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Paper Citation Record · LEDGER

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.03606.

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

pith.paper-citation-record.v1
2506.03606 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:38.515770Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 101349fd-e08e-4c68-b3d4-7c2b9f523180 · outbound

This paper cites Lexical Tone Recognition in Mizo Using Acoustic-Prosodic Features.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Lexical Tone Recognition in Mizo Using Acoustic-Prosodic Features

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 364cc50f-cc1d-4b40-9028-218a99c3d243 · outbound

This paper cites an unresolved cited work.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:05:42.345548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:34.742634Z digest=sha256:35a5b9b1e6418f54af9b57426f8827b33327904e7b369875b2c18e2ccd5aa9e0

Observation af6d217a-02a4-488f-b040-8cb099a6aeaf · outbound

This paper cites Gogoi, S.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Gogoi, S

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:34.852134Z digest=sha256:6ab7f50cd090cb30df655bcef5d5c52e49b4e0542f977629cf8d1dbbd2a46c08

Observation fc3349da-43a7-4942-b68f-8056bc5836c3 · outbound

This paper cites Detection of Mizo Tones.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Detection of Mizo Tones

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:34.999468Z digest=sha256:bf109fbf6a0ba09f500af27be2efa90e4bdceedb39ffe0c20678cb126ba83955

Observation 212d8eb9-5cc5-44de-9233-7d3bd8106a90 · outbound

This paper cites Disambiguation of Isolated Manipuri Tonal Contrast Word Pairs Using Acoustic Features.ACM Transactions on Asian and Low-Resource Language Information Processing, 23(3):1–18, 2024.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Disambiguation of Isolated Manipuri Tonal Contrast Word Pairs Using Acoustic Features.ACM Transactions on Asian and Low-Resource Language Information Processing, 23(3):1–18, 2024

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:42.301364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:35.107227Z digest=sha256:245e1475952bfc4bb80aa58d87a5361e659198fceaa43ba9908b7cf2c9784a2e

Observation 006e7166-d67b-4a41-9cfa-61ada7c7deef · outbound

This paper cites A hidden Markov model applied to Chinese four- tone recognition.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models A hidden Markov model applied to Chinese four- tone recognition

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:42.287481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:35.186582Z digest=sha256:093fc6122218fe606b8000e9baaf2a38a9a8828e4e7aa5054a22404d071957e7

Observation 5ae1097f-af43-4b5a-9e80-a20270bba8a9 · outbound

This paper cites Hidden markov model for Mandarin lexical tone recognition.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Hidden markov model for Mandarin lexical tone recognition

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:42.272076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:35.293455Z digest=sha256:37489f3686e2bbbd3374f87e3c381d4d2d3b2ded56284c5b2e46093410430473

Observation 210a937f-a1f3-4e12-a893-3b7986fa437c · outbound

This paper cites Tone recognition of polysyllabic words in Mandarin speech.Computer Speech & Language, 3(3):253–264, 1989.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Tone recognition of polysyllabic words in Mandarin speech.Computer Speech & Language, 3(3):253–264, 1989

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:42.256388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:35.398936Z digest=sha256:2864e227b2fa5374aa93dee7df5d104cb33d8f33ef4e714432cdf9a3d1416136

Observation bfe6b356-d25b-432d-84bb-35c04feffd6e · outbound

This paper cites Using tone information in Cantonese continuous speech recognition.ACM Transactions on Asian Language Information Processing (TALIP), 1(1):83–102, 2002.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Using tone information in Cantonese continuous speech recognition.ACM Transactions on Asian Language Information Processing (TALIP), 1(1):83–102, 2002

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:42.242328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:35.511801Z digest=sha256:45c2296b06eda65094bd1a5b95a2f88a958cb0e4e0fab459f357e932b25ef596

Observation c3c5ffaa-70f7-4c31-8418-d0562e435412 · outbound

This paper cites Tone recognition of continuous cantonese speech based on support vector machines.Speech Communication, 45(1):49–62, 2005.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Tone recognition of continuous cantonese speech based on support vector machines.Speech Communication, 45(1):49–62, 2005

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:42.225700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:35.653351Z digest=sha256:5846cad08140f913351366421b850189fa3af164a6f34f83ce5429fb2d19a342

Observation ea8b4480-adda-47c0-a09b-bd46608bffc4 · outbound

This paper cites Mandarin tone recognition by multi-layer perceptron.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Mandarin tone recognition by multi-layer perceptron

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:42.209790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:35.798994Z digest=sha256:59e7012fb26e25a6b45039aba145d9578e924021f32ce57c926cac1b16485c22

Observation c8e0d520-dd83-4fc8-9b13-edf33930a354 · outbound

This paper cites Highly accurate Mandarin tone classification in the absence of pitch information.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Highly accurate Mandarin tone classification in the absence of pitch information

