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Paper Citation Record · LEDGER

The Bayesian Learning Rule

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.04562.

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

pith.paper-citation-record.v1
2107.04562 v4

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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:54:19.934870Z

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

7
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 f2bb4020-8ca8-43b6-917d-027d70a03c48 · inbound

Improved Stochastic Optimization of LogSumExp cites this paper.

Improved Stochastic Optimization of LogSumExp The Bayesian Learning Rule

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T13:54:19.934870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:54:19.934870Z digest=sha256:d3fcf92f09462d780dcd8ed451702438701756f157859772d17d06d01a70566f

Observation 891ed7d3-3af6-4f0c-ab26-1a09a09d722c · inbound

Bayesian inference with sources of uncertainty: from confidence modelling to sparse estimation cites this paper.

Bayesian inference with sources of uncertainty: from confidence modelling to sparse estimation The Bayesian Learning Rule

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:55:45.485586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T17:56:04.356255Z digest=sha256:5314cd96c52ce9a5793bbf0ea120f21a2a03cd8fe500368d54ffbdf5c183071b

Observation 35604273-3dbf-43b5-bd8f-bbeeb872addd · inbound

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior cites this paper.

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior The Bayesian Learning Rule

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-26T08:49:14.928006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T08:45:34.884703Z digest=sha256:e983ec3cbefb2f70f1c64d5b62a245e0fe2891d934cd89a8ce1e75178456df4e