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Paper Citation Record · LEDGER

The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2401.02452.

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

pith.paper-citation-record.v1
2401.02452 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:04:03.491075Z

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

5
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 e81e8f8a-19b5-413e-b5ea-f92de0408371 · inbound

Accept More, Reject Less: Reducing up to 19% Unnecessary Desk-Rejections over 11 Years of ICLR Data cites this paper.

Accept More, Reject Less: Reducing up to 19% Unnecessary Desk-Rejections over 11 Years of ICLR Data The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T23:04:03.491075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:04:03.491075Z digest=sha256:f70b4753110607d1fbff5676535f0aa569d0f258d097f3e6b94d4faee2a9d0bb

Observation 503e997d-76b5-4626-aa7e-1f3c9f04e1e5 · inbound

What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness cites this paper.

What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:18.814336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:27:18.814336Z digest=sha256:bdd527b9449e29c96079c81e30a365b2ead4f656065a3bb444e1265d780c926a

Observation 4d3f001e-2807-41a6-853f-8396acd53cdd · inbound

Inference Time Debiasing Concepts in Diffusion Models cites this paper.

Inference Time Debiasing Concepts in Diffusion Models The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T18:47:20.765263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:47:20.765263Z digest=sha256:92bfe1b4b7e06c0c96597c2c6af8c2b3685f6b5f02a9b70adfcb95aa6cad4280

Observation 55f0ad3c-54c8-40b2-bb9b-80f0350cfd7f · inbound

Agentic Inequality cites this paper.

Agentic Inequality The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T06:15:58.065826Z

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=2026-05-18T06:15:12.105326Z digest=sha256:559211fb0ad58b6726d6a03605a611ef33a2745f2fb592cae1c5fbd56f1935b9

Observation 6545c16c-1af7-4b67-8c04-f66af8635074 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Reference 167

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:31:24.679336Z

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=2026-05-17T00:29:07.951709Z digest=sha256:154cb5352267af31e3f954a53d89cb9192f859b650ddb9a5e26d90326469f96a

Observation f94c1c1b-cf21-4732-b7a5-e3cd55448169 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Reference 167

Resolution
unresolved
no resolver link, observed 2026-08-03T18:19:25.672699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:19:25.672699Z digest=sha256:49e1cdd91fd87ed48e035c405174a7bd0d580ff45a4e150633fe519f7e9dbab8

Observation 68efd4c7-e786-41fa-bba4-8d43e58e2156 · inbound

HRM-Text: Efficient Pretraining Beyond Scaling cites this paper.

HRM-Text: Efficient Pretraining Beyond Scaling The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:43:59.017361Z

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=2026-05-21T05:41:41.397554Z digest=sha256:7b1a18ddd111f5b29c1687d409900fbbe1ca4de3615b3a83aba89d12f592c1af

Observation f5be3e46-9323-4398-8897-261b93b16ab4 · inbound

Financing Artificial Intelligence Infrastructure: Mapping AI Infrastructure Investment and Compute Governance Across Africa cites this paper.

Financing Artificial Intelligence Infrastructure: Mapping AI Infrastructure Investment and Compute Governance Across Africa The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T01:14:07.905336Z

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=2026-06-30T01:13:33.262071Z digest=sha256:30dc53680963ed89a9172822bfd07006fea317822e0aea5df1a9931cb46ad6c3