Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Detection and characterization of instrumental transients in LISA Pathfinder and their projection to LISA
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2112.07490.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:59:09.313791Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T08:05:30.878757Z
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 b12a4d9d-8d68-4e00-8379-255cf73f0da9 · inbound
Sequential simulation-based inference for extreme mass ratio inspirals cites this paper.
Sequential simulation-based inference for extreme mass ratio inspirals Detection and characterization of instrumental transients in LISA Pathfinder and their projection to LISA
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:59:09.313791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8949677-1967-4e19-9c98-f73c76499bb9 · inbound
A pipeline for searching and fitting instrumental glitches in LISA data cites this paper.
A pipeline for searching and fitting instrumental glitches in LISA data Detection and characterization of instrumental transients in LISA Pathfinder and their projection to LISA
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:14:29.240115Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0906f03d-3ab2-42ff-ba85-faa09d4c488b · inbound
Global time-frequency search for stellar-mass binary black holes in LISA cites this paper.
Global time-frequency search for stellar-mass binary black holes in LISA Detection and characterization of instrumental transients in LISA Pathfinder and their projection to LISA
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:05:30.881724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 875001ef-3e0c-4652-b1c8-2f0145054692 · inbound
First-time assessment of glitch-induced bias and uncertainty in inference of extreme mass ratio inspirals cites this paper.
First-time assessment of glitch-induced bias and uncertainty in inference of extreme mass ratio inspirals Detection and characterization of instrumental transients in LISA Pathfinder and their projection to LISA
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:38:34.143804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a26adee8-d637-4f9f-a71d-ba0b0f7f07bb · inbound
Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis cites this paper.
Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis Detection and characterization of instrumental transients in LISA Pathfinder and their projection to LISA
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:55:43.653138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e44ff44-4dc2-4bb8-a4f1-9e25e5c6e3f1 · 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 Detection and characterization of instrumental transients in LISA Pathfinder and their projection to LISA
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:50:25.849242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.