Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:26:59.392753Z

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

  • 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 61c24668-7b6c-45c1-ad61-ea22c339f226 · inbound

Resolution requirements for numerical modeling of neutrino quantum kinetics cites this paper.

Resolution requirements for numerical modeling of neutrino quantum kinetics Physics-Informed Neural Networks for Predicting the Asymptotic Outcome of Fast Neutrino Flavor Conversions

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:59.392753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:26:59.392753Z digest=sha256:1a6d5af3d24d67aab2529f02a3914eb3199d5a5a01d579c9fbfb97594e811b73

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.

source=pdf_text observed=2026-08-07T14:58:58.704563Z digest=sha256:48f9812e3ca6bef57b722a8bbbb636846fdd66635fa35e584bf945b5e135e7cd

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.

source=pdf_text observed=2026-08-07T05:49:22.086963Z digest=sha256:23ae0f2213e459e552f2d4db3626828e3866d1ad6090b757b244b8bc527c67e1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T04:34:03.950842Z digest=sha256:c5a3f771c5c2e6b61491bede4cd0b94fe162e8fb74e4c95b9b922791586ccb76

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T15:58:06.378902Z digest=sha256:3cbb2853a66285c8ff1118147c7a984ad7756edeaf5b300f6ce755d091a7a044