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Paper Citation Record · LEDGER

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2605.24561.

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

pith.paper-citation-record.v1
2605.24561 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T12:28:22.934242Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T12:28:22.934242Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T12:34:38.784952Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact2
  • verified fuzzy7
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e377a8a-e801-41b5-bc19-07f3261be6f0 · outbound

This paper cites an unresolved cited work.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-07-09T05:56:02.232252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:d2071763aefe3b9c76e3cd42339641f26d562c577c22fb7b306997f2cf009258

Observation f80db5ff-b89a-4f8b-8e02-af315831e544 · outbound

This paper cites an unresolved cited work.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-07-09T05:56:02.236924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:143b17deb77d522db8238fbbc15739df42fc9615e09d571bb9ff1d275b7cdbb1

Observation 56afbd10-ae8f-4d16-ab51-2a15ee11b712 · outbound

This paper cites CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T12:34:38.786351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:0d73dcd8ac59772913e954852b6c0fa9513a967ef0f128077a6ad6c0b27731ca

Observation 8fb13dca-3f15-4c1e-bbe7-36adfd81cfed · outbound

This paper cites an unresolved cited work.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-07-09T05:56:02.249799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:fcf348df4e6f62d1e7b047421011af6faa5055ee63c77e2f01c2ecfb7df91184

Observation f410001c-880d-4f16-b20e-ee50e48ddbac · outbound

This paper cites CARINA shows that peak-aware execution control can reduce total burden meaningfully, while some intuitive inter- ventions can instead increase energy use through overhead effects.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics CARINA shows that peak-aware execution control can reduce total burden meaningfully, while some intuitive inter- ventions can instead increase energy use through overhead effects

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:56:02.229153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:10aa9adb618ff69224105d2c729f3ef0375b027b7bb3cf2a3ec93a06ae25fe69

Observation 32c4863f-595d-4870-ae5d-8116fb556412 · outbound

This paper cites How to estimate carbon footprint when training deep learning models? a guide and review.Environmental Research Communications, 5(11):115014, 2023.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics How to estimate carbon footprint when training deep learning models? a guide and review.Environmental Research Communications, 5(11):115014, 2023

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:56:02.226656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:fa645253627af40fd02fd15bebb3eef029f5f32a335c7f6fa4a2a90371677d90

Observation 9b7d5af7-db27-4a70-b7c3-c967ec321c74 · outbound

This paper cites Carbon footprint analysis: need for green cloud computing.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics Carbon footprint analysis: need for green cloud computing

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:56:02.240120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:e2772d4411d8bee624072e471f327ec436d1952cad8281e9069442911305f188

Observation f7eb7536-6ad5-42da-be09-545534340e00 · outbound

This paper cites Ai-care: Carbon-aware reporting evaluation metric for ai models.arXiv preprint arXiv:2602.16042, 2026.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics Ai-care: Carbon-aware reporting evaluation metric for ai models.arXiv preprint arXiv:2602.16042, 2026

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:34:38.788995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:1868be067bc4c000ec649db0dcc84e441ed639488b063cc94ff2a1ceb0766de0

Observation 9372552c-803d-4acd-bd48-1773ce6d09f8 · outbound

This paper cites Optimizing large language models: Metrics, energy efficiency, and case study insights.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics Optimizing large language models: Metrics, energy efficiency, and case study insights

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:56:02.223522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:1658eb01d660e68995310aa78888657acc400be4b6658bfc065ad0aa49edca90

Observation 10b801a8-f7e6-4ff7-b23b-2374a205d7b0 · outbound

This paper cites Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:34:38.791982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:f9709a5343f3cd3ce9041db6c51dce63b8bc475bbf3a673c16e57141ad76a515

Observation 77496d97-383e-4d04-80f0-be1bc7102b5d · outbound

This paper cites Green recommender systems: Understanding and minimizing the carbon footprint of ai-powered personalization.ACM Transactions on Recommender Systems, 2025.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics Green recommender systems: Understanding and minimizing the carbon footprint of ai-powered personalization.ACM Transactions on Recommender Systems, 2025

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:56:02.246580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:2ab47defb865e6381abcabd9bcf35ed0251c40cd4351b91f119af22f959ecc25

Observation 0c2a1f63-935e-4740-9ee4-1ee0e70c9c0c · outbound

This paper cites Green algorithms: quantifying the carbon footprint of computation.Advanced science, 8(12):2100707, 2021.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics Green algorithms: quantifying the carbon footprint of computation.Advanced science, 8(12):2100707, 2021

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:56:02.221330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:0f31735836172155c24566fb9a1d9b4f24cac91c13c27433cf29ca1dad3a6412

Observation 6a2ae081-abb3-4d2f-9a08-4e49dcb9a31c · outbound

This paper cites Energy Usage Reports: Environmental awareness as part of algorithmic accountability.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics Energy Usage Reports: Environmental awareness as part of algorithmic accountability

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:34:38.783403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:81c1436c6a5799562cffff6475eccbf1d6c645f6af0af604350006980912bf21

Observation e325f463-d683-4be3-b190-020dda102b99 · outbound

This paper cites Balancing performance and sustainability: A review of energy-aware scheduling in hpc.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics Balancing performance and sustainability: A review of energy-aware scheduling in hpc

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:56:02.234700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:7838634422a5254d9ff75d96180f8e07e3da68533c24354e7d4609fc8d498cd4

Pith citing papers

Observation 56afbd10-ae8f-4d16-ab51-2a15ee11b712 · inbound

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics cites this paper.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T12:34:38.786351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:28:22.934242Z digest=sha256:0d73dcd8ac59772913e954852b6c0fa9513a967ef0f128077a6ad6c0b27731ca