Paper Citation Record · LEDGER

Revisiting the Past: Data Unlearning with Model State History

As of 6 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.20941.

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

pith.paper-citation-record.v1
2506.20941 v3

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T08:12:19.391973Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact24
verified fuzzy10
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb374fda-beb5-4161-b188-307f20dde8b6 · outbound

This paper cites GPT-4 Technical Report.

Revisiting the Past: Data Unlearning with Model State History GPT-4 Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:13:01.563914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2a3e9d3b-8608-4572-84a0-3fa052071026 · outbound

This paper cites To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models.

Revisiting the Past: Data Unlearning with Model State History To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.661830Z

Source-reported events for the cited work

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Observation 9967f0ca-c2e0-45fe-aa64-a82c3c6e0d01 · outbound

This paper cites Leace: Perfect linear concept erasure in closed form.

Revisiting the Past: Data Unlearning with Model State History Leace: Perfect linear concept erasure in closed form

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:13:02.619586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 792dbc3d-cf5f-483a-a822-eb62507fcf63 · outbound

This paper cites Digital Forgetting in Large Language Models: A Survey of Unlearning Methods.

Revisiting the Past: Data Unlearning with Model State History Digital Forgetting in Large Language Models: A Survey of Unlearning Methods

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.620783Z

Source-reported events for the cited work

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Observation 9e3bcdd7-6770-430e-b62c-f1bcf1c65e3b · outbound

This paper cites Machine unlearning.

Revisiting the Past: Data Unlearning with Model State History Machine unlearning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:13:02.615805Z

Source-reported events for the cited work

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Observation bb7a8d79-f3f4-46cd-a595-6432af343883 · outbound

This paper cites The right to be forgotten and the informational autonomy in the digital environment.

Revisiting the Past: Data Unlearning with Model State History The right to be forgotten and the informational autonomy in the digital environment

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:13:02.611428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e0ed7f3a-ee56-40f0-8f66-104ba720c8f5 · outbound

This paper cites Extracting training data from large language models.

Revisiting the Past: Data Unlearning with Model State History Extracting training data from large language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:13:02.623208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

This paper cites Unlearn What You Want to Forget: Efficient Unlearning for LLMs.

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

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Observation 3a9b28ad-500f-447c-92b3-7401a64d5bac · outbound

This paper cites Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning.

Revisiting the Past: Data Unlearning with Model State History Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.630624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 014f099a-30c4-4df9-b2af-363093ed5634 · outbound

This paper cites OpenUnlearning: A unified framework for llm unlearning benchmarks.

Revisiting the Past: Data Unlearning with Model State History OpenUnlearning: A unified framework for llm unlearning benchmarks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:13:02.607845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2b78565d-6621-447c-aabc-60ef644dbf0a · outbound

This paper cites The Llama 3 Herd of Models.

Revisiting the Past: Data Unlearning with Model State History The Llama 3 Herd of Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:13:01.626058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 295d9b49-6d0f-464a-a8b9-7a2a4f3e1cf2 · outbound

This paper cites Who's Harry Potter? Approximate Unlearning in LLMs.

Revisiting the Past: Data Unlearning with Model State History Who's Harry Potter? Approximate Unlearning in LLMs

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.704958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0448b18e-ba09-418b-8e34-c5d07c2e3a16 · outbound

This paper cites Simplicity prevails: Rethinking negative preference optimization for llm unlearning.

Revisiting the Past: Data Unlearning with Model State History Simplicity prevails: Rethinking negative preference optimization for llm unlearning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.593242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4d6448a2-9f6e-4372-8405-8ed04cf5dfa0 · outbound

This paper cites Erasing concepts from diffusion models.

Revisiting the Past: Data Unlearning with Model State History Erasing concepts from diffusion models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:13:02.603948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 04c79fae-2cf2-4e09-a0ba-7f207f372708 · outbound

This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks.

Revisiting the Past: Data Unlearning with Model State History Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:13:02.600380Z

Source-reported events for the cited work

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Observation 40c6ebf8-1c7b-4cdc-bfbc-1c2e9bae402e · outbound

This paper cites Time Travel in LLMs: Tracing Data Contamination in Large Language Models.

Revisiting the Past: Data Unlearning with Model State History Time Travel in LLMs: Tracing Data Contamination in Large Language Models

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:13:01.570612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4037f259-9012-4f6c-8ef1-6f4c807cc139 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

Revisiting the Past: Data Unlearning with Model State History OLMo: Accelerating the Science of Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:13:01.650886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 49ae72f7-cd0b-41d1-a72d-73218133e299 · outbound

This paper cites Intrinsic Test of Unlearning Using Parametric Knowledge Traces.

