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Paper Citation Record · LEDGER

Sparsifying Priors for Bayesian Uncertainty Quantification in Model Discovery

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.02107.

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

pith.paper-citation-record.v1
2107.02107 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:52:48.948311Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:06:20.004125Z

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 6a542827-542d-41ec-b360-867f0074487c · inbound

SINDybrid: automatic generation of hybrid models for dynamic systems cites this paper.

SINDybrid: automatic generation of hybrid models for dynamic systems Sparsifying Priors for Bayesian Uncertainty Quantification in Model Discovery

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T00:52:48.948311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:52:48.948311Z digest=sha256:32c3e41e50a9e678bc3a475a3b47e579c8be4efbec6de02a105e08873e0f7111

Observation 7c716740-c08a-4b21-9ddd-b61e692f5a7d · inbound

Cost-effective Reduced-Order Modeling via Bayesian Active Learning cites this paper.

Cost-effective Reduced-Order Modeling via Bayesian Active Learning Sparsifying Priors for Bayesian Uncertainty Quantification in Model Discovery

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:06:20.105666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:06:14.772888Z digest=sha256:b7b003d6a453ea7374614049afb17f5f13d840459ced0beac8ebb8e88071aeff