Paper Citation Record · LEDGER

A Mixed Diet Makes DINO An Omnivorous Vision Encoder

As of 7 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2602.24181.

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

pith.paper-citation-record.v1
2602.24181 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:08:37.081122Z

measured 60 of 60 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:26:05.863088Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c4ab06af-d80b-43ad-b20b-0c1606faffcb · outbound

This paper cites Cross-modal knowledge transfer with- out task-relevant source data.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Cross-modal knowledge transfer with- out task-relevant source data

Reference 1

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Observation 8337e498-d7f6-46d1-80fb-168fed035c23 · outbound

This paper cites Unsupervised Neural Machine Translation.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Unsupervised Neural Machine Translation

Reference 2

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Observation 87450015-f6e0-48e8-81d4-8e17c0afda7f · outbound

This paper cites Spatial-aware multi-modal contrastive learning for rgb-d salient object detection and beyond.Information Fu- sion, 124:103362, 2025.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Spatial-aware multi-modal contrastive learning for rgb-d salient object detection and beyond.Information Fu- sion, 124:103362, 2025

Reference 3

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Observation 25366554-0a3c-4f89-babb-8ed9002b7ef8 · outbound

This paper cites Vision transformer adapter for dense predictions.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Vision transformer adapter for dense predictions

Reference 4

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Observation dd4ff651-bd10-434a-bb51-03bc4d41b3bf · outbound

This paper cites Cross-lingual language model pretraining.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Cross-lingual language model pretraining

Reference 5

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Observation 2ff1759f-c074-46d3-bba3-6639daf7900d · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder The cityscapes dataset for semantic urban scene understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:30.947765Z

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Observation 8ed312dc-7786-4b06-840c-ab7bc87926ce · outbound

This paper cites Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner

Reference 7

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Observation 2e30d775-d470-487c-b598-d986855a9386 · outbound

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

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Imagenet: A large-scale hierarchical image database

Reference 8

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Observation 5d66bcf7-42a1-4d9f-8240-5af0f7359d51 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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Observation c5ae598b-dace-45bd-a301-e1d81f1c2dd3 · outbound

This paper cites Prob- ing the 3d awareness of visual foundation models.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Prob- ing the 3d awareness of visual foundation models

Reference 10

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Observation e50ec73d-b83a-4dfd-bb27-81ed5ce0a388 · outbound

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Unresolved cited work

Reference 11

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Observation 1a616629-3c03-400f-a5a4-a225eed41a79 · outbound

This paper cites Dantas, Luigi Di Caro, and Dino Ienco.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Dantas, Luigi Di Caro, and Dino Ienco

Reference 12

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Observation 3d9796c5-70c2-40cc-8fae-093a3350f685 · outbound

This paper cites Omnivore: A sin- gle model for many visual modalities.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Omnivore: A sin- gle model for many visual modalities

Reference 13

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Observation 16caaca9-e0e0-4378-9ead-8777f5240bee · outbound

This paper cites Imagebind: One embedding space to bind them all.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Imagebind: One embedding space to bind them all

Reference 14

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Observation 0430cd56-7cd2-43ac-9a1c-b9c760a384b3 · outbound

This paper cites Kubric: A scalable dataset generator.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Kubric: A scalable dataset generator

Reference 15

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Observation ca389ea4-af40-43d4-b0df-81fd717e6464 · outbound

This paper cites The inaturalist species classification and de- tection dataset, 2018.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder The inaturalist species classification and de- tection dataset, 2018

Reference 16

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Observation 5164ff88-437f-4b49-aa13-68df61fb520d · outbound

This paper cites Mask3d: Pre-training 2d vision transformers by learning masked 3d priors.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Mask3d: Pre-training 2d vision transformers by learning masked 3d priors

Reference 17

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Observation ee0bce46-934b-49b8-9e5e-2c66ec09a7ae · outbound

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Unresolved cited work

Reference 18

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Observation 97db1390-e301-4fd5-8b3e-f2efcbc898e9 · outbound

This paper cites Perceiver: General perception with iterative attention.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Perceiver: General perception with iterative attention

Reference 19

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Observation 6671bdda-1c2a-42b2-a91b-972cd4a78c3e · outbound

This paper cites Perceiver io: A general architecture for structured inputs & outputs.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Perceiver io: A general architecture for structured inputs & outputs

