Paper Citation Record · LEDGER

NLLB-CLIP -- train performant multilingual image retrieval model on a budget

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.

pith.paper-citation-record.v1
2309.01859 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:08:23.507484Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T12:03:15.421544Z

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 bfcc85ce-9b18-495c-a5e2-93236e1e3618 · inbound

Meta CLIP 2: A Worldwide Scaling Recipe cites this paper.

Meta CLIP 2: A Worldwide Scaling Recipe NLLB-CLIP -- train performant multilingual image retrieval model on a budget

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T12:08:23.507484Z

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 cites this paper.

Multilingual Vision-Language Models, A Survey NLLB-CLIP -- train performant multilingual image retrieval model on a budget

Reference 147

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:02:37.476330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation baf27459-fa3c-41ec-90c0-c141257415ca · inbound

What Matters for Grocery Product Retrieval with Open Source Vision Language Models cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:03:15.423032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dcf2fa81-0db3-49c5-be59-2d5edf534902 · inbound

Scaling Vision-Language Models Is Not Enough to Mitigate Bias cites this paper.

Scaling Vision-Language Models Is Not Enough to Mitigate Bias NLLB-CLIP -- train performant multilingual image retrieval model on a budget

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-31T14:32:40.798062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.