Paper Citation Record · LEDGER

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

As of 23 August 2026, this Paper Citation Record lists 100 of 120 outbound references and 12 inbound Pith citation observations for arXiv:2505.19650.

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

pith.paper-citation-record.v1
2505.19650 v2

Coverage vector

measured 100 of 120 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:46.090733Z

measured 112 of 112 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:30:14.559722Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:49:36.602258Z

Reference resolution

100 of 120 outbound references displayed

verified exact0
verified fuzzy22
unresolved78
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d25bdf05-a782-4319-83d6-0091c3fc8af7 · outbound

This paper cites Multimodal automated fact-checking: A survey.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Multimodal automated fact-checking: A survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:37.135801Z

Source-reported events for the cited work

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Observation 62a061c5-05f1-48aa-9003-4f4ff0a5f489 · outbound

This paper cites Localizing moments in video with natural language.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Localizing moments in video with natural language

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:37.194753Z

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Observation 1880f482-8f26-4197-a149-8fc3aa7ba92d · outbound

This paper cites Vqa: Visual question answering.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Vqa: Visual question answering

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:37.236558Z

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Observation 613f3f9a-f2c5-4326-be34-a86460cd5d22 · outbound

This paper cites FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:37.333584Z

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Observation 47fa31f2-a075-4f07-b00d-96c42d4efb7c · outbound

This paper cites Qwen2.5-VL Technical Report.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Qwen2.5-VL Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:37.445117Z

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Observation b81a194e-645b-4e3f-a99d-899caf53458c · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:37.507574Z

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Observation 33c681ea-322c-4d07-9570-bf88a7f1e689 · outbound

This paper cites Wiki-llava: Hierarchical retrieval-augmented generation for multimodal llms.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Wiki-llava: Hierarchical retrieval-augmented generation for multimodal llms

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:37.583688Z

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Observation caca77dd-0c7f-436f-a4a7-f8dbfe66e7db · outbound

This paper cites AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:37.686789Z

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Observation 8e2aef62-91dd-4624-9d83-0869ab6c18e7 · outbound

This paper cites Webqa: Multihop and multimodal qa.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Webqa: Multihop and multimodal qa

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:37.792978Z

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Observation a17a1232-f62d-4dfb-8d2d-06f2228c2af9 · outbound

This paper cites Collecting highly parallel data for paraphrase evaluation.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Collecting highly parallel data for paraphrase evaluation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:37.877735Z

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Observation 14038995-ac3d-40b0-9f9d-34599cad0315 · outbound

This paper cites mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:37.978957Z

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Observation 5ce443e8-645b-4c1c-864b-3fc15153c6aa · outbound

This paper cites Sharegpt4v: Improving large multi-modal models with better captions.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Sharegpt4v: Improving large multi-modal models with better captions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:38.039664Z

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Observation cb626853-7142-459a-bb3f-07ee6af82e55 · outbound

This paper cites Vast: A vision-audio-subtitle-text omni-modality foundation model and dataset.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Vast: A vision-audio-subtitle-text omni-modality foundation model and dataset

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:38.135154Z

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Observation 3abfb845-1d29-48d6-909d-845825214698 · outbound

This paper cites MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:38.241872Z

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Observation 2ff154db-8bbf-46bf-91b2-fba69349d5dd · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:38.335797Z

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Observation 55ade486-db11-43f2-b8c3-e76b36b8c472 · outbound

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

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Reproducible scaling laws for contrastive language-image learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:38.353327Z

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Observation ce0df1fa-2f49-48a6-be40-6c7c99cc4813 · outbound

This paper cites Visual dialog.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Visual dialog

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:38.487073Z

Source-reported events for the cited work

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Observation e03ce079-de1e-42e5-bb72-41a602d79443 · outbound

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

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Imagenet: A large-scale hierarchical image database

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:38.611355Z

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Observation 20feab99-8379-442e-816a-dc2af501376d · outbound

This paper cites Mmdocir: Benchmarking multi-modal retrieval for long documents.arXiv preprint arXiv:2501.08828,.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Mmdocir: Benchmarking multi-modal retrieval for long documents.arXiv preprint arXiv:2501.08828,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:38.724894Z

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Unavailable: canonical work link unavailable.

