Paper Citation Record · LEDGER

Exploring Memorization in Fine-tuned Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.06714.

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

pith.paper-citation-record.v1
2310.06714 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:04:55.958433Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T04:17:13.801793Z

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 456e782f-fb2c-42de-9a69-8828c499f5c4 · inbound

Too Big to Think: Capacity, Memorization, and Generalization in Pre-Trained Transformers cites this paper.

Too Big to Think: Capacity, Memorization, and Generalization in Pre-Trained Transformers Exploring Memorization in Fine-tuned Language Models

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-07T05:04:55.958433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e3f3d31-c5ce-48e3-99a8-8aa6c287938d · inbound

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs cites this paper.

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs Exploring Memorization in Fine-tuned Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T14:58:05.646289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0299e1ac-9ebe-4309-abc8-cf253a65b3cd · inbound

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation cites this paper.

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation Exploring Memorization in Fine-tuned Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T03:04:47.723726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708c41de-1141-40af-8d31-e586fad84813 · inbound

Reconstruction of Personally Identifiable Information from Supervised Finetuned Models cites this paper.

Reconstruction of Personally Identifiable Information from Supervised Finetuned Models Exploring Memorization in Fine-tuned Language Models

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-13T04:17:13.804620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.