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Paper Citation Record · LEDGER

AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.09989.

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

pith.paper-citation-record.v1
2505.09989 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:57:21.599755Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:49:00.077697Z

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 fe4e9b8a-e6c4-489e-8a7a-998b27c927c7 · inbound

Contextual Robust Optimization for AI Data Center Scheduling with Statistical Guarantees cites this paper.

Contextual Robust Optimization for AI Data Center Scheduling with Statistical Guarantees AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:49:00.079215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T00:07:39.816141Z digest=sha256:15f9e4a7887a7ad2df5510d0730972b31d2540fdcfee3ece98e68ec185d72134

Observation b69844e6-af07-45cc-a516-ec9d74070164 · 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 AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-01T20:57:21.599755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:57:21.599755Z digest=sha256:a9aaefa6130c7b032bf9f4f9de2a0bbe25219b25f9906b49c32793098f0e3ddc