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Paper Citation Record · LEDGER

Only Bayes should learn a manifold (on the estimation of differential geometric structure from data)

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1806.04994.

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

pith.paper-citation-record.v1
1806.04994 v3

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 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:06:45.672542Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:21:24.692078Z

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 b5693672-5702-4ac8-9e84-5e9ce41db6e1 · inbound

Expected path length on random manifolds cites this paper.

Expected path length on random manifolds Only Bayes should learn a manifold (on the estimation of differential geometric structure from data)

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T12:25:32.618536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:25:32.618536Z digest=sha256:b97670302bd2cb7ed98e557a619f3163233ee73ab24f09f3301c66bcbee904b0

Observation 77883f36-862b-4a77-9fb9-7b88a816196e · inbound

Extended Neural Contractive Dynamical Systems: On Multiple Tasks and Riemannian Safety Regions cites this paper.

Extended Neural Contractive Dynamical Systems: On Multiple Tasks and Riemannian Safety Regions Only Bayes should learn a manifold (on the estimation of differential geometric structure from data)

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T18:42:43.922462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:42:43.922462Z digest=sha256:01b1a1106c47b5f8a09db51d4b261e5b461a998647fe1904cd142ace332adcde

Observation 31b66493-38ef-4735-921f-89d458cfebf5 · inbound

Geometric Contact Flows: Contactomorphisms for Dynamics and Control cites this paper.

Geometric Contact Flows: Contactomorphisms for Dynamics and Control Only Bayes should learn a manifold (on the estimation of differential geometric structure from data)

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T19:06:45.672542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:06:45.672542Z digest=sha256:5d769b86a902df4d380d60a8505003d518cf52ebaee1134fe90ebd792fe4417f

Observation 04025070-ba0a-4acc-b1a6-3a63587d61e4 · inbound

Medical Model Synthesis Architectures: A Case Study cites this paper.

Medical Model Synthesis Architectures: A Case Study Only Bayes should learn a manifold (on the estimation of differential geometric structure from data)

Reference 300

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:21:24.695195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-12T03:27:59.466519Z digest=sha256:66c97eab488e319542e24024326bd77cbe2aaac95d44520104dff5c438fdd764