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Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:35:58.045133Z

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:962a4c67ba82b3d1c7e1e31df2aa49fd21353b3a62f2447e6a353c204d50ee8b

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:b6271e1756500bccafc3ad1dca722b7c08ee82331603a70ffd914b4056651415

Observation de84b032-9cf6-4465-914b-bffb3c3be8ec · inbound

Preserving Privacy and Utility in LLM-Based Product Recommendations cites this paper.

Preserving Privacy and Utility in LLM-Based Product Recommendations Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T04:35:58.045133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:35:58.045133Z digest=sha256:bb7b4e9c9f1ca4583ace73ef7c34f12d0815c12df4584e38ef29a8ae8c6a1b66