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Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:38:19.006394Z

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 ee888382-854d-4e60-8872-239e223ef6e8 · inbound

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training cites this paper.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training NLLB-CLIP -- train performant multilingual image retrieval model on a budget

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T18:38:19.006394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:38:19.006394Z digest=sha256:3e9dc9acca518934ecef13724840b0ea26fb430328085cf7e412ca6389ee707e

Observation 3ea58816-7331-405f-bffe-61faed31980b · inbound

jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images cites this paper.

jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images NLLB-CLIP -- train performant multilingual image retrieval model on a budget

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-11T17:37:15.349401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:37:15.349401Z digest=sha256:4e3ea32ce4b30d1c872812dd852cb48a9ce9cc3146dfbf130ad8571f8e3c8cca

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.

source=pdf_text observed=2026-08-06T12:08:23.507484Z digest=sha256:3852799873d2aa58ba585880a0cbc04dea267d45c2aa94f78ddb3c23f48dc609

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T13:02:08.000814Z digest=sha256:1c4744e5bedfe2a7020b3120b9ea31dbef1eed0384db1061aa5e66d6cd156ae9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-20T11:59:53.366287Z digest=sha256:6c1a7c4e1cb5121fb5e8544d670e6343ad78fe53e3eea582bdfba49b0b7b7310

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.

source=pdf_text observed=2026-07-31T14:32:40.798062Z digest=sha256:5fa00c263cee83e1b14cd7de20913d49b02a03af164704d3086d2b1050fc01a9