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Paper Citation Record · LEDGER

A neural network emulator of the Advanced LIGO and Advanced Virgo selection function

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.16828.

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

pith.paper-citation-record.v1
2408.16828 v2

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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:42:34.810300Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:37:03.645056Z

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 9037510d-0a67-40c1-84f4-143473ccdff5 · inbound

Comparing astrophysical models to gravitational-wave data in the observable space cites this paper.

Comparing astrophysical models to gravitational-wave data in the observable space A neural network emulator of the Advanced LIGO and Advanced Virgo selection function

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:37:03.648301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T04:36:12.661648Z digest=sha256:23bf9f422a7e362a9f0071046c5a0a65ba2b6f630a903f76923cfc0790b03949

Observation 44ec8325-aefa-4246-99a0-e9c0401a939b · inbound

When (not) to trust Monte Carlo approximations for hierarchical Bayesian inference cites this paper.

When (not) to trust Monte Carlo approximations for hierarchical Bayesian inference A neural network emulator of the Advanced LIGO and Advanced Virgo selection function

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-04T22:42:34.810300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:42:34.810300Z digest=sha256:f56b410e0c69ae410739668203e74c9d7f5ee6b22fb041bc1989e802eb01da8c

Observation 3dc1d5de-bb1c-44ca-aedd-8b2ff1113d4f · inbound

An Implementation to Identify the Properties of Multiple Population of Gravitational Wave Sources cites this paper.

An Implementation to Identify the Properties of Multiple Population of Gravitational Wave Sources A neural network emulator of the Advanced LIGO and Advanced Virgo selection function

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:06:39.218243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T17:06:36.862923Z digest=sha256:a0723e084b31c9c723982ff4439205d166eadf633f4b84fdaa48214c699fafe1

Observation 9d1aae85-5bb4-40f3-9717-a30946bc06a0 · inbound

End-to-End Population Inference from Gravitational-Wave Strain using Transformers cites this paper.

End-to-End Population Inference from Gravitational-Wave Strain using Transformers A neural network emulator of the Advanced LIGO and Advanced Virgo selection function

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:02:06.138259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T02:01:54.336667Z digest=sha256:dd60a88a8d2a6cbc178a313ae21ee5e89dc236df89c7f064bd2a307984d2b6c1

Observation 60f7e09d-7565-4ceb-b770-54f0038b6415 · inbound

Fortifying gravitational-wave population inference with normalizing flows cites this paper.

Fortifying gravitational-wave population inference with normalizing flows A neural network emulator of the Advanced LIGO and Advanced Virgo selection function

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-02T11:36:03.941211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:36:03.941211Z digest=sha256:67a46f128b86bb8be76b60bb01b8688452b8e6bf40cb5e590453b8e479aeb902