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Paper Citation Record · LEDGER

Utilizing maximum likelihood estimator for flow analysis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.00336.

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

pith.paper-citation-record.v1
2304.00336 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:16:13.793658Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:31:25.835457Z

Reference resolution

0 of 0 outbound references displayed

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  • 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 cace62f7-726c-4549-b877-0271cfb56c27 · inbound

An MLE analysis on the relationship between the initial-state granularity and final-state flow factorization cites this paper.

An MLE analysis on the relationship between the initial-state granularity and final-state flow factorization Utilizing maximum likelihood estimator for flow analysis

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-08T18:16:13.793658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:16:13.793658Z digest=sha256:841447088f1e5b93c794eb29d3c56528e47983d404d2300cd154c69b5af6f4ac

Observation 1387565d-7c96-45d5-ae23-e56955775112 · inbound

Effectiveness of nonflow suppression using multi-particle correlators cites this paper.

Effectiveness of nonflow suppression using multi-particle correlators Utilizing maximum likelihood estimator for flow analysis

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:31:25.836986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T10:43:35.973952Z digest=sha256:68c3a933e909061172acf733c43247e25bee6dadfa9c35b320d3c703d71cd9c7