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Paper Citation Record · LEDGER

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification

As of 13 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2411.14252.

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

pith.paper-citation-record.v1
2411.14252 v3

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:26:40.000474Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:36:33.741135Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:36:36.061238Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact10
  • verified fuzzy5
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 95ce0dd3-4fc5-4d50-8c3c-e8b6928849b1 · outbound

This paper cites Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T15:26:40.516187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.665666Z digest=sha256:29ec827894fbb908255f1fdda93495142f657d03b8564467e75d6515eb37adef

Observation 70a0a92e-3e06-44d9-a9b8-4e5c239d904e · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:41.054512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.672980Z digest=sha256:4fb4494958d5467126ac6ece82aca6cde90857d0f3794a15962cb079f3d8d7cf

Observation 388abfe3-4122-428f-adbd-3121653bb2aa · outbound

This paper cites The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.679589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.679589Z digest=sha256:93cdc24e5b3ff83bed234d7cbd2c237ba548bd80623a74a816a9aeda5a0ab440

Observation 73fbe6aa-d777-40a1-bcb7-e6b89e46c5ea · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:41.039222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.684765Z digest=sha256:15fd47b28a086e16da54753d61608af597f0dee656306c8d5c713bc746ded4cf

Observation a6e8a54c-7db4-41d5-b12e-aaf9cdb5f1fb · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:41.013982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.693773Z digest=sha256:311890eb3a1498e00b709ed9ac73369087a9d18ac624215fd04b7f9e6b37fd2c

Observation 7526c51a-e55b-44c8-83f3-9ed4a53aa25e · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.698759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.698759Z digest=sha256:fa07805a16eb9ecf63fed85779ba765b9ea3926e27b0fa58ff881a449d725b2f

Observation f91f914c-4cd5-4b95-9cab-1ee2fb47410b · outbound

This paper cites The Llama 3 Herd of Models.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification The Llama 3 Herd of Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.706969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.706969Z digest=sha256:e2bd9982d6f0d9fcafaf2ada64987f0d45a2705ccb4d31559698c27970de6343

Observation 77e912be-5896-4a33-94ce-08a16f230318 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.999539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.713524Z digest=sha256:edaa0f507bdcdea8b0f31eeb032ccc2b642131c674e368c86753ba0cf9cdf116

Observation f1305594-e853-40b6-9da2-e87b44179191 · outbound

This paper cites Dialogue Response Ranking Training with Large-Scale Human Feedback Data.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Dialogue Response Ranking Training with Large-Scale Human Feedback Data

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.718920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.718920Z digest=sha256:c115e01b61bf39ef2c55d94c65201fa841d6001800b76613be4d6f0b36117ec4

Observation 66eafa08-448f-4a7b-96f6-f06670edd298 · outbound

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

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification IntentDial: An Intent Graph based Multi-Turn Dialogue System with Reasoning Path Visualization

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:26:40.435880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.724330Z digest=sha256:9f91d2a9ce55f0bbe51c0d2585c4dee4802f100090a033dafe3e87793e96dcfa

Observation 40302a5a-8583-4e65-9bc6-d7a1bbabea84 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.987632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.729609Z digest=sha256:94849af454c52b3bf25260497bce94fb000bb2be89c40af99ca04577ed40a4be

Observation e3211257-3280-49d8-b5b9-63a7f27e4bea · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.973706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.733579Z digest=sha256:8621873f6e3515fae1faf27741b846576747efd04c38d066b64b4f2bcc096e16

Observation 82cdb982-6c88-43af-87d4-5cd95ed0f5dd · outbound

This paper cites An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.737725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.737725Z digest=sha256:7c583b0d309bbdaa091bbcd8becbb3eb6cc4f7684807938607db892f8ee15465

Observation 6269322e-d94e-4ea3-8a72-9bab25535e55 · outbound

This paper cites A Diversity-Promoting Objective Function for Neural Conversation Models.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification A Diversity-Promoting Objective Function for Neural Conversation Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.742470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.742470Z digest=sha256:1a01141707bd827891112f9acf3ddaf233b38e3d6947d3fbe7cc1c7818acb931

Observation 0b43c5dc-480d-41f3-b6a3-c5e197879e12 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.960188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.746761Z digest=sha256:8a9c84a5a1921b885230d484f1a8d497341d61f7c7443a74dc484f588e334ef3

Observation d84a1f01-6477-4915-a55d-bac41c2316e8 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.947158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.761521Z digest=sha256:d5c4b41a2651b588a384670ee4dbf64457baa36ea6d989d8caf3708f9f7e1da6

Observation e1ac37da-beb6-48fa-83ca-1df7eb26e81f · outbound

This paper cites Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:26:40.372491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.769183Z digest=sha256:f578af221c2797a6ff9e74efe84d66cc2ad92d6033ac30d1c1835523e9526b4f

