Pith. sign in

Paper Citation Record · LEDGER

Tensor Neural Network and Its Numerical Integration

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2207.02754.

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

pith.paper-citation-record.v1
2207.02754 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:24:51.275982Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:40.342937Z

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 ac93cfa4-17a0-4f44-847d-a65ca8ae1b2b · inbound

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy cites this paper.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Tensor Neural Network and Its Numerical Integration

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T23:24:51.275982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:24:51.275982Z digest=sha256:fea192c664278633ce173ac94776cfab388edf9001629b1d30a5ca6e042cc41b

Observation 9336c444-2728-48f7-a62f-4447b87efc1e · inbound

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations cites this paper.

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations Tensor Neural Network and Its Numerical Integration

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T20:11:37.912609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:11:37.912609Z digest=sha256:4ff7ff9aa1ee5c4ab048c5b7c068b5b9838ce9ed4533ae9814105a04404b9f1e

Observation 74710e33-754c-4e0c-b03e-86f457aaa8f1 · inbound

KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics cites this paper.

KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics Tensor Neural Network and Its Numerical Integration

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-11T10:23:14.396971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:23:14.396971Z digest=sha256:baf9048d01923eb6c0b75b90d635b7047a729c8835021fd19dc3e8595c4c4e3b

Observation 0bdd45c5-08bb-4ed6-afe0-3f6fea117462 · inbound

Lower Bound on the Representation Complexity of Antisymmetric Tensor Product Functions cites this paper.

Lower Bound on the Representation Complexity of Antisymmetric Tensor Product Functions Tensor Neural Network and Its Numerical Integration

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:02:38.225607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T05:58:24.616948Z digest=sha256:b92e1bd83dcb04766edc4e0bfdba076ac24fddff6b537d65dc8ff85b37fc455f

Observation f14752ab-d0cf-41b9-9ae2-2eaa333186b0 · inbound

Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains cites this paper.

Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains Tensor Neural Network and Its Numerical Integration

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-04T05:37:18.207920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:37:18.207920Z digest=sha256:5397b805952e34a2dae1c37d392032a712c334bea184edcc351d2c803631c18c

Observation 252a9295-b9f6-4bcd-b62c-80d19c165f49 · inbound

Regularity Analysis and Tensor Neural Network Methods for Quasiperiodic Elliptic Equations cites this paper.

Regularity Analysis and Tensor Neural Network Methods for Quasiperiodic Elliptic Equations Tensor Neural Network and Its Numerical Integration

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:21:07.335582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T01:51:46.569053Z digest=sha256:dd204780fff961eca1f88582dc5d94c4228c3d5206cf23c20677082cc0014602

Observation 9bb8cb62-a6b1-4e2b-82b3-9fa9428b07a7 · inbound

A Novel Tensor Product-Based Neural Network for Solving Partial Differential Equations cites this paper.

A Novel Tensor Product-Based Neural Network for Solving Partial Differential Equations Tensor Neural Network and Its Numerical Integration

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-06-29T09:03:15.598013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T09:02:09.817046Z digest=sha256:6c4aa599478a38a5b638cb5e395e7673bf2a4d330ef46d3d962ed3f9b7b65f01

Observation 0fa88761-b3f5-43a6-ae68-9bd64f41039a · inbound

ND-TNN: Tensor-Neural-Network Approximation for High-Dimensional Nonlocal Diffusion Models cites this paper.

ND-TNN: Tensor-Neural-Network Approximation for High-Dimensional Nonlocal Diffusion Models Tensor Neural Network and Its Numerical Integration

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:47:27.951501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T17:53:23.117920Z digest=sha256:10b6552ad1aa90256712548a8e2c356904b9709f645f7718e8d0d835bfb46e54

Observation 66e25529-f9e1-4157-8934-27195bf2d466 · inbound

Parameterized Representations via Implicit Stochastic Modulation for High-Dimensional and High-Order Neural PDE Solvers cites this paper.

Parameterized Representations via Implicit Stochastic Modulation for High-Dimensional and High-Order Neural PDE Solvers Tensor Neural Network and Its Numerical Integration

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:59:40.344412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T12:20:25.523371Z digest=sha256:894757122b4e73f66fdf2fdb288ebfd87ccd416d507200f73b60454fec7e30f6