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Paper Citation Record · LEDGER

Learning Specialized Activation Functions for Physics-informed Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.04073.

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

pith.paper-citation-record.v1
2308.04073 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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:48:46.736428Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:19:44.116748Z

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 3b344471-1b4c-4729-991c-862c0cc44568 · inbound

Improving physics-informed neural network extrapolation via transfer learning and adaptive activation functions cites this paper.

Improving physics-informed neural network extrapolation via transfer learning and adaptive activation functions Learning Specialized Activation Functions for Physics-informed Neural Networks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T16:48:46.736428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:48:46.736428Z digest=sha256:0418f4bb7076cad4c4e23ef4c934ce8be4fdf14f851c23c9530d6b20f7dbbbda

Observation 9d8b94ba-c10c-412a-a1c5-3fe51fc35502 · inbound

Shifting-based Optimizable Linear Relaxations for General Activation Functions cites this paper.

Shifting-based Optimizable Linear Relaxations for General Activation Functions Learning Specialized Activation Functions for Physics-informed Neural Networks

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:39:29.743571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T17:53:19.172873Z digest=sha256:60750490096c92b2c868f795b24c3830dd0241c9a650fae929eeba26e2600607

Observation cb9ac4f1-da88-406f-8324-47a087a63c5b · inbound

Beyond Data-Driven: How Physics-Informed Neural Networks are Reshaping Multi-Physics Design and Discovery cites this paper.

Beyond Data-Driven: How Physics-Informed Neural Networks are Reshaping Multi-Physics Design and Discovery Learning Specialized Activation Functions for Physics-informed Neural Networks

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:19:44.118197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T11:55:25.831089Z digest=sha256:1a632cf82485911830d37c280aa32ad4026e1c3bcf43bd644ef42296b3477a95