Observation 8165519e-4c56-47d9-b280-9d1d866fd79a · outbound

This paper cites Responsible Multilingual Large Language Models: A Survey of Development, Applications, and Societal Impact.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Responsible Multilingual Large Language Models: A Survey of Development, Applications, and Societal Impact

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:26:40.353369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.773803Z digest=sha256:92717512dd045cae42745cbf518066e23726a1471c65e9f29f75f4adadf7b4b9

Observation c016dff3-7d50-4855-bd01-42445d2e1a7a · outbound

This paper cites Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.780292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.780292Z digest=sha256:beb056a6fba08eb8e782da2c66e2b03618cd105c46d4aba7cd40f72dbcf1d05a

Observation 391400a6-afc9-419f-ab9e-fe19927bf302 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.934824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.785628Z digest=sha256:e3fdbda567a70a1fbd474081ffed1ef7288d22d3f63940bb55a5d0c23cb44115

Observation f580843e-80f5-4786-a3f8-52c86f7b8c29 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.922162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.791013Z digest=sha256:26ffa0a1ccf8e2420d5cc5b80bd106d5fb722e2e68341102bf748be93c254ac9

Observation 2d147345-eb9a-4e7e-a30e-f6ad6c8c6d8b · outbound

This paper cites Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:26:40.317687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.796171Z digest=sha256:873bcb16e2e1fb3b13c1c5418c2c4da426341c379998fbfe40a409c78b94b692

Observation 1f74dc4c-3626-4bee-80f9-819557c5d5c7 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.908705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.802271Z digest=sha256:58ee8bb4980cf4c4a73a49c891aa2a5775ef842b9706bb233340f5978bfc1e01

Observation cc712453-88cf-4e98-8ec9-5abe4f81fc19 · outbound

This paper cites MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:26:40.297066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.811986Z digest=sha256:3dbf6ee870c99fb9192ea7ee5bbd05979b0b718ae383b4630d659e69d0d17004

Observation 6a434ed1-6a47-4ed9-aa6c-7e82b22ada26 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.893634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.817162Z digest=sha256:3a8986c1559630ea058fc8ee2b3c2950f2d8c730beda315e99907dd6c707c5bc

Observation 29805f13-a5bb-48e0-8803-d0aab7b60aae · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.881377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.822041Z digest=sha256:e56de5c7f56ee7a8a62cb46b8d0e6b15d12786c28094eab7ad3f5ce3e97631f0

Observation eea3ac57-645a-435d-834a-6cd70a93b186 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.869401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.826680Z digest=sha256:5f4487ac9409fc9531cedc1d6c7ff79e9662c362984c28fc71eb2b16de691bdd

Observation a3b49f51-832f-4fdb-98e3-a937022b0aa1 · outbound

This paper cites SeaLLMs -- Large Language Models for Southeast Asia.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification SeaLLMs -- Large Language Models for Southeast Asia

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.831086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.831086Z digest=sha256:e915d35f4a306de4ea6e36063946f954b7389e759835589f3adc97aa5627ae0b

Observation 6d4b1f9d-a547-4592-a876-d68377e18d59 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.857986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.835615Z digest=sha256:9272e5dbafada2d8ba04d3f3270ebd52f7180ae535f9e09e49defdb3e4c5d67d

Observation 70366c91-514a-4c13-adde-5157aaa849b8 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.844154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.843096Z digest=sha256:b932fc310de0f4f407615d4c872659e77f5cba2c98f33f726dd5adc2d99f06ed

Observation 23e97782-20e0-4f74-bb9e-ab27b0bfa8d7 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.847842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.847842Z digest=sha256:7da1845ae1c375eff3b63b91c35b02afd8c9b56dd93b4dd3fa141d561a471df7

Observation 6d6a5e23-4b1b-496e-9e4e-26a8693b828b · outbound

This paper cites Bruce Croft, Johanne R.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Bruce Croft, Johanne R

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:40.820851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.852284Z digest=sha256:cf7b6a36410c8f382b769fcf1e94e329f8e9386fbbac3f8ae8152ca5e6c0c176

Observation 60f46142-5c5f-4ae2-9dbe-18df8ecd1a0c · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.806357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.857036Z digest=sha256:8416a7ece1b80abe21db4c38f1500786ca50f54498ebece69e147f98baa47481

Observation d6188832-5a51-4f1b-81b7-cec88ea574bf · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.792587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.864065Z digest=sha256:0e7ea6a8863c8095e0a0137392788d7c9c4b9d28d3e527a2ce4689f8915cc1b9

