Paper Citation Record · LEDGER

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval

As of 22 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2507.06654.

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

pith.paper-citation-record.v1
2507.06654 v1

Coverage vector

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Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

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External citation measurements

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Outbound references

Observation ea3c71d3-564d-4b32-bc08-c5cdb4eae844 · outbound

This paper cites Learning the Parameters of De- terminantal Point Process Kernels.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Learning the Parameters of De- terminantal Point Process Kernels

Reference 1

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Observation b01beb94-ab81-406f-8db7-4ab597368ab2 · outbound

This paper cites Image-Text Retrieval: A Survey on Recent Research and Development.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Image-Text Retrieval: A Survey on Recent Research and Development

Reference 7

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Observation 45f6b3cd-4912-4e88-af64-3f5196608681 · outbound

This paper cites The use of MMR, diversity-based reranking for reordering documents and producing summaries.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval The use of MMR, diversity-based reranking for reordering documents and producing summaries

Reference 8

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Observation d48dc51e-b6dd-4598-9318-f786105ab3fb · outbound

This paper cites The Vendi Score: A Diversity Evaluation Metric for Machine Learning.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Reference 13

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Observation a2ff21b7-7486-462b-8431-951c1e78afc2 · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 18

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Observation 603a4bc8-d689-4c9b-b110-81ea0d0e2056 · outbound

This paper cites K-DPPs: Fixed-size determinantal point processes.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval K-DPPs: Fixed-size determinantal point processes

Reference 19

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Observation e030eeec-a0f5-4f90-972b-6ac3ac9b3693 · outbound

This paper cites Align before Fuse: Vision and Language Representation Learning with Momentum Distillation.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

Reference 22

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Observation 47886ff5-fa79-49c7-bf59-4adcb6bc7fb9 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre- training for Unified Vision-Language Understanding and Generation.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval BLIP: Bootstrapping Language-Image Pre- training for Unified Vision-Language Understanding and Generation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:07.821899Z

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Observation 5cbdc16c-6963-4074-93a8-44dfaab4cdd6 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre- training with Frozen Image Encoders and Large Language Models.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval BLIP-2: Bootstrapping Language-Image Pre- training with Frozen Image Encoders and Large Language Models

Reference 24

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Observation 5c9afc0d-4223-4905-98a6-cb8eb1af6015 · outbound

This paper cites Microsoft coco: Common objects in context.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Microsoft coco: Common objects in context

Reference 25

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Observation ccb5eaf7-be11-4136-823a-ef3fae02ca60 · outbound

This paper cites Learning determinantal point processes by corrective negative sampling.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Learning determinantal point processes by corrective negative sampling

Reference 26

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Observation 26c5a0e0-c062-4a89-b62e-547cedc9bd70 · outbound

This paper cites The coincidence approach to stochastic point processes.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval The coincidence approach to stochastic point processes

Reference 27

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Observation a2eda35f-3369-4ac9-9bdd-060f9946b2a8 · outbound

This paper cites A riemannian framework for tensor computing.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval A riemannian framework for tensor computing

Reference 29

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Observation becd85ce-93b1-4790-9592-8da2c45b33fb · outbound

This paper cites From Pixels to Prose: A Large Dataset of Dense Image Captions.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval From Pixels to Prose: A Large Dataset of Dense Image Captions

Reference 31

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Observation 6d42c4fb-338c-41d1-a538-bf9267ec981b · outbound

This paper cites An overview of cluster-based image search result organization: Background, techniques, and ongoing challenges.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval An overview of cluster-based image search result organization: Background, techniques, and ongoing challenges

Reference 32

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Observation 048f97c9-590a-4ec2-a516-f6381edee775 · outbound

This paper cites van Leuken, Lluis Gar- cia, Ximena Olivares, and Roelof van Zwol.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval van Leuken, Lluis Gar- cia, Ximena Olivares, and Roelof van Zwol

Reference 33

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Observation cd629d20-3e1a-431e-aff7-49d92c6e5de2 · outbound

This paper cites Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks.CVPR, pages 19175–19186,.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks.CVPR, pages 19175–19186,

Reference 35

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This paper cites Pa- padopoulos, Aritro Biswas, Agata Lapedriza, Ferda Ofli, Muhammad Imran, and Antonio Torralba.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Pa- padopoulos, Aritro Biswas, Agata Lapedriza, Ferda Ofli, Muhammad Imran, and Antonio Torralba

Reference 36

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Observation d11aaca4-1cc6-4749-a3ed-4c2b758b0a05 · outbound

This paper cites Incidents1M: a large-scale dataset of im- ages with natural disasters, damage, and incidents.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Incidents1M: a large-scale dataset of im- ages with natural disasters, damage, and incidents

Reference 37

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Observation d421d178-0514-4ac5-9846-4d16c49a04f1 · outbound

This paper cites Uniir: Training and benchmarking universal mul- timodal information retrievers.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Uniir: Training and benchmarking universal mul- timodal information retrievers

Reference 38

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Observation 2345133b-e7a4-4a7b-be5a-c6ae010ead8a · outbound

This paper cites Re- sult Diversification in Search and Recommendation: A Survey.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Re- sult Diversification in Search and Recommendation: A Survey

Reference 39

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Observation 147017d4-4e35-4325-8af8-f301cd13d830 · outbound

This paper cites Coca: Contrastive captioners are image-text foundation models.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Coca: Contrastive captioners are image-text foundation models

Reference 40

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Observation 3c297606-b598-4391-b0d0-27f37fb254a7 · outbound

