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Paper Citation Record · LEDGER

Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.19510.

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

pith.paper-citation-record.v1
2409.19510 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 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:43:44.001435Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T10:31:14.885480Z

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 730495b9-cdd3-41b3-baac-9563f0f7b782 · inbound

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey cites this paper.

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-11T14:59:01.571249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:59:01.571249Z digest=sha256:e942a001c6514f786be98e98251c71d64deec12d91062b6e0570894198c6347b

Observation f06288fb-0941-4694-9ae0-fc817dbc9cce · inbound

Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data cites this paper.

Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T18:52:42.875334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:52:42.875334Z digest=sha256:735f6479eb97470b378804f863ae8db90026fe14806623bf6ee1a172bed98783

Observation 88379d83-f7ca-4f17-9d35-e250f5ceb708 · inbound

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning

Reference 115

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:18:53.151053Z

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.

source=pdf_text observed=2026-05-15T17:18:52.996467Z digest=sha256:eeb5b906283c9e7db67a602534e5e0b3d39052c0f2633c08180617d00afd9446

Observation 10c16ef4-b66c-4c1c-92f3-71d812140c20 · inbound

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models cites this paper.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T04:43:44.001435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:43:44.001435Z digest=sha256:9464b8c701dbcb85a8c9b67a807d55d1f45603c39f432c386e6244eb3cabfa00

Observation 9b4bbe78-c7f1-4264-ab40-db92d95ce8a6 · inbound

PHRASED: Phrase Dictionary Biasing for Speech Translation cites this paper.

PHRASED: Phrase Dictionary Biasing for Speech Translation Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:05.475925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:03:05.475925Z digest=sha256:3073b34ea1f823929c4e3896efd83dc7febae48220fc02c90b1f4f80c12606a7

Observation d75ffe1c-f257-4af9-9823-f2f0099f0edf · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning

Reference 166

Resolution
unresolved
no resolver link, observed 2026-08-05T20:28:59.199685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:28:59.199685Z digest=sha256:c919d693885698950f8b6e74fc2607d730ee40b80be2b28b0c2f1eb6f7c2815d

Observation e694f688-cc50-4b4b-82e8-55232f938faa · inbound

Revisiting Direct Speech-to-Text Translation with Speech LLMs: Better Scaling than CoT Prompting? cites this paper.

Revisiting Direct Speech-to-Text Translation with Speech LLMs: Better Scaling than CoT Prompting? Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:31:14.888304Z

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.

source=pdf_text observed=2026-05-18T10:28:16.040337Z digest=sha256:ae6c50592033f69fa318e432c198cea0c0a4f5f69046f31058f19cfddcbbf59d

Observation 44d27210-c6fb-40d2-94ef-e1bca2f9806b · inbound

Efficient Chain-of-Modality Reasoning via Progressive Compression for Spoken Language Models cites this paper.

Efficient Chain-of-Modality Reasoning via Progressive Compression for Spoken Language Models Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T11:20:17.765161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:20:17.765161Z digest=sha256:dfab15c3410f5644a958639fd7a64b41556bb645ec252edd4b6217085eefa364