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Paper Citation Record · LEDGER

Power Hungry Processing: Watts Driving the Cost of AI Deployment?

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2311.16863.

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

pith.paper-citation-record.v1
2311.16863 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:54.967902Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T06:29:42.134255Z

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 6b6e31aa-b8bf-42a7-8ce6-df40096fd218 · inbound

Artificial Intelligence Policy Framework for Institutions cites this paper.

Artificial Intelligence Policy Framework for Institutions Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T23:06:20.147014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:06:20.147014Z digest=sha256:dfc6b390d158451a87655c96219cfa7a4897cd127a77628cce170c86999d0c9d

Observation 25d01e11-a1dc-4bf7-92c2-fe220ddf2603 · inbound

The "Huh?" Button: Improving Understanding in Educational Videos with Large Language Models cites this paper.

The "Huh?" Button: Improving Understanding in Educational Videos with Large Language Models Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T15:07:57.665126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:07:57.665126Z digest=sha256:32b7c4f168a15b8a46860e88686ebc86c1edebd403bb761ce7ee3817f4d3c449

Observation 35e0fea2-a3a3-4dc0-aea9-252847fdebba · 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 Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T12:29:48.137733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:29:48.137733Z digest=sha256:f26d1f7803d7f054c578562433bcdd6869844cbafb87d7ba4fb3e13134d1cb23

Observation e0d5e77b-e2ce-48f8-bfa2-c2aa58ebaf7e · inbound

Sustainable Digitalization of Business with Multi-Agent RAG and LLM cites this paper.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:16.268937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:16.268937Z digest=sha256:738b7690b13b870cd343d179d9e4531bce802560a1df4c18cc7878939987c8f7

Observation 8d9f1842-9e3a-4a8c-8ad3-73a75400e0c7 · inbound

Multimodal Large Language Models for Medicine: A Comprehensive Survey cites this paper.

Multimodal Large Language Models for Medicine: A Comprehensive Survey Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Reference 263

Resolution
unresolved
no resolver link, observed 2026-08-16T05:32:54.967902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:54.967902Z digest=sha256:424d0aedc5f1b1b38f520f3780086caf9d0d27a6178d838a58b72e7ac45dee67

Observation 56c02756-fe58-41ba-b2d6-79472245a828 · inbound

Accelerating Photonic Integrated Circuit Design: Traditional, ML and Quantum Methods cites this paper.

Accelerating Photonic Integrated Circuit Design: Traditional, ML and Quantum Methods Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T18:53:33.446010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:53:33.446010Z digest=sha256:b2a7d3ff9787c2b217d3a4fc800324a94a6e2b7de323ed66ce5c75c65c48d12e

Observation 0e2d9567-aa03-44af-8fd8-2d02aa73bdf6 · inbound

Mitigating the Carbon Footprint of Chatbots as Consumers cites this paper.

Mitigating the Carbon Footprint of Chatbots as Consumers Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T12:06:27.771263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:06:27.771263Z digest=sha256:05b51a162626c24e88b36c33c79163351f2571483872a6287f6f1d10bac337ea

Observation 60bfb4eb-c0ca-4e8d-91be-2d4fdd14ba22 · inbound

Calibrating Microgrid Simulations for Energy-Aware Computing Systems cites this paper.

Calibrating Microgrid Simulations for Energy-Aware Computing Systems Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T12:05:33.618232Z

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.

source=pdf_text observed=2026-05-15T12:03:17.862705Z digest=sha256:1bcfaada5af2c940eca39b839cfc69b36d0e2c09ab2f325c0d8cb7bf9d200b9b

Observation 599d0843-d76b-419c-bf5a-787f54cffed7 · inbound

Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem cites this paper.

Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:04:17.662644Z

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.

source=pdf_text observed=2026-05-09T23:02:34.564375Z digest=sha256:6d87a55dc5ce8201c631b0a301d744ac0ade8bc76c74bacc37a50d094e425ef4

Observation bcbfde84-594e-4bfb-bee2-977e1b38709c · inbound

MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-Loop cites this paper.

MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-Loop Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:28:21.516818Z

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.

source=pdf_text observed=2026-05-20T14:25:11.234515Z digest=sha256:ff9666442023cdb5fe0ad06a5599852ca8d4f3083863517cbbc30e7cf8f8cdcb

Observation 320e3b39-3493-4ea4-919f-9a91df52618d · inbound

HORST: Composing Optimizer Geometries for Sparse Transformer Training cites this paper.

HORST: Composing Optimizer Geometries for Sparse Transformer Training Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:29:42.135981Z

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.

source=arxiv_source observed=2026-05-21T06:28:22.117741Z digest=sha256:22d3dd6b31e70dddc9a88083c4afda4c904bd29faf972d89b5fe4c2122023434