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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.052684Z digest=sha256:6f824ffce3d0a02fc5789140f88baee32bc21cf07184ecfc1e83d94248357a1c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.147357Z digest=sha256:e227a6d31df887e798e1e36772a03f5b9c5e0cd05552a1104f3638f669c74ead

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.252615Z digest=sha256:393871ea30660219fd26b9c13cdac50fbee11f9e0e171dae6c10eb2edcbaf25c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.319405Z digest=sha256:f0cd3ee7fa3ad538a9fb1a878d84b2792bcf4f72d32359134367bd96c3dde76c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.392525Z digest=sha256:66b86e77d436bc510bb72e28119e661f70df377f9598d4fab638bf923a01ae98

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.473739Z digest=sha256:fee817e14fdbec696b3f49df0c7dd1cb0ebffc0f2630ed978cadde7e59b10f90

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.551747Z digest=sha256:88a701a5ae4f8ff04c9400ed65ce857e1ddd6548c6e4b0e52871687f4f6933fb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.609051Z digest=sha256:4a5ead4f67c55a5983758681b6eddc7906fd542b1eb973217cb069062b98db05

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.704701Z digest=sha256:5220c495a9d3b86c18b480a0e762a4eea911030c8e1f2631516edd2be014d5ca

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.785745Z digest=sha256:b9edc398b4103d96ed4534e596ef1d9b3d6f40adfc4dac408cc8270d832dd1eb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.872324Z digest=sha256:39bd985021e0ace578bc5060d0b00d16c58fe72a560d58dc2801c1c9dd2e619b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.938382Z digest=sha256:6244a5c6b499ec0f4285f1d43fae908eea4e35de1eeff4b7e9f833732b5b2f4d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:07.997889Z digest=sha256:e3f3826a684c0a62cbf97ca6ff8d0cc8c636f6dee3983d70fb928d4337f0505b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:08.061467Z digest=sha256:bb5604b2b8b3cce579268e7c33f2043ef402c14f2720f1beb13d7ac38c087662

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:08.145754Z digest=sha256:b8604c2faaff0977466de15ddfdc18c9dcee17af268744f4f6827f4712c8202f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:08.199928Z digest=sha256:54c0326e4a453f97529689f9df9fca1a45468121870f78c399be3c4217eacc32

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:08.290003Z digest=sha256:200bff02a87193d2e9b6d44596be0c2dde50018940ab72f45c0e715ad0be4c36

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:08.356512Z digest=sha256:e51e8a43aa180a66c223399d3e495f196e149e7f310c409b5b55bed67d922ef6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:08.431087Z digest=sha256:f70ffa4f5d137a24683fe6e368ab83e60f286d0b6103dde0ab73e4668cf21b2d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:39:08.485560Z digest=sha256:e5c547bed8d52e2c069c95dd990dd7f01e042b8f137b517b3321cf3dc9f09e41

Pith citing papers

No inbound Pith citation observations are available.