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Paper Citation Record · LEDGER

No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.14987.

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

pith.paper-citation-record.v1
2209.14987 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:13:13.179296Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:44:43.988221Z

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 4b73938c-df81-4ef4-b3fb-4945283cd151 · inbound

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track cites this paper.

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:13:13.179296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:13:13.179296Z digest=sha256:2701d02eb1a94bc12283a43960c65ad40f96e604e90808ee2af885165e2b2671

Observation 3d3fb70b-8dc7-42ca-9dba-9e16432dc828 · inbound

Dataset Distillation via Vision-Language Category Prototype cites this paper.

Dataset Distillation via Vision-Language Category Prototype No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:44:44.064952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:44:39.873018Z digest=sha256:97d0cfe9baffb42d77e676797d10a9a37d9ae9adc2105122b2916763b319f7ff

Observation a04fc794-f577-4115-b29f-660610762687 · inbound

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training cites this paper.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T04:57:33.724324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:57:33.724324Z digest=sha256:233cbbc843c03590ebb16bce69ae000ab84ad05a0db06b8c2bfda4ada128a5fb