Paper Citation Record · LEDGER

POLCA: Power Oversubscription in LLM Cloud Providers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.12908.

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

pith.paper-citation-record.v1
2308.12908 v1

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 2026-08-06T20:23:51.282894Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:17.156911Z

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 0079da7c-4e47-43ff-b800-e7fa8e412b3e · inbound

Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications cites this paper.

Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications POLCA: Power Oversubscription in LLM Cloud Providers

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:51.282894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b23fab9-518d-4fb6-a4a1-79cfa4bca3ef · inbound

nvPAX: Constrained Optimization for Dynamic Power Allocation in Hierarchical and Multi-Tenant Systems cites this paper.

nvPAX: Constrained Optimization for Dynamic Power Allocation in Hierarchical and Multi-Tenant Systems POLCA: Power Oversubscription in LLM Cloud Providers

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:31:10.966700Z

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 c4d83385-743b-4ff3-a14f-ebd62c42c8bd · inbound

The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures cites this paper.

The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures POLCA: Power Oversubscription in LLM Cloud Providers

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T04:52:17.185166Z

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 cd7b772d-1cb2-4037-9876-12e02970ce51 · inbound

CompPow: A Case for Component-level GPU Power Management cites this paper.

CompPow: A Case for Component-level GPU Power Management POLCA: Power Oversubscription in LLM Cloud Providers

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T03:24:34.172005Z

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 2ae4cdfd-14c7-4e4e-a149-ec9a5a5b5629 · inbound

Detecting Hidden ML Training With Zero-Overhead Telemetry cites this paper.

Detecting Hidden ML Training With Zero-Overhead Telemetry POLCA: Power Oversubscription in LLM Cloud Providers

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:39:17.158555Z

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 068d7315-d35a-42a7-b296-ebaa2dbbeb3f · inbound

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving cites this paper.

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving POLCA: Power Oversubscription in LLM Cloud Providers

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T20:57:21.577500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.