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Paper Citation Record · LEDGER

Gradient Surgery for One-shot Unlearning on Generative Model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.04550.

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

pith.paper-citation-record.v1
2307.04550 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:04:31.368337Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T12:19:04.930544Z

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 c3a8bab5-13f3-459d-9f02-7e74d338e2d8 · inbound

Realistic Image-to-Image Machine Unlearning via Decoupling and Knowledge Retention cites this paper.

Realistic Image-to-Image Machine Unlearning via Decoupling and Knowledge Retention Gradient Surgery for One-shot Unlearning on Generative Model

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T23:04:31.368337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:04:31.368337Z digest=sha256:3a5cfb8f0d85708f276660a6c937c4a00c1cd42641e74df686ace9ce924b1b0d

Observation cdb12589-76e5-47b2-9b69-0c30966d4b64 · inbound

SEMU: Singular Value Decomposition for Efficient Machine Unlearning cites this paper.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Gradient Surgery for One-shot Unlearning on Generative Model

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-08T12:19:04.934731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.449789Z digest=sha256:922592fb15183db0536a725be34a12f24241683183d7ac25ea21f61cf62febc2