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Paper Citation Record · LEDGER

Deep Learning for Dynamic Programming with Recursive Utility Using First-order Conditions

As of 13 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2607.09461.

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

pith.paper-citation-record.v1
2607.09461 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T02:52:59.605290Z

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87524e6b-1780-4389-bc26-0ae16b5e799c · outbound

This paper cites Economics-Inspired Neural Networks with Stabilizing Homotopies.

Deep Learning for Dynamic Programming with Recursive Utility Using First-order Conditions Economics-Inspired Neural Networks with Stabilizing Homotopies

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-13T02:52:59.605290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T02:52:59.605290Z digest=sha256:6aa21716282aca2122a034a4644c7f1d2f6cec0adf0881327ad5f6bfa502814b

Observation e493edb4-7a09-425c-b6e7-4eb797c0ef63 · outbound

This paper cites Optimal consumption and portfolio selection with Epstein-Zin utility under general constraints.

Deep Learning for Dynamic Programming with Recursive Utility Using First-order Conditions Optimal consumption and portfolio selection with Epstein-Zin utility under general constraints

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T02:52:59.605290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T02:52:59.605290Z digest=sha256:6b58d3162ea5d76a5da97bb27ba728589e5e5fd19041211ebcf31411ba5a8533

Pith citing papers

No inbound Pith citation observations are available.