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Paper Citation Record · LEDGER

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.11898.

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

pith.paper-citation-record.v1
2608.11898 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:26:40.951714Z

measured 38 of 38 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 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

38 of 38 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a629bda-d10a-483c-b75b-438e8f1a2a92 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.774780Z

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=2026-08-16T00:26:40.758549Z digest=sha256:a716f1c30c94032d3783bd0da57a1a902607e20c1d98ffb3829aa98b6c74faf3

Observation 567a561d-5757-4c21-825b-b0325b4ae631 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.755085Z

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=2026-08-16T00:26:40.764721Z digest=sha256:fcd974b817cf42f123226b46b00d0f5f3745d582f3dcb9d2d603c10030e0fb4c

Observation e04a68dc-8a5e-4f28-86ca-eef5a1f3988c · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.736623Z

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=2026-08-16T00:26:40.769543Z digest=sha256:c463fa4b6531689c27fd983dc2d5dceb81bf185585c840eeb95b54b19f3b7fd5

Observation eadbc605-83b5-4114-95b6-9d10239f57a6 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.719723Z

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=2026-08-16T00:26:40.774557Z digest=sha256:118b2d78ca11ee128c2616bb32d4c18726142f89bf045e17606ed57e1c1a2ade

Observation 1a5c1267-6c76-48cc-9a8e-06ca448252ae · outbound

This paper cites Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.780333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.780333Z digest=sha256:9cf82356282a5129a73d80260f0faf1a4d748d15719ccd125d22ffe62b41aa74

Observation 93de4d35-0344-41f8-bb3d-62283a76c64e · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.704806Z

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=2026-08-16T00:26:40.785490Z digest=sha256:392232e690066dd74d063be18b0e45a4781b10f47034acde6f75a178b69fc463

Observation 0fcbfaba-a904-44e4-bdb9-6dfb5eaab077 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.688112Z

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=2026-08-16T00:26:40.790721Z digest=sha256:106f25c7aff997974390fb05a1fa864fa71713496a648fd31d41a1e030c1015e

Observation 31626980-a98d-4daf-994e-c34571faa613 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.671279Z

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=2026-08-16T00:26:40.795737Z digest=sha256:7cfd44c4290c1c1e34442816c664429b011ee52a26066fb73f16997f3ce4de76

Observation 6cbdfc03-c69d-4951-be6d-acc48ef649bf · outbound

This paper cites arXiv preprint arXiv:2601.07274 (2026).

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin arXiv preprint arXiv:2601.07274 (2026)

Reference 9

Resolution
verified exact
raw_fallback, observed 2026-08-16T00:26:41.397195Z

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=2026-08-16T00:26:40.800250Z digest=sha256:b1aa62ce5c08c1f282241d105cd020ee12351fbd69aac244c17ad36fbe8acb09

Observation 00b75558-c31d-41b7-ae2c-d922acc8ed5d · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.805547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.805547Z digest=sha256:acb441d6a07c8d924bf35f0f0807891d59c6ce96840b4b6f93c3c44507b7e4a2

Observation b847a3e8-9c99-426e-9e6f-f189df0b4c28 · outbound

This paper cites arXiv preprint arXiv:2509.18004 (2025).

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin arXiv preprint arXiv:2509.18004 (2025)

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.810758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.810758Z digest=sha256:d9a23bb04ccc697e9407dff427c229b36d3232253c6573f5e4dea80f697f6367

Observation 0efc5fa8-c21f-4df9-a602-c9407e009d90 · outbound

This paper cites AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.815434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.815434Z digest=sha256:65874bb5c5a3b1e640ee8ca6ac15c96eaabfee920224040ae3ae01c5ec44e736

Observation 6761d61a-fbde-4116-946d-ab2a63c3e856 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.654507Z

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=2026-08-16T00:26:40.820691Z digest=sha256:779279759ada74f970b483bb747844a8de6c1cb74819c72b441cc07a57a88604

Observation 74c31761-50fa-4612-ba6e-d4fc700dc022 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.639124Z

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=2026-08-16T00:26:40.825419Z digest=sha256:3178062201d9a272ea6e029b715a70af451827e8f6247dad301a67fc5ca965c0

Observation c1333536-490b-4593-b301-11019d27ceec · outbound

This paper cites Accented Speech Recognition: A Survey.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin Accented Speech Recognition: A Survey

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.830686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.830686Z digest=sha256:b553d3efec55be54dc502a58154871d5ac3853b1ff25ddb67618cc0e236f35b1

Observation 23961ab7-c42f-4dd0-b48c-3421df4a4f31 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.622454Z

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=2026-08-16T00:26:40.836032Z digest=sha256:69bd5b0f8c3922e91f939b5e0245603735eafa38050e635228145a1b7aa327d6

Observation c17e2b82-bccf-4321-8214-a7160a91486b · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.607108Z

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=2026-08-16T00:26:40.840852Z digest=sha256:e9e1c0e937037331fa1ee0281730868ef641d0dba5a5fe5fb92a428d61240322

Observation 922bc015-8d24-411a-906c-676072782fb3 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.590491Z

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=2026-08-16T00:26:40.845394Z digest=sha256:62eff42d0f11d594b8c8ea7744cc74a8b60cb8df502a660089c0b040e8c46130

Observation d609f941-3004-4fc4-8578-049504afaeac · outbound

This paper cites Dolphin-CN-Dialect: Where Chinese Dialects Matter.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin Dolphin-CN-Dialect: Where Chinese Dialects Matter

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.849298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.849298Z digest=sha256:53f1f61a12831f8279c5e91f647459de0f4c484bd3d9c181a6004bc251289147

