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Paper Citation Record · LEDGER

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization

As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2506.22846.

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

pith.paper-citation-record.v1
2506.22846 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:03:19.299905Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T10:52:20.820305Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T10:57:05.522890Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact4
  • verified fuzzy2
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c357c5b1-d598-4987-9dea-6e82657f1a20 · outbound

This paper cites online" 'onlinestring :=.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization online" 'onlinestring :=

Reference 1

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unresolved
no resolver link, observed 2026-08-06T22:03:16.698009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:16.698009Z digest=sha256:e5546f9d5edb320308372c9595b033839b18c4f5b00d1434ff4860c895ca50a4

Observation 08f79211-6a2a-4ce2-83a4-bcea7a179600 · outbound

This paper cites write newline.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization write newline

Reference 2

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unresolved
no resolver link, observed 2026-08-06T22:03:16.768194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:16.768194Z digest=sha256:55812edeeac80b8d10b25e50b671c6ffa71d05ac1cc84d7846782f696a4cde18

Observation f3716f1d-6296-4288-85d3-a187bbd88a7e · outbound

This paper cites Layer Normalization.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Layer Normalization

Reference 3

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unresolved
no resolver link, observed 2026-08-06T22:03:16.834863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:16.834863Z digest=sha256:e869230ff649e22fa50b97be99c44f7722137b1a1ffd1a8419f89fd19a870cd9

Observation 31443c2e-0125-4675-9ed5-a36763209f2b · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-06T22:03:22.469819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:03:16.930835Z digest=sha256:88de78f31392508c0b2fbf85a680b804611f3cacc3b40ff803d3207e76af360a

Observation 3d31f925-027b-4697-9830-2ed76acb0fe3 · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 5

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metadata mismatch
raw_fallback, observed 2026-08-06T22:03:21.342290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:03:16.992402Z digest=sha256:737b9b036d5f119f40aa16065c6fc96bf220287232f28021d854f1852d33ee15

Observation ceafbf83-dd5d-46a4-bc96-80906acc754f · outbound

This paper cites Language Models are Few-Shot Learners.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Language Models are Few-Shot Learners

Reference 6

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unresolved
no resolver link, observed 2026-08-06T22:03:17.067378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:17.067378Z digest=sha256:55ffc53d99e21dadbab508008b56e74bd35c0c2adfa136ea4e06cff9337e855a

Observation 1958a26f-2a88-4e70-a0c0-5fad90fb649a · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 7

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metadata mismatch
raw_fallback, observed 2026-08-06T22:03:21.007977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:03:17.126175Z digest=sha256:5e3b7761e48d9fd00cf53fb7fea46056c0ef2f300e030076c6ee16c561a56fa1

Observation 967acd0a-290f-4f76-ba3a-70128ff6308d · outbound

This paper cites Chi, Julian Salazar, and Katrin Kirchhoff.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Chi, Julian Salazar, and Katrin Kirchhoff

Reference 8

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verified exact
doi, observed 2026-08-06T22:03:19.757792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:03:17.230012Z digest=sha256:0b66e51b48c6d40b11bc13db92a3fb7f2b387bf8ca29385413bea8703727dd6d

Observation ac1e6de5-2a06-4e6b-ae22-7f9e5f95caa4 · outbound

This paper cites Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J

Reference 9

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unresolved
no resolver link, observed 2026-08-06T22:03:17.343381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:17.343381Z digest=sha256:2ca52618b45a2ceaf0eac9268623ac66a32b31c1d9c0686db9a0575e87d25c81

Observation 19dd6959-3a6a-4361-a02f-e0b64b5749aa · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-06T22:03:17.421170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:17.421170Z digest=sha256:2531866fc31f4ddf6fbfda7d3ffe5e67f60058dbcb08d954d090de0ea8bea8a0

Observation eb4e2d51-c670-4144-a616-d275572f2a4f · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 11

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unresolved
no resolver link, observed 2026-08-06T22:03:17.470635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:17.470635Z digest=sha256:20c76b3f47952d242548af578d650cd8908922eae2a573140bb170d7d827ae25

