Pith. sign in

Paper Citation Record · LEDGER

Harnessing Quantum Extreme Learning Machines for image classification

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.00998.

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

pith.paper-citation-record.v1
2409.00998 v3

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:54:31.103285Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T20:26:35.081990Z

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 9e0a9358-34c6-4723-b2bf-fb30c5b659ef · inbound

Exoplanetary atmospheres retrieval via a quantum extreme learning machine cites this paper.

Exoplanetary atmospheres retrieval via a quantum extreme learning machine Harnessing Quantum Extreme Learning Machines for image classification

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-05T10:54:31.103285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:54:31.103285Z digest=sha256:4451421bd46525b4090fa79623e635bb7d4b86abac172587562ddb40513711d2

Observation 6f36ec54-ab52-4a41-92e2-dd9c0fbd008c · inbound

Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach cites this paper.

Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach Harnessing Quantum Extreme Learning Machines for image classification

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:26:35.085707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T20:26:21.639717Z digest=sha256:1483682dbbc5001a047f873f9500f89b7f546c3c5752442f268b39f59f93b523