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Paper Citation Record · LEDGER

Bayesian Neural Ordinary Differential Equations

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2012.07244.

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

pith.paper-citation-record.v1
2012.07244 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:25:16.282255Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

16
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4012450c-d95a-4c1b-9026-09d92142f98b · inbound

Safe Active Learning for Gaussian Differential Equations cites this paper.

Safe Active Learning for Gaussian Differential Equations Bayesian Neural Ordinary Differential Equations

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:16.282255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:25:16.282255Z digest=sha256:d4a37075fc3d1a51a475d467e8d6f91e1ca5e80b98cc150458b94fb2736742c8

Observation 5dda332b-5c96-4663-9ffa-d72eb751db65 · inbound

Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements cites this paper.

Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements Bayesian Neural Ordinary Differential Equations

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:22:49.282209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T19:17:13.031769Z digest=sha256:d32d87f21bc8e9d3bd07115babd23a4bdd8d528c08dfaad0f0aced5838768210

Observation dc474e24-6dce-4051-8298-53e0a4823654 · inbound

Experimental Design for Missing Physics cites this paper.

Experimental Design for Missing Physics Bayesian Neural Ordinary Differential Equations

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:19:49.515160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-15T07:17:58.212264Z digest=sha256:ce7273e37ae8eb5cbd1020e7aaaf15137803e04568ef88d631588b14619ddf67

Observation fced1260-41b8-4c61-ac26-6166a909aafa · inbound

Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction cites this paper.

Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction Bayesian Neural Ordinary Differential Equations

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T15:57:06.613342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T23:16:11.876310Z digest=sha256:a8657e1e7294cf26be3534f126b272d595f3a818c9c80dc02af131d3a0f02bd3

Observation 2e90b15a-be33-499a-9167-bfc17415e997 · inbound

What Uncertainties Do We Need for Dynamical Systems? cites this paper.

What Uncertainties Do We Need for Dynamical Systems? Bayesian Neural Ordinary Differential Equations

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T09:47:59.657288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T10:19:47.214822Z digest=sha256:6421950273cd02843e72a37157e669f41b3abf5c01f4fcd4ce89c45c3b2c1db3

Observation 1cb3af24-436b-47d5-bbaa-4c1fdb63d913 · inbound

Structural functional identifiability and model discovery in differential equation models cites this paper.

Structural functional identifiability and model discovery in differential equation models Bayesian Neural Ordinary Differential Equations

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T04:14:19.519173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T03:47:07.401052Z digest=sha256:a589a1da7896efe2fe3199d8dfd03d6ea4f37399fb59e0ce7a5f8fb1c5bc13cb