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Paper Citation Record · LEDGER

Learning Neural Differential Algebraic Equations via Operator Splitting

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.12938.

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

pith.paper-citation-record.v1
2403.12938 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:16:33.332994Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:17:37.094015Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 75f41723-a755-4cc3-a4c5-d976116bf91b · inbound

Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks cites this paper.

Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks Learning Neural Differential Algebraic Equations via Operator Splitting

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T15:16:33.332994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:16:33.332994Z digest=sha256:92e97c0fe8e59a7756662db446cc52a527883a1efa33746a37f304ed085e89f6

Observation d9bb684b-c245-40c4-8340-d998e1183355 · inbound

Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic Constraints cites this paper.

Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic Constraints Learning Neural Differential Algebraic Equations via Operator Splitting

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:26.679665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:26.679665Z digest=sha256:977b42d66e2a81a1d13be63a2e3fa87717869a64aaf68af810000eed021beaca

Observation 3623a76e-86f3-4432-814e-74caa86de31c · inbound

Physics-Guided Dimension Reduction for Simulation-Free Operator Learning of Stiff Differential-Algebraic Systems cites this paper.

Physics-Guided Dimension Reduction for Simulation-Free Operator Learning of Stiff Differential-Algebraic Systems Learning Neural Differential Algebraic Equations via Operator Splitting

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T03:03:37.396234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T03:02:34.692289Z digest=sha256:4e5312193c2c35a529180574da63dd172f76f2f33fca69dbaed44ab706bacb12

Observation 0082b654-4d8f-465a-bd37-499d0259abf3 · inbound

HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs cites this paper.

HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs Learning Neural Differential Algebraic Equations via Operator Splitting

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:16:10.749227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-09T18:00:55.330564Z digest=sha256:56c8c957b9713d94d35476cb1fe8ee6273dbe30edef91465399770ae6928d454

Observation 7bfd1f98-0aff-49c0-89f7-779ba015bc72 · inbound

Embedding Hybrid Systems into Continuous Latent Vector Fields cites this paper.

Embedding Hybrid Systems into Continuous Latent Vector Fields Learning Neural Differential Algebraic Equations via Operator Splitting

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:17:37.096188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T14:04:40.078357Z digest=sha256:e7bdcb4999c5606c5aaaf48a910ce41fdd83f5962cfa336d477137a999a099d7

Observation 726c4384-cda9-45fe-a3a8-4e58d93e783f · inbound

jaxdae: A JAX-native Differentiable Solver for Differential-Algebraic Equations in Coupled Multi-physics cites this paper.

jaxdae: A JAX-native Differentiable Solver for Differential-Algebraic Equations in Coupled Multi-physics Learning Neural Differential Algebraic Equations via Operator Splitting

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T03:22:51.411011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:22:51.411011Z digest=sha256:67deaa16532bcc52c0e96101cf1c382ad4186f36497489da10de46e4e6120fed