Paper Citation Record · LEDGER

Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.12707.

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

pith.paper-citation-record.v1
2305.12707 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:27.802656Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:48:26.802717Z

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 289736ba-654a-4dbd-81e0-cf239590d622 · inbound

Large Language Models Cannot Self-Correct Reasoning Yet cites this paper.

Large Language Models Cannot Self-Correct Reasoning Yet Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:48:26.871366Z

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 2690f589-c498-40c4-8830-dc5176b48683 · inbound

PANORAMA: A synthetic PII-laced dataset for studying sensitive data memorization in LLMs cites this paper.

PANORAMA: A synthetic PII-laced dataset for studying sensitive data memorization in LLMs Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:27.802656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa2dd1db-b036-49fe-9568-774d4c6f9942 · inbound

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs cites this paper.

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage

Reference 170

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:27.114899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdd5f9ef-ac64-4c3b-8831-45e101aa809a · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage

Reference 119

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:43.930718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.