Pith Number

pith:ZPQVW7ON

pith:2026:ZPQVW7ON5E5XWA35RTSZGKTOBO

not attested not anchored not stored refs resolved

Rapid data quality investigations of gravitational-wave events with the Data Quality Report Builder toolkit

Adrian Helmling-Cornell, Airene Ahuja, Annudesh Liyanage, Benjamin Mannix, Beverly Berger, Caitlin Rawcliffe, Chayan Chatterjee, Christiano Palomba, Derek Davis, Dimitrios Pesios, Francesco Di Renzo, Franz Herbst, Hirotaka Yuzurihara, Jess McIver, Joseph Areeda, Julian Ding, Man Leong Chan, Marissa Walker, Max Trevor, Nicolas Arnaud, Olivia Godwin, Paolina Doliva, Philippe Nguyen, Rachael Huxford, Raymond Frey, Raymond Ng, Robert Schofield, Ronaldas Macas, Sofia Alvarez-Lopez, Sophie Perry, Viola Sordini, Yannick Lecoeuche, Zach Yarbrough

The Data Quality Report Builder toolkit identifies 96% of the data problems humans found in third observing run gravitational-wave candidates.

arxiv:2605.16183 v1 · 2026-05-15 · astro-ph.IM · gr-qc

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\usepackage{pith}
\pithnumber{ZPQVW7ON5E5XWA35RTSZGKTOBO}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

We find that these automated tools can now identify 96% of the problems identified by humans during this previous observing run, with a 24% false alarm rate.

C2weakest assumption

The set of scientific tests implemented in DQRbuild will continue to capture the majority of data quality issues that arise in the fourth observing run in the same way they did for O3 candidates.

C3one line summary

DQRbuild toolkit automates data quality vetting for gravitational-wave events, recovering 96% of human-identified issues from O3 with a 24% false alarm rate.

References

96 extracted · 96 resolved · 24 Pith anchors

[1] Capoteet al., Advanced LIGO detector performance in the fourth observing run, Phys

[2] Acernese Fet al.(VIRGO) 2023J. Phys. Conf. Ser.2429012040

[3] Abe Het al.(KAGRA) 2023PTEP202310A101 (Preprint2203.07011)

[4] Observation of Gravitational Waves from a Binary Black Hole Merger · arXiv:1602.03837

[5] GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral · arXiv:1710.05832

Receipt and verification

First computed	2026-05-20T00:01:56.801352Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

cbe15b7dcde93b7b037d8ce5932a6e0b9df8f2662568719b6ca4ebffc8fd58b3

Aliases

arxiv: 2605.16183 · arxiv_version: 2605.16183v1 · doi: 10.48550/arxiv.2605.16183 · pith_short_12: ZPQVW7ON5E5X · pith_short_16: ZPQVW7ON5E5XWA35 · pith_short_8: ZPQVW7ON

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZPQVW7ON5E5XWA35RTSZGKTOBO \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: cbe15b7dcde93b7b037d8ce5932a6e0b9df8f2662568719b6ca4ebffc8fd58b3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "09604bd5b0747e01b25833bb8c66ac094e1602d3c1370afcd9f230ef1e35817a",
    "cross_cats_sorted": [
      "gr-qc"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "astro-ph.IM",
    "submitted_at": "2026-05-15T17:03:40Z",
    "title_canon_sha256": "cf404ba5f2d9a88cc151eb71719134f57fc7b1a988c130ec0018b832e8ca4bba"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.16183",
    "kind": "arxiv",
    "version": 1
  }
}