Observation 6b9a2408-e4ac-48f3-913d-a09e84c5684c · outbound

This paper cites The pascal visual object classes challenge: A retrospective.International Journal of Computer Vision, 111:98–136, 2015.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval The pascal visual object classes challenge: A retrospective.International Journal of Computer Vision, 111:98–136, 2015

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:38.857313Z

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Observation a452dfd7-f6d5-419d-b6bb-18c1ba7ec49e · outbound

This paper cites DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:38.993221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56c6cc8f-ded3-4f71-a5b4-ad3cb8f4bb2b · outbound

This paper cites Simcse: Simple contrastive learning of sentence embeddings.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Simcse: Simple contrastive learning of sentence embeddings

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:39.124769Z

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Unavailable: canonical work link unavailable.

Observation 7f0689e4-5de1-42e4-b919-de06d58519da · outbound

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

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Imagebind: One embedding space to bind them all

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:39.289062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ada8643-244a-4f40-9648-261e9c3c503a · outbound

This paper cites Breaking the modality barrier: Universal embedding learning with multimodal llms.arXiv preprint arXiv:2504.17432, 2025.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Breaking the modality barrier: Universal embedding learning with multimodal llms.arXiv preprint arXiv:2504.17432, 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:39.416668Z

Source-reported events for the cited work

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Observation e76bd2ca-1ea7-42db-a61f-afaabef2ee8c · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Lora: Low-rank adaptation of large language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:39.525902Z

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Unavailable: canonical work link unavailable.

Observation d97d084b-ec3b-48e1-9ac2-4f3a6cb753ed · outbound

This paper cites Egocvr: An egocentric benchmark for fine-grained composed video retrieval.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Egocvr: An egocentric benchmark for fine-grained composed video retrieval

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:39.674376Z

Source-reported events for the cited work

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Observation adf2eed1-d342-476f-b3c2-12fcc2223410 · outbound

This paper cites Mate: Meet at the embedding-connecting images with long texts.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Mate: Meet at the embedding-connecting images with long texts

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:39.787447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1932084e-9cc0-4812-8e24-96947c515a18 · outbound

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

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Scaling up visual and vision-language representation learning with noisy text supervision

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:39.943808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d567483b-84af-428a-9f33-3baca666fa76 · outbound

This paper cites Tencent text- video retrieval: hierarchical cross-modal interactions with multi-level representations.IEEE Access, 2022.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Tencent text- video retrieval: hierarchical cross-modal interactions with multi-level representations.IEEE Access, 2022

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:40.007625Z

Source-reported events for the cited work

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Observation 69ea240f-4921-45fd-bd9a-8d749f023325 · outbound

This paper cites Scaling sentence embeddings with large language models.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Scaling sentence embeddings with large language models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:40.062977Z

Source-reported events for the cited work

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Observation 7c11c69d-5b64-4c24-bd72-49451fd8d076 · outbound

This paper cites E5-V: Universal Embeddings with Multimodal Large Language Models.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval E5-V: Universal Embeddings with Multimodal Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:40.135649Z

Source-reported events for the cited work

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Observation ac76a1ed-3331-45f8-803f-635eead6ea98 · outbound

This paper cites VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:40.233513Z

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Observation 67ea4878-8040-4681-b778-07b3235699d1 · outbound

This paper cites Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:40.292912Z

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Observation 92d103e5-e08d-4319-b296-89169c5ffde4 · outbound

This paper cites Visual question answering: Datasets, algorithms, and future challenges.Computer Vision and Image Understanding, 163:3–20, 2017.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Visual question answering: Datasets, algorithms, and future challenges.Computer Vision and Image Understanding, 163:3–20, 2017

