Pith. sign in

Paper Citation Record · LEDGER

Metric Flows with Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.19870.

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

pith.paper-citation-record.v1
2310.19870 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:30.140010Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T16:55:50.599868Z

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 683e783d-ddfe-4b14-8f1b-9fd1dcd1e8a4 · inbound

Machine Learning the 6d Supergravity Landscape cites this paper.

Machine Learning the 6d Supergravity Landscape Metric Flows with Neural Networks

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:30.140010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:30.140010Z digest=sha256:ec386685b2b371ef5d279fbdf9d7352ad1b28604578a586b34834942753e4451

Observation 2a142dca-2d95-4c68-b6c1-1597d7cc7c21 · inbound

Minimising Willmore Energy via Neural Flow cites this paper.

Minimising Willmore Energy via Neural Flow Metric Flows with Neural Networks

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:00:47.565425Z

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=2026-05-10T20:23:33.885359Z digest=sha256:11cd2a4cfa6d859fb22ee6777c28a17bffc45d9158731b08eefbb5dc13d7b056

Observation 139bc70b-6560-444b-ab47-4dab36762c1d · inbound

Minimal surfaces, Knots, and Neural Networks cites this paper.

Minimal surfaces, Knots, and Neural Networks Metric Flows with Neural Networks

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:55:50.601332Z

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=2026-06-29T20:08:35.975262Z digest=sha256:676d2cb4e61a785c1a060c9f3a63b674cbaa2386a71f39e978b10d1b495c5601

Observation a98c206c-e43f-4722-96d0-424dc4026772 · inbound

Pre-Strings Lectures on Artificial Intelligence cites this paper.

Pre-Strings Lectures on Artificial Intelligence Metric Flows with Neural Networks

Reference 166

Resolution
unresolved
no resolver link, observed 2026-07-12T06:14:03.658427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:14:03.658427Z digest=sha256:d2473250d3c87559b7b62e77af3a780ec5e8fe7547fc3f43e249aec9d7382c43