Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:21:46.235060Z

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 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 2026-08-06T23:21:46.235060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.