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Paper Citation Record · LEDGER

Mitigating Memorization In Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.02159.

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

pith.paper-citation-record.v1
2410.02159 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:08:57.457970Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T22:11:18.391543Z

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 b9c2bfa4-f079-4939-8372-0a2d0c15cf8d · inbound

A Lightweight Method to Disrupt Memorized Sequences in LLM cites this paper.

A Lightweight Method to Disrupt Memorized Sequences in LLM Mitigating Memorization In Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-08T20:08:57.457970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:08:57.457970Z digest=sha256:07d55d31b1d05bbb892f5275abdf70f87a574a4c54c594686891448e3eaa37b5

Observation 74e44a47-da94-4822-a7db-00517c56f3a8 · inbound

ContextLeak: Auditing Leakage in Private In-Context Learning Methods cites this paper.

ContextLeak: Auditing Leakage in Private In-Context Learning Methods Mitigating Memorization In Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:11:18.394263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T22:10:32.892682Z digest=sha256:00dc7a25fb88066174e747938626e35c8a494b5ddab6a678e1d48e92be9f1a09