Paper Citation Record · LEDGER

Knowledge Sanitization of Large Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2309.11852.

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

pith.paper-citation-record.v1
2309.11852 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:23:32.798271Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:03:14.554963Z

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 6556244e-9214-4f05-b55b-fb71021358cc · inbound

Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts cites this paper.

Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts Knowledge Sanitization of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:23:32.798271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acb9eb0d-1e5c-4db0-8778-a26398335301 · 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? Knowledge Sanitization of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:22.793546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ef3bb2e-b1a0-4c28-a7bc-f663c36e59ba · inbound

Open Problems in Machine Unlearning for AI Safety cites this paper.

Open Problems in Machine Unlearning for AI Safety Knowledge Sanitization of Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T21:24:10.231950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edcc5c7d-8010-4b88-b130-cfc2943327fe · inbound

Towards Safer Chatbots: Automated Policy Compliance Evaluation of Custom GPTs cites this paper.

Towards Safer Chatbots: Automated Policy Compliance Evaluation of Custom GPTs Knowledge Sanitization of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T15:22:32.444763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f9ad620-70be-4810-ba75-5ac03d734d9f · inbound

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

SoK: Machine Unlearning for Large Language Models Knowledge Sanitization of Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:50.356703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa180ff8-3e4c-4ad7-ac18-262db154ee96 · 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 Knowledge Sanitization of Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:59.058953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d02afec1-a00d-40bb-8752-45c832522f89 · inbound

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

UCD: Unlearning in LLMs via Contrastive Decoding Knowledge Sanitization of Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:59.831196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 166351fe-48a7-49b6-a850-bbd55de4b05c · inbound

A Survey on Model Extraction Attacks and Defenses for Large Language Models cites this paper.

A Survey on Model Extraction Attacks and Defenses for Large Language Models Knowledge Sanitization of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:09.122942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7604c4c3-dcb1-479c-8300-7b181c3fac0e · inbound

Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization cites this paper.

Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization Knowledge Sanitization of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:26:45.360466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81bfa94b-2db3-4b86-b93f-e8a737b52955 · inbound

Aligning Language Models with Real-time Knowledge Editing cites this paper.

Aligning Language Models with Real-time Knowledge Editing Knowledge Sanitization of Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:11:57.342858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e9fef472-d2b6-4f4c-b95b-8b5ce9ec8d45 · inbound

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

Towards Evaluation for Real-World LLM Unlearning Knowledge Sanitization of Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T05:48:02.597724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aaa2258-65ea-48e9-9abe-89fa5edc6385 · inbound

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

Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning Knowledge Sanitization of Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T11:27:22.736643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aaf0212-4fdf-4efd-8785-ab54f06ccff8 · inbound

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

Representation-Guided Parameter-Efficient LLM Unlearning Knowledge Sanitization of Large Language Models

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:06:19.255202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 600d2fe0-e6f2-4e33-b3b0-89c146fb8310 · inbound

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

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning Knowledge Sanitization of Large Language Models

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:10:42.201860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 179ae6b0-0053-44f4-843b-458c02a0741f · inbound

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

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning Knowledge Sanitization of Large Language Models

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:50:51.154897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 41e26a3c-3497-45ee-8dfd-87a40a23848b · inbound

Towards Localized and Disentangled Knowledge Editing for Multimodal Large Language Models cites this paper.

Towards Localized and Disentangled Knowledge Editing for Multimodal Large Language Models Knowledge Sanitization of Large Language Models

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:03:14.556945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 14ae980e-1f88-4e6e-a522-df552bb75eb6 · inbound

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem cites this paper.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Knowledge Sanitization of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T04:30:23.082717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4600119d-1916-40df-a0d3-f895d55ac82a · inbound

PRMU: A Corpus-Free Benchmark for Person-Centric Knowledge Unlearning in Multimodal Large Language Models cites this paper.

PRMU: A Corpus-Free Benchmark for Person-Centric Knowledge Unlearning in Multimodal Large Language Models Knowledge Sanitization of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:18:56.680969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.