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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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
  • 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 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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T13:21:37.451964Z digest=sha256:0a41f4bd446bee2971245918170bfe73ecde0a34c90456c4985e80b29eebccb1

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:cdb75e3d8580d7a902d3d24db28cee45c9d1867c32add24539a9be39a5b1b15c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T11:30:38.527070Z digest=sha256:2b2e4324a4d4d629be69927514271844fcfd950db8419cd54f0acb55c311632a

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