Reference 20

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Observation 2798e5b0-21d4-4a04-82ad-9547018b9250 · outbound

This paper cites Multi- modal contrastive masked autoencoders: A two-stage pro- gressive pre-training approach for rgbd datasets.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Multi- modal contrastive masked autoencoders: A two-stage pro- gressive pre-training approach for rgbd datasets

Reference 21

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Observation 5ec8fcf5-6cf6-4a93-9a34-031a93a3478a · outbound

This paper cites NA VI: Category- agnostic image collections with high-quality 3d shape and pose annotations.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder NA VI: Category- agnostic image collections with high-quality 3d shape and pose annotations

Reference 22

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Observation 61ee9790-a290-42f8-8b0b-0bb3c7f049b2 · outbound

This paper cites Google’s multilin- gual neural machine translation system: Enabling zero-shot translation.Transactions of the Association for Computa- tional Linguistics, 5:339–351, 2017.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Google’s multilin- gual neural machine translation system: Enabling zero-shot translation.Transactions of the Association for Computa- tional Linguistics, 5:339–351, 2017

Reference 23

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Observation d9c4ac43-32b2-4787-be04-dec9c2a3990f · outbound

This paper cites Dy- namicstereo: Consistent dynamic depth from stereo videos.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Dy- namicstereo: Consistent dynamic depth from stereo videos

Reference 24

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Observation 0a1a3d9e-8086-48e5-a333-a02f7ebc0192 · outbound

This paper cites The retinex theory of color vision.Scientific american, 237(6):108–129, 1977.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder The retinex theory of color vision.Scientific american, 237(6):108–129, 1977

Reference 25

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Observation e1432e4b-0683-4e69-8da3-9333f4171661 · outbound

This paper cites Uni-perceiver v2: A gener- alist model for large-scale vision and vision-language tasks.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Uni-perceiver v2: A gener- alist model for large-scale vision and vision-language tasks

Reference 26

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Observation 5d3ec7a5-afc6-4820-b6b4-f0ef02907c10 · outbound

This paper cites A closer look at invari- ances in self-supervised pre-training for 3d vision.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder A closer look at invari- ances in self-supervised pre-training for 3d vision

Reference 27

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Observation fb6cb484-e8a5-4128-bb06-8ee3e802567b · outbound

This paper cites Contrastive multimodal fu- sion with tupleinfonce.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Contrastive multimodal fu- sion with tupleinfonce

Reference 28

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Observation f3f26e30-4f9f-4409-8da9-3357437d0aa7 · outbound

This paper cites Unified-io: A unified model for vision, language, and multi-modal tasks.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Unified-io: A unified model for vision, language, and multi-modal tasks

Reference 29

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Observation fdd3495c-84d2-415b-90d9-0608da5c4d5d · outbound

This paper cites Unified-io 2: Scaling autoregressive multimodal models with vision, language, au- dio, and action.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Unified-io 2: Scaling autoregressive multimodal models with vision, language, au- dio, and action

Reference 30

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Ma-avt: Modality alignment for parameter-efficient audio-visual transformers

Reference 31

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Observation 3da60b0b-60dc-48c2-ad4c-f9f728d08e14 · outbound

This paper cites TIPS: Text-Image Pretraining with Spatial Awareness.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder TIPS: Text-Image Pretraining with Spatial Awareness

Reference 32

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Observation 22915d5d-f162-468f-97c7-c25a476610ac · outbound

This paper cites Large scale visual food recognition, 2023.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Large scale visual food recognition, 2023

Reference 33

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Observation 76aa84be-f5b1-43d5-807d-f843558942bf · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Indoor segmentation and support inference from rgbd images

Reference 34

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This paper cites Representation Learning with Contrastive Predictive Coding.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Representation Learning with Contrastive Predictive Coding

Reference 35

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Observation 35fb48d8-d0de-4cac-aedb-d14e65b7b7ce · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder DINOv2: Learning Robust Visual Features without Supervision

Reference 36

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Observation f7fc82de-f603-4121-bd3d-4a0c1d2109e1 · outbound

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Unresolved cited work

Reference 37

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Observation 480bfd97-0bbd-40dc-81ab-ec8f7f0b74a1 · outbound

This paper cites RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification

Reference 38

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Susskind

Reference 39

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Observation 365c19e4-0773-4a3f-b6b5-6ef3e941f089 · outbound