Observation ba698487-a2e2-4ef3-b229-a18e16d5cc73 · outbound

This paper cites Distilling the Knowledge of BERT for CTC-based ASR.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Distilling the Knowledge of BERT for CTC-based ASR

Reference 12

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no resolver link, observed 2026-08-06T22:03:17.523682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:17.523682Z digest=sha256:23c2437e836a2cb69a6ad9940892b1d55ca4fddfba176d7d75b26759dc955bd5

Observation a05d98ae-74bd-40ce-a6f0-f1d032102240 · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-06T22:03:17.606521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:17.606521Z digest=sha256:fd1c8d90ffe9b79f942211d96e85bbe0b46f751d0a315c820633521f79969e05

Observation a36c5b4a-0177-4bb8-ab2f-87450686863d · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 14

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unresolved
raw_fallback, observed 2026-08-06T22:03:22.289753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:03:17.696992Z digest=sha256:f2af06e0ddfbda75305563d700972d0ab79b8b2f19dcfee20bd85fb96f653edb

Observation 4b71d2a9-0075-4bfd-ac6a-6207b632d4f2 · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-06T22:03:17.791343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:17.791343Z digest=sha256:566d374308270dad3c29076406d575fba6eda9b36544e450a3d29d46c08fdfbb

Observation 89268895-1aae-4471-9499-3458f7ca722e · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-06T22:03:17.855723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:17.855723Z digest=sha256:f68bbc61174a3a54e33e7b186ea7aabe0e327c3d6976ea05a5312c3773961a55

Observation f8f95091-d113-4848-a56e-43c9d4c304fa · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 17

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unresolved
no resolver link, observed 2026-08-06T22:03:17.943663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:17.943663Z digest=sha256:1bf406ae07aade4c11a47b89abab277c2b3c2d6941d49f4e372060a21b5f15d2

Observation d461b0e7-0512-46da-9fb7-2970d8b53428 · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 18

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unresolved
no resolver link, observed 2026-08-06T22:03:18.017884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:18.017884Z digest=sha256:155371d1a6b00b636fa4256ad7f0c450633fc4b10a55b60d4ef1955e1a34bb96

Observation 1dbc8437-7726-4d08-b071-77086a16f1ca · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 19

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verified exact
doi, observed 2026-08-06T22:03:19.642276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:03:18.111710Z digest=sha256:6f8839902d0c53ac9f71f9c30f75975003955795702c8cddffc66b337b941d01

Observation bbe5fc22-af65-4e6a-aa1f-586fa69f9ad1 · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 20

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verified exact
doi, observed 2026-08-06T22:03:19.528256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:03:18.225259Z digest=sha256:0ed5f0121b2fcdfd64e530bba21b27f3286c84425115e7e1bbd34801f5fd0a0a

Observation be641e2f-7c5c-4d93-800d-b4ba32713a71 · outbound

This paper cites Mahoney, and Kurt Keutzer.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Mahoney, and Kurt Keutzer

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T22:03:22.084169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:03:18.326787Z digest=sha256:df240ba16ee1a246e209ccc3449012e0129ed9aa09eda8134d193f9951dcc929

Observation f20fef35-dba0-4c0f-8739-725598cca592 · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 22

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unresolved
no resolver link, observed 2026-08-06T22:03:18.392073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:18.392073Z digest=sha256:d0c12a1ae2af88ce3848e4b06289251977cd3228654b6d85de77416820bbf6d9

Observation 6022ae52-5832-4868-9be2-2bb9d935023f · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 23

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unresolved
no resolver link, observed 2026-08-06T22:03:18.470265Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:18.470265Z digest=sha256:1696dfef851528ec10cda6309434b27bed785a80d4d98072171271cb6dd30b18

Observation ba164e0f-ce0b-4596-8fd2-eb85c8604d27 · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 24

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verified exact
doi, observed 2026-08-06T22:03:19.369004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:03:18.568196Z digest=sha256:78e2331fab89f3da2e2d5f46d5c12bd902117a3a72f0badc0362123aeef4f797

