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Paper Citation Record · LEDGER

Finite Element Operator Network for Solving Elliptic-type parametric PDEs

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.04690.

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

pith.paper-citation-record.v1
2308.04690 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:13:16.622083Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:09:41.159743Z

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 454ba1fa-11de-4513-a776-22fadf61498a · inbound

ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines cites this paper.

ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines Finite Element Operator Network for Solving Elliptic-type parametric PDEs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T20:13:16.622083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:13:16.622083Z digest=sha256:75c08d8096912f1cd46c44a4ebc6eeccc0aa175a30a0801064756218e4785a58

Observation 41075700-c359-4355-b376-d040f1eb5a4d · inbound

WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains cites this paper.

WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Finite Element Operator Network for Solving Elliptic-type parametric PDEs

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:04:40.333483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T12:58:34.506049Z digest=sha256:b937f25ab1f79a49f7e5e438cfa752450094db3c7a7cb0e367b1500252193d27

Observation a3841fb6-cec8-462f-9a5e-5d40bb3228a6 · inbound

WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains cites this paper.

WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Finite Element Operator Network for Solving Elliptic-type parametric PDEs

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T13:18:46.754753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:18:46.754753Z digest=sha256:463a3c4cc12346cb935743b294a2e2ddfbb9a15354008a0d09cfe33d3f9627cc

Observation d821c57a-b858-435f-940f-57704f2027f3 · inbound

Spectrally Safe Neural Operator Warm-Starts for Large-Scale Newton Solvers cites this paper.

Spectrally Safe Neural Operator Warm-Starts for Large-Scale Newton Solvers Finite Element Operator Network for Solving Elliptic-type parametric PDEs

Reference 146

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:09:41.161421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-26T12:10:36.703905Z digest=sha256:6a1aaa6935c2f88fb2ebb82c33c8539422cbd2e0ebfd7f44f8b8536d5ce06bd6

Observation 350f94f8-b6c4-4440-80a2-132533e3d6e5 · inbound

HypNO: A Graph-Based Neural Operator with Physics-Informed Message Passing for Hyperbolic Conservation Laws cites this paper.

HypNO: A Graph-Based Neural Operator with Physics-Informed Message Passing for Hyperbolic Conservation Laws Finite Element Operator Network for Solving Elliptic-type parametric PDEs

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T07:31:25.236065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:31:25.236065Z digest=sha256:8fdd21dec32e1fd7a2298fd7baa54b4265203a284871065d5b134601c926d246