Paper Citation Record · LEDGER

Training Data Leakage Analysis in Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2101.05405.

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

pith.paper-citation-record.v1
2101.05405 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:39:04.528843Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:18:22.533049Z

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 23a98c24-53b4-4b31-8120-9ff7af9790ea · inbound

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription cites this paper.

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription Training Data Leakage Analysis in Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T11:34:08.351213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f712e05-036e-4e1d-a116-a46589878d2c · inbound

DMRL: Data- and Model-aware Reward Learning for Data Extraction cites this paper.

DMRL: Data- and Model-aware Reward Learning for Data Extraction Training Data Leakage Analysis in Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T23:39:04.528843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff8c600c-0673-41e4-918d-fdc6bb831460 · inbound

Quantifying Cross-Modality Memorization in Vision-Language Models cites this paper.

Quantifying Cross-Modality Memorization in Vision-Language Models Training Data Leakage Analysis in Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:48.763185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 575e7f7a-87d5-4bcf-bb47-3bcd111e4d83 · inbound

PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation cites this paper.

PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation Training Data Leakage Analysis in Language Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T11:29:10.233214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 651ec585-409d-4c33-8c7d-e086f030a40e · inbound

All Leaks Count, Some Count More: Interpretable Temporal Contamination Detection and Mitigation in LLM Backtesting cites this paper.

All Leaks Count, Some Count More: Interpretable Temporal Contamination Detection and Mitigation in LLM Backtesting Training Data Leakage Analysis in Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T22:21:35.173676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc68cf61-ebda-47de-a6e4-53f6fbe4f8fe · inbound

LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning cites this paper.

LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning Training Data Leakage Analysis in Language Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:18:22.534470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.