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Paper Citation Record · LEDGER

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2509.10010.

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

pith.paper-citation-record.v1
2509.10010 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:21:56.397135Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T20:57:55.029026Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:57:58.992329Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved27
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 515cae74-dd29-4174-8def-b356475aab40 · outbound

This paper cites and Agarwal, S., 2020.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs and Agarwal, S., 2020

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.269873Z digest=sha256:adabdb2bc550c655873988db1952d3799435bc1d9cb47076605cd2e61de72655

Observation 6c9379f5-50fb-4bfd-9333-4fbfeb7bdc48 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs PaLM: Scaling Language Modeling with Pathways

Reference 2

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source=pdf_text observed=2026-08-04T18:21:56.275275Z digest=sha256:77dd2587e05dfa358821e3e7f40813ffee6407fc3025de01ccc948c267ea723c

Observation 07345683-3cd6-4f77-944a-d79e64404746 · outbound

This paper cites and Le, Q.V .,.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs and Le, Q.V .,

Reference 3

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source=pdf_text observed=2026-08-04T18:21:56.280742Z digest=sha256:54976da9abd9a39ed89fbf43aa4434fea42b0f38726c0533c9c3d07302aad1d9

Observation 00942e7f-3374-4459-a92c-048d4b3e8721 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs Scaling Instruction-Finetuned Language Models

Reference 4

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source=pdf_text observed=2026-08-04T18:21:56.290779Z digest=sha256:49993ae97b2a180345dfbc549839ac1982f3cb659595f0307e4ec22d68c66bef

Observation 4f9174bb-58b6-4e95-b615-86f4d3d39400 · outbound

This paper cites and Schulman, J., 2022.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs and Schulman, J., 2022

Reference 5

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no resolver link, observed 2026-08-04T18:21:56.296233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.296233Z digest=sha256:aef9de95497f97409a9bd78509e1b56d161a628d1d8c9d9135b82c42aa3fd227

Observation 1335912f-4cbe-4d51-ba8a-0c9a053ce0aa · outbound

This paper cites Anthropic Blog 2023, March 14.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs Anthropic Blog 2023, March 14

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:21:56.300949Z digest=sha256:568bb93a9db1a2d5d9acc7d062e6eda732526746dd5c26ab5f0943c241a2eda5

Observation e0560586-7d05-439c-a311-dfc42e4af7da · outbound

This paper cites Anthropic Blog 2023, July 11.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs Anthropic Blog 2023, July 11

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:21:56.306227Z digest=sha256:6097281d5850a43397910ba8d350e11ad29f2f8c2dee1c3624e0db061f1cbdf4

Observation d9ce0412-470d-4799-8016-08caffc87a6e · outbound

This paper cites Data Augmentation for Intent Classification with Off-the-shelf Large Language Models.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs Data Augmentation for Intent Classification with Off-the-shelf Large Language Models

Reference 8

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source=pdf_text observed=2026-08-04T18:21:56.311760Z digest=sha256:b3e799aa5a7c0a4d11f6778f5a89a590e2491366d9a3477bb3acb85cb5a181b1

Observation 8dced0ca-d2f2-4d07-9745-4420cc81d625 · outbound

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

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 9

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source=pdf_text observed=2026-08-04T18:21:56.316713Z digest=sha256:b42f8439e658f3792525fc875b450561603626b8794ad13856dbbd6dbb4a3757

Observation 5b4c2b1d-d39d-493f-a08b-d99ae3945e67 · outbound

This paper cites Mistral 7B.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs Mistral 7B

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.321549Z digest=sha256:270796afada5472a134c7218aa1429494dfa7e631ebc266f577f73abc72f2ad4

Observation 520e374d-fff0-4ef2-bbe9-e795a1de14a0 · outbound

This paper cites https://github.com/01-ai/Yi (accessed on 19 November 2023).

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs https://github.com/01-ai/Yi (accessed on 19 November 2023)

Reference 11

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source=pdf_text observed=2026-08-04T18:21:56.326431Z digest=sha256:4cccf14116c2f1e2b30c4a1812730c08fa2ee32b7d2e60da8439eca43b171b78

Observation fb1f065e-d574-4dc8-8f55-be42a26c336a · outbound

This paper cites IntentDial: An Intent Graph based Multi-Turn Dialogue System with Reasoning Path Visualization.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs IntentDial: An Intent Graph based Multi-Turn Dialogue System with Reasoning Path Visualization

Reference 12

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source=pdf_text observed=2026-08-04T18:21:56.331306Z digest=sha256:cded0736018af406a3e45c59f648dc788fb167dfbf198bfb58a99ddf11f1f1f8

Observation 4d5718a0-7cfc-43bc-a671-4b01c27200a7 · outbound

This paper cites and Xiong, C.,.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs and Xiong, C.,

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.336266Z digest=sha256:cb4727093225cac4e847281bbd1eb709111f8fdf787a4e3d5d8c80fb7756b429

Observation c9a53952-1bf7-4fbb-a94b-ece9b2e8a141 · outbound

This paper cites and Awadallah, A.H., 2020, October.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs and Awadallah, A.H., 2020, October

