-9054-4469-94ac-37357192de68 · inbound

UCD: Unlearning in LLMs via Contrastive Decoding cites this paper.

UCD: Unlearning in LLMs via Contrastive Decoding Large Language Model Unlearning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:59.907434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d978532-ce65-4a57-9292-984de2e29c7c · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Large Language Model Unlearning

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.473481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c16152a-b312-42e4-8753-b8f9fd2674e6 · inbound

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs cites this paper.

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs Large Language Model Unlearning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:38.583685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13b59c4f-9570-4c18-8e01-62d6a2224706 · inbound

Revisiting the Past: Data Unlearning with Model State History cites this paper.

Revisiting the Past: Data Unlearning with Model State History Large Language Model Unlearning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.684181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d6eb9f82-ed2c-4052-acbb-7a1f0c1b2b83 · 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 Large Language Model Unlearning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T21:01:26.878821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46228d44-2166-48a1-a822-0e3a99146437 · inbound

Towards Source-Free Machine Unlearning cites this paper.

Towards Source-Free Machine Unlearning Large Language Model Unlearning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T18:12:30.499481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06f09a25-8d2e-4c0b-ac39-584f19e408fb · inbound

Module-Aware Parameter-Efficient Machine Unlearning on Transformers cites this paper.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Large Language Model Unlearning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T17:06:15.144759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19c57200-4fbc-4474-bf0a-e7c87659a1c5 · inbound

OFMU: Optimization-Driven Framework for Machine Unlearning cites this paper.

OFMU: Optimization-Driven Framework for Machine Unlearning Large Language Model Unlearning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:06:23.512983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c71f72c-0646-446a-9a84-ab855d07ad30 · inbound

Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding cites this paper.

Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding Large Language Model Unlearning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T23:39:09.842328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c0d0145-a7a3-4e46-a4a3-bf9f2b0fbdc7 · 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 Large Language Model Unlearning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T20:24:21.265263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f613ef71-b331-4438-bfff-85f2c47f9db0 · inbound

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

Representation-Guided Parameter-Efficient LLM Unlearning Large Language Model Unlearning

Reference 112

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:06:19.371695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eed3b7a0-228b-443d-89fa-16ef1502df6a · inbound

Probe-Geometry Alignment: Erasing the Cross-Sequence Memorization Signature Below Chance cites this paper.

Probe-Geometry Alignment: Erasing the Cross-Sequence Memorization Signature Below Chance Large Language Model Unlearning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:55:30.148146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05487b1a-d02e-4fa0-9593-7f8857990039 · inbound

Comprehensive AI governance requires addressing non-model gains cites this paper.

Comprehensive AI governance requires addressing non-model gains Large Language Model Unlearning

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T08:15:31.648192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 899f48e4-d178-48e6-a6f4-1886db9ec26a · inbound

Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior cites this paper.

Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior Large Language Model Unlearning

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:16.669636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 526872cc-a9ff-4641-825f-854dbdd62cab · inbound

RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System) cites this paper.

RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System) Large Language Model Unlearning

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:17:30.403720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67073e5e-4f1a-4c84-8368-70dbb92dfb52 · inbound

MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs cites this paper.

MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs Large Language Model Unlearning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T22:55:43.595779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0af05b8-938c-4da6-b102-cb2ac2131b3e · inbound

One Modality to Forget Them All: Enhancing Cross-Modal Unlearning in Vision-Language Models cites this paper.

One Modality to Forget Them All: Enhancing Cross-Modal Unlearning in Vision-Language Models Large Language Model Unlearning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:07.287208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 485aba39-913a-4e14-bbcb-4c523089be4e · inbound

Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning cites this paper.

Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning Large Language Model Unlearning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T14:53:56.695728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c3aac8-1715-4059-a5cd-fd086f76746b · inbound

GROM: Gradient-Free Rapid One-Shot Machine Unlearning cites this paper.

GROM: Gradient-Free Rapid One-Shot Machine Unlearning Large Language Model Unlearning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T23:36:41.758635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.