Pith. sign in

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:ca64aa85111ee06ba9b53f1663f8ef6b7f6ca9e302619cc97cee45f78e5ae74d

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=sha256:8120a858f3894a75fa9d02b3b7335af43c9c3dd6b301046be18fd092052bfab8

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:b92fe79ce727ec169a0bee38f9f130a1c7e524a75b90a5336080330419d88103

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=sha256:81d81a702881edd267237918c2b016d97cd015e2b4fdc4b5ae3e0cf4b491b0ab

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=sha256:54f178386fc029b270844c9a8e6f2c837b3de2ee845803a8140d6a283f6326e1

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=sha256:9a579b9a0a3a92199494ed2fb971997414c2040b9d043b22314fff7020e0d72c