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Paper Citation Record · LEDGER

Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.18780.

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

pith.paper-citation-record.v1
2310.18780 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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:58:23.187530Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T01:15:14.148146Z

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 33dbbc0b-1a2d-488d-a7fd-8ccbb4b05f1e · inbound

Gated Linear Attention Transformers with Hardware-Efficient Training cites this paper.

Gated Linear Attention Transformers with Hardware-Efficient Training Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:15:14.149619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-15T01:15:13.991219Z digest=sha256:59cc349e95560ad727031ffc20c9a565f62c2b4271b0d7442400071631739d82

Observation 0ca96cf8-82bc-4df1-b96d-593d8245269f · inbound

Quantifying Memory Utilization with Effective State-Size cites this paper.

Quantifying Memory Utilization with Effective State-Size Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T05:58:23.187530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:58:23.187530Z digest=sha256:41c7b2725fb724923e8050e00a3a31c2ceaf866bb1d57d5ba110279873fc22bb

Observation f150eed0-94bb-4fa5-8fe0-1e359ec30aa8 · inbound

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents cites this paper.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

Reference 159

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:25.727857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:12:25.727857Z digest=sha256:d1fce85fe2bf9d0b8f078eaa8718d2ffc915c24bac89cd718b2950f03b748e82