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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:0ee611d99d7d3744abc09fdd80133401ffd5df1bd6a0847118e3cc06245fc1d6

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=sha256:6be62780dffb43cb4daab656a75af77fa088c8029e7aeda628e9f35a2901683f

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=sha256:6340d9f5b2f3ce6b300d00039ea7e04675c73690a37abc1688f149cb5e642f25

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=sha256:602737b9ed2d6706f501e91d20d3c182ef2ca01eba17b9b4032881f497c76a2e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T20:19:52.701262Z digest=sha256:24ecc85294bacbc99d98a940dee75f9b4da6bb21fa9028dbde9b2ddfdd30c5a7

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=sha256:282ca9d3decaaed38c9cf0bf20e6e728c5b3ef8038a6a8c7495d36a79352ebf7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T22:30:25.134168Z digest=sha256:a86eeabe6d8ab727d392ffadcd94cddb7c173db26b4c6ceba8e01eff47d1b0db

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T06:41:32.202826Z digest=sha256:d5946b7fc3cffa1a1c5502fc2c556a53bf45aa9e159087f1f891372b26c0914d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T18:51:02.893069Z digest=sha256:c7a864d247f4498fde817aecf7d748f3f76c6f23b1f98cb31e83ed00766f5daa

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T17:27:19.467192Z digest=sha256:dea04cced1dafb6becc202c43b162d14c15973cb71e2a685eba9f40de1474dc8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T04:48:13.407065Z digest=sha256:678be7e0112e7340e8cd7de58a48676c22c0eeb3ae3b97e2ad95e73e1e112103

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:ff263f58ada040d8ebf25c59bf75cce448afe19df2a9476ccae5bdba97a17182