Paper Citation Record · LEDGER

DataComp: In search of the next generation of multimodal datasets

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2304.14108.

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

pith.paper-citation-record.v1
2304.14108 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:34:53.468171Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

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External citation measurements

74
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 53e4f70b-9858-4a6d-889c-4aa69b2da6f1 · inbound

Objaverse-XL: A Universe of 10M+ 3D Objects cites this paper.

Objaverse-XL: A Universe of 10M+ 3D Objects DataComp: In search of the next generation of multimodal datasets

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:02:11.604349Z

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Observation 5b0763c5-fe42-473d-ae4b-031e297c053a · inbound

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation cites this paper.

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation DataComp: In search of the next generation of multimodal datasets

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:30:22.712246Z

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Observation b7853a04-19fe-49b5-bcb6-5fa3b35955f9 · inbound

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models cites this paper.

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models DataComp: In search of the next generation of multimodal datasets

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:52:01.415728Z

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Observation 50537838-c88e-44dd-add6-32810a4947d5 · inbound

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration cites this paper.

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration DataComp: In search of the next generation of multimodal datasets

Reference 18

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Observation dbd967c6-4515-481d-8b9a-4f0905432019 · inbound

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

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions DataComp: In search of the next generation of multimodal datasets

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:12.842273Z

Source-reported events for the cited work

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Observation 16a27061-3fdc-4a50-b658-94fc2332560b · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models DataComp: In search of the next generation of multimodal datasets

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:58:16.961906Z

Source-reported events for the cited work

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Observation 26e6ffb9-7845-4953-af59-dcce8109799e · inbound

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models cites this paper.

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models DataComp: In search of the next generation of multimodal datasets

Reference 211

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:20:36.377313Z

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Observation 46aae501-ac6a-4601-a235-b9969bd1f334 · inbound

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

jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images DataComp: In search of the next generation of multimodal datasets

Reference 2023

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Observation 4e3bda14-adab-4da1-99bc-5aef939eb0d6 · inbound

FastVLM: Efficient Vision Encoding for Vision Language Models cites this paper.

FastVLM: Efficient Vision Encoding for Vision Language Models DataComp: In search of the next generation of multimodal datasets

Reference 27

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Observation fa64068f-00f8-4ec1-990d-c6e4c2d63e7e · inbound

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey cites this paper.

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey DataComp: In search of the next generation of multimodal datasets

Reference 127

Resolution: unresolved; no resolver link, observed 2026-08-11T14:59:01.673140Z

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Observation 7dc61a48-3420-4b62-82db-fccc3d0d19ae · inbound

LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models cites this paper.

LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models DataComp: In search of the next generation of multimodal datasets

Reference 17

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Observation 30ac765f-d39d-43fa-9d45-b57bc71a3f6f · inbound

FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding cites this paper.

FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding DataComp: In search of the next generation of multimodal datasets

Reference 18

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Observation c957d152-6d94-4247-b56b-21a7ecc89e37 · inbound

Position: The Most Expensive Part of an LLM should be its Training Data cites this paper.

Position: The Most Expensive Part of an LLM should be its Training Data DataComp: In search of the next generation of multimodal datasets

Reference 14

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Observation 01858a9a-0c1a-4c10-9b5b-b5316d65ceee · inbound

SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models cites this paper.

SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models DataComp: In search of the next generation of multimodal datasets

Reference 20

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Observation a37584e8-29ff-4584-abae-b57acb129cfd · inbound

OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning cites this paper.

OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning DataComp: In search of the next generation of multimodal datasets

Reference 15

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Observation 13386499-bd3b-45c4-a6cd-e137f993a7f3 · inbound

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning cites this paper.

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning DataComp: In search of the next generation of multimodal datasets

Reference 27

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Observation aadfe9c0-a28f-4092-b195-fc2eae3e4cd4 · inbound

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment cites this paper.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment DataComp: In search of the next generation of multimodal datasets

Reference 29

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Observation e6df2df8-30ed-41f0-b903-f650583f6d3b · inbound

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence DataComp: In search of the next generation of multimodal datasets

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:34:36.875949Z

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Observation 38170498-c1f5-4e46-8004-1602482eff3c · inbound

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence DataComp: In search of the next generation of multimodal datasets

Reference 26

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Observation fceae8d0-9b28-4509-a9a7-255461e1da22 · inbound

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences cites this paper.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences DataComp: In search of the next generation of multimodal datasets

Reference 15

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Observation 1a413808-640f-485c-a0d7-4112960d33e7 · inbound

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems cites this paper.

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems DataComp: In search of the next generation of multimodal datasets

Reference 22

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Observation 28da12cc-c86a-4b77-a6b4-f5ab6e92c7cb · inbound

An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models cites this paper.

An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models DataComp: In search of the next generation of multimodal datasets

Reference 12

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Observation 12352945-800f-405c-90d6-e72bb1f3bac9 · inbound

Ambient Diffusion Omni: Training Good Models with Bad Data cites this paper.

Ambient Diffusion Omni: Training Good Models with Bad Data DataComp: In search of the next generation of multimodal datasets

Reference 24

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Observation 8ca22854-6d9e-43e6-a931-eeb949699ba6 · inbound

CLIP-like Model as a Foundational Density Ratio Estimator cites this paper.

CLIP-like Model as a Foundational Density Ratio Estimator DataComp: In search of the next generation of multimodal datasets

Reference 11

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Observation 6823ab5d-aa99-4459-8da0-55367a9087ae · inbound

MobileCLIP2: Improving Multi-Modal Reinforced Training cites this paper.

