Pith. sign in

Paper Citation Record · LEDGER

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR

As of 22 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2509.04491.

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

pith.paper-citation-record.v1
2509.04491 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:39:08.485560Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact2
  • verified fuzzy18
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d567358b-a403-4a16-ac04-f3f7187bbb87 · outbound

This paper cites Summary of chatgpt-related research and perspective towards the future of large language models,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Summary of chatgpt-related research and perspective towards the future of large language models,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:11.380210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.052684Z digest=sha256:cab1cb9859d6ff4380da2dd43009e237a4b4388da6f831b7d0ab80ad1753f146

Observation 7cdc0a78-e216-41a7-9d06-02fd9ab5f296 · outbound

This paper cites Foun- dation models for generalist medical artificial intelligence,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Foun- dation models for generalist medical artificial intelligence,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:11.356258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.147357Z digest=sha256:86f50d3982143c58fd912ecedb4d3c48bb839e405be556ed20fec36cfdce1915

Observation fbb94439-0339-4d27-adfe-0048217db789 · outbound

This paper cites Will affective computing emerge from foundation models and general artificial intelli- gence? a first evaluation of chatgpt,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Will affective computing emerge from foundation models and general artificial intelli- gence? a first evaluation of chatgpt,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:11.333434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.252615Z digest=sha256:5070da454778bcf38e9185be622e1ea84cfcfcc07a2af09d3756fd992adafe8f

Observation 017c3ec3-9ee4-4c9d-a8f7-5480e5ad46c2 · outbound

This paper cites A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:11.310151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.319405Z digest=sha256:fc853e282bb7c6e9d415ae051f59500fdea10dc16d106e5ed31c87429ea27054

Observation 80a4ed91-31f8-4fcd-b6d1-766219d0a69b · outbound

This paper cites Robust speech recognition via large- scale weak supervision,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Robust speech recognition via large- scale weak supervision,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:11.184121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.392525Z digest=sha256:e9ba4dfe4a9ea2eed79b90aca10e2c60a6fd6e61104bd67696f1f8709676e0b1

Observation 536e2e90-cd4c-4a3c-a5ad-436aaf0f07e3 · outbound

This paper cites Analysis of whisper automatic speech recognition performance on low resource language,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Analysis of whisper automatic speech recognition performance on low resource language,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:11.028634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.473739Z digest=sha256:3124a472fe5c70b1644b9b915da2d6b366eb4b4bcf1f730919fa0dd3c7bad84a

Observation c9d6f5f2-4c61-415b-9877-308a5b596e64 · outbound

This paper cites Comparison of multilingual self-supervised and weakly-supervised speech pre-training for adaptation to unseen languages,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Comparison of multilingual self-supervised and weakly-supervised speech pre-training for adaptation to unseen languages,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:10.865442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.551747Z digest=sha256:650173325f84fe5201019243df5b55b83881b8e085241f8819834338a2b1d9b7

Observation 811a9b38-2cf2-4ecf-862a-aa2e87585cf4 · outbound

This paper cites Benchmarking whisper for low-resource speech recognition: An n- shot evaluation on pashto, punjabi, and urdu,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Benchmarking whisper for low-resource speech recognition: An n- shot evaluation on pashto, punjabi, and urdu,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:10.783696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.609051Z digest=sha256:8f4e2b24e29db1c3e4f91e885beed3e523c6e289c0f319e4aeaf803bbb309819

Observation 6a0d3599-91bc-4873-80f6-16df765d5bd2 · outbound

This paper cites Exploring native and non-native english child speech recognition with whisper,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Exploring native and non-native english child speech recognition with whisper,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:10.670409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.704701Z digest=sha256:1600312d05faeb78e478bf3943b41daae99dbeea5e1d5902cc068c4fa6c5c5c5

Observation 89504abc-3347-49ac-9c9a-abc3a1609963 · outbound

This paper cites The mgb- 5 challenge: Recognition and dialect identification of dialectal arabic speech,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR The mgb- 5 challenge: Recognition and dialect identification of dialectal arabic speech,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:10.512605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.785745Z digest=sha256:e46daa3f68a238f6727d98e03425fc7fda6f329f3f2c556cb6ee02891e931fcd

