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Paper Citation Record · LEDGER

Improving Contextual ASR via Multi-grained Fusion with Large Language Models

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2507.12252.

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

pith.paper-citation-record.v1
2507.12252 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:56:54.617092Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T20:56:04.778077Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:57:46.903174Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dbba3a42-c6a7-4b5f-ac20-aced6c130319 · outbound

This paper cites URL: " 'urlintro :=.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models URL: " 'urlintro :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:51.407765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:51.407765Z digest=sha256:f9da07376822f9088783e8d22a33a3158a8812f5a791226a6e7f2449b3685114

Observation 8b6ab7ee-e56d-455d-846f-6e3fa1d7cbb0 · outbound

This paper cites write newline.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models write newline

Reference 2

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unresolved
no resolver link, observed 2026-08-06T16:56:51.467769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:51.467769Z digest=sha256:5dea140e577d2535cd2f8e59e9b4da9fe2de307e4f5a2864bb1d27541d24e2d9

Observation 202e5117-56e5-4ca0-ae9e-5ff9fd6ce3ac · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 3

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unresolved
no resolver link, observed 2026-08-06T16:56:51.544089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:51.544089Z digest=sha256:859b8104bbbac35b67240d7163ca25d34281dd3cb0364e03563a4eb76dbaa50b

Observation ab9c7ea9-bde3-4b65-ab9c-a9eab1aeee15 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:56.892152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:51.642160Z digest=sha256:0cd9a7ba93fb51106202df35b60644960e39c4d016043310d1e45a988b5f506c

Observation e5bf7f3a-5aa8-4e1e-9ae7-b0fc88ca08ec · outbound

This paper cites Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:51.734646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:51.734646Z digest=sha256:71d5d8071d23074fb280320e6ed7ace44e4931020c9eedfce7794b71b42f46ba

Observation d972e975-6570-46e2-af59-555e1dc49c21 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:51.812940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:51.812940Z digest=sha256:2439c7e4e7fd5d195dd4e4d342ea8ae0122bab7795ea08297ac8dab6a166ea28

Observation c58f39dc-1a8c-45a0-ac35-55b50af4517a · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:51.910549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:51.910549Z digest=sha256:08872a3021b4fbc65ebb729ba0899aae7acd95c089b8bd2070d505150d1ed8c9

Observation 707de180-4cf5-4993-b9d2-c95cbe17e233 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:56.745226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:52.020062Z digest=sha256:f0a687a475df9044a450dc9f635831a87d602f074f2a4cabb52f78ee2eedf2b0

Observation 7bc64754-361b-464b-834c-f6179726bc88 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:52.121187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:52.121187Z digest=sha256:b17833eb3af55236595e532071413fd0090112e1ad70d0f5f1309f4281573d56

Observation 45ff4530-2f38-48c4-8b0a-3e8b502037d8 · outbound

This paper cites Towards better decoding and language model integration in sequence to sequence models.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Towards better decoding and language model integration in sequence to sequence models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:52.220599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:52.220599Z digest=sha256:4b56a1f2ed183cafc39ad4d31a5fb82a6d76c84fdc4f290bf29ad3c08659c2b7

Observation 6f7d2df0-cd58-47d3-ae0e-56c5138524f7 · outbound

This paper cites Strimel, Ross McGowan, and Athanasios Mouchtaris.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Strimel, Ross McGowan, and Athanasios Mouchtaris

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:52.320135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:52.320135Z digest=sha256:79edd941d65a96fde2b5d047a1fe97dae712d865307a1ee6bfb2b302a5214de6

Observation f4c4dc5e-11a2-4df4-a781-f64d91ddfbb2 · outbound

This paper cites Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:52.419454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:52.419454Z digest=sha256:c95548a98ebc9fc7e9380f0d8c979093345d3611452bff0ebd770a94984a0d60

Observation 9d050291-e899-4038-902c-b63f9a115d12 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:56.614037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:52.499551Z digest=sha256:7894c756d8a5d2160a7490924bf8468546a097879d6f88c9fe845953185f163f

