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Paper Citation Record · LEDGER

Targeting the Benchmark: On Methodology in Current Natural Language Processing Research

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.04792.

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

pith.paper-citation-record.v1
2007.04792 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:06:55.273467Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:21:34.124241Z

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 a2dea530-94ff-4d0c-b536-0b8918ca8eef · inbound

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation cites this paper.

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation Targeting the Benchmark: On Methodology in Current Natural Language Processing Research

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-08T15:06:55.273467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:06:55.273467Z digest=sha256:6a6139f217f81c6fb1c3a79dbfa897de797b13a40a92670802f0823320806052

Observation 834c7d1d-b229-4ed8-a94e-a4f94d67b36a · inbound

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests cites this paper.

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests Targeting the Benchmark: On Methodology in Current Natural Language Processing Research

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T17:21:34.128255Z

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=pdf_text observed=2026-08-06T17:21:33.730567Z digest=sha256:5a157d0123066f48597ba6ff0d961c8f9f607b802b291a80a61ef2aacbced9b7