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Paper Citation Record · LEDGER

New Intent Discovery with Pre-training and Contrastive Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2205.12914.

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

pith.paper-citation-record.v1
2205.12914 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:25:48.090908Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:05:57.289560Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0172948a-4b89-4d8c-8106-d2fbca4da8fc · inbound

Towards Automatic Evaluation of Task-Oriented Dialogue Flows cites this paper.

Towards Automatic Evaluation of Task-Oriented Dialogue Flows New Intent Discovery with Pre-training and Contrastive Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T19:44:04.039377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:44:04.039377Z digest=sha256:34763e3f65058ffa9889a77133fdda0745692a0619aeb1cf22079d3fcf31b179

Observation e524eea8-d131-4298-8510-d45bdc190f3d · inbound

IntentGPT: Few-shot Intent Discovery with Large Language Models cites this paper.

IntentGPT: Few-shot Intent Discovery with Large Language Models New Intent Discovery with Pre-training and Contrastive Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T19:31:34.507407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:31:34.507407Z digest=sha256:6b63473bbafd07e48fdeb3d3819aa5fb15c05c92e36dd486d3e0011f735fdea9

Observation 99410b46-ffe5-4fa2-b1ad-bd95c8693203 · inbound

Unleashing the Potential of Model Bias for Generalized Category Discovery cites this paper.

Unleashing the Potential of Model Bias for Generalized Category Discovery New Intent Discovery with Pre-training and Contrastive Learning

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:05:57.302195Z

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.

source=arxiv_source observed=2026-08-11T14:05:57.096500Z digest=sha256:9097e240ab73fe844674cc3a0d477fee71f07ed4aee962a8ce6e373a97cd82ce

Observation e3de436d-494a-411f-939d-e557102e2b64 · inbound

Cequel: Cost-Effective Querying of Large Language Models for Text Clustering cites this paper.

Cequel: Cost-Effective Querying of Large Language Models for Text Clustering New Intent Discovery with Pre-training and Contrastive Learning

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:48.090908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:48.090908Z digest=sha256:b7b44c379b6b1059524a95a932a3e5cd5b85fd9e695af7b572030166e5b73b02

Observation 4ace878f-ff85-441e-ae45-d2f847d49ad1 · inbound

Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals cites this paper.

Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals New Intent Discovery with Pre-training and Contrastive Learning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-04T20:11:41.704280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:11:41.704280Z digest=sha256:77aee9344a1eaf2aec1341f5b67c6404d20b43b2dcf2c2f71193b11acd5eca4b

Observation 2af11a66-ae3a-46ac-a662-1e11440657f7 · inbound

NILC: Discovering New Intents with LLM-assisted Clustering cites this paper.

NILC: Discovering New Intents with LLM-assisted Clustering New Intent Discovery with Pre-training and Contrastive Learning

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T23:28:01.640397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:28:01.640397Z digest=sha256:28da146a0ac1b88d2e7d34773e7795e53bcbff0f356bc3e93472b7341e138420

Observation b68063c4-174c-40f6-a35a-3520d3b0477b · inbound

Unsupervised Multimodal Intent Discovery via MLLM-Guided Concept Generation and Semantic Propagation cites this paper.

Unsupervised Multimodal Intent Discovery via MLLM-Guided Concept Generation and Semantic Propagation New Intent Discovery with Pre-training and Contrastive Learning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-01T06:29:03.219323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:29:03.219323Z digest=sha256:4df4ce086110fb60a0f4246e15b5a06d24bcfe7576e5b32210968a91206a2032