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Paper Citation Record · LEDGER

MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2209.11146.

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

pith.paper-citation-record.v1
2209.11146 v1

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

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:29:57.751573Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:22:18.748707Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 d8998db6-7f0e-4c7e-a0f1-eb3ad25ec185 · inbound

Parameter inference of millilensed gravitational waves using neural spline flows cites this paper.

Parameter inference of millilensed gravitational waves using neural spline flows MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:22:18.752055Z

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=2026-05-19T13:21:37.451964Z digest=sha256:8b7b75f44f66962d4a4bc4eaf3ce9fc636e333d24df4efa50464693505991126

Observation 6f2d4608-6ed9-4636-9a53-114cc86ff086 · inbound

Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation cites this paper.

Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T18:29:57.751573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:29:57.751573Z digest=sha256:9a777ed72fc185f6d45787bc932ccdc6ea7673bf3b44fe24ce37492e4ef422c3

Observation 708a5088-1df8-4c44-9259-6acf7e33c43f · inbound

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms cites this paper.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-05T05:30:31.465278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:30:31.465278Z digest=sha256:3b6a1edccdcdfbe42d5666fffc1bd389aaa5bcbefc8bd931af4a0d50b502b327

Observation 08484132-fb03-4a5f-bb93-04bc79c09240 · inbound

Beyond FINDCHIRP: Breaking the memory wall and optimal FFTs for Gravitational-Wave Matched-Filter Searches with Ratio-Filter Dechirping cites this paper.

Beyond FINDCHIRP: Breaking the memory wall and optimal FFTs for Gravitational-Wave Matched-Filter Searches with Ratio-Filter Dechirping MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:30:52.903896Z

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=2026-05-16T11:30:38.527070Z digest=sha256:17c0f86f51af16818d8ded8e3b18e32622222726ad9689e53e87341ba083093f

Observation 1cf1c84a-9d26-4db2-9e1d-ce768a2b68a6 · inbound

Identifying lensed gravitational waves with physics-informed posterior learning cites this paper.

Identifying lensed gravitational waves with physics-informed posterior learning MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

Reference 127

Resolution
unresolved
no resolver link, observed 2026-07-11T23:16:00.672720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:16:00.672720Z digest=sha256:22958187e31e09a65ba754755e434e3d2cdc7144dda8be0f6fef521ff7813ee4