CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance | Paper Citation Record

Observation 91946815-836d-4d45-a606-ecccd9ecf1eb · outbound

This paper cites Contrastive learning of medical visual representations from paired images and text,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Contrastive learning of medical visual representations from paired images and text,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.090553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aea3cd7-3cae-4250-8527-1152206ae3ee · outbound

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

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Learning transferable visual models from natural language supervision,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.095675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdbee442-6410-4f1b-8cf0-00cf44c82418 · outbound

This paper cites Vlmo: Unified vision-language pre-training with mixture-of-modality-experts,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Vlmo: Unified vision-language pre-training with mixture-of-modality-experts,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:01.049391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ad94a0b6-cecf-40c4-8f46-45737d4c9243 · outbound

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

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.104843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca36181f-c706-41ec-8116-a6c34923517b · outbound

This paper cites ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.109020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7c8122b-57ed-4cea-843a-0ee1e67cef29 · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Reproducible scaling laws for contrastive language-image learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:01.029833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e5845aab-7b1b-41e8-a85d-afd68ca91055 · outbound

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

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Scaling language- image pre-training via masking,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.117928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ca70f1a-34ae-4d63-b0f3-1b88000e0dfe · outbound

This paper cites An inverse scaling law for clip training,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance An inverse scaling law for clip training,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:01.010717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8e6cf8b0-f751-40e8-b4c1-fb9357e61d26 · outbound

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

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.998963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6b4bbdfb-7b62-4e36-b559-e21730856a97 · outbound

This paper cites Too large; data reduction for vision-language pre-training,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Too large; data reduction for vision-language pre-training,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.988030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e8eba59-80c7-4892-879a-b7070098a7dc · outbound

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

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Slip: Self-supervision meets language-image pre-training,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.977198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e8482758-cd0d-4f74-9b3f-87a6816d2436 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.138881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88ca24f7-999f-4835-b6c1-ac0fa8ddc1f8 · outbound

This paper cites Microsoft coco: Common objects in context,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Microsoft coco: Common objects in context,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.142872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20bf84cc-3960-46ff-b846-cb466ae9e1dc · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image cap- tioning,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image cap- tioning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.147060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89f84f21-96d0-47ff-9ca2-a5aa5a72519c · outbound

This paper cites Image as a foreign language: Beit pretraining for vision and vision-language tasks,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Image as a foreign language: Beit pretraining for vision and vision-language tasks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.941175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 236d816a-d82f-4d93-9908-254da5e0ef32 · outbound

This paper cites The crucial role of data collection in research: Techniques, challenges, and best practices,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance The crucial role of data collection in research: Techniques, challenges, and best practices,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.924510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8288412d-19ea-4192-9e22-fd875dd932ea · outbound

This paper cites Tinyclip: Clip distillation via affinity mimicking and weight inheritance,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Tinyclip: Clip distillation via affinity mimicking and weight inheritance,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.911260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 512d4a61-f85b-45fc-934b-32f5880b9690 · outbound

This paper cites Clip-kd: An empirical study of clip model distillation,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Clip-kd: An empirical study of clip model distillation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.163378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d795658-3725-4daa-b2ad-9e4431d2f4cd · outbound

This paper cites Mobileclip: Fast image-text models through multi-modal reinforced training,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Mobileclip: Fast image-text models through multi-modal reinforced training,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.167013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abced0f7-245b-4d67-89f8-3de1d07393e5 · outbound

This paper cites ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:06:00.470348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 11b0426b-1949-4225-a587-212e3adc196a · outbound

This paper cites CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.174773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98bb1143-be61-4147-842b-fc4dcc342547 · outbound

This paper cites Module-wise adaptive distillation for multimodality foun- dation models,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Module-wise adaptive distillation for multimodality foun- dation models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.880132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 64a7479b-8a93-41b1-b089-879819650dfe · outbound

This paper cites Self-supervised co-training for video representation learning,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Self-supervised co-training for video representation learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.867734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a58589fe-c8c8-4090-a7e6-35ce51f73929 · outbound

This paper cites Improving generalization via scalable neighborhood component analysis,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Improving generalization via scalable neighborhood component analysis,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.854101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 94da781f-6637-4cea-8bb5-9e987f1f8841 · outbound

This paper cites With a little help from my friends: Nearest-neighbor contrastive learning of visual representations,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance With a little help from my friends: Nearest-neighbor contrastive learning of visual representations,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.190524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1190b91c-0203-492d-ad08-ee158f2b05a1 · outbound