Revisiting the Past: Data Unlearning with Model State History Intrinsic Test of Unlearning Using Parametric Knowledge Traces

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.670645Z

Source-reported events for the cited work

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Observation bdb06a2d-b207-4618-bbbc-8cd13c8c821e · outbound

This paper cites Are Large Pre-Trained Language Models Leaking Your Personal Information?.

Revisiting the Past: Data Unlearning with Model State History Are Large Pre-Trained Language Models Leaking Your Personal Information?

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.675295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e6fda5d0-a850-4891-95ee-71a3b678cce7 · outbound

This paper cites Editing Models with Task Arithmetic.

Revisiting the Past: Data Unlearning with Model State History Editing Models with Task Arithmetic

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:13:01.613338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1b990bf5-3bcf-4400-9f9c-b9c1ef8b31be · outbound

This paper cites Knowledge Unlearning for Mitigating Privacy Risks in Language Models.

Revisiting the Past: Data Unlearning with Model State History Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.656556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5ae756d6-c39a-4d98-97c7-e47b64966d2e · outbound

This paper cites SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning.

Revisiting the Past: Data Unlearning with Model State History SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.646416Z

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Observation 352c0f47-50cc-4305-b6bb-29ecc78f6602 · outbound

This paper cites RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models.

Revisiting the Past: Data Unlearning with Model State History RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.698248Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9ca11193-9b3d-46a3-a84a-3088a9f6945f · outbound

This paper cites Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs.

Revisiting the Past: Data Unlearning with Model State History Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.641022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 09b53d07-0ac4-4eb4-b0a6-4b97e2992ced · outbound

This paper cites an unresolved cited work.

Revisiting the Past: Data Unlearning with Model State History Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-19T08:13:02.596555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0dc601a3-7197-4e3f-8efe-39e7f3ebffce · outbound

This paper cites The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

Revisiting the Past: Data Unlearning with Model State History The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:13:01.679922Z

Source-reported events for the cited work

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Observation 74f1f3e8-a522-4966-8905-28ee7818fb17 · outbound

This paper cites TOFU: A Task of Fictitious Unlearning for LLMs.

Revisiting the Past: Data Unlearning with Model State History TOFU: A Task of Fictitious Unlearning for LLMs

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:13:01.605812Z

Source-reported events for the cited work

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Observation 7bf7552f-9942-4d01-a150-f1c9f831e1ac · outbound

This paper cites 2 OLMo 2 Furious.

Revisiting the Past: Data Unlearning with Model State History 2 OLMo 2 Furious

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:13:01.666132Z

Source-reported events for the cited work

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Observation 39cef009-49a0-4b58-abf1-a20a5e56bcdd · outbound

This paper cites Privacy risks of general-purpose language models.

Revisiting the Past: Data Unlearning with Model State History Privacy risks of general-purpose language models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:13:02.592278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9ddcd2d9-da61-4fd5-9034-6ade2e73339a · outbound

This paper cites The Frontier of Data Erasure: Machine Unlearning for Large Language Models.

Revisiting the Past: Data Unlearning with Model State History The Frontier of Data Erasure: Machine Unlearning for Large Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.693219Z

Source-reported events for the cited work

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Observation 25d91ec8-298f-4e90-b35c-d63101b09bd9 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Revisiting the Past: Data Unlearning with Model State History Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:13:02.588311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2751e1d8-b6ab-4dff-bd56-5e4dc0812f0b · outbound

This paper cites RESTOR: Knowledge Recovery in Machine Unlearning.

Revisiting the Past: Data Unlearning with Model State History RESTOR: Knowledge Recovery in Machine Unlearning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.635615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5424afb6-2c5a-4f12-853f-4b303c3e455c · outbound

This paper cites MUSE: Machine Unlearning Six-Way Evaluation for Language Models.

Revisiting the Past: Data Unlearning with Model State History MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:13:01.585580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0f2e4d1a-d9d8-4be6-8a1a-1e59aa7be0af · outbound

This paper cites Erasing without remembering: Safeguarding knowledge forgetting in large language models.

Revisiting the Past: Data Unlearning with Model State History Erasing without remembering: Safeguarding knowledge forgetting in large language models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.688942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b0a2f1d0-8af9-450d-980a-1d7755f17fd1 · outbound

This paper cites Jailbroken: How does llm safety training fail? Advances in Neural Information Processing Systems , 36.

Revisiting the Past: Data Unlearning with Model State History Jailbroken: How does llm safety training fail? Advances in Neural Information Processing Systems , 36

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:13:02.582773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

This paper cites Large Language Model Unlearning.

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 2026-08-06T06:34:29.942622+00:00.

Observation 2c79e787-8912-4931-92df-86e576d6e78e · outbound

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

Revisiting the Past: Data Unlearning with Model State History Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:13:01.598966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.