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Paper Citation Record · LEDGER

Bayesian Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.01490.

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

pith.paper-citation-record.v1
2006.01490 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:01.512630Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T05:16:38.812900Z

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 cfb97bad-7562-4ce6-9cc2-3cc1a324bb1a · inbound

DEF: Diffusion-augmented Ensemble Forecasting cites this paper.

DEF: Diffusion-augmented Ensemble Forecasting Bayesian Neural Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:01.512630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:01.512630Z digest=sha256:88e183250356ceae1d9255125c7fd89aeba04fb4f030f21f929ab5c8deb3bb4a

Observation e1ebfcfb-050f-4d5e-b11c-7717c47e6ef2 · inbound

Why Pool When You Can Flow? Active Learning with GFlowNets cites this paper.

Why Pool When You Can Flow? Active Learning with GFlowNets Bayesian Neural Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T13:26:44.294567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:26:44.294567Z digest=sha256:b08205049bc216631c2559bfa17c30e3ca0f22a9450338d0f2e20dab2eb23898

Observation e657862a-84a9-4220-ac65-b1696ed72870 · inbound

The impact of source and survey modelling on the connection between [O III] emitters and Ly $\alpha$ forest transmission at z ~ 6 cites this paper.

The impact of source and survey modelling on the connection between [O III] emitters and Ly $\alpha$ forest transmission at z ~ 6 Bayesian Neural Networks

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:16:38.814312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T08:30:12.037696Z digest=sha256:8b0dae561b83c0711d6ce791ac6646b451aaede69e8b274f395645575c91d91c