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Paper Citation Record · LEDGER

Backpropagation Clipping for Deep Learning with Differential Privacy

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.05089.

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

pith.paper-citation-record.v1
2202.05089 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:35:55.928349Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T19:55:32.509666Z

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 3d188e8c-1bb2-4515-b2bc-f94eb4458692 · inbound

Relative Position Matters: Trajectory Prediction and Planning with Polar Representation cites this paper.

Relative Position Matters: Trajectory Prediction and Planning with Polar Representation Backpropagation Clipping for Deep Learning with Differential Privacy

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:55:32.515863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T19:55:31.114497Z digest=sha256:37230c55616a773e2dca3d493f59f332515b014a2e5c072bfb850a24cd8acdc0

Observation c44c4386-fe65-4aa6-b910-a4d0315d3606 · inbound

Synthesizing Probabilistic Saturating Counters with Differentially Private Formal Guarantees cites this paper.

Synthesizing Probabilistic Saturating Counters with Differentially Private Formal Guarantees Backpropagation Clipping for Deep Learning with Differential Privacy

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T14:35:55.928349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:35:55.928349Z digest=sha256:288a685f9e607254068e7d20b9d3b0e4484f4a0f8aa46f71b811d8f2cf16f6c2