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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.758549Z digest=sha256:dc312ff4ec6259be0584ee1b3be5d6ae80c864ed45d3ea932ab853d2a10c8251

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.764721Z digest=sha256:18c75a608e2ddddf0c9b00baead9ee645c086652b8875d34eabd5d3871c969c1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.769543Z digest=sha256:e5604eb0ea73b2d39ff81158637a93bd51198414b934dc49ad79ab43c5b3c33c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.774557Z digest=sha256:d11c2db2e3cd8dff9847ba68b96c6d17379e0bcaef1c41f8716def20bb087fb5

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=sha256:513ddc507adf428165384e1cc46b82c3b216392a745721592086e9c8d2595f70

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.785490Z digest=sha256:aa2ffe02721adb591bdcd5275fb766f894ffea26890b755c5aae7ad3e1d929e6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.790721Z digest=sha256:acaf7f929ec31d4846f39b0f1b51b44d13117bfe69c6e239387c4cb912e71300

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.795737Z digest=sha256:e7de51b6175250aac0618920aa14417e74a1936f06ab2b458ace95c54e88a6cc

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.800250Z digest=sha256:20229c3dafcb83aca077d5d7833b69e2f3393168b33b4789a63d2dbf171b7d2c

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:d37ca2c8b6302d8650e0d97dec6e9cafc769fc8e80761ad4a2c36ba1c812b531

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=sha256:722b87c4ffa58bb9b8fa2b6c49b7e27cfb292ccccfa1b3e2ea117a851ed259d2

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=sha256:08908de0929b9923cb05ec0289f42358795bf394119d93b4ecb9a570c1618016

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.820691Z digest=sha256:b913627938703d51d61b34a3bbda70c976c6e2fed0bd54ce43ee1816793af1e4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.825419Z digest=sha256:e1c59f28e60dce805e243f3d7305ecebd08cba5fe222127a84ce9e37c262d012

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=sha256:9370cd33cb1be06a5979339fd8f3412e5193709aceaf230036e2b2180de55760

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.836032Z digest=sha256:e7c1acb1960c9c0ef49bc85b56bdf620f90d23a400bcdc48d6e585276ff6d654

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.840852Z digest=sha256:78b2bfd65c15db411e08b53471bfce02dcc806b769bd8dd7036875882a24a918

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.845394Z digest=sha256:dfb7ad3e39370c470c403f380c67abe51dfcd73d6ca1dbc0dfe88a2bcd1c25a3

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=sha256:2fa41d256f6bbdb5816cee14065b69279e1d62f1dad4cedb4cc5aba1f9cddcd3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.853859Z digest=sha256:6d10d1343a19def05f3716a2384e5ffe9ec4218efa6a71f4aaf77dfad2508f40

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.858155Z digest=sha256:ed0329444bf4514fbbe716064d08a2e42f9ca7c74f1411cc903d61e870ca54c2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.862631Z digest=sha256:41617d9c51c9c3370de1e63719eff497e6cc552d0540b14455ec805b5d10242b

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=sha256:84ac0b729bc71dee427a7dd077b9e7690c1caaa52ea917ec4410536bf661792d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.872206Z digest=sha256:83cd193373b848015fb5e6a53a809fa614abfe9837bbc67a9bba0b2418c8b849

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=sha256:749ecc803c4dc55c756333638535b882755e7993bb681cb57c38391065116ab6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.881866Z digest=sha256:f150151ec95474dc0942dc7f90095851e336639e82dad7d32ca6e5d108d6eb28

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.886346Z digest=sha256:9e7e10df312cb676b1a450f3b029544607de64b261c55288cc3805d2c0ca5312

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=sha256:858b6bdd2d0d3eb599053d4593f61ad6ba87b390e7a7f548a7edaad94110e088

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.897195Z digest=sha256:28aef5c075a351fe44aee46e9b363026899c2befdb2daf4e82408b7a83918e23

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=sha256:4126e8ee4ea119ab82aabd7da0e6a191bbe97e0d173667ef7627a9eec37ab539

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=sha256:844687c432aa278a80c7638b05aee9a5bacce1e8f72613d51af63eb2f83f9c73

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.913248Z digest=sha256:0cd19bd92230b1519e66a794580a690b5c7f2e94757137b75b98b380424026cc

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=sha256:9a7d9449abd34208e76082cb585aac28220389d93213c71f26e83d5146f0ee13

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=sha256:9210194b121195c807fa8cc0c79ef28d35c8d3f98cb0cfe48f50921d85e9e3ae

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.928764Z digest=sha256:2f54799d2fc1ac58b3afc23091dff8bb3b8a353dffb38e9a2a4879c51d57ead9

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=sha256:37694667be1c70250e0f0ceecc68f8d901482daa16e0795bb583edf90e719a92

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=sha256:1403c98826717f66a5d532d7436fccec19e130275236e5893c7f84468e4dfdc9

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:26:40.951714Z digest=sha256:d433e086153c76262d3b6f1e82d99e63e8c21d928fd577c617a23021e173d289

Pith citing papers

No inbound Pith citation observations are available.