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Paper Citation Record · LEDGER

Heterogeneous Peridynamic Neural Operators: Discover Biotissue Constitutive Law and Microstructure From Digital Image Correlation Measurements

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.18597.

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

pith.paper-citation-record.v1
2403.18597 v2

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:36:40.950391Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:29:48.640696Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 eeca5a8c-5470-473e-a2f6-b0c13f6b10b2 · inbound

Physics Informed Neural Networks for Learning the Horizon Size in Bond-Based Peridynamic Models cites this paper.

Physics Informed Neural Networks for Learning the Horizon Size in Bond-Based Peridynamic Models Heterogeneous Peridynamic Neural Operators: Discover Biotissue Constitutive Law and Microstructure From Digital Image Correlation Measurements

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T21:51:15.254750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:51:15.254750Z digest=sha256:958ac6836ab89404f3697ee2931f81d39368cd6a37c5e71bc69589242d5bb93a

Observation e7392bcd-930a-423e-8c88-8fd41007f8d5 · inbound

Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions cites this paper.

Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions Heterogeneous Peridynamic Neural Operators: Discover Biotissue Constitutive Law and Microstructure From Digital Image Correlation Measurements

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T04:36:40.950391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:36:40.950391Z digest=sha256:33a13373b9d92f37fd25241c91bf5bcec9a6d1c89d03fd16ed5ba18081aed835

Observation a54b8a2f-7894-4e2d-9389-1b7fc2e0637f · inbound

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements cites this paper.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Heterogeneous Peridynamic Neural Operators: Discover Biotissue Constitutive Law and Microstructure From Digital Image Correlation Measurements

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:29:48.730030Z

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=2026-08-07T14:29:46.959121Z digest=sha256:9fc7e05cafb9f27c11016e3c3665deece182e081d0f77d52bb0108f63331a9ca