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:40.422494Z

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Observation 291c51a4-7d5c-46bf-b507-49027c432b08 · outbound

This paper cites Deep visual-semantic alignments for generating image descriptions.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Deep visual-semantic alignments for generating image descriptions

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:40.496653Z

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Observation 0811a0e4-3d0c-4eb8-be38-e8d78780461e · outbound

This paper cites The hateful memes challenge: Detecting hate speech in multimodal memes.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval The hateful memes challenge: Detecting hate speech in multimodal memes

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:40.596642Z

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Observation e0a6ae9e-06f8-4ccb-b4df-16bb641e9b7d · outbound

This paper cites TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:40.649758Z

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Observation 6e1e8e44-c342-4aad-a0f8-f9dd659c04b4 · outbound

This paper cites Natural questions: a benchmark for question answering research.Transactions of the Association for Computational Linguistics, 7:453–466, 2019.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Natural questions: a benchmark for question answering research.Transactions of the Association for Computational Linguistics, 7:453–466, 2019

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:40.710060Z

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Observation 28885696-1d45-4d01-9b13-455c7adb32cc · outbound

This paper cites Llave: Large language and vision embedding models with hardness-weighted contrastive learning.arXiv preprint arXiv:2503.04812, 2025.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Llave: Large language and vision embedding models with hardness-weighted contrastive learning.arXiv preprint arXiv:2503.04812, 2025

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:40.831458Z

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Observation 655aff41-ce43-41c3-8937-eba3fd1e8898 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval LLaVA-OneVision: Easy Visual Task Transfer

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:40.926888Z

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Observation 59753726-70b8-44bb-8bef-ba75c75e89e8 · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.027258Z

Source-reported events for the cited work

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Observation 5a365334-6104-47de-ad03-3b4afc2900d8 · outbound

This paper cites Blip: Bootstrapping language- image pre-training for unified vision-language understanding and generation.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Blip: Bootstrapping language- image pre-training for unified vision-language understanding and generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.096391Z

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Observation 9f723ea6-4cd0-4cd6-a9d8-b15993af6316 · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.208727Z

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Observation a6817cad-c2f1-499f-afc9-97037fc12468 · outbound

This paper cites MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.299337Z

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Unavailable: canonical work link unavailable.

Observation 67f62fc2-a81e-49fa-a515-6d3472ac5dd0 · outbound

This paper cites Microsoft coco: Common objects in context.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Microsoft coco: Common objects in context

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.369793Z

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Observation 551991ec-7975-4641-a0f8-c7238f90f6df · outbound

This paper cites IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.513558Z

Source-reported events for the cited work

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Observation e83cd7ee-0e9e-4b0d-a869-07c9dd7e76c4 · outbound

This paper cites Visual News: Benchmark and Challenges in News Image Captioning.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Visual News: Benchmark and Challenges in News Image Captioning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.573083Z

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Unavailable: canonical work link unavailable.

Observation b3c57bc6-8e15-40d9-96aa-0c7f592a4b37 · outbound

This paper cites Improved baselines with visual instruction tuning.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Improved baselines with visual instruction tuning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.612473Z

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Unavailable: canonical work link unavailable.

Observation 659449bb-740b-47ae-9b37-96afcaccccd4 · outbound

This paper cites Llava-next: Improved reasoning, ocr, and world knowledge, January 2024.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Llava-next: Improved reasoning, ocr, and world knowledge, January 2024

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.651069Z

Source-reported events for the cited work

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Observation 8f85b993-5da8-47b3-b77c-2a1152f5dbe7 · outbound

This paper cites Visual instruction tuning.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Visual instruction tuning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.752801Z

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Observation 7908fffa-9e17-4bd0-af99-c05ba6b87985 · outbound

This paper cites Llava-plus: Learning to use tools for creating multimodal agents.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Llava-plus: Learning to use tools for creating multimodal agents

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.844748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 923723cb-467f-45db-a2a1-8559ab4dc228 · outbound

