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Paper Citation Record · LEDGER

Lectures on Probability, Entropy, and Statistical Physics

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:0808.0012.

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

pith.paper-citation-record.v1
0808.0012 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:30:59.231477Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T23:09:01.608703Z

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 e0894dd9-65d2-49c9-80a0-00f9d2df7d81 · inbound

The Coherence Principle: A Falsifiable Prior for Model Selection from the Grammar of Theories cites this paper.

The Coherence Principle: A Falsifiable Prior for Model Selection from the Grammar of Theories Lectures on Probability, Entropy, and Statistical Physics

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-03T23:09:01.609840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T22:49:06.295898Z digest=sha256:5f63b454b8f2858195f299fef668c62bdabc61dc9ae404b571f4dd643aea64e2

Observation b0afe169-3bd3-4a9f-aae7-da81e0ebbbdd · inbound

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression cites this paper.

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression Lectures on Probability, Entropy, and Statistical Physics

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T00:30:59.231477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:30:59.231477Z digest=sha256:e67249ee2a1755e7623ecd6f2d38c6b10103f4ce7758a785c43168147d56e1d6