Paper Citation Record · LEDGER

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2506.08633.

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

pith.paper-citation-record.v1
2506.08633 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:10:45.928589Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:10:45.795060Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T10:40:51.433210Z

Reference resolution

35 of 35 outbound references displayed

verified exact3
verified fuzzy24
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0bc859d3-d0d3-4056-9e5b-7351eb843369 · outbound

This paper cites book-restaurant.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs book-restaurant

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.381548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 97c0d8d2-6fbc-4f53-ae99-79fe19afd233 · outbound

This paper cites Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:45.795060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b78d5723-1558-4052-a949-71c1906a62f0 · outbound

This paper cites an unresolved cited work.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:10:46.370266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c0693c05-0409-44d1-aa1f-b067c49c481a · outbound

This paper cites dialogue history.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs dialogue history

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.358233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7424e8ab-47fa-49da-b3e8-a428a320ebbc · outbound

This paper cites an unresolved cited work.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:10:46.345460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7248e32d-a210-48ad-b836-be1562a452f8 · outbound

This paper cites First, we observe that fine-tuning on the original Spoken- WoZ transcripts yields worse results than when using Whis- per transcripts, which are of higher quality.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs First, we observe that fine-tuning on the original Spoken- WoZ transcripts yields worse results than when using Whis- per transcripts, which are of higher quality

Reference 6

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T05:10:46.333365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fd2957ef-7c02-49ea-9b9d-b142673df282 · outbound

This paper cites an unresolved cited work.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:10:46.321116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 11b19a0e-bd26-44a3-ac9f-f41d3b21c29c · outbound

This paper cites SEP-210943216 ”ELOQUENCE”, Euro- pean Defence Fund project ARCHER, Czech Ministry of In- terior project No.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs SEP-210943216 ”ELOQUENCE”, Euro- pean Defence Fund project ARCHER, Czech Ministry of In- terior project No

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.309909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 57c8faa5-ccc4-4000-9fea-146ab1934586 · outbound

This paper cites DSTC-11: Speech Aware Task-Oriented Dialog Modeling Track,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs DSTC-11: Speech Aware Task-Oriented Dialog Modeling Track,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.298089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9f2ce2c7-bb58-453b-bd46-98b3c121bab2 · outbound

This paper cites SpokenWOZ: a large-scale speech-text benchmark for spoken task-oriented dialogue agents,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs SpokenWOZ: a large-scale speech-text benchmark for spoken task-oriented dialogue agents,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.286343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 594d67a5-6a57-4fc9-81b8-0605624c0f4f · outbound

This paper cites Speech-Aware Multi-Domain Dialogue State Generation with ASR Error Correction Modules,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Speech-Aware Multi-Domain Dialogue State Generation with ASR Error Correction Modules,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.274074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation db5ee594-2828-4bc3-bc50-2763da4329ac · outbound

This paper cites Retrieval Augmented End-to-End Spoken Dialog Models,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Retrieval Augmented End-to-End Spoken Dialog Models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.261504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a9e50a96-ee82-4c5b-87fb-608cfff865e6 · outbound

This paper cites MAESTRO: Matched Speech Text Represen- tations through Modality Matching,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs MAESTRO: Matched Speech Text Represen- tations through Modality Matching,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.249110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 02d94eda-4e32-43b0-8c7e-b5a650031990 · outbound

This paper cites Connecting Speech Encoder and Large Language Model for ASR,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Connecting Speech Encoder and Large Language Model for ASR,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.235715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 106ac024-06cc-4c38-9ce2-e4a47fdef12d · outbound

This paper cites Aligning Pre-trained Models for Spoken Language Translation.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Aligning Pre-trained Models for Spoken Language Translation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:10:46.018666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2183f8c1-959b-487e-bbd8-7550c66e9eb2 · outbound

This paper cites TTS4pretrain 2.0: Advancing the use of Text and Speech in ASR Pretraining with Consistency and Contrastive Losses,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs TTS4pretrain 2.0: Advancing the use of Text and Speech in ASR Pretraining with Consistency and Contrastive Losses,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.223983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7f86a36e-82ee-4339-908e-056ae8bc8734 · outbound