Observation f7f820eb-e67f-495b-a386-9ba1fd93572f · outbound

This paper cites GPT-4 Technical Report.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization GPT-4 Technical Report

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:18.658604Z digest=sha256:c5d111d827939c7811ef1475079799de7f27bf74570a6d8e50555edf3f9452eb

Observation d406c0bf-0342-4f5e-9265-da4309759715 · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 26

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unresolved
no resolver link, observed 2026-08-06T22:03:18.753433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:18.753433Z digest=sha256:567428dd715c1e4f970c34b8aba5597690a3cb34ef15ecc91e677243fcd4f76b

Observation efae0cc3-860f-408b-aee7-dc6bcb92e34e · outbound

This paper cites Paul and Janet M.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Paul and Janet M

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-06T22:03:21.946621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:03:18.832938Z digest=sha256:a6a9c8acf9a8ef787f5296a7c88f81431e13259dee30579410c677fb3f2a0e59

Observation a54531ca-2667-4c2e-8e03-44a0c2ebe267 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Robust Speech Recognition via Large-Scale Weak Supervision

Reference 28

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unresolved
no resolver link, observed 2026-08-06T22:03:18.895300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:18.895300Z digest=sha256:99eeb965e35af42220900ff8dd96d5667a7ad39869e5aa2816ca3c50a169ce58

Observation e2f53b59-57e3-43ff-822a-3239e97fcf1b · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 29

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unresolved
no resolver link, observed 2026-08-06T22:03:18.936099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:18.936099Z digest=sha256:e09a0148cbaab49967a48f224298040bfff700829b56ef5c3947a4d827f1bce8

Observation d943ae3f-7e71-4bb7-990b-0386b84a485b · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 30

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unresolved
raw_fallback, observed 2026-08-06T22:03:21.742049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:03:19.022417Z digest=sha256:2c0e0069ff0fe08a67ba0b6993b5c3eeb695eddbe5cc92a4ed9e866e542b7438

Observation 28044891-d21f-4f78-b387-b877b655a491 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization LLaMA: Open and Efficient Foundation Language Models

Reference 31

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unresolved
no resolver link, observed 2026-08-06T22:03:19.083891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:19.083891Z digest=sha256:3b6d0379da80c53bd8344f5606703da1078adf4903195142f6e41d1f53604834

Observation c0f791d6-079b-4f75-b023-54dc18371396 · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 32

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unresolved
raw_fallback, observed 2026-08-06T22:03:21.600762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:03:19.139066Z digest=sha256:3d9a9beb4997f25cf93af491709c591cf17a3a47f456fa11e6ba485a8d9d4474

Observation 61fe6ad5-87f9-4c2d-9444-70b868e793f0 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 33

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no resolver link, observed 2026-08-06T22:03:19.180857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:19.180857Z digest=sha256:759ba1761011df3bd4193b13996834c749c382204cc07f64efb034c69a13100c

Observation 17a8186f-1f56-419f-808a-1b54cb40f03e · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 34

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unresolved
no resolver link, observed 2026-08-06T22:03:19.253026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:19.253026Z digest=sha256:2c93c4fc8f167459924557ce67d72f1342073aeade4fc63cdcc9d027a6ae1629

Observation a53d1f95-4afe-408a-947b-1e495a62275c · outbound

This paper cites an unresolved cited work.

Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization Unresolved cited work

Reference 35

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no resolver link, observed 2026-08-06T22:03:19.299905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:03:19.299905Z digest=sha256:a846fa3ef6d95e3d662ac55668d61b240cd905457b73f2749066a87f92b467ec

Pith citing papers

Observation 7edf8991-f8e6-4e90-95c0-73796796ae30 · inbound

TVTA: Trajectory-Aware Viseme-Guided Temporal Aggregation for Event-Based Lip Reading cites this paper.

TVTA: Trajectory-Aware Viseme-Guided Temporal Aggregation for Event-Based Lip Reading Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-07-10T10:57:05.524203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T10:52:20.820305Z digest=sha256:03d13120f4c42aba07d5a06b4947e60770d4aa4c0b88b9bcde6e19d60f2b6bb6