This paper cites LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.923753Z

Source-reported events for the cited work

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Observation 260b0014-20bc-4880-bd2e-ddd6d1537b45 · outbound

This paper cites Image retrieval on real-life images with pre-trained vision-and-language models.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Image retrieval on real-life images with pre-trained vision-and-language models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:41.986061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a94f9504-f8e7-4bac-8e61-eff261c60a71 · outbound

This paper cites Generative multi-modal knowledge retrieval with large language models.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Generative multi-modal knowledge retrieval with large language models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:42.063940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee3f2b50-ba0a-43d5-a43c-54a563afc47a · outbound

This paper cites End-to-end knowl- edge retrieval with multi-modal queries.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval End-to-end knowl- edge retrieval with multi-modal queries

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:42.139537Z

Source-reported events for the cited work

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Observation 6eeb2464-83a1-42c9-a2e2-7903dc66dde8 · outbound

This paper cites Video-rag: Visually-aligned retrieval-augmented long video comprehension.arXiv preprint arXiv:2411.13093, 2024.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Video-rag: Visually-aligned retrieval-augmented long video comprehension.arXiv preprint arXiv:2411.13093, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:42.196435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b2f095a-1e1e-4972-9c8b-953e279d9a02 · outbound

This paper cites Unifying multimodal retrieval via document screenshot embedding.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Unifying multimodal retrieval via document screenshot embedding

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:42.277212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e194b3-da69-47a2-a2ad-e01cec6593b6 · outbound

This paper cites VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:42.381843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab821c6-af25-475e-8c26-7541f1f79ee4 · outbound

This paper cites Ok-vqa: A visual question answering benchmark requiring external knowledge.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Ok-vqa: A visual question answering benchmark requiring external knowledge

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2b4ea5b-3fde-419d-a747-7179956369f7 · outbound

This paper cites Chartqa: A benchmark for question answering about charts with visual and logical reasoning.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Chartqa: A benchmark for question answering about charts with visual and logical reasoning

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 023bd09b-026c-499f-8603-90db05775295 · outbound

This paper cites Infographicvqa.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Infographicvqa

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:42.612365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c140d83b-3342-4e5b-a369-99b7ede44866 · outbound

This paper cites Docvqa: A dataset for vqa on document images.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Docvqa: A dataset for vqa on document images

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d78713e-fe65-4b1c-b9c1-1e0f20828970 · outbound

This paper cites Mm1: methods, analysis and insights from multimodal llm pre-training.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Mm1: methods, analysis and insights from multimodal llm pre-training

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:55.493208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ced10b56-ccc6-4d8e-a033-eb1cce907549 · outbound

This paper cites Docci: Descriptions of connected and contrasting images.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Docci: Descriptions of connected and contrasting images

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:55.391113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 49df6ac7-3954-48eb-b100-f5fc6a1d8b9b · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Representation Learning with Contrastive Predictive Coding

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:42.931680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b9d012b-7ae5-462b-905a-907bb39c1e1c · outbound

This paper cites Kosmos-G: Generating Images in Context with Multimodal Large Language Models.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Kosmos-G: Generating Images in Context with Multimodal Large Language Models

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:42.998277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4c51ae5-fb47-48a0-91db-1ed9642c553b · outbound

This paper cites Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:55.208547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5496358f-8197-43d5-854a-cab5644921b9 · outbound

This paper cites Filtering, distillation, and hard negatives for vision-language pre-training.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Filtering, distillation, and hard negatives for vision-language pre-training

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:55.069133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ca105a17-df5a-4e29-84df-50b64bd82dc9 · outbound

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

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Learning transferable visual models from natural language supervision

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e597097e-88f1-46d8-b812-e0d643ff95d8 · outbound

This paper cites Squad: 100,000+ questions for machine comprehension of text.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Squad: 100,000+ questions for machine comprehension of text

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e021a51d-e594-4c22-9eb9-a07b0d2b105e · outbound

