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Paper Citation Record · LEDGER

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy

As of 14 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.14299.

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

pith.paper-citation-record.v1
2505.14299 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:12.241302Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4d5666b-dfb9-48f6-91ce-14031b50b3ac · outbound

This paper cites GPT-4 Technical Report.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy GPT-4 Technical Report

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:08.355999Z digest=sha256:994c25f50d36884552d30a4110db8c67683c7914840935886bfada0cff13d054

Observation fcb7291a-10bc-4c47-9e15-0badf958a621 · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-07T15:41:14.428845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:41:08.446224Z digest=sha256:c941ad35556ea639ca9885598fe38e7372112c2df5bc8708e15bf692ddf03ecd

Observation 2b8e12aa-1d1b-45c5-a0f6-237fd9966fd0 · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 3

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verified exact
doi, observed 2026-08-07T15:41:12.804463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:41:08.568129Z digest=sha256:a9904644a9b7379f2cc620a35c608e8f82583ce011574094fb97770bef1ad476

Observation 9184095f-9d95-4fa1-84c8-87bda397ed05 · outbound

This paper cites InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems

Reference 4

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T15:41:08.690371Z digest=sha256:039d3b61da3eeaf88ab8e8d49f03e9c4d1a32e2362dd578f233ba94549a3fd74

Observation 83ad4521-6e16-476e-b8ca-1718ce8213ae · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 5

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:08.770728Z digest=sha256:76008868377654b3e3362cd1babfbbe3249e138fa7dff846a0418593d4201731

Observation 2aff8415-dbd6-465a-afde-159605217216 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:08.863164Z digest=sha256:448f4438d22b0c34aa8f75c2049db17a1145efbcbbfe316dcc0279a0b8569a03

Observation 6a490680-d938-4d17-8bea-71631ddfb1bd · outbound

This paper cites Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:08.943627Z digest=sha256:ef88739c24eeecbc60cfb8d83b6ddd47b21cdcfc7329f1a6e8daf6d30c5f59f3

Observation 5d765851-9de0-4a39-9853-c32b50ec896a · outbound

This paper cites Towards LLM-driven Dialogue State Tracking.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Towards LLM-driven Dialogue State Tracking

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.035592Z digest=sha256:97a1f27863af9dc653f0f47aa192983c8bba8ee0266cb174974085857787d8cb

Observation 533c1db8-0404-41d5-8bbf-c9e4ded8795b · outbound

This paper cites Improving Generalization in Intent Detection: GRPO with Reward-Based Curriculum Sampling.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Improving Generalization in Intent Detection: GRPO with Reward-Based Curriculum Sampling

Reference 9

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T15:41:09.118396Z digest=sha256:3c2abb3b3ef021a24265e66698e0fd64c95297e8ee9883083f1112691b195033

Observation ffbde2cb-ba38-4810-a454-be9e9a3d1d8f · outbound

This paper cites Dard: A multi-agent approach for task-oriented dialog systems.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Dard: A multi-agent approach for task-oriented dialog systems

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T15:41:14.253055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:41:09.214311Z digest=sha256:1536cc349bd0e0c934a6b836cfe1422c0d17c6772ce5af9e6d28e918f59d6629

Observation a2a7799e-fb24-4289-bcbd-6ed27adf7153 · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.310044Z digest=sha256:100cb42a7f58374db2c7ee8be6cc48435d54144333dbb00bc9035176d0a56073

Observation 7f3fcf92-9371-45a6-bc0e-b1b459990e18 · outbound

This paper cites ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.367424Z digest=sha256:fbef1051bd6f73828ef65777f148d76ea4502f9502a6e5330496f7e01840bf2c

Observation 15e37af1-f24b-4da5-88d6-3202cdd49a84 · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 13

Resolution
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raw_fallback, observed 2026-08-07T15:41:14.091165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:41:09.461425Z digest=sha256:235601d04d6c0bd7df1a51aa087553095880587247738449a56e3e5bcf9c06b2

Observation 7bb7ca0c-1b84-41dc-9789-1fa52f0c8f6e · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.539220Z digest=sha256:55e4f4f0398920470427edae26d615eaf7c3266d37925bfab7d5b109114bfd3c

Observation 1e256f43-e21a-457a-9ea5-d23ba4f45bbf · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 15

