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Paper Citation Record · LEDGER

PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.12562.

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

pith.paper-citation-record.v1
2403.12562 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:36:26.216982Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:25:10.480643Z

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 b0c87606-4f8f-487c-9c3e-0ce64d2771ad · inbound

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices cites this paper.

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:26.182793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:26.182793Z digest=sha256:172f47a44e38120048616fb557f73c5599e3d74bc6fe3599716e6b7efab9a847

Observation cc11ea7f-0451-40a4-9b13-3202079de8d8 · inbound

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices cites this paper.

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:26.216982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:26.216982Z digest=sha256:d1f658f9338cb688ad7ab9a9594a130e709b6693f213e5f8628ae07d0864f7f4

Observation 5dba71de-a948-419a-9400-e8d7582d26b0 · inbound

Equitable Federated Learning with NCA cites this paper.

Equitable Federated Learning with NCA PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:25:10.558860Z

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=2026-08-06T22:25:07.924273Z digest=sha256:e08f9f44cb6954d8eb632677c3c481a75b2c5afadca4b13e41fdb6e8758b2107