Observation 16505735-2142-43c6-bbff-fbc18d7c4307 · outbound

This paper cites IEEE ACM Trans.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin IEEE ACM Trans

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.574728Z

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=2026-08-16T00:26:40.853859Z digest=sha256:91e9dc8c036585d6ee832922fc4a676316605cfa59d43501f1c804b2288df0ef

Observation fcc798bf-f1bd-41b2-85f2-63c6a748b74c · outbound

This paper cites an unresolved cited work.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:26:41.556975Z

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=2026-08-16T00:26:40.858155Z digest=sha256:10639a7874938e2f924e77d1bd92034fd9854c2b739367fc09498685ac18de43

Observation 5398a6b1-c229-4a3c-aaae-c0b805c14219 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.540849Z

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=2026-08-16T00:26:40.862631Z digest=sha256:80c23e129522cef8f59988862584ca744ca249d7b2d5cdd8206f15f4ed3fb9ec

Observation 8636054d-f073-4284-a65f-6284993e3850 · outbound

This paper cites TouchASP: Elastic Automatic Speech Perception that Everyone Can Touch.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin TouchASP: Elastic Automatic Speech Perception that Everyone Can Touch

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.866913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.866913Z digest=sha256:f3c275762e4e5f13f1cdebbdf27a9f8aefbe1428e1c0276457e52e0f0e509504

Observation e8d3df67-72b8-4ae1-a2cb-3e13c163b520 · outbound

This paper cites In: NeurIPS Datasets and Benchmarks (2021).

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: NeurIPS Datasets and Benchmarks (2021)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.522937Z

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=2026-08-16T00:26:40.872206Z digest=sha256:105aa2fbe3eaa69a8cb4d61aa693bd01a2fd5e7f742babcbe85f73a64c156b8b

Observation df80e445-065d-42ae-9abd-09c385c1e0a4 · outbound

This paper cites Qwen3-ASR Technical Report.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin Qwen3-ASR Technical Report

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.876736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.876736Z digest=sha256:142d753fedcebacf9ae6b9259afe3e32228ba41f8fbb560ec9b3b46000f2ea0c

Observation 2fdbcce7-fce2-4639-b965-5624ca57a9c1 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.503792Z

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=2026-08-16T00:26:40.881866Z digest=sha256:f8f1095ad4b75cbadf30c9343e5ad46a3c77c060a45476a98a61ae3053bd8be5

Observation 1805ab79-92b4-4fdc-9e10-ab9d3760f72c · outbound

This paper cites In: ACL Findings.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: ACL Findings

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.486732Z

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=2026-08-16T00:26:40.886346Z digest=sha256:3aae80fccbf72daf6989f1c772238ab24d1149933b3d817471e3563d0f67eff3

Observation c948a468-3459-4435-96d2-2885a04c3543 · outbound

This paper cites FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integration.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integration

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.891280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.891280Z digest=sha256:78df1d938147390987e4a8aef35e2d131b67a5278ba50bc44e2462146c4b9c48

Observation 88cc7a42-eefe-4663-b8c4-dd1fb220b4cc · outbound

This paper cites PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T00:26:41.112841Z

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=2026-08-16T00:26:40.897195Z digest=sha256:eda82c66250955a98ec4aa1a64d011252b21b57a284fa846954cb9901c07baea

Observation 9139c7f1-feb8-4f86-a41c-887dde3aaef9 · outbound

This paper cites Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.902362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.902362Z digest=sha256:72a3e670bf0b7c569794e81453142485ec9f885225db1cb79a084ddd90f158fa

Observation 4236800c-878c-4443-b037-5fcd95215206 · outbound

This paper cites Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.907292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.907292Z digest=sha256:00df16f52a2fcb2149ce968e1264affb34f405a3a53f980e2096c071a6a2eee8

Observation 0bdf8438-361c-4b00-8ca7-892b3b62abb3 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.469170Z

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=2026-08-16T00:26:40.913248Z digest=sha256:2874a4afb43c6b7dd8c7fd74509b5c40d074b007a28b9dd6a41d80374d054d0c

Observation 8a693fad-0465-4bc5-819f-6b418e93b231 · outbound

This paper cites M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.918064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.918064Z digest=sha256:107b58a46e62aaa1976fb5e43298c6aa9174649319121fe2a8aee50a5c7a99d6

Observation b37e44cd-ffb8-414d-9296-6911d5c3fe2a · outbound

This paper cites GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.923202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.923202Z digest=sha256:84ba3a8ddea3984afd04d593ed857ccdee81503c43458957f8c2712292f36fb5

Observation 2442f21f-b17d-4ddc-b963-47a780864ea4 · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.451432Z

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=2026-08-16T00:26:40.928764Z digest=sha256:21ba06b920186d94381035f4e2ddbf1a10190cccd3fdd6216626bf7dc3976865

Observation 35b4b023-d22b-4152-a5e2-0e3bdcdf7ca3 · outbound

This paper cites Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.933637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.933637Z digest=sha256:c2dc51c8ddd12b925701e844d767efe942e94dd368dbad3e8b6acea818b6f423

Observation ba51acc4-f9ac-42fc-b520-bf06b3d0a95a · outbound

This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T00:26:40.946117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:26:40.946117Z digest=sha256:a4c6de20fc43908a26315f0a2c208e762c24bccaffb6fd0257fb586e3bb759cb

Observation adc30973-be20-491e-b47d-3d2fa32be14e · outbound

This paper cites In: Proc.

On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining Mandarin In: Proc

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:26:41.434769Z

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=2026-08-16T00:26:40.951714Z digest=sha256:cc2ebe82dabc542fe4388765bb1901aed6dfbbf2bf47cf008b21b4eef34209d8

Pith citing papers

No inbound Pith citation observations are available.