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Paper Citation Record · LEDGER

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.09598.

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

pith.paper-citation-record.v1
2607.09598 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:49:07.701182Z

measured 19 of 19 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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a584b963-331b-4005-b840-12735574b23d · outbound

This paper cites an unresolved cited work.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:04.756666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:04.756666Z digest=sha256:21ce1cf3c2adee3986fafdbc4f661a201812df32f5fc4c7d20953ccb54740162

Observation e83f4472-d546-4f12-b90d-788af6dd5105 · outbound

This paper cites Xls-r: Self-supervised cross-lingual speech representation learning at scale.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Xls-r: Self-supervised cross-lingual speech representation learning at scale

Reference 2

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unresolved
no resolver link, observed 2026-08-03T00:49:04.848632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:04.848632Z digest=sha256:4521baab77477b5a7db05b9fea00927231fa570dc82687cb28902dd0b0343851

Observation 2d70fa95-c2f2-44b3-ae5e-d9725c85a439 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 3

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unresolved
no resolver link, observed 2026-08-03T00:49:04.964114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:04.964114Z digest=sha256:be15bd63231424cfeb6bd7e9fc8516d2b7a6f2bd6e1aca19a2df98364347c9a9

Observation 8bcaea37-17a7-4e15-846a-ea38cdc736fc · outbound

This paper cites T., Ahmad, W., et al.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR T., Ahmad, W., et al

Reference 4

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unresolved
no resolver link, observed 2026-08-03T00:49:05.051448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:05.051448Z digest=sha256:a3709e4917c408b7a2140d93874c8a761b541af025ebe2dd9bf07c743430556b

Observation 7a06c2ae-e41f-4b1b-ac19-c0b39ffcce31 · outbound

This paper cites M., et al.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR M., et al

Reference 5

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unresolved
no resolver link, observed 2026-08-03T00:49:05.211474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:05.211474Z digest=sha256:d4e9b5259d69303c909904bed7a3f0f85c10949625dcdf685734e97231fe7b28

Observation 14cc17a6-f4e5-4df8-903b-91b4202f7bf3 · outbound

This paper cites The road less scheduled.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR The road less scheduled

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:05.377359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:05.377359Z digest=sha256:9eca74682928fff4037480072e86fc1c368bb97246f58922754578d5ee210d12

Observation f7521d8b-8046-4b79-956f-15ffbb223bea · outbound

This paper cites Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:05.570461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:05.570461Z digest=sha256:f774e4b05e1527750be3866af7d6577876682ebc7e07667cf2ec5c56e45acfa0

Observation 6ce847e6-215c-4fab-ada9-e7ee61a7acd8 · outbound

This paper cites and de Melo, G.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR and de Melo, G

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:05.767811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:05.767811Z digest=sha256:7c296fb396904d5b4526dfe0297d04a4feb8c9375ecaffd8c573c1ed097dbc1b

Observation 965ce150-5a52-4152-993d-715aee04d9a7 · outbound

This paper cites OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:05.941292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:05.941292Z digest=sha256:7e13010bd03eb4428dd54f5d98f071909a6f841cb0d77c3a6038c2af0eb0aa1a

Observation 6641009a-6216-4e00-8545-e300ff5c5691 · outbound

This paper cites an unresolved cited work.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:06.199411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:06.199411Z digest=sha256:baef96fb72213fe4088102de1f279c24ee6177efca381ea8e3394348a18dc085

Observation c0e22115-3f50-4623-89b1-5b789bea14dc · outbound

This paper cites Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices

Reference 11

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unresolved
no resolver link, observed 2026-08-03T00:49:06.353642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:06.353642Z digest=sha256:c2a62dd7eeeb0675be09dce9d313d3e2de80c8e644da30b6d9a86d4237e193f8

Observation 8b731314-f90a-4ddd-a9e0-f13506775b43 · outbound

This paper cites an unresolved cited work.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:06.518109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:06.518109Z digest=sha256:4e6558c996ca91fc2c6ecd4a1e9c90e62bbb52fa913a318c48da63ed221d869f

Observation e9dc8311-16d0-4e6c-bad7-57138df72a64 · outbound

This paper cites an unresolved cited work.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:06.688551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:06.688551Z digest=sha256:100dad035b556fd129bae50324923990a52809b2e51511fa05c6200de01be345

Observation 43a504d1-5d03-4fff-9f76-56a1c3aa6152 · outbound

This paper cites an unresolved cited work.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:06.920694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:06.920694Z digest=sha256:f893a41dba40fe1b02d3b4cbec06873dc36883c321f3b1de5174301680b6b5a5

Observation 3fe51d4f-6f0f-4c7a-a44f-d8694501d4a8 · outbound

This paper cites W., Xu, T., et al.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR W., Xu, T., et al

Reference 15

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unresolved
no resolver link, observed 2026-08-03T00:49:07.062985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:07.062985Z digest=sha256:ed2dbc6b331a20ec50dcf7960ffaf5be3a41cce67f3ce2b230f9e4aa10ef42e3

Observation 06990bc1-468c-425a-a595-88295988cd1a · outbound

This paper cites How good is your tokenizer? on the monolingual performance of multilingual language models.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR How good is your tokenizer? on the monolingual performance of multilingual language models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:07.209348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:07.209348Z digest=sha256:d92c00b7c9bf39ea98031802dc68ba93986c1c36de3ed09c6f07f74a70679e09

Observation 65fac584-6cce-431e-81d7-a2051add0592 · outbound

This paper cites Neural machine translation of rare words with subword units.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Neural machine translation of rare words with subword units

Reference 17

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unresolved
no resolver link, observed 2026-08-03T00:49:07.422443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:07.422443Z digest=sha256:59f11ea7771b60369677ce90edb691dc3cd83eabecf2385b1e5ca827050387e0

Observation 63092b85-e7db-4d4c-bc21-1349e649390a · outbound

This paper cites an unresolved cited work.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Unresolved cited work

Reference 18

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unresolved
no resolver link, observed 2026-08-03T00:49:07.563304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:07.563304Z digest=sha256:bf666833d41b3ab0688bc9782047a256dde2bbc1e8c9d5f765ba68e3815d564c

Observation cc091ad7-866a-4df8-86c3-b9d657d5c911 · outbound

This paper cites Moonshine: Lightweight speech recognition models.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Moonshine: Lightweight speech recognition models

Reference 19

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unresolved
no resolver link, observed 2026-08-03T00:49:07.701182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:07.701182Z digest=sha256:050f7f5fad5fa267b616b8bc4ddced1f30fd1dc1f41d173a14333d450ac8490c

Pith citing papers

No inbound Pith citation observations are available.