Paper Citation Record · LEDGER

Minimally Supervised Hierarchical Domain Intent Learning for CRS

As of 20 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2505.02209.

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

pith.paper-citation-record.v1
2505.02209 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:03:12.430383Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact4
verified fuzzy13
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 839a9b78-ab38-4208-819a-cdac1124408c · outbound

This paper cites An Iterative Self- Learning Framework for Medical Domain Generalization.

Minimally Supervised Hierarchical Domain Intent Learning for CRS An Iterative Self- Learning Framework for Medical Domain Generalization

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.965380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation adf7b6eb-033c-49e4-8be6-1d73b22e51d8 · outbound

This paper cites Discovering New Intents with Deep Aligned Clustering.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Discovering New Intents with Deep Aligned Clustering

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-16T01:03:12.749061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6374ac71-926b-4dbc-9314-fb32e90c4ba7 · outbound

This paper cites Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-16T01:03:12.725705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 67124f2c-86eb-4446-a29d-782afd187ff6 · outbound

This paper cites Supervised Clustering of Questions into Intents for Dialog System Applica- tions.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Supervised Clustering of Questions into Intents for Dialog System Applica- tions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.948841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83500dfc-e419-49e2-ab6b-ff9c2b85859e · outbound

This paper cites Achtermann; Indrajit Bhattacharya; Kevin W.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Achtermann; Indrajit Bhattacharya; Kevin W

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.933133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ad5ffaf-bac8-4ad4-b9e5-61b339aee095 · outbound

This paper cites Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: Minimally Supervised Hierarchical Domain Intent Learning for CRS 15 an Application to Intent Clustering.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: Minimally Supervised Hierarchical Domain Intent Learning for CRS 15 an Application to Intent Clustering

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.917998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9bf2ab22-6bce-462b-9ad0-21c29c7eb91d · outbound

This paper cites Deep Embedded Clustering with Data Augmentation.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Deep Embedded Clustering with Data Augmentation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.902529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 01950dbe-277c-43eb-9ac5-d7c1a01a0286 · outbound

This paper cites Unsupervised Deep Embedding for Clustering Analysis.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Unsupervised Deep Embedding for Clustering Analysis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T01:03:12.357325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d4427c-ac7b-4a10-8e47-5db9b07f681c · outbound

This paper cites An Unsupervised Neural Attention Model for Aspect Extraction.

Minimally Supervised Hierarchical Domain Intent Learning for CRS An Unsupervised Neural Attention Model for Aspect Extraction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.886450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13c9b66d-023a-4d4b-91fc-50eb4f53e931 · outbound

This paper cites Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T01:03:12.367495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88bb2728-3b09-4a28-b28b-fe3e20fee4a2 · outbound

This paper cites BERT for Joint Intent Classification and Slot Filling.

Minimally Supervised Hierarchical Domain Intent Learning for CRS BERT for Joint Intent Classification and Slot Filling

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T01:03:12.372942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2f857c0-ca96-4e76-bc06-aed84d6e70e4 · outbound

This paper cites Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-16T01:03:12.646487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1846b14f-0e0a-4b5a-a3ff-14852712f225 · outbound

This paper cites Intent Mining from past conversations for conversational agent.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Intent Mining from past conversations for conversational agent

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T01:03:12.383422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 732f3cd1-11ac-4f43-a1ff-3604f1da6fa3 · outbound

This paper cites Continual Learning in Task-Oriented Dialogue Systems.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Continual Learning in Task-Oriented Dialogue Systems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T01:03:12.387724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ae4eff4-ce3c-4238-a8d0-00bc03f5f2fb · outbound

This paper cites Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.870677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 217024d7-2ec1-4d2f-ac3b-48ec151a88ff · outbound

This paper cites Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.853596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d303b1ef-9b46-41df-a71d-34a76b8f97f4 · outbound

This paper cites A dendrite method for cluster analysis,.

Minimally Supervised Hierarchical Domain Intent Learning for CRS A dendrite method for cluster analysis,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.836097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 31ba72f2-1038-49a9-a27d-640957ac465b · outbound

This paper cites A cluster separation measure,.

Minimally Supervised Hierarchical Domain Intent Learning for CRS A cluster separation measure,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.815379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 590f86e3-9bae-40ac-9c4e-11dc8e2de067 · outbound

This paper cites Cluster ensembles—a knowledge reuse framework for combining multiple partitions,.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Cluster ensembles—a knowledge reuse framework for combining multiple partitions,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.799270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07bf12fc-7d47-4dc5-80c4-d7ca31f2430c · outbound

This paper cites Comparing partitions,.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Comparing partitions,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.783220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c6a239c2-8770-46c1-ab21-7114b30cea68 · outbound

This paper cites Algorithmic bias: on the implicit biases of social technology,.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Algorithmic bias: on the implicit biases of social technology,

Reference 21

Resolution: verified exact; doi, observed 2026-08-16T01:03:12.470407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7726314-f1a7-429d-a7b5-6c5c81648433 · outbound

This paper cites Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues,.

Minimally Supervised Hierarchical Domain Intent Learning for CRS Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T01:03:12.425547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6c60c2b-e39d-4de8-bce9-dd3a856856da · outbound

This paper cites ClusterPrompt: Cluster Semantic Enhanced Prompt Learn- ing for New Intent Discovery,.

Minimally Supervised Hierarchical Domain Intent Learning for CRS ClusterPrompt: Cluster Semantic Enhanced Prompt Learn- ing for New Intent Discovery,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:03:12.767028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.