Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.11202.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:13.252061Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T09:07:48.089752Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 8045ba8a-88a9-493e-b61e-1024ca06bdcd · inbound
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 72d5a0e0-35b0-49dd-8837-17c29dd6b31c · inbound
When VLMs Meet Image Classification: Test Sets Renovation via Missing Label Identification Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab0996bd-84c5-404f-8d21-c12584dfa295 · inbound
Evian: Towards Explainable Visual Instruction-tuning Data Auditing Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 98edbffc-663e-492e-88bf-3aca594042cf · inbound
Noise-Aware Framework for Correcting Corrupted Labels Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c925e469-c516-4e9f-ab56-5b7d9e428dbd · inbound
A Data-Centric Framework for Detecting and Correcting Corrupted Labels Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.