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.345806Z digest=sha256:cfbc577b528b248d22d536a6f672623a8dbf60a6dbfeec2e00277f15291d2198

Observation 99217fa6-b2c3-4f8f-a0fe-ea9380e35b6b · outbound

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

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs MultiWOZ 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Baselines

Reference 15

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source=pdf_text observed=2026-08-04T18:21:56.350121Z digest=sha256:b2533621a591bffde7fcf478ce1d3d0ad7b24ac0de2f590e12ef2fb006cdf827

Observation 7f9d02e2-dd86-4e2d-bff6-096e559a39a7 · outbound

This paper cites & Wolf, T., 2023.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs & Wolf, T., 2023

Reference 16

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source=pdf_text observed=2026-08-04T18:21:56.354908Z digest=sha256:1d8e967350c952b01223fe75e70bfad6c44274e8bc019270f0fe3509e20d505f

Observation 33450c60-8d49-47b9-afa0-aea11bac01d5 · outbound

This paper cites an unresolved cited work.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-04T18:21:56.359295Z digest=sha256:3099f9594b5f6b59805afda1dff10a18946a2fe2ef08d009319b8b65616727e3

Observation 3debea34-ec8b-4730-bf4b-ac4d07958e77 · outbound

This paper cites an unresolved cited work.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-04T18:21:56.363996Z digest=sha256:27ed7ab59b8b47f9e7fb6627874090fbe6dd0813bcbfad7d62457a1d58eb332c

Observation ddbca889-f4e3-40b3-9e07-00e6d68caf1a · outbound

This paper cites and Huang, M., 2021.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs and Huang, M., 2021

Reference 19

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source=pdf_text observed=2026-08-04T18:21:56.368984Z digest=sha256:46f802b3398080033aeba0317779466377610370b16c4d443973306f59c625f4

Observation 0e282c25-93f7-47e6-8833-af12accbd9b4 · outbound

This paper cites MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines

Reference 20

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source=pdf_text observed=2026-08-04T18:21:56.373590Z digest=sha256:7d6ca2e5ad276e7851feec64cb74fc4b522d71f536c595b89afcb777e6b086fc

Observation 3e542cf1-dcb0-4ea0-a63c-d02dea8b89ce · outbound

This paper cites MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.378142Z digest=sha256:7084dcbe0d13b733f93f1bfbdd4a421ed3364b6ef7fdd2504331704c515a3533

Observation 7d40c719-e9fc-4224-917e-54564b0edae1 · outbound

This paper cites and Cree, M., 2016, November.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs and Cree, M., 2016, November

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.382971Z digest=sha256:cefdee6b59a8193769407bd5adfda05c705cbe5d395da83aee408f1697694368

Observation 24e1115a-14bb-41bc-9886-d491b30fd8aa · outbound

This paper cites Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking

Reference 23

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source=pdf_text observed=2026-08-04T18:21:56.387391Z digest=sha256:04a0b57263dc304a4198f32eab0ee7ee7b9f30ac567c23375590cc2ba29c4ed7

Observation e4a146a3-4c6b-4ac8-b8d6-6a305226bc3c · outbound

This paper cites (2019).BERT: Pre-training of Deep Bidi- rectional Transformers for Language Understanding.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs (2019).BERT: Pre-training of Deep Bidi- rectional Transformers for Language Understanding

Reference 24

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source=pdf_text observed=2026-08-04T18:21:56.392519Z digest=sha256:bdf9f2b504a3f28c7778b18c54de20a093fc7b0687a0091c7eb2e29d41fc0f2f

Observation ae1e89c7-b6a5-47eb-b9a7-7f2510bff3ad · outbound

This paper cites CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers

Reference 2020

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source=pdf_text observed=2026-08-04T18:21:56.340998Z digest=sha256:31c5a3a529dfdbe96d5338cdb7766500a15855775308a8b5c422e7ca91a364a5

Observation 57f80c62-f3fc-4041-891d-ee1887433741 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs Finetuned Language Models Are Zero-Shot Learners

Reference 2021

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.285556Z digest=sha256:b795b18016fa2b40640be5b3456704f31e6bcf2e1e21255fb8bcea0d6dad9a87

Observation da2d7463-9f77-4e49-bf5c-2c5e8ee7ccd6 · outbound

This paper cites an unresolved cited work.

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs Unresolved cited work

Reference 4186

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.397135Z digest=sha256:e14a755d15400bd77ac78eb493bb0fadfccc298b950aeeb3104318e9437cc43d

Pith citing papers

Observation f152e4fd-352f-4d03-bd35-4193ccfce1f7 · inbound

Training LLMs with Reinforcement Learning for Intent-Aware Personalized Question Answering cites this paper.

Training LLMs with Reinforcement Learning for Intent-Aware Personalized Question Answering Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs

Reference 57

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arxiv_id, observed 2026-05-14T20:57:58.994288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-14T20:57:55.029026Z digest=sha256:184098562142bdca1a83b07a328205fe21eaa4f0072daadf91ba5f8e18aeea58