Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
IntentGPT: Few-shot Intent Discovery with Large Language Models
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.10670.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T07:49:39.019574Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T11:39:47.111753Z
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 a289e3e6-9d42-47cb-adbc-95ec13a643aa · inbound
NILC: Discovering New Intents with LLM-assisted Clustering cites this paper.
NILC: Discovering New Intents with LLM-assisted Clustering IntentGPT: Few-shot Intent Discovery with Large Language Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:28:00.359813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0abca90e-1b05-445d-a7b8-34a474370e9b · inbound
OralAgent: Integrating Reasoning, Tools, and Knowledge for Interactive Dental Image Analysis cites this paper.
OralAgent: Integrating Reasoning, Tools, and Knowledge for Interactive Dental Image Analysis IntentGPT: Few-shot Intent Discovery with Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T00:11:26.451809Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 989b7dc8-99c7-4247-9a66-ed7303212d3f · inbound
Towards Spec Learning: Inference-Time Alignment from Preference Pairs cites this paper.
Towards Spec Learning: Inference-Time Alignment from Preference Pairs IntentGPT: Few-shot Intent Discovery with Large Language Models
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T11:39:47.113828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e7846353-0071-4718-bcc2-81568687ce09 · inbound
Towards Spec Learning: Inference-Time Alignment from Preference Pairs cites this paper.
Towards Spec Learning: Inference-Time Alignment from Preference Pairs IntentGPT: Few-shot Intent Discovery with Large Language Models
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T12:04:39.395780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a4073d7a-9ff9-43a8-a29e-25bb85f88473 · inbound
Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes cites this paper.
Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes IntentGPT: Few-shot Intent Discovery with Large Language Models
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:49:39.019574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.