Observation 554e13d7-74e3-4dbb-84ba-297c5f934ad4 · outbound

This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification An Overview of Multi-Task Learning in Deep Neural Networks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.868579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.868579Z digest=sha256:2c03dd4962f9ceaa1d1aeccc8f62baf82fe3cc64078cb9549c9b0bd15c8b1999

Observation 561a7935-baca-4a9e-b804-b5a018ae7d1c · outbound

This paper cites How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.873609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.873609Z digest=sha256:93b42513b86e7dc94cc12e002f76565921fea3901daa9f35a0870bb1e304985b

Observation c274115a-8fe7-4985-a25b-e811aee58ead · outbound

This paper cites A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:26:40.226367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.878729Z digest=sha256:5ee5c759d929970831fc7b3cd086591423d9891da50ce2ef8a8aadcc61c05d36

Observation 0231ef53-02ee-440a-bdb8-c356ad74c03e · outbound

This paper cites Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:26:40.203778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.883658Z digest=sha256:63ec9cc786edf2afc2871110a7d8c50d23d1978454382991e99765c05dcc9083

Observation 6ad28b08-3ada-4d48-b212-90317620bb13 · outbound

This paper cites Courville, and Joelle Pineau.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Courville, and Joelle Pineau

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:40.777184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.888479Z digest=sha256:b4f75703ac0b69c5bbcf98cc69c246e20649228e30ce4755ff17dcb9b381702a

Observation 6393311e-b801-4f48-9b7b-dfe5544d221c · outbound

This paper cites A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Reference 40

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T15:26:40.183104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.892631Z digest=sha256:f783c432f9e9db56148f2e080ecf7739aef440469509e17f818ac0568cef8a69

Observation c9f78496-2c63-4278-8e23-828f745c4341 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.759518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.897065Z digest=sha256:f1f5f71dd11fcccd7612e532b4f0c846acce0e3431e7a577c9f5aa4518be7c1d

Observation bdf054bb-d393-4bde-9df1-259023737773 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.744975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.903407Z digest=sha256:4d16807e4aa4b34dd0294353b37761b8e5fe5648499b862a0b569bae53e66559

Observation 62cce47f-403a-4c1d-b9f0-e0e5bfe5166d · outbound

This paper cites A Survey on Recent Advances in Conversational Data Generation.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification A Survey on Recent Advances in Conversational Data Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.908681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.908681Z digest=sha256:3c3ca08c97f3be4e6872139947f422e14857ebaf41e0904e70fe7d89bd04c7c0

Observation f410dcac-9b6b-4b02-b66c-aad1b3ad3bd7 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.730933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.915147Z digest=sha256:45f5c2a17be40bd66a0aa9a0559e4322edd931a3652c3823d9bddbb857271e9c

Observation ab0b98b4-23b0-45f7-9749-683cbad25a5b · outbound

This paper cites In-Context Learning User Simulators for Task-Oriented Dialog Systems.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification In-Context Learning User Simulators for Task-Oriented Dialog Systems

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.920132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.920132Z digest=sha256:22cea6e13301849c33de9d992fff6f72fc3597a760fd543fa8c6130a0a49d92a

Observation e137988f-e506-492d-971a-5837f8131891 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.712186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.924676Z digest=sha256:e4c6653de4a124ad74e06099aa6ed08883a57eed0539498a9e93fac54fb58e3f

Observation 4b0788c1-75a0-4ace-91a3-1696f5a0c171 · outbound

This paper cites Transferable Dialogue Systems and User Simulators.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Transferable Dialogue Systems and User Simulators

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.928874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.928874Z digest=sha256:bf3ab2a7cf8030e7a18f8fc07359bdb34938960d2c02b3acecda837dffc79e8e

Observation 136778f2-3f5d-42de-907c-6d72458011ae · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.696789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.933539Z digest=sha256:f3dd48de575cfa0c16cb58456b3e0bb122d7ec6b68bda3a7d5f6257854ab2b26

Observation ae634947-a753-4f17-95bb-40abea04fe26 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.681623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.937511Z digest=sha256:3a95ab08e375cf789b74317f93a56bda929ae2711b6c30a84a12f936dc32a44c

Observation 6c48d1c1-d90d-4e4c-aabd-45a8f2a1d767 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.941780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.941780Z digest=sha256:751e5cc6fb8272c03da7e5e6fb5be4f02642bf8efe29723c76fc0a00a0c9a3c1

Observation 87826393-ec46-429d-8905-f8b033216c42 · outbound

This paper cites A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detection.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detection

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:26:40.097376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.945614Z digest=sha256:97c64a15fd206c7da2563d6670a203e58518bd2ad602d8339d71cbd4ffe257c4

Observation 7d55cac4-3113-4be0-8a34-ed95c596e140 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.659302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.949379Z digest=sha256:1cd5e9bcc204b6e09cba3869e4cb8e96957ef542a6e97c0d881dcc89a3ae37f7

