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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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=sha256:37acc45ded537f2fe7cd361659fbdcdab049cf6614dc0be2ebda362ef35a85f0

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:efa5b01ef0d59fb40bb6bd11dacde21bc1d06554bae0eda9c8e4b875cabdc46f

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=sha256:0feae9a38e75cdd35e35753676e6ea7afbd64f23d46ff7d6f42068fa47186c8e

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:51.642160Z digest=sha256:b46fb2798290f4abc3c8634e65c5e1bb3357d5ea5050f010821abc29d2d7c690

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=sha256:531a3634872b00ddeb9967ff99091203a78f3e539884beaa43710d7f285a3149

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=sha256:83e2111c3d3dcf9be0e6d6dd04f244d38de0c2b2c7b754528a239553f7741c69

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=sha256:82a8c89661a36d024fd8c590c1ae884f20349b2c64cc1ec7a93563db04382982

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:52.020062Z digest=sha256:5fa195d0d0ece5c3e3191251c801ae8d7cd8620b2de7997a1172af5623984ccd

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:cdbab8cace5f412b9e1f1499a50ec422e8213bc1fa6b7b72b6de3c511eb8fbf4

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:ff76f7ed784f5d06b9d81ca7c9dd3de69afa303f9f64b9db9703279b6095105b

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=sha256:9603c2b460d81c186bdf5601c249c9dc95aeb8796306ee79d987872a244c4ca0

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:dbc2f42a455fe13bd6063aabbd0c96919a11d1f07244176946d8109c25863233

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:52.499551Z digest=sha256:925d08ccf6bb63022b90acccca7bec61fee8956d6e602909da640b1765d64713

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:52.589203Z digest=sha256:c8ddde6b47693d1e88fa4a4fce1b9b9f514c7b4ced27d6e63136e6098f558dc6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:52.687195Z digest=sha256:d9b33e15eb15cad4d123c960ba02715e2c6e79b8e0d79bd4994a5188630b721d

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=sha256:0bef9abcbdbe5dfb5e6f0a15a3e2d3ab3c79d3755bd72b1a5ca15498ff9a0709

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:52.903825Z digest=sha256:bdfef9a063c96e881088a2b8596c62b1b4bbbf1548b2a62e21a37ceca4c136ee

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:52.973750Z digest=sha256:d988fca0ccc0ed7e5275eb9fdaf1a4e1cf0e4cf3e082de0ba0f34e25a807eba3

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=sha256:9650fad5bf87702663daa41f00ae1feb76b1d043a2b87805873ac14735631032

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=sha256:1b5d9263aac27b50cfb93de9fd03ebde1ff52123d1e29e97104e46e52655dbac

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=sha256:180efa82351eaf33c6f20fd001c28263b5c4bde7ea10e0e064e136734faea7f1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:53.313703Z digest=sha256:89898e8be578ce9cad5a91c5e7ab2f8fa9556c75793f67d28a40fddb2cac9faa

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:c52bf3d3ff108eb8e973faf88b3c42aaaae547db479bbdda3b3410da84e7ffcd

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=sha256:697388d49eb3b774353e3a65f13937380cc4f50b2f3a664bf738d1ff5754e0f7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:53.554074Z digest=sha256:acc91c36e34fd3c84508362a5827b0855848bfc983137cb8b9d27268b99a481d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:53.627114Z digest=sha256:cedf1dd6315ed235def4429660c3f3bb5557f04b0696fb0cb15fdbed54f63633

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:53.710698Z digest=sha256:b69ab7d757c93f79052f30be1c64022d84ebbf2f040afaf88dee81114e607bf6

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=sha256:7c302240234f83a940309a02ef34551ea7bb80441f484342b13ec0beee2ed7c3

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=sha256:2148a886153e9908e9dee2a9b8b46cabf08c196df106052b425a1e404900c448

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:53.948374Z digest=sha256:e8c118f1e211ce5a6108a62dd0a28ecbebce001a129854edd616a5f403a539a6

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=sha256:44961eee6bdbc0691848d6bc909da73f56094c5e2bdf29be3c1615368ec548a5

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=sha256:69194e9bb6da35ff6d04d196c88a2bfe69000c65a534e7a831cf87ac536bd22b

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:a7953ff2c5907d8622d9241f8e16415dacfb298eb5a6c3ef86fce83ce4c6b7b0

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=sha256:7a2bbea001f31608b45b9a703b42063ccbc95a1dda80a822595846df3c3be092

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:54.388862Z digest=sha256:8a794e5a0606a4532a1ca9fa2af397161692f67e73025fb25da9db1fa05c4f5d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:56:54.461659Z digest=sha256:3b623a142c70c98f66976ca9c79067b4b83688891ae3dd4855c8ff920c69557e

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=sha256:7af92e29fca25c8e0f3edfcf6bc6129384c523f9eea75cfbac7df9b9172cd184

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:54.617092Z digest=sha256:11b44c6d1c894a740afafe0715792dd3c941dc2c2bc52276e0d4bc7ba312fdd1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-19T20:56:04.778077Z digest=sha256:b14d3f34ee282812442553d02e75775307e3de79e9ecb81a6d7ce26df86b0e17