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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 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations 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

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:06:04.697835Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

Resolution
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Source-reported events for the cited work

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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Source-reported events for the cited work

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

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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

Resolution
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Source-reported events for the cited work

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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

Resolution
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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

Resolution
verified fuzzy
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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Observation 7ce03733-f959-43d3-942f-e973801f8a4a · outbound

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

Resolution
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Source-reported events for the cited work

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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

Resolution
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Source-reported events for the cited work

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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

Resolution
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Source-reported events for the cited work

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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

Resolution
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Source-reported events for the cited work

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

Resolution
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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

Resolution
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Source-reported events for the cited work

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:01.260842Z digest=sha256:e1ce9528d51e9319922ba053f5ef460f7a7434444ec1c5c3b6f87f0c5b56d7b7

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:04.697835Z digest=sha256:3b7253b59ed4abced25f691181ab4e5ecf0840164e56c189e0343f0e407795f0

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:04.090252Z digest=sha256:b1c8b6a6da755ca4a92248aa83ffcd249d6fe3ccc3bb8ce7a07cd1cb8bbe2d90

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:02.866747Z digest=sha256:0fb2dab3f4947f874614c444968e1cce4ea34d7d187a0c09c6805a27edc45cc6

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:03.054218Z digest=sha256:9c764bc18150ae3d8099badf041d7f652b17d8be3b97a4936de2d96ca635cf9b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:01.923514Z digest=sha256:d441812bae1c757a2e264674bd9c0173f0d606900a7ff5e4cd399f212110a2ff

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:00.441052Z digest=sha256:cbbbd89e795aace1a104f7266d4d81f4d9c9f5117367dc2b54cca7f3019fcba6

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:00.848086Z digest=sha256:a1e5c5c1b2c5b819cecb6ccf8725e62bf8dd189cbb5e514586d813b084bb2641

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:02.139956Z digest=sha256:db261fc71ee05ca219ae8af00dc6401004dfce1a68f91b892c2b4e2e81155b7c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:00.942285Z digest=sha256:c52e4be6eb032f84c53d3bcc117cc92540ad28450772537b819d7e1ba93d849a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:01.405801Z digest=sha256:3e16872d255a8c6ed2be1d9a3526fc687aa0e0024139e50a1bc1969798286c77

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:00.539185Z digest=sha256:56d12f3a646800d5462586ca383c47f79d90750cfa7991dd81f5400ad3298c1b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:01.501942Z digest=sha256:3588ba7b2aef915586755290f48719e386a7feb547fba63a74c387e00f61de29

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:02.355875Z digest=sha256:60ebf0f4fe820cf27884b389802063420c91084658ac74fcc009fcdbf0520b72

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:00.677606Z digest=sha256:36974cabc051064e21e8a5a55dab2d5954cb930e50f505312617901fafcd88dc

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:01.809965Z digest=sha256:68dbc084b3f4b28d3b3d5ae4450667dfc323cd5ac52198e0ce2fcdff55877fe9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:06:01.640748Z digest=sha256:9e75d757b6b71d6975df032dfd660d9af40583ff97dcc70e6f3b0977708c0e8a

Pith citing papers

No inbound Pith citation observations are available.