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Paper Citation Record · LEDGER

BENO: Boundary-embedded Neural Operators for Elliptic PDEs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.09323.

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

pith.paper-citation-record.v1
2401.09323 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:04:31.328960Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T01:59:38.727770Z

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 b18c85af-e9fe-4b34-8444-3f8e4f748048 · inbound

MNO : A Multi-modal Neural Operator for Parametric Nonlinear BVPs cites this paper.

MNO : A Multi-modal Neural Operator for Parametric Nonlinear BVPs BENO: Boundary-embedded Neural Operators for Elliptic PDEs

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T17:04:31.328960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:31.328960Z digest=sha256:6a221708cabe82c25ff6713682eedff85a67134b8bb0d5cc4cb9c2bafca5dd14

Observation 69a827e4-5cf9-430f-a32e-c21c6c4cd32d · inbound

Flow Field Reconstruction with Sensor Placement Policy Learning cites this paper.

Flow Field Reconstruction with Sensor Placement Policy Learning BENO: Boundary-embedded Neural Operators for Elliptic PDEs

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:59:38.729916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:59:27.224700Z digest=sha256:31975edf08d27fe25c8d7180e9a86a663462688b0e7e2e678fbf105ba41b3255

Observation bd3c6f17-d722-4498-ba36-61343d3f3027 · inbound

Geometry-aware LegONet for PDE Learning on Arbitrary Domains cites this paper.

Geometry-aware LegONet for PDE Learning on Arbitrary Domains BENO: Boundary-embedded Neural Operators for Elliptic PDEs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T03:46:03.512775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:46:03.512775Z digest=sha256:07c776a211c27ad65b848ab724003777ad9befd814c7ae30597f60e1181629cb