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Paper Citation Record · LEDGER

Training dynamic models using early exits for automatic speech recognition on resource-constrained devices

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.09546.

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

pith.paper-citation-record.v1
2309.09546 v2

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:56:07.925702Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:32:10.247199Z

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 9cd95ea9-bf88-49dc-8fab-8b104d3d0a18 · inbound

An Effective Training Framework for Light-Weight Automatic Speech Recognition Models cites this paper.

An Effective Training Framework for Light-Weight Automatic Speech Recognition Models Training dynamic models using early exits for automatic speech recognition on resource-constrained devices

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:07.925702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:07.925702Z digest=sha256:c3235217169ac9b249f1568dd6d7eb0dc1dbf6973ba966b12be60f4e016b6c20

Observation a905bab0-9e5d-4c95-bb83-b55f9039b894 · inbound

Input Conditioned Layer Dropping in Speech Foundation Models cites this paper.

Input Conditioned Layer Dropping in Speech Foundation Models Training dynamic models using early exits for automatic speech recognition on resource-constrained devices

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:32:10.366066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:32:08.159991Z digest=sha256:5e72b0ee102cd6f4dd57aeca8747a05366558c84b660467a093dc7d4b1c236e5