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 4 inbound Pith citation observations for arXiv:2309.01859.
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 2026-08-06T12:08:23.507484Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T12:03:15.421544Z
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 bfcc85ce-9b18-495c-a5e2-93236e1e3618 · inbound
Meta CLIP 2: A Worldwide Scaling Recipe NLLB-CLIP -- train performant multilingual image retrieval model on a budget
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb258d51-6265-4ba0-9445-e2436af2db3b · inbound
Multilingual Vision-Language Models, A Survey NLLB-CLIP -- train performant multilingual image retrieval model on a budget
Reference 147
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 baf27459-fa3c-41ec-90c0-c141257415ca · inbound
What Matters for Grocery Product Retrieval with Open Source Vision Language Models NLLB-CLIP -- train performant multilingual image retrieval model on a budget
Reference 36
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 dcf2fa81-0db3-49c5-be59-2d5edf534902 · inbound
Scaling Vision-Language Models Is Not Enough to Mitigate Bias NLLB-CLIP -- train performant multilingual image retrieval model on a budget
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.