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:42.120803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:35.920645Z digest=sha256:326e15892c02b37d1a1346dba5efe97f581af25369c24958ffacbc0711a27c25

Observation 4f0d76ac-36df-46b7-92f2-96ea058e3779 · outbound

This paper cites Mandarin tone classification without pitch tracking.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Mandarin tone classification without pitch tracking

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:41.913339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:36.018438Z digest=sha256:80dc187cb6c7ab68ac9b6381d132f3ea2fac495d65a82787d1cd2ebd73bd8a61

Observation e8337134-50a2-4c92-bbc2-ef3ceb1916ba · outbound

This paper cites Tone classification in Mandarin Chinese using convolu- tional neural networks.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Tone classification in Mandarin Chinese using convolu- tional neural networks

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:41.705313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:36.128314Z digest=sha256:2f3a3c3e835acce11c80f22ee087941e44f0c1f51817eadc4f73b2ee08a810c2

Observation 4201e67c-ff7a-4014-afbf-c8f7a95f00c4 · outbound

This paper cites an unresolved cited work.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:05:41.514617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:36.237404Z digest=sha256:1e3a8ecc0c553af83d54de9fa63ec0b3a8758c365abb3541682f9e2b78954744

Observation 2c280c94-6d7b-4511-a448-447a7d81836a · outbound

This paper cites Tang and M.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Tang and M

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:36.371845Z digest=sha256:104f387632bf24eb14f460241573bfc9d32c5877344ab661f0151281d8ec4153

Observation 24745198-2a87-42b0-8570-97d8cf99134f · outbound

This paper cites Huang, K.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Huang, K

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:36.608838Z digest=sha256:6f5467a8f52337e95d61cfd3cad6f08444f32c6bcb0dc531be03537e04ffb6de

Observation 0653017e-2209-43a1-acba-3510efe27e83 · outbound

This paper cites an unresolved cited work.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:05:41.145122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:36.728455Z digest=sha256:67320683680506cb7ebd8a0be817e2352d74cda85045cc98846f05d8e3ca2b93

Observation 8f8463d6-7d62-4ead-95a1-56f6f0c2e0d8 · outbound

This paper cites Liu and X.-L.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Liu and X.-L

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:36.858229Z digest=sha256:3509a1a09318f9e6da323463a23c815eac813499a22857da8f7ced40b6ad170a

Observation e867d7d6-0071-4320-9caf-45a2dd6f501d · outbound

This paper cites Wav2vec 2.0: A framework for self-supervised learning of speech representations.Advances in neural information processing systems, 33:12449– 12460, 2020.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Wav2vec 2.0: A framework for self-supervised learning of speech representations.Advances in neural information processing systems, 33:12449– 12460, 2020

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:40.917247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:37.001006Z digest=sha256:a39a283081010d1ee180da5980114bb58560b4225b37743c9c9f6abf6af27ea7

Observation a0079dc6-5f4e-4a07-96fc-91d94020d13b · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Hubert: Self-supervised speech representation learning by masked prediction of hidden units

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:37.156029Z digest=sha256:8033cfccd7b221f47f69e7d3605a66c8fa132b26b4a493c8834da141320527cc

Observation 59880fc4-0c07-4a21-99f8-c87f0910f993 · outbound

This paper cites A layer-wise analysis of Mandarin and English suprasegmentals in SSL speech models.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models A layer-wise analysis of Mandarin and English suprasegmentals in SSL speech models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:40.798675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:37.275803Z digest=sha256:4bf6af53dae1520d53f99e89804474aaa113038a04876b4c3710f9c6b744584e

Observation 721a43c0-aeca-4a29-85ce-a3169f091507 · outbound

This paper cites What can an accent identifier learn? probing phonetic and prosodic information in a wav2vec2-based accent identification model.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models What can an accent identifier learn? probing phonetic and prosodic information in a wav2vec2-based accent identification model

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:40.660198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:37.420687Z digest=sha256:66a2c1c846d9ce80a06222326c95f39bc615893f16c75364b620bd88b686f940

Observation 331a65ee-9dc8-47d2-a21f-cbfea3eb508b · outbound

This paper cites Self-supervised speech representation learning: A review.IEEE Journal of Selected Topics in Signal Processing, 16(6):1179–1210, 2022.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Self-supervised speech representation learning: A review.IEEE Journal of Selected Topics in Signal Processing, 16(6):1179–1210, 2022

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:40.581646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:37.541491Z digest=sha256:bb8b6a1028ef05b083bed95c399d9c25bcded9a9309e4bc3c915281d12ab04df

Observation 19edffc5-2be2-4553-8d45-8c5e353b2f71 · outbound

This paper cites an unresolved cited work.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:05:40.448302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:37.615941Z digest=sha256:23a9e029b4694de07e9aced0883068314cc7c4fdd82b0ede4d48093c6107e461

