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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 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.665666Z digest=sha256:30db5fdcb23514d2cb1ec9dfbe1383cd7d8d441df6f0ca01a7e04926f90aa3e8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.672980Z digest=sha256:a804fd11e366a0fb122e7b65721232a6172bda55d5aa14ddcd4b41d99e39b58c

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=sha256:25c6f2daea58185ab030a16b39e01d075ee5648455621f27fd54ab38cb11fda7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.684765Z digest=sha256:c91991c3d9bdf14fbbfd1eb8a7f8eaf18249cf00924d6ae8315b5ba157bbf565

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.693773Z digest=sha256:1895fefdc9dadd6eb0c7b8e18de93c7c2b31b844c30e2fdf4dd626bd48e4b5ed

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=sha256:7b0ddf2bc22b5b37232d88bec1bb2f59be2d42276d12b04afd59472ec940483b

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=sha256:9d28798b2c2b562ff2de91d9016832c7f7ab0afa68cd8621f01f42bf4e83be35

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.713524Z digest=sha256:fe02947901c8fbe25fa586e1d766affb846785e926ba625561c3ed02db033c22

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=sha256:16da6109925965cf18f6e613a54e57d55b7332dc78e95f6c3fee3c03495955c2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.724330Z digest=sha256:864abcc05dfb4797ed37684dd91ea4313769a2c822683c6741bd798d618a821d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.729609Z digest=sha256:1b12252cf259ca064832efbf217a125ec5eb399b365cf66d876af47fd6bbc549

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.733579Z digest=sha256:dd826fb94df01aa57e747aee1a4a76ee4ac1439b9adf2eb67cd484f565cef14a

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=sha256:91f17f926842442d179a7b2dbbec9d9316b76c7ecae483e0ac277dc69dc3a999

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:bf22c79a8984cf8aa7673165f9a692fa051cdc9437c3a80a920a49b31ea64637

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.746761Z digest=sha256:2a40901728fe9af698dfe8a5b4a2c54edc023cb4de766246be819dba0a7e8e90

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.761521Z digest=sha256:7f218def95dec51c4244a18a9318ccf5de26cf6f37ac4a8ab0bf5d20cea10c5d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.769183Z digest=sha256:8da2eecc07dae84c9ec3d4be264419580fd75557325335432d3da1652032ed60

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.773803Z digest=sha256:486772434a3a1d11f8fc25ccb73e9e9b0c9c5ca5e1e3ccf0025fc312d4149ee6

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:d7da406ee206090970504b3414ad25db67e51c866fe0003a286dd261ce16daee

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.785628Z digest=sha256:a63b1a4c6448bfe7cd1cc769804205ae946d2e237e3d724f74936efc88d350a4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.791013Z digest=sha256:37536cfd14a2c35d70b7ddb6c6f10488e79e579300134b2a7ff8ebb3dbc5fb72

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.796171Z digest=sha256:72693c60aded85acce3f466ea096a56af172cc856dd610e771f6a9bc0ef2d267

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.802271Z digest=sha256:62bdab17b579d385664907711405539a0a1bb37d8683abab838c037d0169a6ce

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.811986Z digest=sha256:abb9641bd94a49aa59ce6cd47ce82a2da264ea3b669a5b82a0f91f73b0ced9a8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.817162Z digest=sha256:bfb05782d01a13ad141628c2028d70ec7aef77ff95b5a725f234a4b620d6799e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.822041Z digest=sha256:eed92f6d95b24df698a8b2b6a15918bb6e20ed491a1b85dbfc6f27dc7fd9346a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.826680Z digest=sha256:b7a41edd475150e59f349c5e8ef0d8f871edaee896fa78f001349a9544c440dd

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=sha256:6f72a6d898147d7726fa1c8b76b7fb545ef80827d3dc37fe72425220e90a6382

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.835615Z digest=sha256:ae0b9ba625257e122e8918a8fa12bbc03879367c92b278df475411cfa4ffb4d5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.843096Z digest=sha256:cdcf42cbebeb4de8a31b4769cac6517440bada9b1c853a76e9aab81eb331d16f

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=sha256:96b7ffddfb3e82373a3398e54ee49d40fd29d83fdcfcfdae5c6535423b3195db

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.852284Z digest=sha256:24c962036de1a1951ac9cbbf155c35b05c836a4398963b43f5f1b3fda17300f2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.857036Z digest=sha256:8f1606a7af2e6fe9f7352bb49a235b1a46847d040355accb9095f03d8c3a4a81

