Paper Citation Record · LEDGER

mSLAM: Massively multilingual joint pre-training for speech and text

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2202.01374.

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

pith.paper-citation-record.v1
2202.01374 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 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T21:49:21.785096Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T21:51:17.752402Z

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 0a27e7da-de70-4ff1-aa85-a9c294b12dcf · inbound

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language cites this paper.

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language mSLAM: Massively multilingual joint pre-training for speech and text

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:50:00.775223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 46595cb1-d75f-46f7-8141-624fc939a5c5 · inbound

AudioPaLM: A Large Language Model That Can Speak and Listen cites this paper.

AudioPaLM: A Large Language Model That Can Speak and Listen mSLAM: Massively multilingual joint pre-training for speech and text

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:07:57.851683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d12b6ab0-06fa-4b7e-8094-9df5092d3073 · inbound

Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs cites this paper.

Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs mSLAM: Massively multilingual joint pre-training for speech and text

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:51:17.754099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 78517cd0-5e7d-41bc-be3c-0882b3a65c71 · inbound

Text-Utilization for Encoder-dominated Speech Recognition Models cites this paper.

Text-Utilization for Encoder-dominated Speech Recognition Models mSLAM: Massively multilingual joint pre-training for speech and text

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:51:25.132172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.