Paper Citation Record · LEDGER

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training

As of 18 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2411.11927.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.11927 v3

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:38:19.066615Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:20:50.578691Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

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verified fuzzy39
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5fc2996f-d8e4-4fdc-8e1c-b26acbc91c16 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Observation 771fe683-689f-441d-b6e9-682a5f800c57 · outbound

This paper cites GPT-4 Technical Report.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training GPT-4 Technical Report

Reference 2

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Observation 660777d5-cb9c-4b98-b151-3a197f179d4e · outbound

This paper cites Qwen Technical Report.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Qwen Technical Report

Reference 3

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Observation ffdf892f-bd6e-4a73-abd7-c55e88b008fd · outbound

This paper cites Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?

Reference 4

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Observation 4c869d3f-597c-4e61-92cc-3786a74a9fb0 · outbound

This paper cites Ar- trackv2: Prompting autoregressive tracker where to look and how to describe.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Ar- trackv2: Prompting autoregressive tracker where to look and how to describe

Reference 5

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Observation c4c56f93-3de8-484b-a1ad-86a340e98125 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 6

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Source-reported events for the cited work

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Observation 5e25dad2-cdbc-4c67-a9af-08fa36885ddf · outbound

This paper cites Language models are few-shot learners.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Language models are few-shot learners

Reference 7

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Observation 0c0df006-4258-4b48-ba93-2aa5bcbf47b9 · outbound

This paper cites Cross-lingual and multilingual clip.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Cross-lingual and multilingual clip

Reference 8

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Observation f2176700-0419-4c48-b9f3-f506a023749c · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 9

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Observation 99a2709e-9a1a-4d99-890b-3cf78d420f12 · outbound

This paper cites Pali: A jointly- scaled multilingual language-image model.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Pali: A jointly- scaled multilingual language-image model

Reference 10

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Observation d1b03554-275a-471a-bd59-81be51e97053 · outbound

This paper cites Altclip: Altering the language encoder in clip for extended language capabilities.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Altclip: Altering the language encoder in clip for extended language capabilities

Reference 11

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Observation 818f101b-df01-47cb-9ef8-8d580dbea403 · outbound

This paper cites Maskclip: Masked self-distillation advances contrastive language-image pretraining.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Maskclip: Masked self-distillation advances contrastive language-image pretraining

Reference 12

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Observation d7465e84-03ff-4c58-ba74-e7446b4560ab · outbound

This paper cites An image is worth 16x16 words: Transform- ers for image recognition at scale.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training An image is worth 16x16 words: Transform- ers for image recognition at scale

Reference 13

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Observation 10bec2c1-eddb-469a-9391-df7cae57fefa · outbound

This paper cites Improving clip training with language rewrites.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Improving clip training with language rewrites

Reference 14

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Observation 2dc147cf-df78-40ce-8f07-695493844f6b · outbound

This paper cites Pyramidclip: Hierarchical feature alignment for vision-language model pretraining.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Pyramidclip: Hierarchical feature alignment for vision-language model pretraining

Reference 15

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Observation f562151e-0523-4909-994a-422254de4be5 · outbound

This paper cites Softclip: Softer cross-modal alignment makes clip stronger.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Softclip: Softer cross-modal alignment makes clip stronger

Reference 16

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Observation a44e35a2-0ca5-42d9-9767-00719897ee77 · outbound

This paper cites Hiclip: Contrastive language-image pre- training with hierarchy-aware attention.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Hiclip: Contrastive language-image pre- training with hierarchy-aware attention

Reference 17

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Observation f8b962ac-6dc7-4488-a66d-56777c37f4a0 · outbound

This paper cites Sugarcrepe: Fixing hack- able benchmarks for vision-language compositionality.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Sugarcrepe: Fixing hack- able benchmarks for vision-language compositionality

Reference 18

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Observation 8a850156-b50c-410f-a52f-a7e55f11e682 · outbound

This paper cites Openclip, 2021.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Openclip, 2021

Reference 19

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Observation cd64749d-6852-4338-bceb-c524d5dfda4c · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Scaling up visual and vision-language representation learning with noisy text supervision

Reference 20

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Observation 00cb0a3b-3899-409a-b0e7-2a1a893c0f8f · outbound

This paper cites Mistral 7B.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Mistral 7B

