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Paper Citation Record · LEDGER

EMRI_MC: A GPU-based Python code for Bayesian inference of EMRI waveforms

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.17174.

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

pith.paper-citation-record.v1
2311.17174 v2

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 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:17:44.818495Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:24:38.200752Z

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 089c89cd-0235-431d-ab7d-0ab09e30bd35 · inbound

Gravitational wave propagation in bigravity in the late universe cites this paper.

Gravitational wave propagation in bigravity in the late universe EMRI_MC: A GPU-based Python code for Bayesian inference of EMRI waveforms

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:22:58.677559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T04:22:07.751835Z digest=sha256:51724e0fd9d5d612dc89f33cf5847d2f2c7ed7ebb570a66c0443a08781ae666d

Observation 1f180bed-4464-4821-b206-f6ff807a7008 · inbound

Unlocking New Paths for Science with Extreme-Mass-Ratio Inspirals: Machine Learning-Enhanced MCMC for Accurate Parameter Inversion cites this paper.

Unlocking New Paths for Science with Extreme-Mass-Ratio Inspirals: Machine Learning-Enhanced MCMC for Accurate Parameter Inversion EMRI_MC: A GPU-based Python code for Bayesian inference of EMRI waveforms

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T10:17:44.818495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:17:44.818495Z digest=sha256:c49fd4c664f08f811b5beb226faf0285ad8652e65aef6d8b02ab9605b1422ca5

Observation 099e6f7f-c418-485b-b332-cb8beb9ccbf6 · inbound

Conversational Query Engine for Mixed-Modality Heterogeneous Enterprise Data Sources cites this paper.

Conversational Query Engine for Mixed-Modality Heterogeneous Enterprise Data Sources EMRI_MC: A GPU-based Python code for Bayesian inference of EMRI waveforms

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:24:38.202498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T11:18:16.375558Z digest=sha256:b5b16ca34ba56f9934a690b50b69351f8289634fd6e931850bd8fa0859f00c4c