Paper Citation Record · LEDGER

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings

As of 17 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2606.18659.

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

pith.paper-citation-record.v1
2606.18659 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T20:03:28.491546Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T20:03:28.491546Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T01:59:26.660206Z

Reference resolution

32 of 32 outbound references displayed

verified exact10
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f530ae07-e22f-48ac-a943-e8ba0020af4a · outbound

This paper cites Customer support is a critical revenue-generating function for businesses, enabling after-sales service, promotions, and sales calls.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Customer support is a critical revenue-generating function for businesses, enabling after-sales service, promotions, and sales calls

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c4dde90-9cbc-47a5-919c-bc79c5e86169 · outbound

This paper cites an unresolved cited work.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae3225a1-a8b4-4819-bdd0-458514adc712 · outbound

This paper cites Open-source foundational embeddings from MMS [2].

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Open-source foundational embeddings from MMS [2]

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5adb5af-866a-42af-a7fd-194105801d1b · outbound

This paper cites an unresolved cited work.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a107c2-0dfa-444f-8177-355d7cae361c · outbound

This paper cites Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-04T01:59:26.662059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bd38b8e7-d984-44a6-ab15-87ca3146bc12 · outbound

This paper cites an unresolved cited work.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Unresolved cited work

Reference 6

Resolution: malformed identifier; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7696338-6acd-4e3b-b872-dbe694937329 · outbound

This paper cites As these interactions occur over a tele- phony channel, the audio is sampled at 8 kHz (narrow-band).

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings As these interactions occur over a tele- phony channel, the audio is sampled at 8 kHz (narrow-band)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56b6036e-f5fa-4431-8a58-a7248bf482c2 · outbound

This paper cites an unresolved cited work.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 729614da-801d-4aca-b335-5b74e29101e2 · outbound

This paper cites Our findings reveal that while foundational models demonstrate rea- sonable generalization, their performance remains suboptimal in real-world telephony conversations.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Our findings reveal that while foundational models demonstrate rea- sonable generalization, their performance remains suboptimal in real-world telephony conversations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e47ca8f-cf42-4259-8e8b-93b8cbcc01b6 · outbound

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

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Robust speech recognition via large-scale weak supervision,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe274c6e-efd2-4b4e-b41d-6c1b014d3156 · outbound

This paper cites Scaling speech technology to 1,000+ languages,.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Scaling speech technology to 1,000+ languages,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18ed6e2d-fcd1-4e0b-9178-354240c9df74 · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:59:26.658181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6d72ba2-fc94-419d-9b44-4055af41a83f · outbound

This paper cites All ears: Building self-supervised learning based asr models for indian lan- guages at scale,.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings All ears: Building self-supervised learning based asr models for indian lan- guages at scale,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47dbf548-6c3b-4fca-a047-85fadee243db · outbound

This paper cites Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:59:26.666328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation acf8a28f-bcbf-4a9e-bccb-33b9d0954571 · outbound

This paper cites STT Hi Conformer-CTC Large,.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings STT Hi Conformer-CTC Large,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5134327-b35d-4913-b8c2-3160ac533659 · outbound

This paper cites STT En Fast Conformer-Transducer Large,.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings STT En Fast Conformer-Transducer Large,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86e70306-1e73-4c3c-8544-caadf93453e1 · outbound

This paper cites Nemo: a toolkit for con- versational ai and large language models,.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Nemo: a toolkit for con- versational ai and large language models,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06f8bf2c-ad60-4813-9a3f-1e5d8bb90ba4 · outbound

This paper cites Open-source conversational ai with SpeechBrain 1.0,.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Open-source conversational ai with SpeechBrain 1.0,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7480589-1d55-4d33-b5e2-151b9aa262d7 · outbound

This paper cites Open-Source Conversational AI with SpeechBrain 1.0.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Open-Source Conversational AI with SpeechBrain 1.0

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:59:26.689043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e7b2bf57-cc6b-4781-ba60-378cb528e8c5 · outbound

This paper cites Self-supervised learning with random-projection quantizer for speech recogni- tion,.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Self-supervised learning with random-projection quantizer for speech recogni- tion,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a08d43d5-9039-47e3-86a5-13abd1051abc · outbound

This paper cites Open Implementation and Study of BEST-RQ for Speech Processing.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Open Implementation and Study of BEST-RQ for Speech Processing

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:59:26.670673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6ae3f3f7-a0fc-4c5f-9fa9-22a72794e0b6 · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T01:59:26.647323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8bf8fd8-3879-4b66-b46a-cf2d47a5e286 · outbound

This paper cites Decoupled Weight Decay Regularization.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Decoupled Weight Decay Regularization

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-04T01:59:26.650568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1fe21082-27cc-46df-9058-30c129c1cf4f · outbound

This paper cites Attention is all you need,.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Attention is all you need,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50672810-13cc-4814-88aa-55aa98333309 · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Sequence Transduction with Recurrent Neural Networks

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-04T01:59:26.654028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 79fbefee-219d-4f2f-a027-c5495be9eb54 · outbound

This paper cites Long short-term memory,.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Long short-term memory,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a237d51-49f4-46a8-9b82-949547569a30 · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-04T01:59:26.674902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e80a508b-c24b-406c-b657-c4e62c58b939 · outbound

This paper cites Audio augmen- tation for speech recognition.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Audio augmen- tation for speech recognition

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5d0a818-1dd1-4aa8-bb32-944d347593b7 · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:59:26.680654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38ea1511-4c13-48d6-bba3-dc9eaea0d257 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-26T20:03:28.491546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46665e88-275b-41e9-b431-c63b3ca69fb3 · outbound

This paper cites Improved Noisy Student Training for Automatic Speech Recognition.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Improved Noisy Student Training for Automatic Speech Recognition

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:59:26.684934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a71b1d6b-c4c3-4976-b59f-32a318aad516 · outbound

This paper cites Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition.

Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T01:59:26.693110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 20a107c2-0dfa-444f-8177-355d7cae361c · inbound