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Paper Citation Record · LEDGER

Knowledge Sanitization of Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 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 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:34:31.206039Z

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

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:23:32.798271Z digest=sha256:4a56dcb48f67e57cb99ceb9a4a5e2a3ac23a9da984b4b708ec001c8690aeed21

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:57:22.793546Z digest=sha256:2b64d83d8f8a578d3000ebb746d9facd35873646e7d4fce2321c745d1d6261c4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:24:10.231950Z digest=sha256:2e9f2bed72ecc5afcddd2d019cdd70bbda8833bbb5ccdb01603f0848c757cd70

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:22:32.444763Z digest=sha256:c9c954af899c958f22231ed5e40f77b5e67919d93547ed4887a07f6316290228

Observation a4ac4850-faf5-4d5e-b2d0-4b4b337ba68e · inbound

Layered Unlearning for Adversarial Relearning cites this paper.

Layered Unlearning for Adversarial Relearning Knowledge Sanitization of Large Language Models

Reference 2022

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no resolver link, observed 2026-08-15T21:34:31.206039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:34:31.206039Z digest=sha256:7243508717d3436fca3a06318b9b6fc483ca4e2395989e08cbea7080f668c6b9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:50.356703Z digest=sha256:95a8b0dcc112a7e45bbe1e0da5bafa52612b9fadc8e505250c79fd35c253108a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:59.058953Z digest=sha256:7b537547071f744383420e6488f689210674f71849f48bd63c017d84ee3dcf80

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:22:59.831196Z digest=sha256:f5a4a6df2285599fae0f59aa7d754cef313e5bd5f71f4c34b3685dc2f8ed2de3

Observation 872bd077-fb37-430a-84db-4e472e039199 · inbound

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

Learning-Time Encoding Shapes Unlearning in LLMs Knowledge Sanitization of Large Language Models

Reference 48

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no resolver link, observed 2026-08-15T19:50:54.679692Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:50:54.679692Z digest=sha256:51932bbdd224903e7cad8235e2ed67f747639c2138d575e6b79e7c5db7c66c62

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:23:09.122942Z digest=sha256:4ef387f711a769bd68bf06f43b88c64fdaebd7af0d6ddca72208981b2962762e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:26:45.360466Z digest=sha256:eaba8275a5cae86e7b98d2a5126bbf5e46e5911e01e13c4f03d607f3165121f7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T01:09:42.042371Z digest=sha256:f905ead832cf6690a931821279596fc36e48821b757f5b976eb19642a8c5bac8

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:48:02.597724Z digest=sha256:c0bfb76b920415566c3e78f1a7872f48042d9671f7bd3133014a98066a87a20e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:27:22.736643Z digest=sha256:f763c3a25c0c3b3fc1f6b73a50d68bb37758390161d91003479579d0d7e1e8a4

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T06:01:46.885030Z digest=sha256:b3b9ddddda0f5881f2e1d7c53464ce7dd1da9731edd7e1b4b6057de670173981

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T18:49:53.432959Z digest=sha256:e45f12112a39c995dfb434f196da33e454f1b952f39328a12e7eb795431fa5c5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:49:51.021741Z digest=sha256:98a74e728fe458d3be2cbcdb2a16e2df9d56da19460f49f39afe207676552619

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T07:56:23.745294Z digest=sha256:221f5dbf2621524f841c3392dcb3de42c058d495eb893fa3dd7eafdd01a0f1fc

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:c92817597405b79e5e1c26b6434ef56aed46a038e1015c8c80718f9f0039dce6

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:18:56.680969Z digest=sha256:0e0c92d434f182642d89308b5f545e6af6cc8c5d53148bfb6d2b7235e2748f7e