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Paper Citation Record · LEDGER

Privacy Leakage in Text Classification: A Data Extraction Approach

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.04591.

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

pith.paper-citation-record.v1
2206.04591 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:54:07.201722Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 53864ef1-c3f5-44a5-be90-87abf4de3a9c · inbound

Towards Privacy-aware Mental Health AI Models: Advances, Challenges, and Opportunities cites this paper.

Towards Privacy-aware Mental Health AI Models: Advances, Challenges, and Opportunities Privacy Leakage in Text Classification: A Data Extraction Approach

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-09T18:58:35.217702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T18:58:31.803134Z digest=sha256:9c5c092bbcf4eee6124803254538f129614c06594b2c5be673a354a16c7e5fbe

Observation 09a4d280-d631-4e34-a4be-7cb1f53a6c98 · inbound

Improved Algorithms for Differentially Private Language Model Alignment cites this paper.

Improved Algorithms for Differentially Private Language Model Alignment Privacy Leakage in Text Classification: A Data Extraction Approach

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-15T21:54:07.201722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:54:07.201722Z digest=sha256:c33dbd03af41b189f817dd293844a68e6f4d92bbb70fdc503cc89ff56118a816