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Paper Citation Record · LEDGER

Locally Differentially Private Document Generation Using Zero Shot Prompting

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.16111.

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

pith.paper-citation-record.v1
2310.16111 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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T04:57:55.197897Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:58:54.833496Z

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 ddfb455a-f685-4435-9bfe-2945a5586f80 · inbound

ConfusionPrompt: Practical Private Inference for Online Large Language Models cites this paper.

ConfusionPrompt: Practical Private Inference for Online Large Language Models Locally Differentially Private Document Generation Using Zero Shot Prompting

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:58:54.836892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:57:55.197897Z digest=sha256:7121b14398d69485cca9ccdb5da5e320c0ad1103846fc9759f3e8b2f86ae02de

Observation 7a229e87-055e-4a07-a0bb-874d3ded5057 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Locally Differentially Private Document Generation Using Zero Shot Prompting

Reference 282

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:17:08.807589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:4b2ba25b79ae0516693318aeed3dd46f40b8bad9ad8d3d67b20564d53803a4d9