MobileCLIP2: Improving Multi-Modal Reinforced Training DataComp: In search of the next generation of multimodal datasets

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-05T14:59:19.528028Z

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Observation 98faa756-30e0-4b35-a4e4-807594854e0b · inbound

OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning cites this paper.

OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning DataComp: In search of the next generation of multimodal datasets

Reference 16

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Observation ba5b2e99-95be-4cbb-8b2c-e65ec2e8cb55 · inbound

QuiLL: An LLM-Based Vulnerability Assessment Framework for the Wild cites this paper.

QuiLL: An LLM-Based Vulnerability Assessment Framework for the Wild DataComp: In search of the next generation of multimodal datasets

Reference 50

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 36a23a66-588a-4566-86fd-137999944328 · inbound

MixAtlas: Uncertainty-aware Data Mixture Optimization for Multimodal LLM Midtraining cites this paper.

MixAtlas: Uncertainty-aware Data Mixture Optimization for Multimodal LLM Midtraining DataComp: In search of the next generation of multimodal datasets

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:08:12.623943Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 354b2574-26db-433b-b021-4ab0150da4c1 · inbound

Prior-Aligned Data Cleaning for Tabular Foundation Models cites this paper.

Prior-Aligned Data Cleaning for Tabular Foundation Models DataComp: In search of the next generation of multimodal datasets

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:31:17.041197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 44239207-3e69-40cd-b826-4e2a54fcd34f · inbound

From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint cites this paper.

From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint DataComp: In search of the next generation of multimodal datasets

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:31:12.927636Z

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Observation dd4dc2db-6d56-4ac3-be94-13ed77e75d64 · inbound

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs cites this paper.

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs DataComp: In search of the next generation of multimodal datasets

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:11:15.568450Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb96e050-6f1b-4a26-8252-11400aca9b15 · inbound

ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison cites this paper.

ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison DataComp: In search of the next generation of multimodal datasets

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:39:53.732465Z

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Observation cc80062b-c6f6-46c5-be8d-15b48b4c6989 · inbound

ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison cites this paper.

ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison DataComp: In search of the next generation of multimodal datasets

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:04:58.323685Z

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Observation bffc5f5e-6bfb-4ee6-a4e5-d39898cd29a4 · inbound

GPIC: A Giant Permissive Image Corpus for Visual Generation cites this paper.

GPIC: A Giant Permissive Image Corpus for Visual Generation DataComp: In search of the next generation of multimodal datasets

Reference 15

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Observation 7fab5c0d-92cc-4308-b2b2-1ece77cb957d · inbound

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory DataComp: In search of the next generation of multimodal datasets

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:46:55.266557Z

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Observation 8becee99-1461-4517-9165-db60f18cc0b9 · inbound

Instrumented data for causal scientific machine learning cites this paper.

Instrumented data for causal scientific machine learning DataComp: In search of the next generation of multimodal datasets

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-27T22:31:21.232799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 02ffbe7a-5687-4cdd-a96d-6257e73f5924 · inbound

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation cites this paper.

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation DataComp: In search of the next generation of multimodal datasets

Reference 59

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Observation 1ed58a5c-454a-49fe-9e34-bd224feed00c · inbound

TuringViT: Making SOTA Vision Transformers Accessible to All cites this paper.

TuringViT: Making SOTA Vision Transformers Accessible to All DataComp: In search of the next generation of multimodal datasets

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:29:57.904493Z

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Observation 60f42309-0369-402a-a0f7-a289360b21fd · inbound

TuringViT: Making SOTA Vision Transformers Accessible to All cites this paper.

TuringViT: Making SOTA Vision Transformers Accessible to All DataComp: In search of the next generation of multimodal datasets

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:03:32.239700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06c80a0a-6a21-4901-9a71-0ac0cf997d2b · inbound

MIRAGE: Protecting against Malicious Image Editing via False Moderation cites this paper.

MIRAGE: Protecting against Malicious Image Editing via False Moderation DataComp: In search of the next generation of multimodal datasets

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:09:54.596740Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad1a47ec-70b8-44bb-9cfa-7ce7b22c1616 · inbound

MIRAGE: Protecting against Malicious Image Editing via False Moderation cites this paper.

MIRAGE: Protecting against Malicious Image Editing via False Moderation DataComp: In search of the next generation of multimodal datasets

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:13:53.521084Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 64f9987d-9b2e-495e-97c9-e375d3f97e63 · inbound

RADIO1D: Elastic Representations for Condensed Vision Modeling cites this paper.

RADIO1D: Elastic Representations for Condensed Vision Modeling DataComp: In search of the next generation of multimodal datasets

Reference 35

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Observation 139999be-369b-4d71-8716-c21c3f3d0e95 · inbound

Qwen-Audio-VAE Technical Report cites this paper.

Qwen-Audio-VAE Technical Report DataComp: In search of the next generation of multimodal datasets

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:19.309532Z

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Observation cf286f86-7e59-4e71-9d37-597deed39d0f · inbound

RSIBench-Data: Benchmarking Data-Centric Research for Recursive Self-Improvement cites this paper.

RSIBench-Data: Benchmarking Data-Centric Research for Recursive Self-Improvement DataComp: In search of the next generation of multimodal datasets

Reference 3

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Observation 96d3de4c-1eb1-4273-ba32-125730c3fefc · inbound

Gaze Behavior in Visual World Experiments Can be Modeled With Off-the-shelf Language-Vision Encoders cites this paper.

Gaze Behavior in Visual World Experiments Can be Modeled With Off-the-shelf Language-Vision Encoders DataComp: In search of the next generation of multimodal datasets

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T11:09:10.532529Z

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Unavailable: canonical work link unavailable.