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Paper Citation Record · LEDGER

Exploration of Parameter Spaces Assisted by Machine Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2207.09959.

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

pith.paper-citation-record.v1
2207.09959 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:15:33.174737Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T10:26:52.334735Z

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 9c8b91eb-daca-4d91-9d56-009df5b19bcf · inbound

Quantum similarity learning for anomaly detection cites this paper.

Quantum similarity learning for anomaly detection Exploration of Parameter Spaces Assisted by Machine Learning

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-12T20:15:33.174737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:15:33.174737Z digest=sha256:1e4282524cc9b422631e24c5ac185455a4aed9f632305534e7056d31ccf1c86a

Observation 7a15b9d2-98cb-4726-bf70-b4742fd9fc3f · inbound

LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning cites this paper.

LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Exploration of Parameter Spaces Assisted by Machine Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T12:42:04.752686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:42:04.752686Z digest=sha256:0cb4eeb5c33b48678b34788932782a569867d49a81bb67c1c19d150c7cd860ca

Observation e1188ac9-c902-4c04-affa-a29c134d8c59 · inbound

DLScanner: A parameter space scanner package assisted by deep learning methods cites this paper.

DLScanner: A parameter space scanner package assisted by deep learning methods Exploration of Parameter Spaces Assisted by Machine Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T00:08:52.985671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:08:52.985671Z digest=sha256:fb3cf1db6c722fb606ac44e8bb624a6e64b6761be5e8719d4cef3c076457ada5

Observation 3a6041d9-22ae-4992-8237-40ee09953d5e · inbound

Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model cites this paper.

Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model Exploration of Parameter Spaces Assisted by Machine Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T13:21:25.311759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:21:25.311759Z digest=sha256:401e2a3eded9279533f0a5f32bb2d380985b9375595599260c7956786cbc7695

Observation d0e374fd-965a-40f9-8ab8-ba98dfb5b324 · inbound

BSMArt 2: simpler and faster parameter space scans cites this paper.

BSMArt 2: simpler and faster parameter space scans Exploration of Parameter Spaces Assisted by Machine Learning

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-02T10:26:52.336035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T05:02:44.747731Z digest=sha256:bc58833b890f15b61fe2c347448d7cb727d123dff430f69ea280101f6fbe27c1