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Paper Citation Record · LEDGER

Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.12347.

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

pith.paper-citation-record.v1
2503.12347 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:40:01.594614Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:47:28.552394Z

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 4c02e0ae-ada4-4c80-bb54-2d2e87d2f367 · inbound

LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models cites this paper.

LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:40:01.594614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:40:01.594614Z digest=sha256:ad9246a4b1d690a88be4837f42feab634cfda1ce3249088467b7fd63f08e2067

Observation f07d82b3-df4a-408c-93c2-a33188c8a75c · inbound

Clustering and Median Aggregation Improve Differentially Private Inference cites this paper.

Clustering and Median Aggregation Improve Differentially Private Inference Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs

Reference 2007

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:47:28.556300Z

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=2026-08-07T10:47:28.319506Z digest=sha256:94217a7cda228e8a0284e316664abae8c5c8a3abcca1fb640ee23279ab15337e