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Paper Citation Record · LEDGER

IMU: Influence-guided 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:2508.01620.

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

pith.paper-citation-record.v1
2508.01620 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:16:47.470412Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T14:16:48.055485Z

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 2ef87a5b-9b6b-4af6-bba7-5d33e0e8033d · inbound

MUNBa: Machine Unlearning via Nash Bargaining cites this paper.

MUNBa: Machine Unlearning via Nash Bargaining IMU: Influence-guided Machine Unlearning

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:16:48.060707Z

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=2026-08-12T14:16:47.470412Z digest=sha256:bddd9a0d7125b561c64d1bf1bc7ada4b1ea28c84fec623ac62fd301b987bb4a5

Observation b8434a79-0da1-4053-92f8-3f669f3100e2 · inbound

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats cites this paper.

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats IMU: Influence-guided Machine Unlearning

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-02T10:25:19.836437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:25:19.836437Z digest=sha256:f7111a54bfa62257e10050e3f5d5e39b88d47a0c4e80a4301491cd2ba7e5c2f9