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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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

Resolution
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=sha256:84a094768da067a1b6072b57b623f857ee45bf65dd85bd9229e99df2a7d3a5d6

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

source=arxiv_source observed=2026-08-06T16:56:51.642160Z digest=sha256:a497600ed104a919d84e0cead611f2ebacd4588a34dbee2fe5dcc106c189b0f8

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:bdd6e949396fd03a20d594c0353848a296854db3972e35422f0ce82323f17e82

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

source=arxiv_source observed=2026-08-06T16:56:52.020062Z digest=sha256:e10e19a072c8d24568dfbdc3e2081b528fe0648b6ec8a785ed43b037af82ea18

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=sha256:26a386b63ab6afcf91c3df18f793c0e682520dc7faf36269ba1694082ed8004a

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

source=arxiv_source observed=2026-08-06T16:56:52.499551Z digest=sha256:0b3ab85026dc7b8d680e90ad250f14403140c70fcb2e05026f7b0b4a2fb09f68

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

source=arxiv_source observed=2026-08-06T16:56:52.589203Z digest=sha256:7bf87ee423f89c2d3dab5197217068f22ffc36d37b6d2bcb57e03572c7f410f2

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

source=arxiv_source observed=2026-08-06T16:56:52.687195Z digest=sha256:5b908fb901c85dc576a1ce21eaed9a4d2ff5da05d474160f4085784a786bb40c

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

source=arxiv_source observed=2026-08-06T16:56:52.903825Z digest=sha256:199d1c5f9c8a07fd2e73767645dc14fa06f55b4533d97e589cbcb3adf8f3aec7

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

source=arxiv_source observed=2026-08-06T16:56:52.973750Z digest=sha256:888419902881033f7f5e1f5b5de6615665790c565b9fc10539aa8555e61b8311

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=sha256:9b5d37b2214ba9f017d67bf74b1cd24fd8f8cdc618130c60ea4b42b225cabfef

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

source=arxiv_source observed=2026-08-06T16:56:53.313703Z digest=sha256:2a27e28df813e78f42cb66e3466851f971922355a37592afed62d6b6c596225a

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

source=arxiv_source observed=2026-08-06T16:56:53.554074Z digest=sha256:ff904c5065c2f0adcd96c5dcf831733dc94ea3f7eeccc813fcd173c5cfecc5bb

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

source=arxiv_source observed=2026-08-06T16:56:53.627114Z digest=sha256:c2c694e6444826d1fb98326bb2eb843c40c04234145a372285a25fba15913b2e

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

source=arxiv_source observed=2026-08-06T16:56:53.710698Z digest=sha256:897632b481e72896e281179661c3c23e88eddb3ebd8c0ae8cfd560bf6b50fc79

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=sha256:475e145d4231ef8490f2ba6fbf4fcf2b72d8d7d24bdec4ac6d45e80522175f83

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

source=arxiv_source observed=2026-08-06T16:56:53.948374Z digest=sha256:73b5456244919c6278a20f5c9e49c906727ff862ee0e6caf60c1367d7ed13c58

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:e8a73f36aa62031e078a503d59938311530d3063c6bc32c83a64e0076bba39b9

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

source=arxiv_source observed=2026-08-06T16:56:54.388862Z digest=sha256:917262b04f94696e6c610463b43cab80353d747e7336ae030d168213a8800e62

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

source=arxiv_source observed=2026-08-06T16:56:54.461659Z digest=sha256:a312286663a941e77b9d568533dbe57ea2e4161f09cd83bef65243a74abbc6c6

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:54.617092Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T16:56:54.617092Z digest=sha256:abbdf127c64144276437a0c5d78773973ffae857fa469da622c7ab7242867801

Pith citing papers

Observation e3b396db-3486-491b-85d8-0e1e5b2cdc53 · inbound

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

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:57:46.904585Z

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=arxiv_source observed=2026-05-19T20:56:04.778077Z digest=sha256:7568afb26c735edd2c97760faadbb6868222dfad3f3e5bc36865e582c27645c6