Paper Citation Record · LEDGER

Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.10917.

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

pith.paper-citation-record.v1
2303.10917 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:26:40.902362Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:16:11.090882Z

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 717aa4e2-bdc2-4af0-bdbb-544be916a64c · inbound

Sagalee: an Open Source Automatic Speech Recognition Dataset for Oromo Language cites this paper.

Sagalee: an Open Source Automatic Speech Recognition Dataset for Oromo Language Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T19:07:33.699259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fc4d4ba-6070-4a3d-9a0a-766da5374e09 · inbound

Multi-Distillation from Speech and Music Representation Models cites this paper.

Multi-Distillation from Speech and Music Representation Models Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:44:36.029025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d3fd942-662d-4f4a-9759-7026a7a58e63 · inbound

Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models cites this paper.

Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:16:11.094111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9139c7f1-feb8-4f86-a41c-887dde3aaef9 · inbound

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin cites this paper.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T00:26:40.902362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.