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Paper Citation Record · LEDGER

MLPerf Training Benchmark

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1910.01500.

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

pith.paper-citation-record.v1
1910.01500 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:57:29.189309Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

172
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2c126728-f350-4a2f-a0d3-971ab13637c9 · inbound

Quantum Compiler Design for Qubit Mapping and Routing: A Cross-Architectural Survey of Superconducting, Trapped-Ion, and Neutral Atom Systems cites this paper.

Quantum Compiler Design for Qubit Mapping and Routing: A Cross-Architectural Survey of Superconducting, Trapped-Ion, and Neutral Atom Systems MLPerf Training Benchmark

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:29.189309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:57:29.189309Z digest=sha256:85a0c524a0d87d3db32444e5f9b31cd136bdf8367dc942e32431b729f16d62f2

Observation d5049e62-6308-4f8f-a41d-d6cfd1e6fe74 · inbound

CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs cites this paper.

CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs MLPerf Training Benchmark

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T04:32:15.106798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:32:15.106798Z digest=sha256:67625797c940357c7566d99ca1ac42760cd00131aad060fc7a2534e8c1e8b84e

Observation 43162bcd-cfef-42eb-a638-355d3d8dbccb · inbound

Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning cites this paper.

Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning MLPerf Training Benchmark

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:25:38.916186Z

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=2026-05-10T17:23:15.999195Z digest=sha256:499301e0a99bd62443a1a55ae2d179e349d730d5aa0f5a269dcb69a6cbbb1df7

Observation 94b33be1-cf17-4e3f-8659-85f0c978bae6 · inbound

Benchmarking Compound AI Applications for Hardware-Software Co-Design cites this paper.

Benchmarking Compound AI Applications for Hardware-Software Co-Design MLPerf Training Benchmark

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T16:20:09.885787Z

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=2026-05-15T16:17:08.045511Z digest=sha256:fe79499dfe3cf2f9ca1cf2ecc80e56468145885fdd75c21f1276fa13febb6b9c

Observation 545f43e0-e3b5-46bb-a88a-48be245ab3a2 · inbound

Instant GPU Efficiency Visibility at Fleet Scale cites this paper.

Instant GPU Efficiency Visibility at Fleet Scale MLPerf Training Benchmark

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-21T02:43:54.753721Z

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=2026-05-21T02:43:09.077121Z digest=sha256:6021d80d9e2ccdc151eba566998321abce7ea4097fa7ceb25f4ea2759578e3bf

Observation c1f41dc5-a965-41ef-b1ce-c1be8996e8b7 · inbound

StageFrontier: Synchronization-Aware Stage Accounting for Distributed ML Training cites this paper.

StageFrontier: Synchronization-Aware Stage Accounting for Distributed ML Training MLPerf Training Benchmark

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:47:06.913709Z

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=2026-06-27T23:19:26.962017Z digest=sha256:3fa92dd4c9289a0e4a5c67e74f7685961102f14dd92e0c85a4337f65cc6c9e4d