This paper cites Contrastive Learning with Hard Negative Samples.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Contrastive Learning with Hard Negative Samples

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 465889c8-cf34-48ac-9603-90480d251467 · outbound

This paper cites Pic2word: Mapping pictures to words for zero-shot composed image retrieval.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Pic2word: Mapping pictures to words for zero-shot composed image retrieval

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9c0da33c-6771-4f97-be58-70b508e1a057 · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Laion- 5b: An open large-scale dataset for training next generation image-text models

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 410094f7-2180-4340-a721-0811d9523df3 · outbound

This paper cites A-okvqa: A benchmark for visual question answering using world knowledge.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval A-okvqa: A benchmark for visual question answering using world knowledge

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1393e73d-2486-4a8e-9db2-783e9b418355 · outbound

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

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval EVA-CLIP: Improved Training Techniques for CLIP at Scale

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fc5fba1-6b55-444f-83ac-485e825a272f · outbound

This paper cites Composed video retrieval via enriched context and discriminative embeddings.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Composed video retrieval via enriched context and discriminative embeddings

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:53.527330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ddbad45-f0bd-4905-afec-10a0b6c37f36 · outbound

This paper cites Fever: a large-scale dataset for fact extraction and verification.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Fever: a large-scale dataset for fact extraction and verification

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:53.281847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e49834f-8235-49d4-ab1a-589f9b41a9d2 · outbound

This paper cites Covr-2: Automatic data construction for composed video retrieval.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Covr-2: Automatic data construction for composed video retrieval.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43ac363e-3f70-45b1-b50d-cb55d8b92e58 · outbound

This paper cites Covr: Learning composed video retrieval from web video captions.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Covr: Learning composed video retrieval from web video captions

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4165373e-c41e-4f73-bb44-aa18251c6109 · outbound

This paper cites Tarsier: Recipes for Training and Evaluating Large Video Description Models.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Tarsier: Recipes for Training and Evaluating Large Video Description Models

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:44.083171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa90b388-4267-4933-acb7-be02d1deee11 · outbound

This paper cites A Comprehensive Survey on Cross-modal Retrieval.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval A Comprehensive Survey on Cross-modal Retrieval

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 112d2fbc-dfce-415c-9cee-36e5875b4c65 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:44.311504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00e1ee86-7f82-4c3e-9637-2ac103fc5528 · outbound

This paper cites Fvqa: Fact-based visual question answering.IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(10):2413–2427, 2017.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Fvqa: Fact-based visual question answering.IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(10):2413–2427, 2017

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f7e16bdf-8b49-4887-aea7-5fe6a581e0f8 · outbound

This paper cites Cross- modal retrieval: a systematic review of methods and future directions.Proceedings of the IEEE, 2025.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Cross- modal retrieval: a systematic review of methods and future directions.Proceedings of the IEEE, 2025

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 22241213-305e-4750-a912-386dc00fafc9 · outbound

This paper cites Internvid: A large-scale video-text dataset for multimodal understanding and generation.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Internvid: A large-scale video-text dataset for multimodal understanding and generation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:52.210759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1ccdfecc-be1c-4081-870d-5ebf432c8179 · outbound

This paper cites Internvideo2: Scaling foundation models for multimodal video understanding.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Internvideo2: Scaling foundation models for multimodal video understanding

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:51.966932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c92fe79b-13d1-4bc5-a59a-c97df7637a2d · outbound

This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval InternVideo: General Video Foundation Models via Generative and Discriminative Learning

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:45.013607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f54c8e76-bdc0-480b-9fc8-a497a0ec08de · outbound

This paper cites InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:45.104101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e20025dc-ed00-4245-aed1-d7b7f54c7576 · outbound

This paper cites OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:45.187968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dc596e4-9b13-4caa-9b6a-29a932e200f5 · outbound

This paper cites N24news: A new dataset for multimodal news classification.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval N24news: A new dataset for multimodal news classification

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:51.794730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2c6dc2a6-8756-4a3a-bc80-de2df8aaa6c1 · outbound

