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Paper Citation Record · LEDGER

Measuring memorization in language models via probabilistic extraction

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.19482.

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

pith.paper-citation-record.v1
2410.19482 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:09:50.701547Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:49:37.851926Z

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 bbfb7957-6198-4f91-ba7f-3126fd49aa71 · inbound

Sequence-Level Leakage Risk of Training Data in Large Language Models cites this paper.

Sequence-Level Leakage Risk of Training Data in Large Language Models Measuring memorization in language models via probabilistic extraction

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T15:09:50.701547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:09:50.701547Z digest=sha256:0dc161b37424d1d93bd6711e1b52f15799410b107ebe955311760d3f4522339a

Observation b186531b-ee77-4e72-8c15-ec346697ed3e · inbound

Memorization in Language Models through the Lens of Intrinsic Dimension cites this paper.

Memorization in Language Models through the Lens of Intrinsic Dimension Measuring memorization in language models via probabilistic extraction

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:49:37.857786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T04:49:37.720033Z digest=sha256:edd8e5d95fa39e181b7c637a371b0110fc65c479d9f1599273a5d474d63644a6

Observation 095ae816-1f2f-4559-af5d-28f19fa92466 · inbound

Bits and Memories: Measuring Verbatim Extraction Across LLM Quantization cites this paper.

Bits and Memories: Measuring Verbatim Extraction Across LLM Quantization Measuring memorization in language models via probabilistic extraction

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-01T02:28:36.744125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:28:36.744125Z digest=sha256:cd8483bde9fbd612faa783c27e229343695098b1dd967d7799327ba0100fdbba