Observation 569c80f8-ea94-48f2-a056-93c0f68dfd12 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 14

Resolution
verified exact
doi, observed 2026-08-06T16:56:54.732656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:52.589203Z digest=sha256:b14be326e76f8c10c982588f2e1158ce9bbcbbad2bbb147fca0b498ee46715b0

Observation 86669a47-adb9-4b25-93e9-7e74d10ce510 · outbound

This paper cites Retrieve and Copy: Scaling ASR Personalization to Large Catalogs.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Retrieve and Copy: Scaling ASR Personalization to Large Catalogs

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:56:55.268141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:52.687195Z digest=sha256:ed43c4fddb5b1202dfd2b981955b7028c9b44d574bfa90c00b3e17d77d2e42d0

Observation 3dcc325a-a380-48d4-836c-25dab3b690ce · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Gonzalez, Hao Zhang, and Ion Stoica

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:52.786353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:52.786353Z digest=sha256:739f1210f638d1554237eb717312f2f8b91c1cc8b63031f0ba1fd14ee7933eae

Observation 2034b1ab-7a95-4aa7-b546-ad63d39b9817 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:56.451950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:52.903825Z digest=sha256:b8cbda6a23f36abaf25683cc2e9187595fe46dfca1850c72b4c34a8e137d45c2

Observation 1c330355-1414-448b-a294-b3db9f41f309 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:56.299163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:52.973750Z digest=sha256:637a9f440b7a026c3206f58cccc686704528386fd0ea6a6cba2ca2e0d5d18e1a

Observation fd3529cb-08bd-4ce7-8af2-b617e79627d1 · outbound

This paper cites Decoupled Weight Decay Regularization.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Decoupled Weight Decay Regularization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:53.055014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:53.055014Z digest=sha256:1695ea89eb25b0460c824566a5617997a7b35c9ab468cbda87e1d4cd6034cf4c

Observation 5bba937d-41ce-426e-b242-553056505e62 · outbound

This paper cites Language Models are Few-Shot Learners.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Language Models are Few-Shot Learners

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:53.127672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:53.127672Z digest=sha256:8e6e061d424385778416f9145ff36dd2fdf074fd64572f96472c0fb7554dee39

Observation fa6c5525-1c5a-457f-a360-291a140d2e10 · outbound

This paper cites GPT-4 Technical Report.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models GPT-4 Technical Report

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:53.239153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:53.239153Z digest=sha256:2a42d6d510500ddfe4e13a04d7f23939365129322a91fc9c51415d2aaee17349

Observation c4be64b5-7f29-4415-8c69-b771b1a50493 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:56.157636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:53.313703Z digest=sha256:692feedd58eefc34187e2393a094e48b26cdbb587c7311c08de90c15c470e584

Observation 574eee85-20ac-447c-a5d2-438fb3272c5f · outbound

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

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Robust Speech Recognition via Large-Scale Weak Supervision

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:53.397036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:53.397036Z digest=sha256:c5f2db5682dd2d561f33a5cf53777592b576c66f898834b9ac2b029fd76d62ad

Observation f5474c90-ca98-4a29-9873-d388c1d2ce55 · outbound

This paper cites Cold Fusion: Training Seq2Seq Models Together with Language Models.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Cold Fusion: Training Seq2Seq Models Together with Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:53.480071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:53.480071Z digest=sha256:33ca1d40a60469230f95413f868d93e360a43c4e826515f1c3a9fde7bd561ea5

Observation 88f2c069-e434-4930-b5d5-1f2ded0c0f7f · outbound

This paper cites Contextualized Automatic Speech Recognition with Dynamic Vocabulary.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Contextualized Automatic Speech Recognition with Dynamic Vocabulary

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:56:55.088963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:53.554074Z digest=sha256:b8ec7433c2cc7e1956ecce8df0b5e834d1c7e4137f447837d99e42a8495d4e72

Observation 60e0240b-1891-4f65-89e6-c47161898121 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:56.014987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:53.627114Z digest=sha256:a696e7268b55e8d3c2ef8be9799575e5334d4cce6fb0d4c25218f681770e581e

