Pith. sign in

Paper Citation Record · LEDGER

Automatic Differentiation of Programs with Discrete Randomness

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.08572.

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

pith.paper-citation-record.v1
2210.08572 v3

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:31:06.198709Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:45:14.946895Z

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 eb713aa5-e775-462e-83d4-f92c6c57a547 · inbound

Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe cites this paper.

Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe Automatic Differentiation of Programs with Discrete Randomness

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T21:31:06.198709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:31:06.198709Z digest=sha256:f5d6ef82987f8e23e2b6e70f9bd3fc7350a1f62e81b3a0191d544bf442ecab16

Observation 045f699c-68f5-4f81-9b29-b8f028e9334e · inbound

A Principled Bayesian Framework for Training Binary and Spiking Neural Networks cites this paper.

A Principled Bayesian Framework for Training Binary and Spiking Neural Networks Automatic Differentiation of Programs with Discrete Randomness

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:45:15.023890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:13.498759Z digest=sha256:9dc4dc0aaab6a50c1d64ee1b49dd2a239b2acfec7cb29df55f757ce8eb9303af