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Paper Citation Record · LEDGER

PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.15668.

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

pith.paper-citation-record.v1
2406.15668 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:51:53.725495Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T15:58:20.494165Z

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 4caab6b3-81eb-40e3-b29f-94ff42a4a3a6 · inbound

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs cites this paper.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T21:51:53.725495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:51:53.725495Z digest=sha256:9650d2c95acedc818ae1f48d3a724bf68a3f5837d61ab4673b002c420e6ecf9e

Observation ca8afc80-ca85-4475-bed2-4159e27e72e7 · inbound

Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge cites this paper.

Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:58:20.499776Z

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=2026-08-12T15:58:19.832409Z digest=sha256:c5dddc6a438d0437d4a10014586909208e981efe2e102a9399bdc1d829f194b7