Reference 21

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Observation 8d033562-e4e6-40c2-97d8-eb4b9b788d4f · outbound

This paper cites Scaling Sentence Embeddings with Large Language Models.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Scaling Sentence Embeddings with Large Language Models

Reference 22

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Observation 9523231a-5fe3-433f-b323-a0f5e73eb07c · outbound

This paper cites Misalign, contrast then distill: Rethinking misalign- ments in language-image pre-training.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Misalign, contrast then distill: Rethinking misalign- ments in language-image pre-training

Reference 23

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Observation 03a6eaf3-1f33-47d8-b5fd-cbadd5602711 · outbound

This paper cites Jina CLIP: Your CLIP Model Is Also Your Text Retriever.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Jina CLIP: Your CLIP Model Is Also Your Text Retriever

Reference 24

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Observation df8046fa-aa08-4e92-9781-8bcb8859ac51 · outbound

This paper cites VeCLIP: Improving CLIP Training via Visual-enriched Captions.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training VeCLIP: Improving CLIP Training via Visual-enriched Captions

Reference 25

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Observation e468e0e3-9f0b-4f11-9434-debbc4ba3d07 · outbound

This paper cites Uni- clip: Unified framework for contrastive language-image pre- training.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Uni- clip: Unified framework for contrastive language-image pre- training

Reference 26

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Observation e9c16874-4ff8-4c72-9d0b-036dbe818bdc · outbound

This paper cites Gecko: Versatile Text Embeddings Distilled from Large Language Models.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 27

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Observation 10ee5516-cff1-45b8-be52-193017adfe4b · outbound

This paper cites Meta-task prompting elicits embedding from large language models.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Meta-task prompting elicits embedding from large language models

Reference 28

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Observation 6eccc694-931a-4ab0-8990-fbe6fecc8037 · outbound

This paper cites Scene graph generation: A comprehensive survey.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Scene graph generation: A comprehensive survey

Reference 29

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Observation 16d083a4-7b19-4f7e-861f-e3aa071eb484 · outbound

This paper cites Grounded language- image pre-training.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Grounded language- image pre-training

Reference 30

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Observation c291c074-5c93-4778-b7b3-73303cae886f · outbound

This paper cites An inverse scaling law for clip training.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training An inverse scaling law for clip training

Reference 31

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This paper cites Scene graph generation from objects, phrases and region captions.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Scene graph generation from objects, phrases and region captions

Reference 32

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Observation a00fbd1f-04a6-4e30-bb3a-28cd27b1015b · outbound

This paper cites Supervi- sion exists everywhere: A data efficient contrastive language- image pre-training paradigm.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Supervi- sion exists everywhere: A data efficient contrastive language- image pre-training paradigm

Reference 33

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Observation 27244eb8-92a5-4a14-9c51-e2409d99e880 · outbound

This paper cites Scaling language-image pre-training via masking.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Scaling language-image pre-training via masking

Reference 34

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This paper cites Language quantized autoencoders: Towards unsupervised text-image alignment.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Language quantized autoencoders: Towards unsupervised text-image alignment

Reference 35

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Observation 07d857dd-9ef6-473b-aeff-8efc72d12d18 · outbound

This paper cites MLLMs-Augmented Visual-Language Representation Learning.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training MLLMs-Augmented Visual-Language Representation Learning

Reference 36

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This paper cites Decoupled Weight Decay Regularization.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Decoupled Weight Decay Regularization

Reference 37

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This paper cites Slip: Self-supervision meets language-image pre- training.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Slip: Self-supervision meets language-image pre- training

Reference 38

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This paper cites Generative Representational Instruction Tuning.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Generative Representational Instruction Tuning

Reference 39

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This paper cites Docci: De- scriptions of connected and contrasting images.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Docci: De- scriptions of connected and contrasting images

Reference 40

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This paper cites Learning transferable visual models from natural language supervision.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Learning transferable visual models from natural language supervision

Reference 41

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This paper cites High-resolution image synthesis with latent diffusion models.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training High-resolution image synthesis with latent diffusion models

Reference 42

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FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning

Reference 43

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This paper cites Repetition Improves Language Model Embeddings.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Repetition Improves Language Model Embeddings

Reference 44

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This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 45