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verified exact
doi, observed 2026-08-07T15:41:12.490712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:41:09.636966Z digest=sha256:0e871fdea00e67fcc24c4120079e6a8064d60e715d33757017f501b1f710df85

Observation 382176b6-50e0-4e22-ae9e-5722b67fb551 · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 16

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no resolver link, observed 2026-08-07T15:41:09.708219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.708219Z digest=sha256:1d4a3d5d7e6e63ee7896801582b2bf9af5c9114f47f0cc1da5aa9fc1cd930094

Observation ededbfdf-6395-40f3-961a-96d5522aebab · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy AgentBench: Evaluating LLMs as Agents

Reference 17

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source=arxiv_source observed=2026-08-07T15:41:09.798220Z digest=sha256:c956116a335594532daac0aa9e7e50e4a1984cc51e593f8344d044f4c69e8bc1

Observation 207b726d-d2a5-4a22-bf41-690f8be78e59 · outbound

This paper cites Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive

Reference 18

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no resolver link, observed 2026-08-07T15:41:09.864390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.864390Z digest=sha256:81205775af47f5e7f791c65fc7a31fd57875741ff091cbfde45fc11ee9bcb875

Observation daf178fa-d8de-41bd-9c81-88cb24c5349b · outbound

This paper cites GODEL: Large-Scale Pre-Training for Goal-Directed Dialog.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy GODEL: Large-Scale Pre-Training for Goal-Directed Dialog

Reference 19

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T15:41:09.940016Z digest=sha256:f517914a187440e382cc5b68643fbd1182ceeb7960ba1d52fc3f47275c7da317

Observation 05ce46ec-a3b7-42c3-98de-7e4499dbc864 · outbound

This paper cites End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions

Reference 20

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verified exact
local_arxiv, observed 2026-08-07T15:41:13.185757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:41:10.033521Z digest=sha256:7aac2bd90f17a3f2d9cd8055f7f04bccd02a98f47209073d71e52a0556ab73d0

Observation 3d53f893-9454-4fb1-b4b6-6d6a134a3d9b · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.107678Z digest=sha256:775dd52ca6e390b3d78757be194c4bbc2888da3af39358819cc2a970e157e81e

Observation 3f392365-3786-4925-8af2-55e3e4c23316 · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.204137Z digest=sha256:8237cbd397471b4a4cbdd2ed6e56328e774f5fc3c37d8f80bcd7e034de4c7e01

Observation 9245fdec-3ad3-4190-9056-aadb73b09e4b · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-07T15:41:10.295012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.295012Z digest=sha256:61629dd47c9b82b3320bad54d1e816daa631969bc4ee164449547b551bdbe0dc

Observation 43c4c7bc-5f56-4f45-9b58-ba6cd4b7a3af · outbound

This paper cites Proximal Policy Optimization Algorithms.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Proximal Policy Optimization Algorithms

Reference 24

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no resolver link, observed 2026-08-07T15:41:10.370312Z

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source=arxiv_source observed=2026-08-07T15:41:10.370312Z digest=sha256:3bf1f38c8f8e841e9913998b64c1d3e88f9d2742fcd067619efa13bde839a7ce

Observation 3585a6b1-3069-459f-be26-3c19271bf583 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 25

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no resolver link, observed 2026-08-07T15:41:10.460387Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.460387Z digest=sha256:fa9f0c65565e712997fc624db14821b45f4834dcb4f24d352c575f8b5d2aacaa

Observation 62039000-4822-435f-96de-f79c952d4ba9 · outbound

This paper cites Small LLMs Are Weak Tool Learners: A Multi-LLM Agent.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 26

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no resolver link, observed 2026-08-07T15:41:10.538117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.538117Z digest=sha256:285f0e7e43510589c77fd685f1c1c991da2b48723997481836fd2db354285c61

Observation 99f25080-6b88-4e0d-be63-9e27fa93d3d2 · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 27

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raw_fallback, observed 2026-08-07T15:41:13.951907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:41:10.631954Z digest=sha256:0bef9498f29b157bbc3f243ac75c0b240f66f819e19dea4a1525ebf5203024aa

Observation dd26d2b8-5d0a-4f3a-a394-27425b80ae7e · outbound

This paper cites MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 28

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no resolver link, observed 2026-08-07T15:41:10.740283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.740283Z digest=sha256:b89b3331d8fe9b824404459cf7c6e5f6fbb9c35457e4fe3be2b22b8daffabdca