Observation 1a0aa5c5-107d-4c81-8468-3fc4cbde0582 · outbound

This paper cites Large scale weakly and semi- supervised learning for low-resource video asr,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Large scale weakly and semi- supervised learning for low-resource video asr,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:10.374830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.872324Z digest=sha256:4eae89246c48e1366f7ecdd7358857b6585a193688278e1aa20f0e578b705234

Observation c798f9a6-26c6-44f1-866b-3b25d3b09caf · outbound

This paper cites Weakly Supervised Construction of ASR Systems with Massive Video Data.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Weakly Supervised Construction of ASR Systems with Massive Video Data

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:39:08.857972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.938382Z digest=sha256:6f4b56b5bbb0b0bc6ec6450d90713cf6be00d09bb467c015a068c5cd3d238ae8

Observation c296327e-4f32-4d05-8e31-b5fb73715c28 · outbound

This paper cites Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:39:08.720685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:07.997889Z digest=sha256:639c2da09aefcad20d846435d1e48aaaac65fa0735a7e743c2b6a631cd7ccb34

Observation 55011982-e228-473f-b8e7-8ac7672205e3 · outbound

This paper cites Prompting whisper for qa-driven zero-shot end-to-end spoken language understanding,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Prompting whisper for qa-driven zero-shot end-to-end spoken language understanding,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:10.267858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:08.061467Z digest=sha256:a9b05fd4c85d1cf5d3627555572820b5ca49b634ba716a7e754ef110f223edb5

Observation deb3b66f-cf6d-462b-8230-b7bf7a75a99c · outbound

This paper cites Zero-shot domain-sensitive speech recognition with prompt-conditioning fine-tuning,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Zero-shot domain-sensitive speech recognition with prompt-conditioning fine-tuning,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:10.156850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:08.145754Z digest=sha256:047b75904e1b5934c6022db114a81a3831879972db11647ecc5ea741331ec854

Observation 1783c7c9-04fb-4453-8459-fb992d3a7d06 · outbound

This paper cites Extending whisper with prompt tuning to target-speaker asr,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Extending whisper with prompt tuning to target-speaker asr,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:09.906659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:08.199928Z digest=sha256:8a14c8e2b3064932dd738cc21979d1282f627a1a9c404e7bd26dcad0274f0329

Observation 2d80ff99-88af-4bc4-a10a-c172a87ed6c4 · outbound

This paper cites Whisper-based transfer learning for alzheimer disease classification: Leveraging speech segments with full transcripts as prompts,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Whisper-based transfer learning for alzheimer disease classification: Leveraging speech segments with full transcripts as prompts,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:09.663640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:08.290003Z digest=sha256:70b4f6bc98ce326645cc20f94b346fae2b17f964db9bdc83d373e834baf106a8

Observation 4c424d95-a8e0-4a0a-8701-9a481370fc19 · outbound

This paper cites Careless whisper: Speech-to-text hallucination harms,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Careless whisper: Speech-to-text hallucination harms,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:09.330010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:08.356512Z digest=sha256:43ee47c603610927da1d60bfca180b80fdeb3f9ecfe232ace1a62dd65b1b253b

Observation 2f34e8b2-458a-4389-81c7-df94882610f3 · outbound

This paper cites Self-training: A survey,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR Self-training: A survey,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:09.191188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:08.431087Z digest=sha256:a87881b82abf6bd71a6ae64de6f39617efd76f01061c6645a4489b4a15f7ebf4

Observation 5a06821d-a1ea-46f9-acd1-90aab42f2fdd · outbound

This paper cites A formula for the gini coefficient,.

Refining Transcripts With TV Subtitles by Prompt-Based Weakly Supervised Training of ASR A formula for the gini coefficient,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:39:09.013151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:39:08.485560Z digest=sha256:95274d009bf4d2be68ff04a907a3defc4c18cc7656e8a53d005ae8e97f9c4807

Pith citing papers

No inbound Pith citation observations are available.