This paper cites Uniir: Training and benchmarking universal multimodal information retrievers.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Uniir: Training and benchmarking universal multimodal information retrievers

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:51.598369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0ccbf610-017b-47cf-a0cf-93ed9d61fcfd · outbound

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

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Sun database: Large-scale scene recognition from abbey to zoo

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b10f7c85-ecde-490e-acd6-857b03f829f8 · outbound

This paper cites Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fafc94c8-f7eb-405c-bbee-bdbf296ecd29 · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Msr-vtt: A large video description dataset for bridging video and language

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 731ad417-6323-44dd-8cd0-da784f786d16 · outbound

This paper cites PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:45.703524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff5b82ca-a31b-43ae-aebe-5614bf80505d · outbound

This paper cites CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:45.772749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f71f51c-5bf3-4289-8e15-5670d5225064 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:45.839239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da0f99f-033f-4503-b951-6c6d25f52ded · outbound

This paper cites End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:51.025254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b5c142e-69e9-4709-91ce-7bed037176bb · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval MiniCPM-V: A GPT-4V Level MLLM on Your Phone

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:46.015018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25d936f7-e057-4d04-b373-1597cff5eec4 · outbound

This paper cites CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ee1ebd9e-a9c9-45ae-ae6a-38cd48861805 · inbound

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos cites this paper.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edbdef5e-892a-46ba-bff0-03e3b5d5177a · inbound

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MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

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Resolution: verified exact; arxiv_id, observed 2026-05-18T14:11:27.464856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 913342ff-b8a1-4a73-8d70-b9dd8edb213b · inbound

FreeRet: MLLMs as Training-Free Retrievers cites this paper.

FreeRet: MLLMs as Training-Free Retrievers Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

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Resolution: verified exact; arxiv_id, observed 2026-05-18T13:01:23.532492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 53c0bd72-bc9e-42d9-87d1-38ee6fc94016 · inbound

FreeRet: MLLMs as Training-Free Retrievers cites this paper.

FreeRet: MLLMs as Training-Free Retrievers Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

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Resolution: unresolved; no resolver link, observed 2026-08-04T13:51:45.017918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa897247-7e0b-4148-9f23-44169316f1bc · inbound

Beyond Chain-of-Thought: Rewrite as a Universal Interface for Generative Multimodal Embeddings cites this paper.

Beyond Chain-of-Thought: Rewrite as a Universal Interface for Generative Multimodal Embeddings Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

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Resolution: verified exact; arxiv_id, observed 2026-05-11T19:01:19.736570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8f2ce394-f8b1-45e9-893c-e0de3bc7989f · inbound

Beyond Chain-of-Thought: Rewrite as a Universal Interface for Generative Multimodal Embeddings cites this paper.

Beyond Chain-of-Thought: Rewrite as a Universal Interface for Generative Multimodal Embeddings Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Beyond Chain-of-Thought: Rewrite as a Universal Interface for Generative Multimodal Embeddings cites this paper.

Beyond Chain-of-Thought: Rewrite as a Universal Interface for Generative Multimodal Embeddings Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

Reference 19

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Combating Visual Neglect and Semantic Drift in Large Multimodal Models for Enhanced Cross-Modal Retrieval cites this paper.

Combating Visual Neglect and Semantic Drift in Large Multimodal Models for Enhanced Cross-Modal Retrieval Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

Reference 18

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SOLAR: Self-supervised Joint Learning for Symmetric Multimodal Retrieval cites this paper.

SOLAR: Self-supervised Joint Learning for Symmetric Multimodal Retrieval Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

Reference 5

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ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval cites this paper.

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T05:49:36.604036Z

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Observation 68e4c1a0-4d0d-436a-b85c-8bffd421c7ac · inbound

Illuminating Visual Identity in Universal Multimodal Embeddings cites this paper.

Illuminating Visual Identity in Universal Multimodal Embeddings Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

Reference 26

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Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval cites this paper.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T18:30:14.559722Z

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