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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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:a910e440edb8dba167a44227b6652bc439a9b432f6d0bc2f90b044255b4c4b76

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=sha256:79aea1313afc3650d141d26464362c79d241acabb39c89cb81a9e62246cdc0ef

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=sha256:21d8ccb767d7024707d5b281026c8c917673459722f7cf5ca380d2db8b409c54

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T06:15:12.105326Z digest=sha256:5d3088e6c7c9c1028bbf4b1c48fdbf0d4a5b3d6b4d3ab3da78b05cbe05f7cc29

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T00:29:07.951709Z digest=sha256:6431b247406f441a081f5d2b3078cd36b11decbb6d8f60edcbef4847ffb73c88

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=sha256:134fa41aeacd07378becb9b1c6389228686a605490db55509c773a44daab305e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T05:41:41.397554Z digest=sha256:40165ea76a8b185b25a5dc01af4b657a5a6da59211adbc4375d989e872ab3fb6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T01:13:33.262071Z digest=sha256:2537c051c5972073317a4ab23ba9fefca139b0b304e2789bdb3cc4c18a413867