Paper Citation Record · LEDGER

Physics-Informed Neural Networks for Predicting the Asymptotic Outcome of Fast Neutrino Flavor Conversions

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.15656.

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

pith.paper-citation-record.v1
2311.15656 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:58.704563Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:37:04.116434Z

Reference resolution

0 of 0 outbound references displayed

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verified fuzzy0
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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 980bbf6d-10c9-4265-9ace-4137a59ba56c · inbound

Predicting the outcome of collisional neutrino flavor conversion cites this paper.

Predicting the outcome of collisional neutrino flavor conversion Physics-Informed Neural Networks for Predicting the Asymptotic Outcome of Fast Neutrino Flavor Conversions

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:58.704563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebe4702a-356e-4f9f-8517-c052172f1b66 · inbound

Comparative Testing of Subgrid Models for Fast Neutrino Flavor Conversions in Core-collapse Supernova Simulations cites this paper.

Comparative Testing of Subgrid Models for Fast Neutrino Flavor Conversions in Core-collapse Supernova Simulations Physics-Informed Neural Networks for Predicting the Asymptotic Outcome of Fast Neutrino Flavor Conversions

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T05:49:22.086963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94efda41-c9c2-4ab7-bf11-61d4ec8fd1e4 · inbound

R-process heating implementation in hydrodynamic simulations with neural networks cites this paper.

R-process heating implementation in hydrodynamic simulations with neural networks Physics-Informed Neural Networks for Predicting the Asymptotic Outcome of Fast Neutrino Flavor Conversions

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:37:04.119234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff1ffbb5-7a4c-487e-9e92-11ba12be8f79 · inbound

Collective neutrino-antineutrino pair oscillations cites this paper.

Collective neutrino-antineutrino pair oscillations Physics-Informed Neural Networks for Predicting the Asymptotic Outcome of Fast Neutrino Flavor Conversions

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:56:16.178808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.