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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 8 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:34.742634Z digest=sha256:09d050382fbf0d52b44e5daed51ea0f44c669a0018b59d26d42b5dc90f9cfd64

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:34.852134Z digest=sha256:4eabf14bd64d201027a2e883f6eda3b58d85c7b7a168b40c6427d46d6e93d49e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:34.999468Z digest=sha256:7a11c7a211714041724120812db7daa88a7195ae8e6354b62c8b675eee9df532

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:35.107227Z digest=sha256:f9939369f8b5a1b8d04702a521af8386b0d62b800a632239073df4b23c8cb917

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:35.186582Z digest=sha256:9fb88f810aad7002d84043c3dc365c3ea20956d833ba6657c3ea0599fbc51479

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:35.293455Z digest=sha256:7710d8f50c16dc9346fd508dc1486ad59e80598b55fe3053484b8c126904b65b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:35.398936Z digest=sha256:db7041e539c9dfd0552faff0f7cba353777289f43c71b2c0f340a27c4f043cef

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:35.511801Z digest=sha256:28394f5e8fa7ca18411b2e17bf56592aa32d96c8fd93ebfe82462a2615e792ca

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:35.653351Z digest=sha256:1088164e30704ba8062d858af4cb48ef09a75de196ed084e3fcdeee9b765a39a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:35.798994Z digest=sha256:7162ccc7c106fa93a51eb715fd07fd336854c3acdceecc81a6ed69b456f4b5a8

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:35.920645Z digest=sha256:9fdc027c3e4e5f0754d2add8e16cba568805047df123cd178f7fa2c515e33d9d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:36.018438Z digest=sha256:ebb10e1d0e267089b65e3e44f5b32391c6d1c34d7aacc77d28c683e6976f0fde

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:36.128314Z digest=sha256:e71100af53f117d32a043b04a4c8c660f81c19b581f0f0818aba079831232f34

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:36.237404Z digest=sha256:7cf4964885f8dae61b02305936a3507f129f6eeead280263c096f0ad186cf9fb

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
raw_fallback, observed 2026-08-07T11:05:41.392205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:36.371845Z digest=sha256:549353124a952a2346ccb5517637eb6e77b55cd5e1be6615c25f7220a6d79aee

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
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:41.261351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:36.728455Z digest=sha256:3b06b2021ba6b7f4091a16bc7ea4f926ffd56f7d2d500bea47797e4f70eb422d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:36.858229Z digest=sha256:a1039c94c179acb7d2ea9a5ad9b7d3644f19c25ff7f5a86217e917a87c3a14d6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:37.001006Z digest=sha256:a5d07f79cbc2f4c6527e35d99b027effd20fb00329423a44e86f1039c6652574

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
no resolver link, observed 2026-08-07T11:05:37.156029Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:37.275803Z digest=sha256:9d9d5205097344c3a48dc0a3eeef9bcecb7e6dd0715be4d8abd494b6ba52e299

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:37.420687Z digest=sha256:eeda35ba0dbc58a012d8becf38b524c6abcd04782c91a4720d8c5d4e7f3f2930

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:37.541491Z digest=sha256:e5f470fd214d8c34e9a09013fc09c95f0c61889eb2140c0624bb6ec4b31bff97

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:37.615941Z digest=sha256:0373cafc85f16928530813c0470acaf44665c2279625ec9c1cfef722a4901e39

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:37.703021Z digest=sha256:075046cfa4f079abf9e3ce3b9c924e45a34d8abb350629d17e33ba9cde41e47f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:37.786685Z digest=sha256:a5f8fc93f3e8f0a2524e9da089265a0d7687e79605475fe2e8f8ef8b8c34a7e2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:37.879700Z digest=sha256:67e94b9b87af83a085fb380a03729a375b1ab0fad86b3944640acc267c609a39

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:37.970851Z digest=sha256:22852832114684467897411a488f04b5d31b73d3741823a0b492d5f7778d4f31

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:38.061126Z digest=sha256:2f05bf34e18cce3314708f0996db916376f88cee872391566abf510d9db66a87

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:38.144280Z digest=sha256:f821874bcd35d3aedd546ed014205a0544316d90a89748a549b618e4e89e143d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:38.234207Z digest=sha256:e81400da72ea3dc6802d39c14a5c57c3ce7c07e73a096d868ff820e2431efe64

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:38.331070Z digest=sha256:98fe8778c32909287d02d6582766929f728c138d835bd405115b34ee78f20018

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:38.451606Z digest=sha256:19e20570f48b2eee7e689538f7b3c07b521fce51f0859b75644665e59214a028

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:05:38.515770Z digest=sha256:5705173bc9f5ee460a34470874c65c69789dea64ec74e1280cd41d6920f8dde3

Pith citing papers

No inbound Pith citation observations are available.