Paper Citation Record · LEDGER

Sequence-Level Leakage Risk of Training Data in Large Language Models

As of 20 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 4 inbound Pith citation observations for arXiv:2412.11302.

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

pith.paper-citation-record.v1
2412.11302 v3

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:09:50.778525Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:21:33.766535Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T14:15:55.154579Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy10
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29208af9-e6e5-4574-b99e-dc4c3f738315 · outbound

This paper cites write newline.

Sequence-Level Leakage Risk of Training Data in Large Language Models write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.628972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32ce6619-ad7d-4c6c-8e5a-09ba5d0d2aef · outbound

This paper cites C hat M istral.

Sequence-Level Leakage Risk of Training Data in Large Language Models C hat M istral

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:09:51.229009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5730a92f-fd00-4696-a31c-700fc446bc91 · outbound

This paper cites an unresolved cited work.

Sequence-Level Leakage Risk of Training Data in Large Language Models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:09:51.210913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7c518e0-fe5a-472e-967b-bf9fd6590712 · outbound

This paper cites Emergent and predictable memorization in large language models.

Sequence-Level Leakage Risk of Training Data in Large Language Models Emergent and predictable memorization in large language models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:09:51.192501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1dd711d-cdaf-457f-a00f-c2b6314803ac · outbound

This paper cites The secret sharer: Evaluating and testing unintended memorization in neural networks.

Sequence-Level Leakage Risk of Training Data in Large Language Models The secret sharer: Evaluating and testing unintended memorization in neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:09:51.174257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5efedde3-1c84-46c0-9852-0adf52c583c8 · outbound

This paper cites Extracting training data from large language models.

Sequence-Level Leakage Risk of Training Data in Large Language Models Extracting training data from large language models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.667920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15512697-6a4c-4017-8c1d-4a218d5fba9f · outbound

This paper cites Quantifying memorization across neural language models.

Sequence-Level Leakage Risk of Training Data in Large Language Models Quantifying memorization across neural language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:09:51.142214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6143e59-c360-4aa8-bc25-f967fad68b7e · outbound

This paper cites an unresolved cited work.

Sequence-Level Leakage Risk of Training Data in Large Language Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:09:51.124399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0ef7962d-0d84-4b6b-81ee-79404630f759 · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

Sequence-Level Leakage Risk of Training Data in Large Language Models Do Membership Inference Attacks Work on Large Language Models?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.684310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19dffadc-0e1b-4dd5-aedb-ca58187dda87 · outbound

This paper cites Does learning require memorization? a short tale about a long tail.

Sequence-Level Leakage Risk of Training Data in Large Language Models Does learning require memorization? a short tale about a long tail

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.689646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 456f9785-a1c2-4e51-8637-679c58bb63e2 · outbound

This paper cites SoK: Memorization in General-Purpose Large Language Models.

Sequence-Level Leakage Risk of Training Data in Large Language Models SoK: Memorization in General-Purpose Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.694182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbfb7957-6198-4f91-ba7f-3126fd49aa71 · outbound

This paper cites Measuring memorization in language models via probabilistic extraction.

Sequence-Level Leakage Risk of Training Data in Large Language Models Measuring memorization in language models via probabilistic extraction

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.701547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 103ef7f8-7d4b-4583-a9cd-b654093eaf37 · outbound

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

Sequence-Level Leakage Risk of Training Data in Large Language Models Are Large Pre-Trained Language Models Leaking Your Personal Information?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.706508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04733d41-86de-4b99-83d2-eb337497d844 · outbound

This paper cites Preventing generation of verbatim memorization in language models gives a false sense of privacy.

Sequence-Level Leakage Risk of Training Data in Large Language Models Preventing generation of verbatim memorization in language models gives a false sense of privacy

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.712445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d85a289-75ec-4ecb-9055-5b354f654f5f · outbound

This paper cites Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs.

Sequence-Level Leakage Risk of Training Data in Large Language Models Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.716503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a29ef7da-327e-4151-bb9a-c1f292fdf8d5 · outbound

This paper cites an unresolved cited work.

