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Paper Citation Record · LEDGER

Toeplitz Neural Network for Sequence Modeling

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.04749.

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

pith.paper-citation-record.v1
2305.04749 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:08:13.831567Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T22:12:11.666448Z

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 1a7c6df1-2dfe-4d04-a757-cac0e6bea21c · inbound

Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration cites this paper.

Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration Toeplitz Neural Network for Sequence Modeling

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T22:08:13.831567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:08:13.831567Z digest=sha256:d3e963a79f769240e1dfd451b1418ce51d7513a0549eb78da4395369e8a0d7e6

Observation 456e202f-3771-49da-85eb-b01b911e0c34 · inbound

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba cites this paper.

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba Toeplitz Neural Network for Sequence Modeling

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:12:11.669104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T22:07:12.198095Z digest=sha256:4b1104611521549fa5d45b0f5a1383d2a468e48a0abcfda0553dff6670c21ab4

Observation 1481b638-ed7a-423b-93c3-a63d2d4a6508 · inbound

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation cites this paper.

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation Toeplitz Neural Network for Sequence Modeling

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:01:46.304806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-18T18:56:48.722344Z digest=sha256:851337084a8dd852816c5b4f939e3fcb02d060d3ce6c0059d41e2a1efc282fea

Observation c7085bc3-32fb-4259-bf89-2fba6bc5451d · inbound

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation cites this paper.

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation Toeplitz Neural Network for Sequence Modeling

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-05T10:25:17.180707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:25:17.180707Z digest=sha256:0a6961f345e550f11e08002b7a89ec247e7bead1d672d99dcd8755094ef95c21