Paper Citation Record · LEDGER

Machine Unlearning of Pre-trained Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2402.15159.

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

pith.paper-citation-record.v1
2402.15159 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:31.887887Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:27:50.540037Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 247270e1-2de3-4069-8fee-21dccc76a84a · inbound

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

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning Machine Unlearning of Pre-trained Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:26:55.100637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4a8ab53-bbe8-4d1a-8851-2f5611bf56bb · inbound

Machine Unlearning: A Comprehensive Survey cites this paper.

Machine Unlearning: A Comprehensive Survey Machine Unlearning of Pre-trained Large Language Models

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:13:42.711581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e97f2e64-7345-4243-9e92-623af150455e · inbound

SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? cites this paper.

SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? Machine Unlearning of Pre-trained Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:22.956427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 426edc21-be33-492d-9b2d-f37c10c516eb · inbound

Fairness and Robustness in Machine Unlearning cites this paper.

Fairness and Robustness in Machine Unlearning Machine Unlearning of Pre-trained Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:31.887887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d6750f5-3e60-4840-b185-9e181fef34a4 · inbound

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection cites this paper.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Machine Unlearning of Pre-trained Large Language Models

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:39.939755Z

Source-reported events for the cited work

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Observation 61ae2b76-6e43-479a-b3ce-c71f64241c95 · inbound

R-TOFU: Unlearning in Large Reasoning Models cites this paper.

R-TOFU: Unlearning in Large Reasoning Models Machine Unlearning of Pre-trained Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:10.541788Z

Source-reported events for the cited work

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Observation 48b0fe37-4bf1-461c-902a-06f854a8f504 · inbound

LLM Unlearning Should Be Form-Independent cites this paper.

LLM Unlearning Should Be Form-Independent Machine Unlearning of Pre-trained Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:33.064947Z

Source-reported events for the cited work

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Observation ecf141a7-2300-4847-ba99-d043a8f50227 · 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 Machine Unlearning of Pre-trained Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:59.154157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adcf01b1-7a6f-4e88-aec9-10c72c738c1a · inbound

Learning-Time Encoding Shapes Unlearning in LLMs cites this paper.

Learning-Time Encoding Shapes Unlearning in LLMs Machine Unlearning of Pre-trained Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:50:54.563575Z

Source-reported events for the cited work

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Observation c7869cbf-9904-4d29-8fe1-05e08742e9da · inbound

Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models cites this paper.

Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models Machine Unlearning of Pre-trained Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:56:31.621944Z

Source-reported events for the cited work

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Observation 8c897e09-205b-40d5-b0f0-c825e03b6b94 · inbound

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

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Machine Unlearning of Pre-trained Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T17:06:15.046942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d4d8b0-1a9f-4c96-91b4-2a8d6a87eda1 · inbound

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

Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning Machine Unlearning of Pre-trained Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T11:27:22.723583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0a9cccc-b1fe-47aa-8187-9eedc5efa26a · inbound

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

Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation Machine Unlearning of Pre-trained Large Language Models

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:55:52.799139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5eb400d-bf8f-4da3-85e4-222d36b82e70 · inbound

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

Representation-Guided Parameter-Efficient LLM Unlearning Machine Unlearning of Pre-trained Large Language Models

Reference 173

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:06:19.369174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75bf05a8-5bf9-46b2-92e0-035fa1054d1a · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Machine Unlearning of Pre-trained Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T16:28:38.772911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2da7d04-60d0-4023-96b5-08595d23c073 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Machine Unlearning of Pre-trained Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:09:51.650131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9a10c74-4855-47d0-b5e8-e5e0e955e045 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Machine Unlearning of Pre-trained Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:35:01.412826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75e3a448-b57d-4b05-b736-a55a1bb1d0f5 · inbound

REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease Inference cites this paper.

REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease Inference Machine Unlearning of Pre-trained Large Language Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:57:09.466469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49bf3edb-f806-409f-ba7e-5444bde98409 · inbound

MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs cites this paper.

MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs Machine Unlearning of Pre-trained Large Language Models

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:58:21.783035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 100be936-5258-43c1-aedd-a0de7f6ad729 · inbound

Mechanism-Guided Selective Unlearning for RLVR-Induced Reasoning cites this paper.

Mechanism-Guided Selective Unlearning for RLVR-Induced Reasoning Machine Unlearning of Pre-trained Large Language Models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:29:15.389084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25342a96-8b25-440f-8f1c-4ded380ee91c · inbound

POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking cites this paper.

POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking Machine Unlearning of Pre-trained Large Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:27:50.560977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16cbd9f7-b654-42aa-b90e-5b5eff96a735 · inbound

Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free Certification cites this paper.

Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free Certification Machine Unlearning of Pre-trained Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T14:11:43.528504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.