Paper Citation Record · LEDGER

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models

As of 8 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2508.14062.

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

pith.paper-citation-record.v1
2508.14062 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:16:20.652967Z

measured 20 of 20 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 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

20 of 20 outbound references displayed

verified exact0
verified fuzzy3
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 221b97f3-82f7-4f9c-a5b2-7e3d1ba2fec2 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:16:20.858819Z

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 256eb1f4-f9a9-4682-99a1-57f2da817d7f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T22:16:20.584508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93b3ef15-adb6-4b76-bc93-16db59e74c5a · outbound

This paper cites an unresolved cited work.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:16:20.850940Z

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 f822d152-58df-4e8f-8dc4-0f7a79a19080 · outbound

This paper cites an unresolved cited work.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:16:20.842809Z

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 4b6e5aab-38d5-4b80-8fe6-9120f0a38be7 · outbound

This paper cites an unresolved cited work.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:16:20.835216Z

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 1b561331-7d16-450d-94be-2deb40f756d2 · outbound

This paper cites an unresolved cited work.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T22:16:20.597382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 299a7b00-9f2f-4d15-a239-fc6a93ca9778 · outbound

This paper cites B., Mironov, I., Talwar, K., and Zhang, L.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models B., Mironov, I., Talwar, K., and Zhang, L

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T22:16:20.600551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 974f5df4-780e-47bb-b943-4b4eac99df70 · outbound

This paper cites A., Kamath, G., Kulkarni, J., Lee, Y.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models A., Kamath, G., Kulkarni, J., Lee, Y

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:16:20.812213Z

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 1de3e908-775a-466b-936f-895cde76e91c · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Scalable Extraction of Training Data from (Production) Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T22:16:20.610053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2478f5c8-f823-43d8-a942-fa2789db7faf · outbound

This paper cites an unresolved cited work.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:16:20.801086Z

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 4f0ed442-6935-450a-a8f5-6898d5793ee7 · outbound

This paper cites an unresolved cited work.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:16:20.791892Z

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 1d65d8db-c5a9-4d91-b00b-9215069098c4 · outbound

This paper cites an unresolved cited work.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:16:20.780093Z

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 ec4ccd34-7cf0-4cdb-a7f9-c50b9c1dbfd7 · outbound

This paper cites an unresolved cited work.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:16:20.769324Z

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 b4f9c85e-a6bf-4f33-beb8-9d5ea52c5544 · outbound

This paper cites an unresolved cited work.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:16:20.758379Z

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 dede76d7-26b6-4159-91ab-c86865eb0284 · outbound

This paper cites Dataset Inference: Ownership Resolution in Machine Learning.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Dataset Inference: Ownership Resolution in Machine Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T22:16:20.633994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c55b956-390d-40fe-bfc6-a8b933068864 · outbound

This paper cites an unresolved cited work.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:16:20.749042Z

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 2eec25ce-e042-4340-838a-1176419132d4 · outbound

This paper cites Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T22:16:20.640973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eb36ad8-2bb4-4799-b9ac-72fb14290274 · outbound

This paper cites S., Hou, L., Wu, Y., Wang, X., Yu, H., and Han, J.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models S., Hou, L., Wu, Y., Wang, X., Yu, H., and Han, J

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:16:20.738329Z

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 8fe89b00-3c66-4e2e-acbc-25926faf461b · outbound

This paper cites an unresolved cited work.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:16:20.727810Z

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 a93417a2-cfe6-4ee8-8e5a-bd123f357c41 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models On the Opportunities and Risks of Foundation Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T22:16:20.652967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.