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.864065Z digest=sha256:b5b7f85e40448c07ae02d9dbc2a6b6addf9d01af3baf3a84f16cf2d11c02ba84

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

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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=sha256:161b00c20f2a562116454fa1c1ea5a8760fc885e90d73d82204090ffd8c7b55f

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

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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:c3a9da88c3d924be608b5bf24892a2490278196d60488bcfb6d5f3c0eb069819

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.878729Z digest=sha256:8c62db20ab64e168b734be043e826014bffe2af5ce0d9f4174a8066c078254e3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.883658Z digest=sha256:60b42dc56fdd5bb780cb9b586e738ad40adce358a7e0d545d97488fd95877047

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.888479Z digest=sha256:28ad0e7d7042c900ff7728b02489e2be952ab68d63d42c11c34c4728cf5439b2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.892631Z digest=sha256:f4cb41b7391d54a4526d6fb4deeac993c1dd20f50cf8f701395220ff8d6ff1ee

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.897065Z digest=sha256:90acb10134ec9d1b039dfc983174a5dee19ddd948c091afad057eab78c40372a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.903407Z digest=sha256:9809c866e2da064b8eb053ebe0cd3dc546c0ff70efedee6af27dd38e01482cd4

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=sha256:7db24e478195c21db07f05ec366af320a105aefbe7ddca07bcc511642b03f946

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.915147Z digest=sha256:599e863a29d812b82a76ebba5c424cbfda512ed877366186a68140bf29a19694

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=sha256:756bbd74b5138b18469e10b284f0ac7a75f1dccf1b0c71c71974d7a119e31dbc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.924676Z digest=sha256:e9e6ed881955e4e15a1bc6a4a2c6e4c5e4afafbde2525f3b9cfd44ddc8b67983

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=sha256:2456627c27f844df648506229ed0cc475e5bd17575c46c61bf7093af554b5731

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.933539Z digest=sha256:ad34837bbd35650d01a56c7d34165624b83c675fdc502368c4df1c96274c17f3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.937511Z digest=sha256:2fe79c9678b2282e065a8878a3a50b52920ab179dabb7fd4b0b092d2b1b0d437

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=sha256:911d4cce0d225ff405bb5328fcc9d457c92e8cd859467ba832a9713f93362e7f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.945614Z digest=sha256:4e696e45612f7c3d76d8e2d81194b377c6ae817d35bf96580d9b814978effa9a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.949379Z digest=sha256:24443148100db7234d12f23acebfbeb6ea91d2abbab1e88ce2cbd4bc20bc6bbf

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.953433Z digest=sha256:27f777c43a989882a9bf810e70b66bc601909b260b95243c0e2cebc1736ced12

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.957163Z digest=sha256:00dcba457815dc7451457bf09496512da589130dc33710bdd0052841238edec9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.960476Z digest=sha256:2162e52afea70605a1296dd4e7e72d1f365a1377b0041f8f33e7e7b22108b195

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.964276Z digest=sha256:dcbe3d88c9a0b971d71f6de02f39574b158cc9e942bcd92790cc847ad28a1507

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.968771Z digest=sha256:edefb502616bee3b73973feb6593ae6f0e6df8b3b1cafaa1c598df294b25698f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.973609Z digest=sha256:7963a2236b61db974d1b4c093cdc2103d12565aae6f74c7920e52b2ad6b15353

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:da2807cbf8fa609c6930f4520e213e0367305adaa926468f386c7cb4c97e4241

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.986821Z digest=sha256:0be69edb4e9d7de6d532150322b56c357c9633b5c490afcccfe0a80f73e6ea34

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=sha256:9795edafcd050b4739d858d929fbeda5fdd04c52e5b3b567717e143a879cbf98

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.995586Z digest=sha256:7b59553546a726d828fdb208f3156ac2bcfa07829499779e1fb2a1231ad932f4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:40.000474Z digest=sha256:ed36fe9173897e4b41d43b0075b07dd0521d625e68b8d6f96c34a52e5f83422f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.689500Z digest=sha256:8335c6bc179f585e8d9b1d4cbe3c68ed1c0ac901b2be13b2397c339322f26714

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T15:26:39.756117Z digest=sha256:2a1907fad74fdeaf7709516e1cbab99ca8d4e801429ab994c847d7bc2db14c17

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T14:36:33.741135Z digest=sha256:fc399e18de6e145de19d1cf43ed4b27bae052a2ab49cf5ed4e2bf7b1d1154f75