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Paper Citation Record · LEDGER

Differential Machine Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.02347.

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

pith.paper-citation-record.v1
2005.02347 v4

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:47:23.695680Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:17:09.573107Z

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 57243ccd-b28b-491d-9bff-58c964a64606 · inbound

Hybrid least squares for learning functions from highly noisy data cites this paper.

Hybrid least squares for learning functions from highly noisy data Differential Machine Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T20:47:23.695680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:47:23.695680Z digest=sha256:3e39f205ce199f7f8f4684718cbafb12b3a8b03796a0dff95a26c6614fbdd02c

Observation fed6f6e4-e957-415b-aab2-fe079096a7b9 · inbound

Derivative-Informed Operator Learning for Finance: On-the-Fly Greeks, Surfaces, Hedging, and Control cites this paper.

Derivative-Informed Operator Learning for Finance: On-the-Fly Greeks, Surfaces, Hedging, and Control Differential Machine Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:17:09.574449Z

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=2026-06-27T22:49:08.424468Z digest=sha256:ff47b5ec4127c37e0d0d02d01cf63cf64eab01a6f280b336e9b0f54ae412886a