Observation 9bf50bcb-c2d1-4ebf-9e1b-887b14ccbef6 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.641273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.953433Z digest=sha256:42a399afebfc0ecd3e88a5ffa006358941a1fa7bc11ae366ff89b2f6ac05749c

Observation 1a402b14-fe23-4ab5-b6ca-cb14f302f895 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.618904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.957163Z digest=sha256:48e04eaa17ec64beb4b1142cb6f1260e5beeeb18427fd5955cfee52fa6caa4fc

Observation ea0d5d0d-9523-4286-9961-0149c29f4a53 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.602971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.960476Z digest=sha256:b2c52692f162ce8d649d214c0f474a26bbd65f1ec5bff05181ebc056e1b8c647

Observation 817b48c2-adde-4d46-a7a8-b8de44b0dd52 · outbound

This paper cites Guo, Jun Xu, and Xueqi Cheng.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Guo, Jun Xu, and Xueqi Cheng

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:40.587584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.964276Z digest=sha256:c9d535c25cad53ffa3b342d8080235aa16492972a744f224ed804574b9a0c7ef

Observation eaf4e0c5-084a-4fc2-bcc0-06ee2da36827 · outbound

This paper cites Guo, Jun Xu, and Xueqi Cheng.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Guo, Jun Xu, and Xueqi Cheng

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:40.571397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.968771Z digest=sha256:dfaac6bdf0b86077e3b563fc5c260ee89ea34476bfe0dd5979a59c4c2d4174a7

Observation 5fb69b12-5e0a-4723-8718-c9a4d7439943 · outbound

This paper cites Modeling Topical Relevance for Multi-Turn Dialogue Generation.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Modeling Topical Relevance for Multi-Turn Dialogue Generation

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:26:40.076592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.973609Z digest=sha256:bc57671edf5dcb040f6c041565f670802361ffeaf37eab79885d644f955bebe4

Observation 83428349-db65-4e3e-b348-de7fb66ee82a · outbound

This paper cites Personalizing Dialogue Agents: I have a dog, do you have pets too?.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Personalizing Dialogue Agents: I have a dog, do you have pets too?

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.981996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.981996Z digest=sha256:7d3d153e95ab28fd2da78d141d7dc7b724bbb82eab1b4b971706b021831eeb29

Observation 497fb025-d68f-4017-938c-cdff94f9b04e · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.558278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.986821Z digest=sha256:0ef784912f87e88ff00f833239e2fec9beec30d14f91caa7b6255432efe5991e

Observation 4483fb01-46d0-4808-8068-6f712edcb867 · outbound

This paper cites Is ChatGPT Equipped with Emotional Dialogue Capabilities?.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Is ChatGPT Equipped with Emotional Dialogue Capabilities?

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:39.991075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:39.991075Z digest=sha256:b515819a470787f81fb58ff7ca374676c9c1a584961c352ee121bab3d699d4ea

Observation b4efd833-f02a-43df-ba38-5f40165dd912 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.544288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.995586Z digest=sha256:c1b8e9cb55a0e05fd808c8fa67c2722b7a52fd61ec5fa227796f3db3c81a3cb6

Observation be858178-ebc1-4920-97a9-519c244674c3 · outbound

This paper cites an unresolved cited work.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:26:40.529902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:40.000474Z digest=sha256:b662eef21350ef99bb86ffbcc1ba1a92166c8b130f07ddc81537c10558448428

Observation 40c22d4c-8b89-421d-b692-d51710360ec3 · outbound

This paper cites IEEE Workshop on Automatic Speech Recognition and Understanding, 2005.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification IEEE Workshop on Automatic Speech Recognition and Understanding, 2005

Reference 2005

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:41.026206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.689500Z digest=sha256:d24f49587dbb2223a45fe17a1e45d426e7c8e53bedd6ad55a9d9f39744a8cc2f

Observation dc64c1d3-eaf4-4f1a-9c78-88278fef9b17 · outbound

This paper cites Adversarial Learning for Neural Dialogue Generation.

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification Adversarial Learning for Neural Dialogue Generation

Reference 2017

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:26:40.391201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:26:39.756117Z digest=sha256:535f2067950fc671290dfaa4549331fd0470adc9b280009447a347130d0acf4f

Pith citing papers

Observation cc7545ee-76f0-4fa6-aad2-9acfd4c200da · inbound

Deep Learning Approaches for Multimodal Intent Recognition: A Survey cites this paper.

Deep Learning Approaches for Multimodal Intent Recognition: A Survey From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:36:36.065353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:36:33.741135Z digest=sha256:12d00cac6c2552cf87f1f1c5ed5ae44da1ebd22d41a321f9835bdcced019d64a