Paper Citation Record · LEDGER

Reconstructing $S$-matrix Phases with Machine Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.09451.

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

pith.paper-citation-record.v1
2308.09451 v1

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 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:59:46.501909Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:00:47.487869Z

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 1039160f-b768-415c-b7b4-e186f0b5434a · inbound

The S-matrix bootstrap with neural optimizers I: zero double discontinuity cites this paper.

The S-matrix bootstrap with neural optimizers I: zero double discontinuity Reconstructing $S$-matrix Phases with Machine Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T16:59:46.501909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 674f07e1-ca0f-4baf-b11d-b93d776a2215 · inbound

Explainable AI-assisted Optimization for Feynman Integral Reduction cites this paper.

Explainable AI-assisted Optimization for Feynman Integral Reduction Reconstructing $S$-matrix Phases with Machine Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T21:11:56.457890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba27b10-6005-42b7-8025-483a8f2caeb8 · inbound

Primal S-matrix bootstrap with dispersion relations cites this paper.

Primal S-matrix bootstrap with dispersion relations Reconstructing $S$-matrix Phases with Machine Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:00:47.489942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0b6ea5af-3bca-47f4-9ac9-a3814ebb95f3 · inbound

Descending into the Modular Bootstrap cites this paper.

Descending into the Modular Bootstrap Reconstructing $S$-matrix Phases with Machine Learning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:43:18.861474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d8758b0-5d8d-4ebf-baab-4940c40235a7 · inbound

Descending into the Modular Bootstrap cites this paper.

Descending into the Modular Bootstrap Reconstructing $S$-matrix Phases with Machine Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T05:40:05.316509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.