Pith. sign in

Paper Citation Record · LEDGER

Exploring Quantum Active Learning for Materials Design and Discovery

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.18731.

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

pith.paper-citation-record.v1
2407.18731 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:30:37.843403Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:29:12.915748Z

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 de0c0689-c859-4203-b7f7-0ec51e7aa8c4 · inbound

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region cites this paper.

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Exploring Quantum Active Learning for Materials Design and Discovery

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T11:30:37.843403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:30:37.843403Z digest=sha256:e1f8fc7b0cfc3c024a9bdb064ed88560f812c8b49644575fadd7871bc6424c9e

Observation f28cfa20-6f4c-476b-adf0-f088dc5f006f · inbound

GPU-Accelerated Distributed QAOA on Large-scale HPC Ecosystems cites this paper.

GPU-Accelerated Distributed QAOA on Large-scale HPC Ecosystems Exploring Quantum Active Learning for Materials Design and Discovery

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:29:12.957776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:29:11.183223Z digest=sha256:58efce30abe3217da1015f7d59716a341d829662db257c76442a550d1fc65fe3