Observation f8ef0128-f44b-4c0f-bea2-4063ffea8e7d · outbound

This paper cites Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:56:54.920057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:53.710698Z digest=sha256:e984f3584340ea572520f2c42fae8b6af6f9d6b4465a3f6b9e06bcc6f3e38246

Observation ce19127e-5d87-4e38-bfc7-27aa858b046b · outbound

This paper cites Can Contextual Biasing Remain Effective with Whisper and GPT-2?.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Can Contextual Biasing Remain Effective with Whisper and GPT-2?

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:53.787650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:53.787650Z digest=sha256:47098bd79d88194eac75b78f1dd8d9a6e2bb539b5ab03359cbaa5c43312bf0a4

Observation 0aad6060-bbb6-4637-892f-a187d5019a01 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:53.876512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:53.876512Z digest=sha256:5fd30f6d69924df39ae80468017c853cd6fc42014800e25a6c711370c4dfadba

Observation bb6198f2-3f9c-42dc-abb7-33db22e7654b · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:55.836818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:53.948374Z digest=sha256:2f3020e452e75b8cc80f7e3507f65f77992d231b3d216a1851b1b7536126a43d

Observation 7667a4a1-997a-49cd-9e82-d4430bbfc2d4 · outbound

This paper cites Baichuan 2: Open Large-scale Language Models.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Baichuan 2: Open Large-scale Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:54.009835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:54.009835Z digest=sha256:fbf4e63dcfb129b53bc0d539daed76df6326d401c87469e66ee93132c498d523

Observation abb93f9f-95bd-4510-8e5d-2c9b2f41f5ba · outbound

This paper cites Qwen2 Technical Report.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Qwen2 Technical Report

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:54.096682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:54.096682Z digest=sha256:e5f974ea8835f1ea5d735e61b3688086d66a524efac2f3705881e29aba7a6167

Observation bf96ce0b-4b7b-4980-95c3-bb2322ae59fc · outbound

This paper cites Qwen2.5 Technical Report.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Qwen2.5 Technical Report

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:54.197906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:54.197906Z digest=sha256:d5303442dd837f9e1c28b0b02c187686ee59fa4d4efd687aa8d17f1579b68b4f

Observation 81451311-c797-4b18-ab09-3ff27d2ae83a · outbound

This paper cites MaLa-ASR: Multimedia-Assisted LLM-Based ASR.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models MaLa-ASR: Multimedia-Assisted LLM-Based ASR

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:54.311194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:54.311194Z digest=sha256:b529faeca4395f4d4323d5053c617fa7207f52d02ef7343538c6432ce1cbe2a1

Observation 6f783829-deab-43af-978a-f465b6305998 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:55.701070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:54.388862Z digest=sha256:a1924d7e66292c4985e2e210a1e3c1c6a5dd37949a9df2b1eec82bb4b2276085

Observation 1d8c137d-8c32-4c6c-a43b-72dd1da1367d · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:55.523302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T16:56:54.461659Z digest=sha256:a1a71c300727bfa5ddd698bda69bbf99aefab2eeda83632a963ce244deb906aa

Observation 4c899083-146a-4761-8696-32191300b649 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:54.522282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:54.522282Z digest=sha256:7d304d8ac490932c9b42ad1991a216119a6b71b314f246835c22cb0d460d8dbd

Observation e3e581c1-c5b9-4f78-a769-dacef1d47685 · outbound

This paper cites an unresolved cited work.

Improving Contextual ASR via Multi-grained Fusion with Large Language Models Unresolved cited work

Reference 38

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JSPG: Dynamic Dictionary Filtering via Joint Semantic-Pinyin-Glyph Retrieval for Chinese Contextual ASR cites this paper.

JSPG: Dynamic Dictionary Filtering via Joint Semantic-Pinyin-Glyph Retrieval for Chinese Contextual ASR Improving Contextual ASR via Multi-grained Fusion with Large Language Models

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