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Paper Citation Record · LEDGER

Learning Deep Dissipative Dynamics

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.11479.

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

pith.paper-citation-record.v1
2408.11479 v2

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:26:38.299376Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:04:04.209009Z

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 86482bd5-5ff6-4dd8-ba59-03bd2a0cdf27 · inbound

Harnessing Nonidealities in Analog In-Memory Computing Circuits: A Physical Modeling Approach for Neuromorphic Systems cites this paper.

Harnessing Nonidealities in Analog In-Memory Computing Circuits: A Physical Modeling Approach for Neuromorphic Systems Learning Deep Dissipative Dynamics

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-11T17:26:38.299376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:26:38.299376Z digest=sha256:8e6c490fdcfdbd19ad52c7137277d7f24cf327d64d13158f0b8649756663e826

Observation 1742c347-0796-4a4e-a296-5d24550fa016 · inbound

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity cites this paper.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Learning Deep Dissipative Dynamics

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-07T06:04:04.282300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T06:04:03.115468Z digest=sha256:a9b3b56fa1f883b4e488e6c98612536874799769b451404b4f71e6e7a04a3e83