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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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
  • parse uncertain0
  • 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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no resolver link, observed 2026-08-04T18:21:56.269873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.269873Z digest=sha256:68f7df3e868ddc82b284d86ad7aa7fd51148d2946acb5a446c8ed48d8e1fa390

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:21:56.275275Z digest=sha256:2fa4de9751df9ca4334248ec570f5188bb293f84d7c06f8e48b50c462f7a32e4

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.280742Z digest=sha256:1e4003164d84bad03f7882c4e7afdabb4f05df506eec245eaf49ee6f0d7f4680

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:21:56.290779Z digest=sha256:56c21d20cbdf77bd1512dd2a15f333aa89bdac0f6b2fca1b9ede2d926e3ea133

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:f5f0490b99de62d514d82b546313376ad767a9b488d6e7e8750a5384943575f3

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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no resolver link, observed 2026-08-04T18:21:56.300949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.300949Z digest=sha256:f66f58e27174cf249e1440206ce96f0170bd474a0846364f4ad2d6b1e5ab82b2

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.306227Z digest=sha256:6592ccee9f875f92d73e20afa4fd222be14f5271dbc4ea1ed3a5c0a35894937a

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.311760Z digest=sha256:8c6ba51dc1716c1b0033559f8d9d035fdbf32d6d722d34c52366e165ba672d15

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.316713Z digest=sha256:9113149ac5914880b645d5ed851cc802cda7750ff15a4ef0103eeae0d13f1024

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.321549Z digest=sha256:9a1345b01873cc4aff2799c9d9a0656197ae6c32d20715d07072141f9fc3b4e1

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.326431Z digest=sha256:d4d974e7de15de32ee045f6d595da1b15e51c001573eb62371f0656df500b700

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:d725879582bd0d7644df7807f6f477297c204317905432c224a8c1d21a33a707

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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no resolver link, observed 2026-08-04T18:21:56.336266Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.336266Z digest=sha256:cfb9af9b221716d2dba100e6129767f54ea04cfe2e18f8fb3c9c847fe120dbc9

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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no resolver link, observed 2026-08-04T18:21:56.345806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.345806Z digest=sha256:3025555902dbf6a8a5eb8fdd773c32ef2fa3fc321d02f0ba15553d9d5d121304

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.350121Z digest=sha256:9350588eb74a8f3c8bb72b02a8d7c6bc9f763be6ad87215a718682e49bbbe9a3

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.354908Z digest=sha256:f551cb1f131f158a6b6ef61ae192453d6d3347a47a20ec75a4cd78147cdde2e7

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.359295Z digest=sha256:5313ea91cd7e3c864317769739c5609468e1e56ffe2673a6e4780c0479390b79

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.363996Z digest=sha256:5746ead091c845fef4273947c54ce7c225ee28ffd2e09bf6fcd4d2b25667e766

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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no resolver link, observed 2026-08-04T18:21:56.368984Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.368984Z digest=sha256:0248e8ad28dc511ab21d7cc1c77d907391cb9bdaf9bd450a7dc89f8c6a1b9f2d

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.373590Z digest=sha256:a890a2cae02d5f458de7ab135b851d51d55515707128b295f2c328b966b08dbd

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.378142Z digest=sha256:b7b63f4d8e2dc05af9bfe6ebce8db72834eb338ea2afd243676b4bb52aa908c1

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:cb892d83bee1111612d8c9b69c6aaa8a281aae2fc60f92f8384037e5bb494b91

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=sha256:11552d3a8fbc4c7247378b26130672d8aa0278e6db438f78018c1168dfdf3345

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:e8cff9bbfdc9897f5fc67f0a7b83912b4b5edf0badaa08d84e9eecb475e4ee18

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:eb70219c8dd7beb5f280fcd82f476cbd4ce9898a79407f7de76e1019606b87c1

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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no resolver link, observed 2026-08-04T18:21:56.285556Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:56.285556Z digest=sha256:02033fe130eca9daa31f09a59894e51fc4487e2a92be16bfd841d1cabd20f1a7

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=sha256:28d70ff8285819b3d7536e0af46ed9215deb1af9c99db02bd81ba9d2070921af

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T20:57:55.029026Z digest=sha256:2c53c0030f1def17bcd7c4c49bc945672637d1b353a19035501036f5a6f12906