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Paper Citation Record · LEDGER

Provable Advantage in Quantum PAC Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.10887.

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

pith.paper-citation-record.v1
2309.10887 v1

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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:25:35.754309Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T06:56:05.256756Z

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 60ea8d71-bf2c-4142-8c10-090484e57183 · inbound

Quantum Learning with Tunable Loss Functions cites this paper.

Quantum Learning with Tunable Loss Functions Provable Advantage in Quantum PAC Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T14:25:35.754309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:35.754309Z digest=sha256:5e7ad522cbe9c72d044b148f64ec2f173f7d5ac14dd78f83578983a8d5a08ed8

Observation c9823482-a43a-4453-83f4-e5e5c6484558 · inbound

Local tensor-train surrogates for quantum learning models cites this paper.

Local tensor-train surrogates for quantum learning models Provable Advantage in Quantum PAC Learning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:19.382623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T16:58:36.889900Z digest=sha256:b581b06148dc833c72862e2a9ee1cd914d1b3cb17c72c7fffb41ecc505ba8431

Observation d80cb229-4755-47eb-be27-a12fd710488d · inbound

Analysis of the sample complexity for PAC-learning functions defined over quantum states cites this paper.

Analysis of the sample complexity for PAC-learning functions defined over quantum states Provable Advantage in Quantum PAC Learning

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-09T06:56:05.258687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-09T06:52:19.327364Z digest=sha256:2f3cb601a7351dfe42b8bb4e5bf0adf9b0a2f8a50865767d3ad4c9a01d16aa82