Observation ca6f86c9-b9dc-465a-9214-b888bdff6ae3 · outbound

This paper cites Performance analysis of speech encoders for low-resource slu and asr in tunisian dialect.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Performance analysis of speech encoders for low-resource slu and asr in tunisian dialect

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:40.307608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:37.703021Z digest=sha256:dce6c44b723c2d48fbd02994146479db0e131bf754b0e6803b2da317097f32d7

Observation 35a8361a-091b-4f88-9b98-b742f8271050 · outbound

This paper cites Encoding of lexical tone in self-supervised models of spoken language.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Encoding of lexical tone in self-supervised models of spoken language

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:40.157547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:37.786685Z digest=sha256:15d2d233acbaa0fe003523fd1f7365d7d55a4e9ec6ec1d1fb5e0ea682dbd88b9

Observation 520c30a6-60ae-4cce-84e5-9e0db52e8447 · outbound

This paper cites V oice onset time in Angami.Linguistics of the Tibeto-Burman Area, 47(1):32–56, 2024.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models V oice onset time in Angami.Linguistics of the Tibeto-Burman Area, 47(1):32–56, 2024

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:39.969861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:37.879700Z digest=sha256:50dbaf3d0bf4d152534daf18549236d209c9d735c872595821667359a6ad9176

Observation ef7e08a2-8f72-4f91-b2a1-4b89327c4d51 · outbound

This paper cites Analysis and modeling of dialect information in Ao, a low resource language.The Journal of the Acoustical Society of America, 149(5):2976–2987, 2021.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Analysis and modeling of dialect information in Ao, a low resource language.The Journal of the Acoustical Society of America, 149(5):2976–2987, 2021

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:39.779524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:37.970851Z digest=sha256:d9c611748a2c4bd2926797cdaca6ea8be2511882e54189962db9705974c1229a

Observation f6499b5d-296e-47ee-adac-f7383ddcffcd · outbound

This paper cites PhD thesis, Indian Institute of Technology Guwahati, 2023.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models PhD thesis, Indian Institute of Technology Guwahati, 2023

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:39.597237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:38.061126Z digest=sha256:039129de8773a36ef0273b086a77a59be994a9a28d3d27a02a15a1a1ad13e633

Observation d663e98c-5fcd-4140-a461-cd6546f93062 · outbound

This paper cites A Preliminary Acoustic Study of Mizo Vowels and Tones.Journal of the Acoustical Society of India, 37(3):121–129, 2010.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models A Preliminary Acoustic Study of Mizo Vowels and Tones.Journal of the Acoustical Society of India, 37(3):121–129, 2010

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:39.461123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:38.144280Z digest=sha256:d1c6cc0b0e0524f92fa5f2ac6d50136abfc50e4a0f8cbf8d98cecaca1766e005

Observation 2eb2be9d-29f7-43f9-90dc-3a5cd600bc24 · outbound

This paper cites PhD thesis, Indian Institute of Technology Guwahati, 2023.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models PhD thesis, Indian Institute of Technology Guwahati, 2023

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:39.272959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:38.234207Z digest=sha256:9b1f7caeed980feadbeed662e63fece29ddd21974c724125a6ff124bbf69e7e6

Observation 144ee4fd-206d-4ed8-b708-b1f1d6b8a434 · outbound

This paper cites Praat: doing phonetics by computer [computer program].Version, 6:1, November 2020.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Praat: doing phonetics by computer [computer program].Version, 6:1, November 2020

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:39.092814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:38.331070Z digest=sha256:4fd0468ee1d7549deaca7b31b7d1b1c5055a2d58f2579e8bf1bbcf5714650700

Observation 86d4ebc3-0c0d-4a2d-8bf1-3b6344eebfee · outbound

This paper cites Layer-wise analysis of a self-supervised speech representation model.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Layer-wise analysis of a self-supervised speech representation model

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:38.899917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:38.451606Z digest=sha256:d770f82dae4dca3a1f662a87be61625ad839bf829593eea054e2de9c2ecfc051

Observation 6868065a-f01d-45d4-848d-add5ba9ba9b2 · outbound

This paper cites Analysis and modeling of dialect information in Ao, a low resource language.The Journal of the Acoustical Society of America, 149(5):2976–2987, 2021.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Analysis and modeling of dialect information in Ao, a low resource language.The Journal of the Acoustical Society of America, 149(5):2976–2987, 2021

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:38.698804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:05:38.515770Z digest=sha256:5b6f4a5dd3fbf74f9b66092e8f8a7f24f111d89d0819396fe7836efef907b3b3

Pith citing papers

No inbound Pith citation observations are available.