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This paper cites Crossmodal-3600: A massively multilingual multi- modal evaluation dataset.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Crossmodal-3600: A massively multilingual multi- modal evaluation dataset

Reference 46

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This paper cites Winoground: Probing vision and language models for visio- linguistic compositionality.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Winoground: Probing vision and language models for visio- linguistic compositionality

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:19.620165Z

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Observation 49222733-a491-46c9-accc-61f176f490a4 · outbound

This paper cites Stablerep: Synthetic images from text-to- image models make strong visual representation learners.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Stablerep: Synthetic images from text-to- image models make strong visual representation learners

Reference 48

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Observation 3d212d76-ad4e-4472-a9a6-86c71f9e7b44 · outbound

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FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 49

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This paper cites Multimodal few-shot learning with frozen language models.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Multimodal few-shot learning with frozen language models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:19.596000Z

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Observation ee888382-854d-4e60-8872-239e223ef6e8 · outbound

This paper cites NLLB-CLIP -- train performant multilingual image retrieval model on a budget.

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

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This paper cites Improving Text Embeddings with Large Language Models.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Improving Text Embeddings with Large Language Models

Reference 52

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Observation ef407a48-25e3-4da7-8ac7-cbc02f5c9153 · outbound

This paper cites Groupvit: Semantic segmentation emerges from text supervision.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Groupvit: Semantic segmentation emerges from text supervision

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:19.584093Z

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Observation 5ba97f96-d30f-4d48-8a22-a1c68accd075 · outbound

This paper cites Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:19.021241Z

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Observation 0d6bbb8b-f28e-4df6-b230-c09b5f4bffa4 · outbound

This paper cites Alip: Adaptive language-image pre-training with synthetic caption.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Alip: Adaptive language-image pre-training with synthetic caption

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:19.572338Z

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Observation 08a0c0fb-f71e-41cd-9394-4ac6a690eb78 · outbound

This paper cites FILIP: Fine-grained Interactive Language-Image Pre-Training.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:19.029722Z

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Observation b9688f0f-3c42-4e1c-8b41-f20410f578c1 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:19.034360Z

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Observation 6700abaa-d14e-4096-b8d4-80892ca4f79f · outbound

This paper cites Spae: Semantic pyramid autoencoder for multimodal generation with frozen llms.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Spae: Semantic pyramid autoencoder for multimodal generation with frozen llms

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:19.456970Z

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Observation 46fbb959-e44a-465c-a66f-4232af836c81 · outbound

This paper cites Lit: Zero-shot transfer with locked-image text tuning.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Lit: Zero-shot transfer with locked-image text tuning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:19.445829Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24684c16-7b27-4655-9deb-003400c7547c · outbound

This paper cites Sigmoid loss for language image pre-training.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Sigmoid loss for language image pre-training

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:19.433717Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0a8f4552-a5fc-4809-bdf8-9683dbfab0d1 · outbound

This paper cites Simple techniques for enhancing sentence embeddings in generative language models.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Simple techniques for enhancing sentence embeddings in generative language models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:19.420132Z

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Observation 688377fb-d2d8-4516-b32b-70dc64e34dc9 · outbound

This paper cites Long-clip: Unlocking the long-text capability of clip.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Long-clip: Unlocking the long-text capability of clip

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:19.406652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d5678b42-79b4-4865-aee6-2f0a69950a5f · outbound

This paper cites Dreamlip: Language- image pre-training with long captions.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Dreamlip: Language- image pre-training with long captions

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:19.394875Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31db733f-781e-4cc3-a199-1dcc8e19c9c8 · outbound

This paper cites Beyond text: Frozen large language models in visual signal comprehension.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training Beyond text: Frozen large language models in visual signal comprehension

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:19.382821Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bbb638db-a5df-4c67-a476-1f77e401f0d7 · outbound

This paper cites yi”. After thinking step by step, the category of the main object in this image means in just one word:.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training yi”. After thinking step by step, the category of the main object in this image means in just one word:

Reference 65

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T18:38:19.370466Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation dccbc202-eb71-431c-a90a-e929ada7b54e · inbound

Magic-MM-Embedding: Towards Visual-Token-Efficient Universal Multimodal Embedding with MLLMs cites this paper.

Magic-MM-Embedding: Towards Visual-Token-Efficient Universal Multimodal Embedding with MLLMs FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T04:20:50.578691Z

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