This paper cites Promoting semantic connectivity: Dual nearest neighbors contrastive learning for unsupervised domain generalization,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Promoting semantic connectivity: Dual nearest neighbors contrastive learning for unsupervised domain generalization,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.833909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 026e746f-b4b5-41f5-aeef-8fa9ecbd9c5b · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Imagenet: A large-scale hierarchical image database,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.197171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c06e4be7-ac28-48c5-8350-0831648a41c9 · outbound

This paper cites From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.200851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a203864-f0f4-446b-8b9f-f7c74ca00559 · outbound

This paper cites Vision-language models for vision tasks: A survey,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Vision-language models for vision tasks: A survey,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.204377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1db178b-18c5-4aab-af74-5a9d5e858327 · outbound

This paper cites A Survey of Vision-Language Pre-Trained Models.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance A Survey of Vision-Language Pre-Trained Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.207800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8bb8222-28f2-4be0-a75b-cea192dc845b · outbound

This paper cites Vlp: A survey on vision-language pre-training,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Vlp: A survey on vision-language pre-training,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.211525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90cd535b-2824-4fe1-ad29-2685a4b6ed02 · outbound

This paper cites Self- supervised learning of visual features through embedding images into text topic spaces,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Self- supervised learning of visual features through embedding images into text topic spaces,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.784451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac14d9e5-3188-4772-9bff-50f865e083a9 · outbound

This paper cites Beyond instance-level image retrieval: Lever- aging captions to learn a global visual representation for semantic retrieval,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Beyond instance-level image retrieval: Lever- aging captions to learn a global visual representation for semantic retrieval,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.771795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2b30d2c5-aa1d-4108-b940-11841b3b8923 · outbound

This paper cites Learning visual n-grams from web data,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Learning visual n-grams from web data,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.759054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0b009b12-0821-4b51-aea5-1e57736515ff · outbound

This paper cites Virtex: Learning visual representations from textual annotations,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Virtex: Learning visual representations from textual annotations,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.223160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f330f13-f532-4857-a9cc-48442ff3b788 · outbound

This paper cites Learning visual representa- tions with caption annotations,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Learning visual representa- tions with caption annotations,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.226288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 925d989d-082b-43e3-b996-21cc8e9798e9 · outbound

This paper cites Combined scaling for zero-shot transfer learning,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Combined scaling for zero-shot transfer learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.724957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 156132af-75b2-4825-9262-f41f3e8c6ad6 · outbound

This paper cites SimVLM: Simple visual language model pretraining with weak supervision,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance SimVLM: Simple visual language model pretraining with weak supervision,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.714698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b52c001c-90ff-4127-9a22-83093896cc27 · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Florence: A New Foundation Model for Computer Vision

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.234692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 063d9e71-4045-4488-9ea2-588180f339e7 · outbound

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

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Lit: Zero-shot transfer with locked-image text tuning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.704730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a5d540bb-1243-4d9e-bab9-45b2237b970a · outbound

This paper cites Compressing visual-linguistic model via knowledge distillation,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Compressing visual-linguistic model via knowledge distillation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.693660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3ca00690-42f1-4dff-b713-28007b1779d7 · outbound

This paper cites Distilling large vision-language model with out-of-distribution generalizability,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Distilling large vision-language model with out-of-distribution generalizability,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.683490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d168bf67-5684-46a2-901a-3d40d0ec970d · outbound

This paper cites Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.248566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96d6f81d-acd0-499d-a518-27fd20d71bc7 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Representation Learning with Contrastive Predictive Coding

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.252477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38f597db-d92e-4f1d-8958-428760d598e7 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Pytorch: An imperative style, high-performance deep learning library,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.256071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4209112-e2f7-4097-bd4b-46c69d80807a · outbound

This paper cites Pytorch image models,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Pytorch image models,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.259290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a61defe-dde8-4b7c-ba72-7e3c30db0a81 · outbound

This paper cites MobileBERT: a compact task-agnostic BERT for resource-limited devices,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance MobileBERT: a compact task-agnostic BERT for resource-limited devices,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.661894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6e400ef1-71af-4e03-a2d6-8db114ad7506 · outbound

This paper cites A convnet for the 2020s,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance A convnet for the 2020s,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.266138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fb58ed0-7f95-4fb1-af0a-cd1c801b0c5e · outbound

This paper cites MobileNetV4 -- Universal Models for the Mobile Ecosystem.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.269384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b26d086a-b239-4fbb-a27d-2f4f475085da · outbound

