Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Joint inference for gravitational wave signals and glitches using a data-informed glitch model
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.00657.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:29:57.424422Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T22:31:52.913952Z
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 d4de624e-7f30-4731-958a-4bebe91b1e96 · 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 Joint inference for gravitational wave signals and glitches using a data-informed glitch model
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:29:57.424422Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24738ca0-f37c-4066-9b09-f281c15f8596 · inbound
Hunting for new glitches in LIGO data using community science cites this paper.
Hunting for new glitches in LIGO data using community science Joint inference for gravitational wave signals and glitches using a data-informed glitch model
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T22:31:52.917814Z
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.
Observation 8d5a7e0a-85d6-47f6-86ef-c2f3d2f21875 · inbound
Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows cites this paper.
Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows Joint inference for gravitational wave signals and glitches using a data-informed glitch model
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:41:05.282732Z
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.