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Paper Citation Record · LEDGER

What Language Model to Train if You Have One Million GPU Hours?

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2210.15424.

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

pith.paper-citation-record.v1
2210.15424 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 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T01:35:21.150772Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:35:21.345442Z

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 61e030e2-6750-4d34-8d0e-a272c29193ed · inbound

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling What Language Model to Train if You Have One Million GPU Hours?

Reference 232

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:45:17.998688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T17:45:17.540282Z digest=sha256:381e631503f6b1ebd37a333e989e80a356785caa9d3e40e63415e9aaeb23b218

Observation 1d76c07f-1ff9-4630-a381-4bb3ff401c88 · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models What Language Model to Train if You Have One Million GPU Hours?

Reference 104

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:35:21.348948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T01:35:21.150772Z digest=sha256:9109cea382af128e635612dd85a70f48c6c3ff616940e9ffbf574d0ee489732d

Observation 988db356-63c8-4340-897a-92518cfc7e01 · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models What Language Model to Train if You Have One Million GPU Hours?

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:46:10.119349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-16T09:46:09.701440Z digest=sha256:8a33331abc8c5de1d839ddcfd55bc67654acde0b8be6344f1a618eb3f3957ee5

Observation 8e9d6a9b-80c6-4f3d-a745-da2f5c871800 · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation What Language Model to Train if You Have One Million GPU Hours?

Reference 270

Resolution
verified exact
arxiv_id, observed 2026-05-12T17:28:22.683849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T17:28:22.353355Z digest=sha256:ed16771d626b186fac23e08aaf83000063b451f1f29e6bbfd1c64f35d64981bb