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Paper Citation Record · LEDGER

The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2204.05149.

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

pith.paper-citation-record.v1
2204.05149 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:07:39.565848Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 aa6b8f41-188a-4da8-a73c-1af8e003e437 · inbound

A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment cites this paper.

A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:45.497061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:28:45.497061Z digest=sha256:2045f59f15684ac17f2097af27313ae680d08d0143ea2dcc0eda692fe16034f8

Observation 24a13c47-9d69-4473-9ce4-e6d805307483 · inbound

SiPipe: Bridging the CPU-GPU Utilization Gap for Efficient Pipeline-Parallel LLM Inference cites this paper.

SiPipe: Bridging the CPU-GPU Utilization Gap for Efficient Pipeline-Parallel LLM Inference The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T22:21:08.252474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:21:08.252474Z digest=sha256:86f97e64721efa0a816d30d13793831932d936d5ff6be241332c91021aad4ff1

Observation a8743a1b-2298-4a01-9984-c89d0c621898 · inbound

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search cites this paper.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:07:39.565848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:07:39.565848Z digest=sha256:062bec86a90191d11a6e8be7ebd0accd46886dd957510fd382519bd6a2fc04d9

Observation 3a46d8ed-4df2-4442-98f2-d26f46cdada3 · inbound

Promptception: How Sensitive Are Large Multimodal Models to Prompts? cites this paper.

Promptception: How Sensitive Are Large Multimodal Models to Prompts? The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T10:34:18.353122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:34:18.353122Z digest=sha256:93e5e22e633f0e21217bf54eea22e005c9d442c78a7c43c99bab7a005233ea72

Observation 162ed0a0-9626-49a5-8b0c-7dca234ddeb0 · inbound

FinCriticalED: A Visual Benchmark for Financial Fact-Level OCR cites this paper.

FinCriticalED: A Visual Benchmark for Financial Fact-Level OCR The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:20:11.487935Z

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=2026-05-17T20:19:52.701262Z digest=sha256:1e72721eec324c184660f042772f7627a3bdc2a2feeb96d9beb20757981232b2

Observation 4b6671bc-95bf-4dbf-b334-0c54d952f211 · inbound

Reasoning-Aware Multimodal Fusion for Hateful Video Detection cites this paper.

Reasoning-Aware Multimodal Fusion for Hateful Video Detection The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T19:00:14.222330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:00:14.222330Z digest=sha256:32b3291826490a0a98e1847b1a52aefcaf8cf740f9eed26b909ac80499a60f12

Observation 414b0c54-aaa9-4d4a-a9a3-8c925c3433cd · inbound

What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty cites this paper.

What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T22:31:19.112041Z

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=2026-05-16T22:30:25.134168Z digest=sha256:31475b72b2608aef8d919dd06b4c5bb9788f7b1907a97bd2f01e19210f3270d9

Observation 2f061de1-69d4-4dc5-b1f7-bd859de52d8c · inbound

S-AI-Recursive: A Bio-Inspired and Temporal Sparse AI Architecture for Iterative, Introspective, and Energy-Frugal Reasoning cites this paper.

S-AI-Recursive: A Bio-Inspired and Temporal Sparse AI Architecture for Iterative, Introspective, and Energy-Frugal Reasoning The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:45:11.207718Z

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=2026-05-15T06:41:32.202826Z digest=sha256:54ca1f986c65e03f11e204f182eb8a6492654f161ab8af6b732467a434778336

Observation 62590366-66a3-46fb-8787-a1ff8939c7c0 · inbound

iPOE: Interpretable Prompt Optimization via Explanations cites this paper.

iPOE: Interpretable Prompt Optimization via Explanations The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:55:00.392151Z

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=2026-06-30T18:51:02.893069Z digest=sha256:c06fbc1535e642a5e98166d07283ec44996a191fd13bc1abd0561b156f9afd6c

Observation 60b8e590-370a-4b99-9d17-ad45be4626e2 · inbound

Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment cites this paper.

Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T21:06:14.600603Z

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=arxiv_source observed=2026-06-28T17:27:19.467192Z digest=sha256:2a6e07366da06d140f0b777fdadc9090c430aa96c0942c57fade14116483e82c

Observation 67d4f0d9-6c75-4390-99bc-65e54d54c200 · inbound

WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks cites this paper.

WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-29T04:53:06.180733Z

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=2026-06-29T04:48:13.407065Z digest=sha256:b1fec6ea6dcff47618b367fd8523f494d39020398d52f99c062e8446beb78ba7

Observation 336a890d-19bc-4214-a4c4-69f841119a69 · inbound

Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning cites this paper.

Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T11:01:28.429406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:01:28.429406Z digest=sha256:a524bc3f631c205a7c14305f47c270884cb1f38e6cf3f8fd018de966291b3890