Paper Citation Record · LEDGER

Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2211.02001.

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

pith.paper-citation-record.v1
2211.02001 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:30:00.927799Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:46:13.444280Z

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 b867a288-758a-4e7d-b814-037d1c399445 · inbound

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model cites this paper.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 272

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:51:11.633012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2457dbbb-b1f7-4035-b22b-b0a6780b4505 · inbound

PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis cites this paper.

PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 148

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T20:38:52.860210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 94f781e5-3e65-48ff-bab3-5778b68a13af · inbound

Language Models in Software Development Tasks: An Experimental Analysis of Energy and Accuracy cites this paper.

Language Models in Software Development Tasks: An Experimental Analysis of Energy and Accuracy Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T05:32:45.078175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff139a48-478b-44e1-bc25-8e9ff2d8c10f · inbound

Kryptonite-N: Machine Learning Strikes Back cites this paper.

Kryptonite-N: Machine Learning Strikes Back Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:58.501827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bad95b0f-bf32-4826-9cf8-0695c21e9660 · inbound

Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts cites this paper.

Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T15:20:32.469363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a8ed51e-4dab-41ec-91ee-32c2c80fdfd9 · inbound

From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate cites this paper.

From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T12:29:48.142964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f8a87a3-8346-409a-82bd-ca68f191a282 · inbound

Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends cites this paper.

Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T18:50:52.547691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c5d8bcb-8442-4d7c-956c-d9d2d6aba79f · inbound

Sustainability via LLM Right-sizing cites this paper.

Sustainability via LLM Right-sizing Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:25:03.699303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8857421-fdd6-43d8-b049-1bdab28afd77 · inbound

GPTFootprint: Increasing Consumer Awareness of the Environmental Impacts of LLMs cites this paper.

GPTFootprint: Increasing Consumer Awareness of the Environmental Impacts of LLMs Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:20.462920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ce6f251-6bf3-4b90-9350-18f917ca1bae · inbound

Misinformation by Omission: The Need for More Environmental Transparency in AI cites this paper.

Misinformation by Omission: The Need for More Environmental Transparency in AI Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:13.832458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10675910-233b-4717-b9d8-d1a0a413bb93 · inbound

QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization cites this paper.

QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:21.184745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 428e6b45-3eb9-43ad-b4d2-995307f20f3c · inbound

The Carbon Cost of Conversation, Sustainability in the Age of Language Models cites this paper.

The Carbon Cost of Conversation, Sustainability in the Age of Language Models Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 1894

Resolution: unresolved; no resolver link, observed 2026-08-06T13:56:15.900847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c912b8b4-f86c-4d4b-9b67-f436828ccec9 · inbound

MediQAl: A French Medical Question Answering Dataset for Knowledge and Reasoning Evaluation cites this paper.

MediQAl: A French Medical Question Answering Dataset for Knowledge and Reasoning Evaluation Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T23:10:44.662908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba1c7a40-002f-4280-81b9-46e92353c42c · inbound

Greener Deep Reinforcement Learning: Analysis of Energy and Carbon Efficiency Across Atari Benchmarks cites this paper.

Greener Deep Reinforcement Learning: Analysis of Energy and Carbon Efficiency Across Atari Benchmarks Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T16:30:00.927799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcf979dd-9e2a-4415-909c-651f94624419 · inbound

Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation cites this paper.

Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:10:16.404407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1cded820-1b73-4ac6-9ab7-1b3c020a2f37 · inbound

The Hidden Cost of Thinking: Energy Use and Environmental Impact of LMs Beyond Pretraining cites this paper.

The Hidden Cost of Thinking: Energy Use and Environmental Impact of LMs Beyond Pretraining Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:16:11.581291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe94dc8e-c7d9-454e-82bb-d7a9e0acf49f · inbound

From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint cites this paper.

From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:31:12.712626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fcc34ef7-4e3d-4f18-9d81-709efe265ca1 · inbound

Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand cites this paper.

Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:46:13.445892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8db4eb5a-1027-4147-a215-c553faeeeec9 · inbound

Lights, Camera, Carbon: Architectural Scaling Laws for Video Generation Energy Consumption cites this paper.

Lights, Camera, Carbon: Architectural Scaling Laws for Video Generation Energy Consumption Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T17:26:24.553591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.