This paper cites Adapting Large Language Model with Speech for Fully Formatted End-to-End Speech Recognition,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Adapting Large Language Model with Speech for Fully Formatted End-to-End Speech Recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.212538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4ce92274-ff2c-48f5-a4de-2635f5937949 · outbound

This paper cites SLM: Bridge the Thin Gap Between Speech and Text Foundation Models,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs SLM: Bridge the Thin Gap Between Speech and Text Foundation Models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.201101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 744a89fa-2762-40de-ba07-f011007decd1 · outbound

This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs SALMONN: Towards Generic Hearing Abilities for Large Language Models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.189654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 794890c2-8692-446b-858f-86e5caa506e6 · outbound

This paper cites Integrating Speech Self-Supervised Learning Models and Large Language Models for ASR,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Integrating Speech Self-Supervised Learning Models and Large Language Models for ASR,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.178283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a06b4a5b-7d7c-42bd-b31c-0dc901942f2e · outbound

This paper cites An Embarrassingly Simple Approach for LLM with Strong ASR Capacity.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:45.872164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d3e7eea-f140-4af3-b7d9-738f9dd56376 · outbound

This paper cites Performance evaluation of SLAM-ASR: The Good, the Bad, the Ugly, and the Way Forward.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Performance evaluation of SLAM-ASR: The Good, the Bad, the Ugly, and the Way Forward

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:10:45.989108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 167c317c-b609-426e-b759-d6b9bd237667 · outbound

This paper cites WavLM: Large-Scale Self-Supervised Pre- Training for Full Stack Speech Processing,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs WavLM: Large-Scale Self-Supervised Pre- Training for Full Stack Speech Processing,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.166013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation aee85f69-266e-4ab2-bfca-807d6a132a90 · outbound

This paper cites OLMo: Accelerating the Science of Lan- guage Models,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs OLMo: Accelerating the Science of Lan- guage Models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.153150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c6a8ba5c-de6d-49fb-8afd-5aefb2b0fbea · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs LoRA: Low-Rank Adaptation of Large Language Models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.140994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e0a95d62-2f18-45ef-8c13-3e844268a67e · outbound

This paper cites MultiWOZ - A Large-Scale Multi- Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Mod- elling,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs MultiWOZ - A Large-Scale Multi- Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Mod- elling,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.128757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ec093bc1-5ef2-4afb-aff9-48669d1889ea · outbound

This paper cites MultiWOZ 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Base- lines,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs MultiWOZ 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Base- lines,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.115786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 48a3965f-0e9c-4174-b392-68ed38465718 · outbound

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

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Robust Speech Recognition via Large-Scale Weak Supervision,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.103527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6ea693d4-29d6-4d99-941f-728a5e2ff63b · outbound

This paper cites Shades of BLEU, Flavours of Suc- cess: The Case of MultiWOZ,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Shades of BLEU, Flavours of Suc- cess: The Case of MultiWOZ,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.090123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f0f42c35-7b82-44ea-ae86-89ee507bb942 · outbound

This paper cites SWITCHBOARD: telephone speech corpus for research and development,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs SWITCHBOARD: telephone speech corpus for research and development,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.077969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 129b36a1-1a7c-42d1-9382-2374814960aa · outbound

This paper cites Librispeech: An ASR corpus based on pub- lic domain audio books,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Librispeech: An ASR corpus based on pub- lic domain audio books,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.067020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 962d2862-265b-4e32-b93e-78c0b61e5ddb · outbound

This paper cites How2: A Large-scale Dataset For Multimodal Language Understanding,.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs How2: A Large-scale Dataset For Multimodal Language Understanding,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:46.054680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cdeb2438-a12b-46b3-8de8-eee539488d8d · outbound

This paper cites an unresolved cited work.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:10:46.043588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1dcfedc5-6530-4a5d-b470-67014a5cac15 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Gemma 2: Improving Open Language Models at a Practical Size

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:45.924099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc7f19b4-16ec-4f14-9c7a-f3d89295cee6 · outbound

This paper cites Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking.

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:10:45.962064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 97c0d8d2-6fbc-4f53-ae99-79fe19afd233 · inbound