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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 8 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 2026-08-08T06:32:00.761636+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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no resolver link, observed 2026-08-07T15:41:08.355999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:08.355999Z digest=sha256:f80fbafb44f939ae027ac5a02bb52a23082e9488c35d664b2447f446b97898af

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

source=arxiv_source observed=2026-08-07T15:41:08.446224Z digest=sha256:92edd9e430380084566ba9000db19d43d81c59e9c45c8ae7e9dd8126a73d667f

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

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

source=arxiv_source observed=2026-08-07T15:41:08.568129Z digest=sha256:0facbcbdc437ae3dde8dfb9095505b34fca01ab6cea4136c621ff245494e42f5

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:08.690371Z digest=sha256:248fb75072ccd9d0a095614d4f0f98679955330500f9353122c8378564f8dcfd

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:08.770728Z digest=sha256:cfb9a4930fef71fb9649891a8965dd82e2824870443bfec109ff2d11e24817eb

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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unresolved
no resolver link, observed 2026-08-07T15:41:08.863164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:08.863164Z digest=sha256:bde4d3ed1ab9ffab2b38a03f4c1ce738d2b1c909c74cf64f517203633fe2c281

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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no resolver link, observed 2026-08-07T15:41:08.943627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:08.943627Z digest=sha256:e3d35369e9acd90dcc46a69955d1ab9a29de4ccbe81cf59a9a04ad7b884dfe8d

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

Resolution
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no resolver link, observed 2026-08-07T15:41:09.035592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.035592Z digest=sha256:74c61539a195d368691a9230ae1ee6675b34c3f07d1733db143c1569c11ef679

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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no resolver link, observed 2026-08-07T15:41:09.118396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.118396Z digest=sha256:9838dd607f6c3b91b85f1523fa2c2c108241b72a57d0a5431071aaedf951ba25

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

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

source=arxiv_source observed=2026-08-07T15:41:09.214311Z digest=sha256:216e77a10ef481e087fd09353ad00ce6751f71528b6797d48de8a15cffd4dc59

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

Resolution
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no resolver link, observed 2026-08-07T15:41:09.310044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.310044Z digest=sha256:d31ec1be7e782c969d82c49c35c939a1bcb3d414462b3d2dbb11203ad5a1e7e3

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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no resolver link, observed 2026-08-07T15:41:09.367424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.367424Z digest=sha256:cecfc13f8e738f0b0a3e21f9b82ec0b638b2d38551406b3e4ae5f4f263b25733

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

source=arxiv_source observed=2026-08-07T15:41:09.461425Z digest=sha256:bf4785cb57967f0d4d0896a90b984be409d25ab9d4458822c4a1774a30ebf131

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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no resolver link, observed 2026-08-07T15:41:09.539220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.539220Z digest=sha256:d0e2789361447c3b525b90aeeeb8333edd96c8cf57231e43ef7317c9190b8c04

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

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

source=arxiv_source observed=2026-08-07T15:41:09.636966Z digest=sha256:82f077844644d4a7a195648a26ca7f71a3a9f8240e3178f4532f9596a4c2221c

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=sha256:4740f31be380a930ebe687d252cbe289b5471618cde91acddeb00ca784fd5566

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.798220Z digest=sha256:6d4e1498f5ac0a7238b512226aae7f362ad62c61a4a37479a1c682f214e7072e

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=sha256:5a51dca67a149b4705f5790b9c0b67de5dfa75198e28e7d931b31e9cfd82629b

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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no resolver link, observed 2026-08-07T15:41:09.940016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:09.940016Z digest=sha256:e5736891d800385e0d687df9a73254b17b0d2c6aaea5d28fd1178b413722a2c4

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

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

source=arxiv_source observed=2026-08-07T15:41:10.033521Z digest=sha256:d410de476bb220293c60f57730d4fbd457e9970140e6d38ea8e15f62eae46450

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=sha256:46fdb2cbde36e12504d283262a58ed7e0dae6911aacf5822d0a8fe64de4dc2c5

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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no resolver link, observed 2026-08-07T15:41:10.204137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.204137Z digest=sha256:02fe8656413d0813b8ffc9d160d962cbfcf1e81d5f72b8526c5622357e3aaac0

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:b065ac86bc937eae90f4adddb6d850b2510f9310f8b07767f0674b84ed3bfa3a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.370312Z digest=sha256:f3435df070a068d23deb612193ddc7259c84959e60af5ecc82fe568796e46b6c

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=sha256:1df9758e3d60cf40efb87afa668411edf7d05bc197924a82a991a135136d1987

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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unresolved
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=sha256:15fb125323a942b29d878e2bc6501a8166bedd9ac55333f60665f14916aef9aa

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

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

source=arxiv_source observed=2026-08-07T15:41:10.631954Z digest=sha256:5d1875a2ed165ab182e39efe15e16b8b699adbe23537cd29ca0d00b47e30145e

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=sha256:600c5930058a8183ce5d2dc48e6a7627618f1b311b21feffa0bbe3a619cac74a

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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no resolver link, observed 2026-08-07T15:41:10.745035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.745035Z digest=sha256:4920e56b22e0a396436ee25997475c12b9df355427e7b2e2280ca692ce039b97

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

Resolution
unresolved
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:bf046c205a04b38f3733b82e4e9757b6a10b35e1caf92874ea90f65076903d77

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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unresolved
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=sha256:1217bc98defc5c5466d16b7b1e07bc5271cbbd21e8c036bdb1cfc29eb896429a

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=sha256:3adccee6e859abf7fb5f065ff44981f0ead4cb5a4ca7962ffbad13a82a79e933

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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unresolved
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=sha256:7b0edb5af9d371a7e93bc24402c629dc96deef60574d04abb242874ed50a27e2

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=sha256:2cd711a502ee2edaad893da275b07bd03310b2f9497f72c625ee9ebb2d8d99b2

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

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

source=arxiv_source observed=2026-08-07T15:41:11.420713Z digest=sha256:b39e791cc81e91fdedf06700e5afcf96f596097ac071a9c8bcf3314eb67940c3

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:f6897cc244887f8fd160c7a3c6f423a434f36fc14dfba3f4689d4af47d89c3df

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:ca555d7d88c4d151dd4dd4d2420cd8e0c6a7f41b04c1edf6a4cb9f8ebf872369

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

source=arxiv_source observed=2026-08-07T15:41:11.816946Z digest=sha256:ffb6a256165bf42646e1e9aa035032f8641fcbede89124c6c1523903654af4b7

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:b301038964f0ea7fa956ddefb537649d36fc1ebba6597fd92366af9dd8aaedad

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:c1fd9764af58a2cce70d8e5493902bcd42d8335c7810280d29174c9b6a8f88eb

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=sha256:726975ad4a93728a874b7186c0ea3574d208ec02169db3fe42621e1a35bc17b8

Pith citing papers

No inbound Pith citation observations are available.