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Paper Citation Record · LEDGER

Neural density estimation for Galactic Binaries in LISA data analysis

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.13701.

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

pith.paper-citation-record.v1
2402.13701 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:42:50.634520Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:59:59.125605Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 39c53c40-77af-44c9-82cd-8df76d69ed94 · inbound

Applications of machine learning in gravitational wave research with current interferometric detectors cites this paper.

Applications of machine learning in gravitational wave research with current interferometric detectors Neural density estimation for Galactic Binaries in LISA data analysis

Reference 243

Resolution
unresolved
no resolver link, observed 2026-08-11T11:42:50.634520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:42:50.634520Z digest=sha256:8957ed197e74bb3087061279ab7a41b8724c986d73b3e974094622f6445bc7aa

Observation c3ac712a-45a1-4e8d-9681-e02dad535cf2 · inbound

Modular global-fit pipeline for LISA data analysis cites this paper.

Modular global-fit pipeline for LISA data analysis Neural density estimation for Galactic Binaries in LISA data analysis

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T19:21:48.873540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:21:48.873540Z digest=sha256:f05e6ac1d7f752db251f450859b7f3cbf07ad07c6c765c280467c0a98f469886

Observation 4ba45537-7718-41c1-ba44-aa91b1013a95 · inbound

Parameter Estimation for Eccentric Supermassive Black Hole Binaries with Pulsar Timing Arrays cites this paper.

Parameter Estimation for Eccentric Supermassive Black Hole Binaries with Pulsar Timing Arrays Neural density estimation for Galactic Binaries in LISA data analysis

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:59:59.131597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:59:59.089020Z digest=sha256:7b7a57d46733ca91e830710111653dccb9598d47562d4b299ea490afba6f7aea