Pith. sign in

Paper Citation Record · LEDGER

Certified Machine Unlearning via Noisy Stochastic Gradient Descent

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.17105.

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

pith.paper-citation-record.v1
2403.17105 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:54:59.511850Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:42:29.464970Z

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 7a835c14-058b-4c19-ac17-844434e6bef0 · inbound

MUBox: A Critical Evaluation Framework of Deep Machine Unlearning cites this paper.

MUBox: A Critical Evaluation Framework of Deep Machine Unlearning Certified Machine Unlearning via Noisy Stochastic Gradient Descent

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T21:54:59.511850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:54:59.511850Z digest=sha256:d6647edfdc49605240ab8a1b5d591eadf4d25620b6ca6a2c3c5b3709d2443bab

Observation c3d8e2fb-678d-4433-ad05-034faca8499b · inbound

Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective cites this paper.

Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective Certified Machine Unlearning via Noisy Stochastic Gradient Descent

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T00:42:29.470448Z

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=2026-08-07T00:42:27.530419Z digest=sha256:d0c4f8167ff2d999a5019405354f79b187f265b236772ea0a42459c4be6b705f