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Paper Citation Record · LEDGER

Speech Model Pre-training for End-to-End Spoken Language Understanding

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1904.03670.

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

pith.paper-citation-record.v1
1904.03670 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:14.197126Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T15:47:23.273387Z

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 d5e70fa5-877b-462d-8c31-0932f4dfd7eb · inbound

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance cites this paper.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Speech Model Pre-training for End-to-End Spoken Language Understanding

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T15:05:14.197126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:14.197126Z digest=sha256:e50f615931823ad87cde385d81a9763258d7d071f53f83a63a2b4cce4e4febca

Observation 5cc71a69-6342-4500-8b2d-4106f84f54fa · inbound

Enhancing Generalization of Speech Large Language Models with Multi-Task Behavior Imitation and Speech-Text Interleaving cites this paper.

Enhancing Generalization of Speech Large Language Models with Multi-Task Behavior Imitation and Speech-Text Interleaving Speech Model Pre-training for End-to-End Spoken Language Understanding

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:30:33.562288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:30:33.562288Z digest=sha256:48e9562c977f49f17ac323d988b894fa797fe180181c0c1197d0cddaba43dd47

Observation c2240fbd-62e5-4a08-9b63-b53fdd165702 · inbound

Continual Speech Learning with Fused Speech Features cites this paper.

Continual Speech Learning with Fused Speech Features Speech Model Pre-training for End-to-End Spoken Language Understanding

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:46:59.294977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:46:59.294977Z digest=sha256:be1267f4629d8545f6cb09adeb125d10a7bd925e39caa03673e807ff39a6c1b7

Observation 9107ecd9-b34d-4846-b3be-055b6f96949a · inbound

findsylls: A Language-Agnostic Toolkit for Syllable-Level Speech Tokenization and Embedding cites this paper.

findsylls: A Language-Agnostic Toolkit for Syllable-Level Speech Tokenization and Embedding Speech Model Pre-training for End-to-End Spoken Language Understanding

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-13T17:37:12.659819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:37:12.659819Z digest=sha256:0bea9d86e4e356534f537fc937b5eabf758e4726c6cceac52c09dcaccb305abb

Observation b66e635a-b0a0-4956-a1ae-7a1e5a142bb2 · inbound

WQ-Fusion: Dynamic Gated Attention for Cross-Domain Audio Representation cites this paper.

WQ-Fusion: Dynamic Gated Attention for Cross-Domain Audio Representation Speech Model Pre-training for End-to-End Spoken Language Understanding

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-04T14:39:57.212554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T03:21:39.842959Z digest=sha256:fdf44f677159fb543c5bbf2cf0c23c14780507480acccade9f967a69a932938c

Observation 741fbe33-76d3-4287-8649-b56b6537444b · inbound

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks cites this paper.

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks Speech Model Pre-training for End-to-End Spoken Language Understanding

Reference 249

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T15:47:23.274542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-10T15:38:58.361411Z digest=sha256:7efd4e0ec91b77f7b6c2dffeec8337a730a8c8f545c635a1249caef9ee7ff623

Observation c69cc7ce-597c-4dab-8348-63faafe4144f · inbound

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment cites this paper.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Speech Model Pre-training for End-to-End Spoken Language Understanding

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T01:19:07.656877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:19:07.656877Z digest=sha256:d08c92b16c27c49e32e553cf103ac9adb4185a8ef695f81e53259d163b020e4e

Observation f248c76e-2494-4794-a3f7-03a9e0cb401f · inbound

Versatile On-device Adaptation at the Edge by Unifying Few-shot, Zero-shot, Continual, and In-context Learning cites this paper.

Versatile On-device Adaptation at the Edge by Unifying Few-shot, Zero-shot, Continual, and In-context Learning Speech Model Pre-training for End-to-End Spoken Language Understanding

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-03T08:50:37.709583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:50:37.709583Z digest=sha256:ef945048542cda015312fcd366c1e629fb6f5751fc0d80eab7dbe97ca1c1250a