This paper cites Deep metric learning via lifted structured feature embedding.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Deep metric learning via lifted structured feature embedding

Reference 40

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Sun rgb-d: A rgb-d scene understanding benchmark suite

Reference 41

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This paper cites Sequence to sequence learning with neural networks.Advances in neural information processing systems, 27, 2014.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Sequence to sequence learning with neural networks.Advances in neural information processing systems, 27, 2014

Reference 42

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Gemini: A Family of Highly Capable Multimodal Models

Reference 43

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Observation 5f664293-6f23-4dd1-bf2e-4f0d2d212d04 · outbound

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Con- trastive multiview coding

Reference 44

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Observation 1681d64c-8b23-4c4c-bf47-babf2893dc67 · outbound

This paper cites Normalized object coordinate space for category-level 6d object pose and size estimation.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Normalized object coordinate space for category-level 6d object pose and size estimation

Reference 45

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Tartanair: A dataset to push the limits of visual slam

Reference 46

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Weyand, A

Reference 47

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Comae: Single model hybrid pre-training on small-scale rgb- d datasets

Reference 48

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Observation 785f0218-45dc-4b6e-ab92-39cd0664e0e7 · outbound

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Pace: A large-scale dataset with pose annotations in cluttered environments

Reference 49

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Observation e6dd3706-ec9e-4d8e-ac9d-df4bd1bc832f · outbound

This paper cites Colour coding in the cerebral cortex: the re- action of cells in monkey visual cortex to wavelengths and colours.Neuroscience, 9(4):741–765, 1983.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Colour coding in the cerebral cortex: the re- action of cells in monkey visual cortex to wavelengths and colours.Neuroscience, 9(4):741–765, 1983

Reference 50

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This paper cites mixup: Beyond Empirical Risk Minimization.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder mixup: Beyond Empirical Risk Minimization

Reference 51

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Observation fc53afc7-2eff-4a24-9b8a-b2cbcf37a4fa · outbound

This paper cites Towards uni- fied representation of invariant-specific features in missing modality face anti-spoofing.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Towards uni- fied representation of invariant-specific features in missing modality face anti-spoofing

Reference 52

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This paper cites Harley, Bokui Shen, Gordon Wet- zstein, and Leonidas J.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Harley, Bokui Shen, Gordon Wet- zstein, and Leonidas J

Reference 53

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Observation 317d2e0e-b118-4918-9c21-643498c476d2 · outbound

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder Scene parsing through ade20k dataset

Reference 54

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This paper cites Uni-perceiver: Pre- training unified architecture for generic perception for zero- shot and few-shot tasks.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Uni-perceiver: Pre- training unified architecture for generic perception for zero- shot and few-shot tasks

Reference 55

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Observation 0f7420b6-2b16-4fe2-b906-a34b0aa257d6 · outbound

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A Mixed Diet Makes DINO An Omnivorous Vision Encoder hard positives

Reference 56

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Observation 348b6eb6-ac4b-4168-b6ce-5b7b9f1edb3e · outbound

This paper cites Diagnostic Metrics Expanding on Fig 1, we report detailed cross-modal align- ment and cross-scene discernibility metrics before and after Omnivorous training.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder Diagnostic Metrics Expanding on Fig 1, we report detailed cross-modal align- ment and cross-scene discernibility metrics before and after Omnivorous training

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:37.017386Z

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Observation f6d5bc12-02c1-4944-ae0a-466b3145fa14 · outbound

This paper cites adapter-on-top.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder adapter-on-top

Reference 59

Resolution: malformed identifier; no resolver link, observed 2026-08-02T20:08:37.081122Z

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Observation c88de4cb-0312-4d6f-8f0b-da5019cc5023 · outbound

This paper cites pad- to-patch.

A Mixed Diet Makes DINO An Omnivorous Vision Encoder pad- to-patch

Reference 2048

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:36.925825Z

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Pith citing papers

Observation bfd85a2f-f3b8-4892-abda-a9fe302d48cb · inbound

Depth-Regularized JEPA World Models Learn More Transferable Representations from Real Outdoor Robot Data cites this paper.

Depth-Regularized JEPA World Models Learn More Transferable Representations from Real Outdoor Robot Data A Mixed Diet Makes DINO An Omnivorous Vision Encoder

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T05:26:05.863088Z

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