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Paper Citation Record · LEDGER

Exploring the Capability of Mamba in Speech Applications

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.16808.

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

pith.paper-citation-record.v1
2406.16808 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:54:51.720742Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T22:12:11.853146Z

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 54937284-f506-44f5-b6c4-79124e05e0da · 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 Exploring the Capability of Mamba in Speech Applications

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:12:11.856057Z

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=2026-05-22T22:07:12.198095Z digest=sha256:3a4b6902edc117981510de108eeb3e0a76570976634e88fc59a64b0c3e787bfa

Observation 2c873794-0ec1-4028-bd87-382b9bee5561 · inbound

Quantizing Small-Scale State-Space Models for Edge AI cites this paper.

Quantizing Small-Scale State-Space Models for Edge AI Exploring the Capability of Mamba in Speech Applications

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T00:54:51.720742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:54:51.720742Z digest=sha256:bd38cdba00f9355af45710b9fdfb3e26b7b0b24416d79e250caa48d0a093d8be