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Paper Citation Record · LEDGER

TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.01751.

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

pith.paper-citation-record.v1
2207.01751 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:44:48.065737Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:47:46.829187Z

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 4fa7b9f2-8ea5-4a1c-b7bb-2ec668e0f584 · inbound

Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training cites this paper.

Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:47:46.836938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:47:46.752871Z digest=sha256:2b6f08b3be3ddb7f1bc236833e7613ae71602442fda51f44afb1ee8d48cff4be

Observation 036abe7e-5aec-41e9-bcba-1dbf23f88d0c · inbound

Hierarchical rank-evolving representation for physics-informed neural networks cites this paper.

Hierarchical rank-evolving representation for physics-informed neural networks TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T16:44:48.065737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:44:48.065737Z digest=sha256:3fcaf2f0e933983a3d08662f58600cef5b8a79e28233b77ec13e646a10c73620