Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:10:37.192524Z
Paper Citation Record · LEDGER
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs
As of 16 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.08727.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
17 of 17 outbound references displayed
- verified exact0
- verified fuzzy7
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 53f41991-257d-4c67-8e1d-ef3d81570ca6 · outbound
This paper cites Reducing the carbon impact of generative ai inference (today and in 2035),.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs Reducing the carbon impact of generative ai inference (today and in 2035),
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:10:37.422878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d1ddb359-f5a5-4882-8ea6-47bb2614b265 · outbound
This paper cites an unresolved cited work.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:10:37.408681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e54ca34a-39a8-4df8-8de2-8c67849a63f9 · outbound
This paper cites The carbon footprint of machine learning training will plateau, then shrink,.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs The carbon footprint of machine learning training will plateau, then shrink,
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:10:37.140403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee458821-b201-4fff-889f-6a59718eef9b · outbound
This paper cites Green ai,.
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:10:37.144040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc35c1dd-419e-4dc3-926f-d5c47ed775aa · outbound
This paper cites an unresolved cited work.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:10:37.377846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation de4e9497-c2f6-4c67-a365-bbf318fc8d43 · outbound
This paper cites mlco2/codecarbon: v2.4.1,.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs mlco2/codecarbon: v2.4.1,
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:10:37.151647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b618018d-fa4c-4e88-a942-245ae908b6d1 · outbound
This paper cites Eco2ai: carbon emissions tracking of machine learning models as the first step towards sustainable ai,.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs Eco2ai: carbon emissions tracking of machine learning models as the first step towards sustainable ai,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:10:37.364624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7cddd638-3295-473a-ab93-92418adb3325 · outbound
This paper cites LLMCarbon: Modeling the end-to-end carbon footprint of large language models,.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs LLMCarbon: Modeling the end-to-end carbon footprint of large language models,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:10:37.350332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 47958575-efb2-4990-bc6c-7c6afadfff1a · outbound
This paper cites Quantifying the Carbon Emissions of Machine Learning.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs Quantifying the Carbon Emissions of Machine Learning
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:10:37.162642Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa3c0fdf-a8fb-4726-9de2-21eafc68c102 · outbound
This paper cites an unresolved cited work.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:10:37.334157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0e50d866-5b5a-462c-ba6a-267b6524b1a1 · outbound
This paper cites Holistic Evaluation of Language Models.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs Holistic Evaluation of Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:10:37.169704Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87447d01-3c09-4e49-841c-d4a93580e8ce · outbound
This paper cites Cheaply estimating inference efficiency metrics for autoregressive transformer models,.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs Cheaply estimating inference efficiency metrics for autoregressive transformer models,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:10:37.320084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ee0d0ea8-9987-4839-8ae4-f993fc0f91af · outbound
This paper cites Beyond efficiency: Scaling ai sustainably,.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs Beyond efficiency: Scaling ai sustainably,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:10:37.304191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0274c939-7f20-4c9e-a220-58ac03150652 · outbound
This paper cites Estimating the carbon footprint of bloom, a 176b parameter language model,.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs Estimating the carbon footprint of bloom, a 176b parameter language model,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:10:37.290384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3df75510-af65-470f-b809-e5eb06e6343a · outbound
This paper cites Llm-perf leaderboard,.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs Llm-perf leaderboard,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:10:37.274300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 41de91d2-5739-4a0f-a38d-39c9994745fb · outbound
This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:10:37.188192Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f383da64-6c76-4344-b567-6cc6fecd87ae · outbound
This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness,.
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs Flashattention: Fast and memory-efficient exact attention with io-awareness,
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:10:37.192524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.