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Paper Citation Record · LEDGER

Unlearn What You Want to Forget: Efficient Unlearning for LLMs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2310.20150.

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

pith.paper-citation-record.v1
2310.20150 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:36:41.567135Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ba7dd38d-335f-43bf-8b0f-17adbb1578de · inbound

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

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:26:55.113241Z

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=2026-05-16T22:26:55.008143Z digest=sha256:e865850dae494eae74bcaea86ec8232a9ccab043298b4b8d11dac95d878c1a70

Observation 1de5dcf1-9dc5-4024-b11b-a803ebcb148f · 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 Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:59.014150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:59.014150Z digest=sha256:3475fb1375395ac6e95d2b47049849b9d4df9a65789435dec1dfe89fa14ef402

Observation 57c2c9b5-a185-4097-9142-d86689e87ec8 · inbound

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

UCD: Unlearning in LLMs via Contrastive Decoding Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T04:22:59.816733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:22:59.816733Z digest=sha256:fbfa78f24fb6a11cddb73e53c99b3e554caa964bc98c67617b3a92bb2a32c808

Observation 4ab2cb67-5ceb-4a61-b78a-855c2da85004 · 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 Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-07T00:29:35.001839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:29:35.001839Z digest=sha256:b1c365297c76699b3a5068e11ff2cd67ccd87f0d7d10088d83ba6e17c4aa1bf2

Observation 1cdee065-337a-426a-ab02-87660ba67cf5 · inbound

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

Revisiting the Past: Data Unlearning with Model State History Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:13:01.577975Z

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=2026-05-19T08:12:19.391973Z digest=sha256:fa2039ecb85b6cdeac24fd5c80268118c4fa02626c85706fc6f1ae22e7fccb68

Observation a44c7e86-0268-4548-b0fc-cbb22906747c · inbound

Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs cites this paper.

Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 1952

Resolution
unresolved
no resolver link, observed 2026-08-06T19:59:50.145924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:59:50.145924Z digest=sha256:263a24a1e302ea191702f1ea71f788f03d1d74600b9ca10a923edcdef2fab8f9

Observation c6988fd2-9f17-4e27-8b8c-379ec4742215 · inbound

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models cites this paper.

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T19:08:22.273873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:08:22.273873Z digest=sha256:ccdbe603ca21c4bc396dca14a89aa45adc99d11003681420be4c6eee59992187

Observation d8baadf5-d4a0-44f1-8adc-2e4bd587d0f0 · inbound

Towards Evaluation for Real-World LLM Unlearning cites this paper.

Towards Evaluation for Real-World LLM Unlearning Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T05:48:02.539689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:48:02.539689Z digest=sha256:1a7ed87253dd4d4294a74508095dd1853fe02aabe29e775bd64d80fa7f4d0e6a

Observation 47eb7302-60d2-47df-ae86-d5075eaadeb7 · inbound

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection cites this paper.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T17:56:08.652436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:56:08.652436Z digest=sha256:bb02abed9c8007e45a3a2c4f21a2c042d24c9eb139386809f25c87a8200704d5

Observation 9f31092c-ff79-4ca0-8b59-7dc018eedfce · inbound

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

OFMU: Optimization-Driven Framework for Machine Unlearning Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T13:06:23.519134Z

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=2026-05-18T13:05:50.233483Z digest=sha256:5fa3c4b06dc6120409839d40d630bff90bb8d1cd894b765c7557c2690ae619d0

Observation 7ca5c113-7c77-49a6-897f-1dcb16bc08ec · inbound

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

Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T11:27:22.713758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:27:22.713758Z digest=sha256:c994f3ae6598068d296bd38e4984f8569f7f5825dd6d4d9233d3d875c8533cd9

Observation 2633a18d-52e4-467a-8f1b-f3fca37094bb · inbound

Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning cites this paper.

Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T12:25:00.927145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T12:25:00.927145Z digest=sha256:5348e4c4adb115ddbf4ebf82e1f4511ee79237566007e1ac05bb6562986df8e9

Observation ba998153-07c4-46b0-9e42-321f7f0dfcbc · inbound

Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation cites this paper.

Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:55:52.755331Z

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=2026-05-10T20:26:25.834943Z digest=sha256:af9636ad71beb17ffda860f860ba8152f8e1a55189c5ad6afe492942e44b72ac

Observation add77f5c-eadf-46cc-a9aa-73b38bac468f · inbound

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

Representation-Guided Parameter-Efficient LLM Unlearning Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 113

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:06:19.228190Z

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=sha256:7b05ad7776e829cf1cf4397bc9c660d92a4e38025192c6e4808f431bd57d38ac

Observation 4b3f4468-a597-4bc0-b8dd-1bdd2d24287b · inbound

Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression cites this paper.

Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 108

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:21:05.127350Z

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=2026-05-10T01:56:27.674057Z digest=sha256:41c5f7f6be082791030e3959a4e432670d61e6f57932ac5a03c5d3f0823404a3

Observation ec5975a8-2b06-4907-9036-569f2d04070b · inbound

Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning cites this paper.

Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:36:06.587136Z

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=2026-05-09T19:39:15.279115Z digest=sha256:5e9762b9076ec618e0aa39273741dfe9b02eabe94d398c8c142cb273bd2f18b6

Observation f6e413b5-234a-48ec-9c88-a5af571f0dd8 · inbound

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning cites this paper.

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:10:42.171234Z

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=2026-05-08T18:49:53.432959Z digest=sha256:01787643f53c9b7d21b71f3276ac3fab6f2190c6ca49dc5f6c4eceb84bb0fb5a

Observation 557894b5-b093-4ebe-aeeb-065618a5aaac · inbound

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning cites this paper.

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:50:51.143728Z

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=2026-05-11T01:49:51.021741Z digest=sha256:7d328743ae4acabb0bdd7473251f6e47d31fb2bae8ef7518c61043d7f833d569

Observation c589fa46-0b56-472e-b030-660d290befa0 · inbound

AI as a Tool for Simulation-Based Experiments in Literary Studies cites this paper.

AI as a Tool for Simulation-Based Experiments in Literary Studies Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-28T15:02:18.903294Z

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=2026-06-28T14:54:14.909995Z digest=sha256:044329859dde2e8c2ca50c371d83331bd262b0f87fe0375e52581fc414bb2dee

Observation 0f1016bd-84df-4aad-8764-5ac18ba9b159 · inbound

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

GROM: Gradient-Free Rapid One-Shot Machine Unlearning Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T23:36:41.567135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:36:41.567135Z digest=sha256:81f52a3b0d1827477fa045bf3d1784c5c3405bc269c342e018340a70e299b10f