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Paper Citation Record · LEDGER

From Protoscience to Epistemic Monoculture: How Benchmarking Set the Stage for the Deep Learning Revolution

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.06647.

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

pith.paper-citation-record.v1
2404.06647 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:22:55.541053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T17:12:41.092456Z

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 2e1c6beb-794c-4e4e-add0-2cead3d7f5c8 · 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 From Protoscience to Epistemic Monoculture: How Benchmarking Set the Stage for the Deep Learning Revolution

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-08T15:06:55.015239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:06:55.015239Z digest=sha256:3128123230ebd94d9d4aae6717bd4192eaa1ea16f148517ae883a5c6965327ab

Observation 43c826f1-b68a-473c-b82e-e79c20540f26 · inbound

The Leaderboard Illusion cites this paper.

The Leaderboard Illusion From Protoscience to Epistemic Monoculture: How Benchmarking Set the Stage for the Deep Learning Revolution

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T05:22:55.541053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:22:55.541053Z digest=sha256:ac15450393eaab713f6c8048bb346f45a4a301cec7fbebc67309805da8ab571f

Observation 4b4815f1-7741-4a19-818a-7431baa336f5 · inbound

Computational Hermeneutics: Evaluating generative AI as a cultural technology cites this paper.

Computational Hermeneutics: Evaluating generative AI as a cultural technology From Protoscience to Epistemic Monoculture: How Benchmarking Set the Stage for the Deep Learning Revolution

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:48:27.242682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T23:48:24.354896Z digest=sha256:5b769cce085f4517a4c22e8bd46846c92dd571c0ea9b61b0e0fec633f0ba1bba

Observation 2e2d8248-f443-4479-91a0-67c3cda176ed · inbound

Position: Ideas Should be the Center of Machine Learning Research cites this paper.

Position: Ideas Should be the Center of Machine Learning Research From Protoscience to Epistemic Monoculture: How Benchmarking Set the Stage for the Deep Learning Revolution

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:12:41.094077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-19T17:11:07.062949Z digest=sha256:bf2d52a8a739c6ea067e1676be7f64f84c3b7029b6a2a882788d3f83bb4a9776