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Paper Citation Record · LEDGER

GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.14780.

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

pith.paper-citation-record.v1
2408.14780 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:51.472502Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:49:50.826554Z

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 162199e3-fbb9-4c97-90c9-dbfbeadda737 · inbound

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks cites this paper.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T16:16:19.176019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:16:19.176019Z digest=sha256:1c9e3cf9a82faeea7be1e3820bdb4a5272659ce9158f292a67377d645abb6e16

Observation ccb72d4d-8ef7-4533-b0af-aa5d2091f277 · inbound

iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network cites this paper.

iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T11:09:51.472502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:09:51.472502Z digest=sha256:6c14f92b1a950df2494e47da0fe672462c3b856afb843c48ee7aa9ed39492b9e

Observation ce61e1d5-bfe2-4498-abd5-563f49ce52c2 · inbound

KHRONOS: a Kernel-Based Neural Architecture for Rapid, Resource-Efficient Scientific Computation cites this paper.

KHRONOS: a Kernel-Based Neural Architecture for Rapid, Resource-Efficient Scientific Computation GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T20:22:26.875966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:22:26.875966Z digest=sha256:eb461c126e2a86e6bbe5e9c0ad26d1618d2ec2aee53e58389583e89ee0437508

Observation 82140834-9e72-4266-9134-aad07b062a58 · inbound

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks cites this paper.

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T22:12:38.491403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:38.491403Z digest=sha256:63c7f48753fdb52c826d23cad9810bf45a5cdec04d52c42003691c1646aa70e1

Observation 0f8af944-040d-426a-850a-a66e6f74f79a · inbound

A Practitioner's Guide to Kolmogorov-Arnold Networks cites this paper.

A Practitioner's Guide to Kolmogorov-Arnold Networks GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

Reference 199

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:30:50.681452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T03:29:15.570760Z digest=sha256:957e4089c73a5a27f2d348f747ca2aef4e8de5a8dfdcd2f145d93d071bc715ce

Observation 106ba418-0ff1-4def-ac35-5eaa346e815a · inbound

Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov-Arnold Networks cites this paper.

Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov-Arnold Networks GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:37:41.919196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T09:34:00.409455Z digest=sha256:fd54a378aed98713d044bd2918b016fa94fcface63203e56194853a7b2c0d49d

Observation 57cf35fd-4b1c-45c6-95ef-5f55e43d2f9d · inbound

Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks cites this paper.

Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:10:51.137206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T19:18:37.126985Z digest=sha256:fe04495c54310dc35fc5fd95d902d1694b52eab51d823c3567761e691085f391

Observation 4dc339b6-febf-4d4e-945d-c21343caed55 · inbound

Bayesian Analysis Using a Constrained Mixture of Normal-Inverse-Gamma Models cites this paper.

Bayesian Analysis Using a Constrained Mixture of Normal-Inverse-Gamma Models GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks

Reference 177

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T11:49:50.828008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-26T07:35:00.683580Z digest=sha256:4c79b772418d417cfb7ddcc02b108687783bda514896b641fb75271a4d6b7bec