Observation ee7efdbf-99e3-4b93-a162-ba7d81473d98 · outbound

This paper cites Zephyr: Direct Distillation of LM Alignment.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Zephyr: Direct Distillation of LM Alignment

Reference 29

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.745035Z digest=sha256:df0aaf14cb739c8f30d444419199afeb65661f107edab087b1615e70478d3c66

Observation 35313d04-0742-432d-a711-1b42a4ae0b89 · outbound

This paper cites Making Large Language Models Better Reasoners with Alignment.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Making Large Language Models Better Reasoners with Alignment

Reference 30

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no resolver link, observed 2026-08-07T15:41:10.817384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.817384Z digest=sha256:cb89e41d6b33ea38da06c09f0cb9f6e65252e513b681cb6f27696282a8d83297

Observation 67ef9e2f-a2ce-48dc-8e35-fd8206531ef2 · outbound

This paper cites DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems

Reference 31

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no resolver link, observed 2026-08-07T15:41:10.966510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.966510Z digest=sha256:f4bd0acf7f23d82fe285591eb05941bb83464a9d2cb0b2ea3c4f5584e5737013

Observation f72fff83-f377-4b0e-ac45-7ba653610e57 · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-07T15:41:11.091757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:11.091757Z digest=sha256:729c00ce570c9f62f62e78c90eb96bcdc38dc04550e1144b241b7b2542616601

Observation e7852233-9455-4130-be34-68a2134bbb4c · outbound

This paper cites Qwen2.5 Technical Report.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Qwen2.5 Technical Report

Reference 33

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no resolver link, observed 2026-08-07T15:41:11.184473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:11.184473Z digest=sha256:1a35dac70799a545c51d5ecc73b7e6e3392538c1c9bbb3ab52f7fc2762cc119b

Observation 306b76e8-6366-4ef7-923a-e47fe1e8d0a7 · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 34

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no resolver link, observed 2026-08-07T15:41:11.296190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:11.296190Z digest=sha256:80585cbe7977cd4683252058c762be7978db73182bfe31f8501a45227f5fe63f

Observation 2165f288-339f-477a-92eb-56202444d6ec · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 35

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unresolved
raw_fallback, observed 2026-08-07T15:41:13.783482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:41:11.420713Z digest=sha256:b094e0c112a7d02555343e8bd5164f0a54a4468fbf1eb7b39836bde9af256b64

Observation 686d9284-b230-4110-9f9a-2e26ef1007fa · outbound

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

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T15:41:11.567753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:11.567753Z digest=sha256:5a9df280423157af86c21b68b2bc740759547e546ed6cb6bd1cf053c76096c6d

Observation 60bfc8a7-102d-486f-80a9-6b06bc89df71 · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T15:41:11.706183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:11.706183Z digest=sha256:93902b3d0d70eb25cb245c1d2f812661696d073c340b564a942e67fdb31afd94

Observation 8785a8d6-a5ba-4c1a-9b39-e91a09331811 · outbound

This paper cites an unresolved cited work.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:41:13.604873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:41:11.816946Z digest=sha256:dd841a9a7016dbfa2dc3113fbecb0a73dbe802e6e34655312395f021f411000a

Observation 8adf801a-d4ca-48b9-b78b-968ba133e92e · outbound

This paper cites SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:41:11.953688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:11.953688Z digest=sha256:e33f4b60e84005006bdf402f1d71f1e4a5cf59e49fb189aa76f91b5bdf8e5a00

Observation d3f652ca-3e0a-4d8d-a608-173851d5d619 · outbound

This paper cites online" 'onlinestring :=.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy online" 'onlinestring :=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:41:12.087665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:12.087665Z digest=sha256:23dc77c84078610e4fa917bd28bce10fe450f83870a7d4df48f14c868c3fdb42

Observation 1f6cbc85-c41e-4e32-aecd-6e016d892d81 · outbound

This paper cites write newline.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy write newline

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:41:12.241302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:12.241302Z digest=sha256:f82f0a1a1c4d92f0cf1d97a36e3c27b22da87b5bb98fc85ba269c9f83c3d0d89

Pith citing papers

No inbound Pith citation observations are available.