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Paper Citation Record · LEDGER

Automatic Differentiation of Algorithms for Machine Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1404.7456.

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

pith.paper-citation-record.v1
1404.7456 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:57:32.601088Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T13:34:31.733280Z

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 cf58788c-03c5-465f-b822-9726cc32f5b2 · inbound

CHAD: Combinatory Homomorphic Automatic Differentiation cites this paper.

CHAD: Combinatory Homomorphic Automatic Differentiation Automatic Differentiation of Algorithms for Machine Learning

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-24T13:34:31.736420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-24T13:33:33.422630Z digest=sha256:dcd52d0fa86b2e429231a6d4296099f9b208f7cdc79b0a08fb55aeb84ed05e18

Observation d5f0624c-828d-49f7-b72b-b400a2d46b6f · inbound

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition cites this paper.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Automatic Differentiation of Algorithms for Machine Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T17:57:32.601088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:57:32.601088Z digest=sha256:fde49c59056f167a3710caf6031abff08e868a120d8d2f2768d98cf47ef287a8