Paper Citation Record · LEDGER

Measuring Forgetting of Memorized Training Examples

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2207.00099.

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

pith.paper-citation-record.v1
2207.00099 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:46:10.097075Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T21:10:09.130679Z

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 6d78239e-2f2f-4093-9c75-d5bcd3c57040 · inbound

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Measuring Forgetting of Memorized Training Examples

Reference 183

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T17:45:17.857530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 00eddf17-d7ab-4bd5-9e88-fc36d926e132 · inbound

PaLM 2 Technical Report cites this paper.

PaLM 2 Technical Report Measuring Forgetting of Memorized Training Examples

Reference 163

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T11:59:27.079286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3462358-bb7a-408f-a453-1666fa2d4152 · inbound

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Measuring Forgetting of Memorized Training Examples

Reference 183

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:30:45.003474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f2014641-a06c-44c2-b04e-9ae8c43b7e27 · inbound

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection cites this paper.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Measuring Forgetting of Memorized Training Examples

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T14:15:11.051443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 11d60ce6-0088-4547-bd41-1511f0853261 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Measuring Forgetting of Memorized Training Examples

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.499355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ce438300-d9a4-4d31-b98a-0eb2f309df2c · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Measuring Forgetting of Memorized Training Examples

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.097075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0f6c9ba-01fa-4a9c-a6bc-d728ebb78d84 · inbound

Rethinking Memorization Measures and their Implications in Large Language Models cites this paper.

Rethinking Memorization Measures and their Implications in Large Language Models Measuring Forgetting of Memorized Training Examples

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T15:54:34.984512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd695d9c-6181-4fa0-8a1b-277f7590a41d · inbound

Forgetting is Everywhere cites this paper.

Forgetting is Everywhere Measuring Forgetting of Memorized Training Examples

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T23:42:03.965439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce0260a-923c-47dc-822e-c3dba9ca1aeb · inbound

Towards Reliable Testing of Machine Unlearning cites this paper.

Towards Reliable Testing of Machine Unlearning Measuring Forgetting of Memorized Training Examples

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:18.324596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 75507299-eb8a-4078-83fb-a22a249ceb3b · inbound

Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less cites this paper.

Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less Measuring Forgetting of Memorized Training Examples

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:08.593021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0b459912-896e-4b75-b42b-c12a349be940 · inbound

Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining cites this paper.

Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining Measuring Forgetting of Memorized Training Examples

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T21:10:09.132368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.