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Paper Citation Record · LEDGER

Functional Tensor Decompositions for Physics-Informed Neural Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.13101.

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

pith.paper-citation-record.v1
2408.13101 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:42:48.190489Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T06:29:00.640479Z

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 9d250e36-01d2-45d9-b51d-f410e1708b02 · inbound

Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms cites this paper.

Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms Functional Tensor Decompositions for Physics-Informed Neural Networks

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:29:00.644308Z

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=2026-05-24T06:28:33.255228Z digest=sha256:23c1ede4e2cf1f2bdfb0b3e5ad82ad2e2e6961fe23634bd120dd1b2d9cdba52a

Observation a509c8a0-1373-434a-976d-52f4f0b8fa64 · inbound

Sampling from Boltzmann densities with physics informed low-rank formats cites this paper.

Sampling from Boltzmann densities with physics informed low-rank formats Functional Tensor Decompositions for Physics-Informed Neural Networks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T18:42:48.190489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:42:48.190489Z digest=sha256:9bf42ada8de3463afefcd8d9ac66115cec0b44684caed658863040cf9d61f26d