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Paper Citation Record · LEDGER

Lipschitz Flow-box Theorem

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:math/0305207.

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

pith.paper-citation-record.v1
math/0305207 v4

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 2026-08-06T12:10:08.682856Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T00:45:12.031738Z

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 b2d31095-021e-4f88-bcba-58b5641222cb · inbound

Weight-Parameterization in Continuous Time Deep Neural Networks for Surrogate Modeling cites this paper.

Weight-Parameterization in Continuous Time Deep Neural Networks for Surrogate Modeling Lipschitz Flow-box Theorem

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T12:10:08.682856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:10:08.682856Z digest=sha256:68b7fcb78d8f2be9ba425f60fc1632fcd34df296d341f0196cf669d67aa68ea0

Observation cd287d5b-0645-4350-a70b-dbf1ec90104e · inbound

A Theory of Saddle Escape in Deep Nonlinear Networks cites this paper.

A Theory of Saddle Escape in Deep Nonlinear Networks Lipschitz Flow-box Theorem

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:51:05.654512Z

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=2026-05-09T14:54:47.763122Z digest=sha256:8bab7ffe6b052864d0e25de7ca47be25d109c8e07033e43cb338b48a4ec5624f

Observation b0f4689c-0a32-4147-8919-ab326ef0bb78 · inbound

A Theory of Saddle Escape in Deep Nonlinear Networks cites this paper.

A Theory of Saddle Escape in Deep Nonlinear Networks Lipschitz Flow-box Theorem

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:54.583026Z

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=2026-05-11T02:22:38.751375Z digest=sha256:56ce80078a0f992380f2f70a79f50fb7f91c4d321af23059c1e32ccac815f800

Observation 53c2eaa4-ff91-4317-a50d-c956b05cac48 · inbound

A Theory of Saddle Escape in Deep Nonlinear Networks cites this paper.

A Theory of Saddle Escape in Deep Nonlinear Networks Lipschitz Flow-box Theorem

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-01T00:45:12.033227Z

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=2026-07-01T00:37:16.364388Z digest=sha256:4cdeec02d967530ff018cdbcec156db01fcb7922e7e65d1c4a92a6be546b9511