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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.665666Z digest=sha256:f68559ddcc162c8a1ab96760f2705719d77ff67e8774681897549fdeb4196de7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.672980Z digest=sha256:1e6b18e227851e5d35b2f505d04008576bf15ce4c83cd882aa11a09944b99334

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.684765Z digest=sha256:8776a8b2b8970cb98b89e8cb8dd3690ea881a8f34cd180836064b9f22c0fed5d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.693773Z digest=sha256:b076dab3e7143677370bcf32f8c2491002671b09db78fec85670cbac8d3c3e4e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.713524Z digest=sha256:af52fb93677be73dd0ddeefba1ee458c7428757c481e089c14c8ec18038d49be

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.724330Z digest=sha256:ef31347539addca504a78d381e11b34a8953427c7085af2134615412d240e4e8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.729609Z digest=sha256:03fd4a6c1ca0b3e663a3274041f547a0ffe517cbc74f9fd3c3c0dcddd8ee257a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.733579Z digest=sha256:6e6dd3c4008c332aefe1357324257b7ad7f4223d56da9630d7f13b0c01678694

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.746761Z digest=sha256:befe0ee5c118e22271a27e405d2074f72c48da707268fb43479e8dc87c2148a6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.761521Z digest=sha256:3bc1e8cfab76f3a482b33bb24cdd07759823c2f1cda80aed1358d67284286b52

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.769183Z digest=sha256:66829301a0af4223011b8e57560f38377cde979d790b3077ec7e91f91a3514ed

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.773803Z digest=sha256:68a0c336aa12cd59dc6f14f72d39ef14626f2a49d3f1876af02a1d380a8bdb73

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.785628Z digest=sha256:37b9e447979b43941090f9b3517d6741f31084720cd5d50efdad1c65c9fe2346

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.791013Z digest=sha256:fa41583e302d4c6fab97237e7bd1904d031a67f471bbe1342a81faa2d0527015

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.796171Z digest=sha256:6e3825fb18d458d80ec58fa455a94412a5ec061c7d74bd9b1dd0d6268c31c638

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.802271Z digest=sha256:6c81ad01c359c79b324d96e794af42d51bfc1b1dcccfd71b431177bdfbc55787

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.811986Z digest=sha256:67a54e9b6308ef73038e6ea8cd04d65cba8ad2b701bdca7c4aa6158c0476e947

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.817162Z digest=sha256:ceb06e54d027f87704b74d793f8816dee9c9270989146a48a47802f26b8a288d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.822041Z digest=sha256:566fc160323b032960e7eef7046fec18a0e5745426cc6f45d305efa62eb2abe0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.826680Z digest=sha256:ef2a6c9f97355656b9a02d38375757d39e470455fb20496648aaf6b5e2cede33

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.835615Z digest=sha256:8c190d0745e58e668d8410d48eef3753d64fed63e87fa34f586d2999f250dc38

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.843096Z digest=sha256:b8dd653e04cecfda947910895234dce8f22a8682865811af1313f7bff7ba659a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.852284Z digest=sha256:9012b249be833d0b7a91ab00544e68297f3e3acf600c8ee1a01cc8603f8c05df

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.857036Z digest=sha256:2de4db773d51bfd72520eedd0361349cdd8350e5cc135818af04f072291909c3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.864065Z digest=sha256:f7ebdf22192771b80d621fded4cfcba818b87526a7f7a14b838fe3e3abc6d828

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.878729Z digest=sha256:2d4762e8af6022dffa170984f31f7764d4ad4d42e489842292f0d73448413194

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.883658Z digest=sha256:824a4660fcad64b094dababd17294900f62c0571a186bba7b4670a0d1bbaf5db

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.888479Z digest=sha256:1024094672b0bba6f170a4b32916b7310a681fea4f95080e2dfc07817d459ad0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.892631Z digest=sha256:e3d91cd9131fce248184bb87f0d8df278366da275e16da992996038d43044f4c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.897065Z digest=sha256:986510fe1c388b2d0a4634dbbd68455d0522d8d4a38e2f87b34ea8985899018f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.903407Z digest=sha256:a5346dd33ff5b840950baaf06f6529a30153ccb6f0b975d79b3e606d6021208d

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
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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.915147Z digest=sha256:17349025b57653aeeecefd60fba9661d37730a305e38cd8b4a3bb8fc4fc9d104

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.924676Z digest=sha256:a45670fe2b222d5183b19aa697f05309f3c4c7b5fc260c04c492f5289545a4ee

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.933539Z digest=sha256:40aa050819cb8bc66d566c084adb3b4cb2f9ba4dc631fe1fd770813b886da104

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.937511Z digest=sha256:dab40279cd9325540835973b39d25e5ad6da23cc34336094eb0fc58a568e0bbf

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=sha256:4622c5a3218aa399dee3452724710500f7f75e01ca5a86df70ef094ba0a74547

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.945614Z digest=sha256:e7332973fad9097b6c8268e6be136263f6f664a3e50e64ebdaac3b8c0be46a89

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.949379Z digest=sha256:ae04067ed3eef3545526a2b924fe49c6a67eec14350fe5c57771f203a5474ee8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.953433Z digest=sha256:cc9421f3335101a072b8f80dd17f897da0780a085a389061ea5b32e1432286ba

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.957163Z digest=sha256:19251f73c1b98cb2385059f648423d9c1e6430d3bb841e0ebbe4908e190d8090

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.960476Z digest=sha256:375941a16ec6ff27db58d5eea323764f2e723bf83e1de60fa924116f76a5cbbf

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.964276Z digest=sha256:cd0c9d43831eb5588fc83eee2e4a146bdae08e22c416671ade75cea38f600651

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.968771Z digest=sha256:4c73d28d1ff7af3076494d51e88ea132bdc0fadbba071462cf7f68836c5015a7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.973609Z digest=sha256:29a5ddc899fee0630068dfa90f16658c4580a141d01bacce9181da4168929ab2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.986821Z digest=sha256:7e267517511b226e049cd050b89ab6ac42817a50172a005687afb2dc10134b50

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.995586Z digest=sha256:6e1215feea13f2a4502fff9b6f6f9b8ed748e4438071f440bf3af463d6cde932

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:40.000474Z digest=sha256:1ee099c9131ce66eadafea48bebd8a805c120b3dd924893a03e39ddfec1d966e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.689500Z digest=sha256:bf2d5fdff102a754b7b911c59148aea19aa7f2c1c0f2a88b0d595c2c2ffcc596

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:26:39.756117Z digest=sha256:c036095c071b2a59c14d30aee0882f1e10c668a9d5a1a1734510406948c47db2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T14:36:33.741135Z digest=sha256:7972de4c6abde175f6cd270cf7363b8bf0d3d01e840b9657772e011899afd8c9