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Paper Citation Record · LEDGER

The Discrete Gaussian for Differential Privacy

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2004.00010.

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

pith.paper-citation-record.v1
2004.00010 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:52:59.008305Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T17:33:45.387309Z

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 743af97c-ba2d-4f46-b6a9-71457f4608bf · inbound

Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer from It? cites this paper.

Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer from It? The Discrete Gaussian for Differential Privacy

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T00:52:59.008305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:52:59.008305Z digest=sha256:486ac0714f55c0de17509e46bbbaf0ad029bb741d82b75ece989a87669ddb03c

Observation ed0e020b-8553-47c7-b8fc-99d89a49bda3 · inbound

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy cites this paper.

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy The Discrete Gaussian for Differential Privacy

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:58:13.059320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T08:53:13.427364Z digest=sha256:7c4ae3c843cd7736759a94e855ae9f2001a0a1052ba4cb39381dab9f3e5effd2

Observation c4772f14-16e1-4049-b56b-3b481fd3cca7 · inbound

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy cites this paper.

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy The Discrete Gaussian for Differential Privacy

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:53:53.600565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T00:50:11.410735Z digest=sha256:ae45c3cc88a6a26f9ed74f6f8ee53a06f1790491660953596e0101041d05b095

Observation 3407cd81-6a4f-4f0f-9893-dd91ddc1a832 · inbound

Landseer: Exploring the Machine Learning Defense Landscape cites this paper.

Landseer: Exploring the Machine Learning Defense Landscape The Discrete Gaussian for Differential Privacy

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:33:45.388854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T17:27:29.241219Z digest=sha256:245987c616bb01ef31dfc9ee6f9f24121075a417fdac60f993e9593fc22e6e45