Sequence-Level Leakage Risk of Training Data in Large Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:09:51.093483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0da8c77d-9d8c-405f-ab62-41e40e91e513 · outbound

This paper cites Scaling Laws for Fact Memorization of Large Language Models.

Sequence-Level Leakage Risk of Training Data in Large Language Models Scaling Laws for Fact Memorization of Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.727089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f3b5048-3899-46ac-bfcc-fd7a77b5d186 · outbound

This paper cites Analyzing leakage of personally identifiable information in language models.

Sequence-Level Leakage Risk of Training Data in Large Language Models Analyzing leakage of personally identifiable information in language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:09:51.065094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d35d609d-137e-4575-82f1-95b787f2ed40 · outbound

This paper cites C., Sedghi, H., Lipton, Z.

Sequence-Level Leakage Risk of Training Data in Large Language Models C., Sedghi, H., Lipton, Z

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:09:51.044310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3ef6e066-11d8-48ff-94d2-1890b7955b73 · outbound

This paper cites C hat G P T.

Sequence-Level Leakage Risk of Training Data in Large Language Models C hat G P T

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:09:51.027772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d60a4bf-05fb-47e4-9039-eed3acce549e · outbound

This paper cites Detecting pretraining data from large language models.

Sequence-Level Leakage Risk of Training Data in Large Language Models Detecting pretraining data from large language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:09:51.007931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 64e3bba5-c49b-4144-a6f6-2dc091111e60 · outbound

This paper cites Memorization without overfitting: Analyzing the training dynamics of large language models.

Sequence-Level Leakage Risk of Training Data in Large Language Models Memorization without overfitting: Analyzing the training dynamics of large language models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.752799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef3377b9-db58-44d2-8090-b6094a1efae0 · outbound

This paper cites Bag of tricks for training data extraction from language models.

Sequence-Level Leakage Risk of Training Data in Large Language Models Bag of tricks for training data extraction from language models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:09:50.975569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d474e47b-2bdc-41a0-b8f7-cd1b399c2275 · outbound

This paper cites @esa (Ref.

Sequence-Level Leakage Risk of Training Data in Large Language Models @esa (Ref

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.765890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 659ac40c-5641-4597-8fa8-cc197dce25ec · outbound

This paper cites an unresolved cited work.

Sequence-Level Leakage Risk of Training Data in Large Language Models Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:50.771333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab1648f5-ca93-4ec8-9a80-05d74c8ea4bd · outbound

This paper cites More recently, duan2024membership,shi2023detecting also explore such Membership Inference Attacks on LLMs.

Sequence-Level Leakage Risk of Training Data in Large Language Models More recently, duan2024membership,shi2023detecting also explore such Membership Inference Attacks on LLMs

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:09:50.931597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 1bca4c09-851c-4338-ba73-ae22ed7760f4 · inbound

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests cites this paper.

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests Sequence-Level Leakage Risk of Training Data in Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:33.766535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3451d5e0-9f5a-4f23-87fe-29db27f6e25f · inbound

Security Considerations for Multi-agent Systems cites this paper.

Security Considerations for Multi-agent Systems Sequence-Level Leakage Risk of Training Data in Large Language Models

Reference 241

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:15:55.156674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 300dba33-ed9d-4f03-b3b9-860171231052 · inbound

Implicit Reasoning Steering via Concept Chaining cites this paper.

Implicit Reasoning Steering via Concept Chaining Sequence-Level Leakage Risk of Training Data in Large Language Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-02T02:44:26.834349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b4187d-9b88-4266-ab9e-01d5497c9ee6 · inbound

Implicit Reasoning Steering via Concept Chaining cites this paper.

Implicit Reasoning Steering via Concept Chaining Sequence-Level Leakage Risk of Training Data in Large Language Models

Reference 167

Resolution: unresolved; no resolver link, observed 2026-08-02T02:44:35.811486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.