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Paper Citation Record · LEDGER

Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.06582.

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

pith.paper-citation-record.v1
2406.06582 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:18.648277Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:08:19.187831Z

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 7080dc02-17cb-4def-a954-e8273cd65e67 · inbound

Survey of End-to-End Multi-Speaker Automatic Speech Recognition for Monaural Audio cites this paper.

Survey of End-to-End Multi-Speaker Automatic Speech Recognition for Monaural Audio Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T21:03:18.648277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:03:18.648277Z digest=sha256:7cb36c5464524f8b95c11d8b5680233e93dea464e2d2bcf175e377e0122ec70d

Observation 3f8cdab4-09ad-4202-a4bb-e82f7aad9105 · inbound

MLLM-based Speech Recognition: When and How is Multimodality Beneficial? cites this paper.

MLLM-based Speech Recognition: When and How is Multimodality Beneficial? Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:08:19.194368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:08:18.784896Z digest=sha256:b00e29727cf06f075e548f3d522bcba56c098db8c20e03c5340f44efba236b75