This paper cites X22-VLM: All-in-One Pre-Trained Model for Vision- Language Tasks.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval X22-VLM: All-in-One Pre-Trained Model for Vision- Language Tasks

Reference 41

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Observation 735a21e3-c1dd-4633-9c3e-09e6296840f1 · outbound

This paper cites Improving web search results using affinity graph.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Improving web search results using affinity graph

Reference 42

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Observation 77073c41-cd78-43d6-908a-e9e986f3b6ca · outbound

This paper cites Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning

Reference 1975

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Observation 864c73be-e9bd-4e0b-a399-36ffb9ee0bc3 · outbound

This paper cites Fast greedy MAP inference for determinan- tal point process to improve recommendation diversity.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Fast greedy MAP inference for determinan- tal point process to improve recommendation diversity

Reference 1998

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Observation dd195990-bdb1-41cb-b800-572c8b490cbb · outbound

This paper cites Keyword-Based Diverse Image Retrieval by Semantics- aware Contrastive Learning and Transformer.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Keyword-Based Diverse Image Retrieval by Semantics- aware Contrastive Learning and Transformer

Reference 2005

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Observation 40b1001c-b6c4-4914-86e9-d20e090a0f99 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Su- pervision.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Learning Transferable Visual Models From Natural Language Su- pervision

Reference 2006

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:06.919699Z

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Observation 32a82f07-7ebd-4b9b-90aa-0cccabd8907b · outbound

This paper cites [Vieira et al., 2011] Marcos R.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval [Vieira et al., 2011] Marcos R

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:06.523205Z

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Observation 2140cddb-18f2-4a78-b046-f738efc19985 · outbound

This paper cites Determinantal Point Processes for Machine Learning.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Determinantal Point Processes for Machine Learning

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:08.369826Z

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Observation 01ccf656-5f92-41eb-935b-9354d02b18bb · outbound

This paper cites Stacked Cross Atten- tion for Image-Text Matching.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Stacked Cross Atten- tion for Image-Text Matching

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:08.174061Z

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Observation 4c502004-8bb8-4b3d-b62a-213bd5761903 · outbound

This paper cites Result Diversifi- cation in Social Image Retrieval: A Benchmarking Frame- work.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Result Diversifi- cation in Social Image Retrieval: A Benchmarking Frame- work

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:08.910831Z

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Observation 3692a8ed-2120-4527-a835-8a7d51d7ccbb · outbound

This paper cites FCA-based knowledge representation and local general- ized linear models to address relevance and diversity in diverse social images.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval FCA-based knowledge representation and local general- ized linear models to address relevance and diversity in diverse social images

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:09.133744Z

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Observation 294e4bb3-01ee-44a8-a7c0-1efb7ca5b141 · outbound

This paper cites Pseudo-relevance feedback diversifica- tion of social image retrieval results.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Pseudo-relevance feedback diversifica- tion of social image retrieval results

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:09.073750Z

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Observation f5d398e6-bd9a-415d-a1d7-ac9b7fb20e52 · outbound

This paper cites Benchmarking Image Retrieval Diversifica- tion Techniques for Social Media.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Benchmarking Image Retrieval Diversifica- tion Techniques for Social Media

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:08.894425Z

Source-reported events for the cited work

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Observation 0935aad7-0442-44f6-a04a-020cac641a0e · outbound

This paper cites A Hypergraph-Based Reranking Model for Retrieving Diverse Social Images.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval A Hypergraph-Based Reranking Model for Retrieving Diverse Social Images

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:09.057108Z

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Observation 4adce1ea-787a-4102-9216-798a6d0ab4f8 · outbound

This paper cites Uniter: Universal image-text representation learning.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Uniter: Universal image-text representation learning

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:08.990316Z

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Observation 8a896868-a867-4e81-b388-7bc0243c77d4 · outbound

This paper cites Is an Image Worth Five Sentences? A New Look Into Semantics for Image- Text Matching.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Is an Image Worth Five Sentences? A New Look Into Semantics for Image- Text Matching

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:09.113833Z

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Observation b06a5bed-699c-499c-95f6-a97ca5a8ccab · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual- linguistic tasks.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Internvl: Scaling up vision foundation models and aligning for generic visual- linguistic tasks

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:08.974930Z

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

Observation 3902dfb4-8608-4729-94fa-10bd06c76569 · outbound

This paper cites Comparative Analysis on Cross- Modal Information Retrieval: A Review.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Comparative Analysis on Cross- Modal Information Retrieval: A Review

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:08.870369Z

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

Observation c985981c-603b-444d-83cf-909db2624f28 · outbound

This paper cites Hierarchical clustering pseudo-relevance feedback for social image search result diversification.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Hierarchical clustering pseudo-relevance feedback for social image search result diversification

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:09.093183Z

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Observation 6d84a6c9-08be-4f12-b549-8299a2e7be47 · outbound

This paper cites Devise: A deep visual-semantic em- bedding model.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Devise: A deep visual-semantic em- bedding model

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:08.926845Z

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Observation f1649972-4454-4f71-8449-e6d94cdc940b · outbound

This paper cites Fleet, Jamie Ryan Kiros, and Sanja Fidler.

MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval Fleet, Jamie Ryan Kiros, and Sanja Fidler

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:08.958448Z

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Pith citing papers

Observation b32283fa-f813-4a5b-85f5-fd211ac1a3e0 · inbound

MASCOT: Model-Aware Submodular Coverage for Composite-Attribute Text-to-Image Retrieval cites this paper.

MASCOT: Model-Aware Submodular Coverage for Composite-Attribute Text-to-Image Retrieval MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:12:09.035099Z

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