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Paper Citation Record · LEDGER

Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.05973.

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

pith.paper-citation-record.v1
2305.05973 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:21:30.159534Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T11:17:08.814850Z

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 091c167a-55b8-4b94-b4cb-1254ccffaf65 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models

Reference 284

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:17:08.817646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:cc7ef7eb9eebb2e26dbe12f3cb5b8ac940f35521151b832aeb9b855c3d5e9fe8

Observation f2e3f407-7908-4b41-8f53-f361c34a0b0d · inbound

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation cites this paper.

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T16:21:30.159534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:21:30.159534Z digest=sha256:edfd2996aad46b22c276f85fd73476da10b4f30aa652bb97e15f2b66cb0ff6cb