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Paper Citation Record · LEDGER

Reconstructing $S$-matrix Phases with Machine Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:13:13.781916Z

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

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  • verified fuzzy0
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  • parse uncertain0
  • malformed identifier0
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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 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.

source=pdf_text observed=2026-08-11T16:59:46.501909Z digest=sha256:bdfc9f55eb24afa2e89fc863b643fa81193c10ab7d3a9497f891ef153fa8cfa5

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.

source=pdf_text observed=2026-08-07T21:11:56.457890Z digest=sha256:6e32bc26efa83fbe50124cda2a9617d63b7a00cb7b26f91de9e0effbe17e5f77

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T00:00:12.685911Z digest=sha256:9096949df99f23f2d2f0c5b3165efa43bcdf245083669f09cb5d63f7eeb95095

Observation e144ce6d-224a-4af9-bf43-815095018f29 · inbound

Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification cites this paper.

Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification Reconstructing $S$-matrix Phases with Machine Learning

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-15T18:13:13.781916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:13:13.781916Z digest=sha256:05865513c9a3fbe4c509783c87c4873ea5fd1b4fdc6753cb1aaa9fa0f5f28979

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T21:43:03.494344Z digest=sha256:919be54cecdb3322ecd6e842431234e6593fd19a32fd0b1437d7700bc0943f3f

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.

source=pdf_text observed=2026-08-04T05:40:05.316509Z digest=sha256:17c940c252534aefbe8ba8a71b7f7a179dd17538f307724bbe7f55de2bd25236