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Paper Citation Record · LEDGER

Delay Embedding Theory of Neural Sequence Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.11993.

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

pith.paper-citation-record.v1
2406.11993 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:51:57.572106Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T05:52:07.128057Z

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 2965a690-a07b-4543-bc33-a9b587acdc24 · inbound

mGRADE: Minimal Recurrent Gating Meets Delay Convolutions for Lightweight Sequence Modeling cites this paper.

mGRADE: Minimal Recurrent Gating Meets Delay Convolutions for Lightweight Sequence Modeling Delay Embedding Theory of Neural Sequence Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:52:07.131689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-19T05:51:07.108143Z digest=sha256:5ad7e14a81c961715ca00c2be4ebd79b31f6ad9231f185425508f10641dfed4c

Observation dbdc5655-07e9-4805-8317-4ee820fab687 · inbound

Embedding of Low-Dimensional Sensory Dynamics in Recurrent Networks: Implications for the Geometry of Neural Representation cites this paper.

Embedding of Low-Dimensional Sensory Dynamics in Recurrent Networks: Implications for the Geometry of Neural Representation Delay Embedding Theory of Neural Sequence Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:32:44.876075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T10:31:24.036239Z digest=sha256:ccc917bd7b8970453dfdfcec170c4b2dfd9d80cf4266e4098cb926c5e2afcd09

Observation 91e20f16-cff5-43c4-993a-df7cf8f3715a · inbound

Embedding of Low-Dimensional Sensory Dynamics in Recurrent Networks: Implications for the Geometry of Neural Representation cites this paper.

Embedding of Low-Dimensional Sensory Dynamics in Recurrent Networks: Implications for the Geometry of Neural Representation Delay Embedding Theory of Neural Sequence Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T07:51:57.572106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:51:57.572106Z digest=sha256:729e2c7d5f88c971407731493ffaf626b19d2172383b0db58c10c33f057b382a