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Paper Citation Record · LEDGER

Extensions of the Deep Galerkin Method

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.01455.

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

pith.paper-citation-record.v1
1912.01455 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:47:38.576228Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 ba0005e2-2b2a-4e39-ad0d-4668aa96a632 · inbound

Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures cites this paper.

Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures Extensions of the Deep Galerkin Method

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T16:47:38.576228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:47:38.576228Z digest=sha256:279eb770f02c183a86f9a445bf02f83cce127e73c2a6fb107a63b17e85755589

Observation 26b71027-69ca-47be-8798-e76f4310162d · inbound

DeepPAAC: A New Deep Galerkin Method for Principal-Agent Problems cites this paper.

DeepPAAC: A New Deep Galerkin Method for Principal-Agent Problems Extensions of the Deep Galerkin Method

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T23:50:22.381388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:50:22.381388Z digest=sha256:d97a0c30699c03601e523bc7bbc76f64eea8308f6f4c1f7f71c9b3d934bc69db