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Paper Citation Record · LEDGER

A More Practical Approach to Machine Unlearning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.09391.

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

pith.paper-citation-record.v1
2406.09391 v1

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:27:37.727771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T18:11:42.871922Z

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 fb0c41cd-55c5-46a1-91a9-d91cd821d78a · inbound

Multi-Objective Large Language Model Unlearning cites this paper.

Multi-Objective Large Language Model Unlearning A More Practical Approach to Machine Unlearning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T23:27:37.727771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:27:37.727771Z digest=sha256:d85579bf7ebf259ba8014e51ebbe378705f79a855c39d426e29032a19288e918

Observation a9d0ed01-0c14-4126-abce-7485ffe830a1 · inbound

From Membership-Privacy Leakage to Quantum Machine Unlearning cites this paper.

From Membership-Privacy Leakage to Quantum Machine Unlearning A More Practical Approach to Machine Unlearning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:11:42.874271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T18:08:00.127348Z digest=sha256:73acc4253dbc0784ab6f013b7b88996bc76d47e2dd28df544d6ae507b8d24022