This paper cites Big transfer (bit): General visual representation learning,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Big transfer (bit): General visual representation learning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.645346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01984534-8d08-4e14-a204-b54f5b76e920 · outbound

This paper cites Identity mappings in deep residual networks,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Identity mappings in deep residual networks,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.276429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53c711ba-8155-49c4-9ca8-549a181a1cf7 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.279965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9528bc2e-a8cb-414b-99a2-83d8f1c54636 · outbound

This paper cites Decoupled weight decay regularization,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Decoupled weight decay regularization,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.283293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 037f5969-2b5b-4763-bf50-9e497fe88522 · outbound

This paper cites Algorithm 799: revolve: an implementa- tion of checkpointing for the reverse or adjoint mode of computational differentiation,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Algorithm 799: revolve: an implementa- tion of checkpointing for the reverse or adjoint mode of computational differentiation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.619079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 49120462-847a-42d0-8b3d-9e0d85a1b312 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Training Deep Nets with Sublinear Memory Cost

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.289929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd24f8c8-fb05-4cb6-b22d-7cc28335a625 · outbound

This paper cites Mixed precision training,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Mixed precision training,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.608386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cc95b177-27c6-41dc-b72e-b3cf8d6e0854 · outbound

This paper cites An analysis of single-layer networks in unsupervised feature learning,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance An analysis of single-layer networks in unsupervised feature learning,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.296954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7bee03e-4e57-4228-983c-ec90e8a1a218 · outbound

This paper cites Learning multiple layers of features from tiny images,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Learning multiple layers of features from tiny images,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.591862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fd03d16d-6366-4ec8-aa8f-172ff09cee95 · outbound

This paper cites Human action recognition by learning bases of action attributes and 14 parts,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Human action recognition by learning bases of action attributes and 14 parts,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.581109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a80240a3-fbb7-4a3f-93cf-be9ac967d8a6 · outbound

This paper cites Do imagenet clas- sifiers generalize to imagenet?.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Do imagenet clas- sifiers generalize to imagenet?

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.571263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation aefd8b45-d5df-49b4-a8e9-d8c3b99f703a · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance The many faces of robustness: A critical analysis of out-of-distribution generalization,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.310953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 539b9788-7af3-40cf-b5e9-16ba2ea8a00c · outbound

This paper cites Natural adversarial examples,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Natural adversarial examples,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.314256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e797959-6474-4019-ab3c-9e05e8030a02 · outbound

This paper cites Learning robust global representations by penalizing local predictive power,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Learning robust global representations by penalizing local predictive power,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.549967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f2ac2cc0-e8e2-44a5-81a3-e69ae3f039d5 · outbound

This paper cites Cats and dogs,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Cats and dogs,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.320891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1449af8-2a7c-4dec-87dd-f55bcb7359df · outbound

This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.323621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29563316-e331-4aa3-80d8-a946108cc0d1 · outbound

This paper cites Automated flower classification over a large number of classes,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Automated flower classification over a large number of classes,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.326785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 098783a8-9ee8-4094-be52-00cd110e5e21 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Fine-Grained Visual Classification of Aircraft

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.329530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ba57d51-3a69-41aa-8b41-9e61daa0cb44 · outbound

This paper cites Food-101–mining discriminative components with random forests,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Food-101–mining discriminative components with random forests,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.333125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c08a64fc-c9f0-4911-a6e4-b56e013a7d3f · outbound

This paper cites Describing textures in the wild,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Describing textures in the wild,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.335701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52fe8b59-0b0e-4a61-a699-08119d0c2d7e · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Sun database: Large-scale scene recognition from abbey to zoo,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.338608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cc371d4-12f0-41b8-b9c9-5bb66dc9ef3f · outbound

This paper cites Collecting a large-scale dataset of fine-grained cars,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Collecting a large-scale dataset of fine-grained cars,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.341399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de58c476-3a39-4ef7-a0a4-50997fcf47cc · outbound

This paper cites 3d object representations for fine-grained categorization,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance 3d object representations for fine-grained categorization,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.344080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51ec20a6-c923-4b42-b048-a8bdd9703bae · outbound

This paper cites Adam: A Method for Stochastic Optimization.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Adam: A Method for Stochastic Optimization

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.347067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 470a26e8-36c3-46ed-a93a-cf747da79d27 · outbound

This paper cites Knowledge distillation: A good teacher is patient and consistent,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Knowledge distillation: A good teacher is patient and consistent,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.350128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0a7247d-e83d-4c79-ab06-b97a3876c7fa · outbound

This paper cites The efficiency misnomer,.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance The efficiency misnomer,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:00.490177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers