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Paper Citation Record · LEDGER

Deep Hamiltonian networks based on symplectic integrators

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.13830.

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

pith.paper-citation-record.v1
2004.13830 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:10:27.225559Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:10:22.192167Z

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 ff4b083b-91ce-4eee-923f-722793d1698a · inbound

Learning Stochastic Hamiltonian Systems via Stochastic Generating Function Neural Network cites this paper.

Learning Stochastic Hamiltonian Systems via Stochastic Generating Function Neural Network Deep Hamiltonian networks based on symplectic integrators

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T16:10:27.225559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:27.225559Z digest=sha256:a697354dd220e3d737553ed472aa2510c4a80b89f01452731d7339fa3d819122

Observation ee9a0529-029e-4b09-8492-0ef944975589 · inbound

Learning partially observed systems with neural Hamiltonian ordinary differential equations cites this paper.

Learning partially observed systems with neural Hamiltonian ordinary differential equations Deep Hamiltonian networks based on symplectic integrators

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:10:22.194863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T05:07:49.969047Z digest=sha256:3ca22ea25c1fb17d7a9c90b73e1973a04b5c2c05c05ffb3ee39ed7fcf5d7e0a8