Pith. sign in

Paper Citation Record · LEDGER

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

As of 19 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:bbbfadced07a2d4c43a438dd6f2880830fe7a41c03e206902132909778fd3132

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:a2bd505981287c41d748d2f79806dafe05310cfc59d2572733a8602be4dd5ed3

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:f00fa546c67710b204cde09c512cf199f85832a4e6188cc0f745ed72c7457dfb

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=sha256:9ebdc390dadb18fe74ffe07db1ad3838b0baa3771b1294104dc8618dab4c2d4d

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=sha256:81cb0a2f7503491b54af5f2df5b21d32f11bd046b98368159566617171e493d7

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=sha256:0578e4a3e232ff2e279e113ed1e6f8e483fb500a86a55ad6544bc79651fbfaa9

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:c2118a615620785ae2106827c642bea431f303c4f7fe0156d8492136d4df0270

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=sha256:654f39c805c187bd43ccd3420aa1e2624d909cc0a12a31ac6d20ba7a6b07400b

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=sha256:9009003ed11994a3598059fbd7627adfb1d1f6774a1ad0c38b4b08c647866c3a

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=sha256:45b04b41e82480d354d1f847cab29db0e388874badc6ab142467011f960534c9

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:d26a4d25b3943c8b2120407817aadc9e2f054686f220726d88445797836bb823

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=sha256:21e1b7eec7c48ecd6f6355c29f83f137deb267f609595a886c4f009dc6643959

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:c9245c82d698373f974a49db8c7179fb2ec6dfc2a80ef0bb43e82fae0eb65baf

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=sha256:05bae96c1cdd18d10e4072f34844d32c1108fda9030386d40fca947eb1f194e1

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=sha256:22d99f43f928d399bb63fea1808d8c72aec52b4e02005f97691e5c0c0b7ce19c

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=sha256:11f00cfdfe862b91b1f39332d0b1e31dafd7b5ef16a2ffc2afbeb518bcf6db73

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:e5663a76fd9e2b0006db869ef3b5c6c681d01cf5c2e898ada8f27301182c8765

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:dd88ba0dad53f8b83190a5f907227516df718ea8a8d81764c7f991f2ad64889c

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=sha256:3eebe90f341b70dd1e463c1a6897380e251f7885e67a9b93b9c427715d68b363

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:bd2730aec8b5a7e3729e7d9945f8f20dfcf450bb4d59b864a91d080cc2f81521

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:c8eae2a4cab86615802073872fb19dfd30bc23e80d4c0cefd6a0e860731f681a

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:cf73ade7ef2784018d38e0064a3b3632b6bed8a6107924a063ac82bf44b431d2

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:d375d5ddfa2dc0d42b8a3c490d4ad10991515641d90aa59af65e1ec869c5a49a

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:d898197ef4dd8b0b79b68c88d0387064d00b3904583fc9ee18c13ecf75dde33a

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=sha256:50e4542384486128664403cbafb6953df991da29f4a807ddd2b1ee38d615978f

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:b92324e2f438abcbb9e840b7fdff8f5069cf8744fde6df05239b571d15245a5a

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=sha256:523913fb301fcf4408003cd999636d625b8b2ae30a00131030ed8a191fd588be

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:c61a48f49c7072dfa58e79571ef7a198170baa1592179d1b5857adfe97661e29

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=sha256:765d7112f789945a840ba1e883b6a1f6a3da2417327a91994a6a2aa4fe011ee8

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=sha256:27808e54af41f8800115ed45eacacacfa57910c202efac5b9ad2842c254a51f8

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:f33f33793389e77c0945685583f25039048bbed0809f3f8bac8202eb99950217

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:dc189eae43adf6a5fa4454755d3c17b3dd0ceba37b68ef86a44f2d37df98b5df

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=sha256:745bb5c707885bb0c1426d57c2471907efcad510ff94e91a3c225f80480d47d9

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:a772fcf967b61fa0c7ef068260f6b7226c2fb8e32a8ad3355a620e9a7cf87a65

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:d8713a706695e45bc449113c5c35af6d12485fa8a6964da8e0efb6a4162ae1b6

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=sha256:34de2b2c685cc60f3d9befd0cbeaedffcc6859e7ec0a5538092f908ac541efdd

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:d3af0d19198880bf712dc0b5d08de2ba96cf980278f727194877bfa758298ba2

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=sha256:0e9b6f490c1c1cad5fed9aec50dea338d14959e1f6199513e45fdc41d25151c4

Pith citing papers

No inbound Pith citation observations are available.