Paper Citation Record · LEDGER

Open-Source Conversational AI with SpeechBrain 1.0

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.00463.

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

pith.paper-citation-record.v1
2407.00463 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:46:06.161008Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:59:26.686756Z

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 d335ebe9-773a-4385-8d2e-ae16e8712357 · inbound

Investigating the Effectiveness of Explainability Methods in Parkinson's Detection from Speech cites this paper.

Investigating the Effectiveness of Explainability Methods in Parkinson's Detection from Speech Open-Source Conversational AI with SpeechBrain 1.0

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T22:02:39.059301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8224650f-5820-4953-82e6-ab950dfccf9e · inbound

Libri2Vox Dataset: Target Speaker Extraction with Diverse Speaker Conditions and Synthetic Data cites this paper.

Libri2Vox Dataset: Target Speaker Extraction with Diverse Speaker Conditions and Synthetic Data Open-Source Conversational AI with SpeechBrain 1.0

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T14:05:25.916256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 460f6377-b2d1-4d88-962d-20c7325b3c1e · inbound

A Benchmark of French ASR Systems Based on Error Severity cites this paper.

A Benchmark of French ASR Systems Based on Error Severity Open-Source Conversational AI with SpeechBrain 1.0

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T18:55:22.213590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e01a1a-73e1-4891-8a95-943fbe38c727 · inbound

LLAMAPIE: Proactive In-Ear Conversation Assistants cites this paper.

LLAMAPIE: Proactive In-Ear Conversation Assistants Open-Source Conversational AI with SpeechBrain 1.0

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T23:46:06.161008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d73f1af6-a726-4f01-86c1-b4ed3f9564ad · inbound

Autoregressive Speech Enhancement via Acoustic Tokens cites this paper.

Autoregressive Speech Enhancement via Acoustic Tokens Open-Source Conversational AI with SpeechBrain 1.0

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:24.944577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 100ee9d1-18a9-4494-8a8c-dfe9a02f0b46 · inbound

AFA: Identity-Aware Memory for Preventing Persona Confusion in Multi-User Dialogue cites this paper.

AFA: Identity-Aware Memory for Preventing Persona Confusion in Multi-User Dialogue Open-Source Conversational AI with SpeechBrain 1.0

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:01:17.029300Z

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 d7480589-1d55-4d33-b5e2-151b9aa262d7 · inbound

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings cites this paper.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Open-Source Conversational AI with SpeechBrain 1.0

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:59:26.689043Z

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.