Pith. sign in

Paper Citation Record · LEDGER

Reducing Privacy Risks in Online Self-Disclosures with Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.09538.

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

pith.paper-citation-record.v1
2311.09538 v3

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:43:07.955192Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:22:11.066559Z

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 cdcbbcab-a91c-4a78-9e3e-a2eda39bd5d2 · inbound

Measuring, Modeling, and Helping People Account for Privacy Risks in Online Self-Disclosures with AI cites this paper.

Measuring, Modeling, and Helping People Account for Privacy Risks in Online Self-Disclosures with AI Reducing Privacy Risks in Online Self-Disclosures with Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T11:43:07.955192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:43:07.955192Z digest=sha256:1006324edd47560c5c317e7bd162c2921b2eeecfdf04fd8f0cf208d35f0f0374

Observation 00efbe6b-36c8-4bd2-9bbe-db86fadff860 · inbound

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset cites this paper.

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset Reducing Privacy Risks in Online Self-Disclosures with Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:22:11.070341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T08:18:48.936867Z digest=sha256:89e103fb5d3c6664f26b2f46deae2b18f92637794c70731444e5b556b0a5f6db