Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries | Paper Citation Record

Observation f99fdae7-f186-4a29-91aa-be9c0d060fd7 · outbound

This paper cites GPT-4 Technical Report.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:49.965500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e51d17be-8da4-4c6d-8303-1c909f63a461 · outbound

This paper cites nocaps: novel object captioning at scale.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries nocaps: novel object captioning at scale

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:49.970814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c6e25b8-0853-4cc9-ab11-c806ca290241 · outbound

This paper cites Natural language interfaces to databases–an introduction.Natural language engineering, 1(1):29–81, 1995.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Natural language interfaces to databases–an introduction.Natural language engineering, 1(1):29–81, 1995

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:49.975713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e98e2486-026c-446b-ad42-2cedaeb42f24 · outbound

This paper cites Modeling score distributions in information retrieval.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Modeling score distributions in information retrieval

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:49.980207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77dd7599-b6a6-4079-a710-bd6b4dc900ef · outbound

This paper cites The multiplicative weights update method: a meta-algorithm and applications.Theory of computing, 8(1):121–164, 2012.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries The multiplicative weights update method: a meta-algorithm and applications.Theory of computing, 8(1):121–164, 2012

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:49.985333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57abeed8-565f-4cac-8319-4ce2ace18c6a · outbound

This paper cites Deep neural architecture for multi-modal retrieval based on joint embedding space for text and images.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Deep neural architecture for multi-modal retrieval based on joint embedding space for text and images

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:49.989522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38b437d3-b40d-449c-8940-30c75d535822 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries BEiT: BERT Pre-Training of Image Transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:49.994257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7091c3c-5543-4e28-8f7c-1df79dc68aa1 · outbound

This paper cites Lof: identifying density-based local outliers.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Lof: identifying density-based local outliers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:49.999104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f58a3298-5b37-4db0-986e-9fadf93dbe80 · outbound

This paper cites Language Models are Few-Shot Learners.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Language Models are Few-Shot Learners

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.003495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5699e3d3-aed3-4c48-a0de-80554a1c9d5f · outbound

This paper cites Large-scale content-based audio retrieval from text queries.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Large-scale content-based audio retrieval from text queries

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.007478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9799d22-6efb-4d50-ac87-7651439ed677 · outbound

This paper cites Image search with text feedback by visiolin- guistic attention learning.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Image search with text feedback by visiolin- guistic attention learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.011482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d96eb973-9567-41a8-9220-cc07cc9dfd36 · outbound

This paper cites Palm: Scaling language modeling with pathways.Journal of Machine Learning Research, 24(240):1– 113, 2023.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Palm: Scaling language modeling with pathways.Journal of Machine Learning Research, 24(240):1– 113, 2023

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.014877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25a79af1-081f-4524-ad33-22043aa41391 · outbound

This paper cites On the inference of average precision from score distributions.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries On the inference of average precision from score distributions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.018126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa50658b-cec6-4f16-bc5e-fb550934c407 · outbound

This paper cites Advanced generative ai methods for academic text summarization.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Advanced generative ai methods for academic text summarization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.022300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e8e4b06-79b1-4fd3-b231-6c39bf7d9fbd · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.026286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f06a8ab1-4cdd-45ea-8006-5100a071ca6d · outbound

This paper cites Chameleon: Foundation models for fairness-aware multi-modal data augmentation to enhance coverage of minorities.Proceedings of the VLDB Endowment, 17(11):3470–3483, 2024.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Chameleon: Foundation models for fairness-aware multi-modal data augmentation to enhance coverage of minorities.Proceedings of the VLDB Endowment, 17(11):3470–3483, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.030109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d76fb0e0-b9fe-40a3-b236-bf0e5cbaaa33 · outbound

This paper cites Optimal aggregation algorithms for middleware.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Optimal aggregation algorithms for middleware

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.033689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 718b4582-6d69-445b-b8fd-71eefe25f421 · outbound

This paper cites Eva: Exploring the limits of masked visual representation learning at scale.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Eva: Exploring the limits of masked visual representation learning at scale

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.037369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0107312c-94cc-49be-b681-6bd2b300f255 · outbound

This paper cites Learning to rank for content-based image retrieval.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Learning to rank for content-based image retrieval

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.042175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d71f1b6d-420a-43ae-9bb3-e68e77264893 · outbound

This paper cites Tagging personal photos with transfer deep learning.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Tagging personal photos with transfer deep learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.046114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dd88f8f-409b-42bd-ab01-66df36b47123 · outbound

This paper cites Caltech 256, Apr 2022.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Caltech 256, Apr 2022

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.050267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c1834f8-3053-4e0e-9428-7483bf25f9b8 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Lvis: A dataset for large vocabulary instance segmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.054344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ef73d95-267e-4278-a89d-f361fa874559 · outbound

This paper cites Query-aware locality- sensitive hashing for approximate nearest neighbor search.Proceedings of the VLDB Endow- ment, 9(1):1–12, 2015.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Query-aware locality- sensitive hashing for approximate nearest neighbor search.Proceedings of the VLDB Endow- ment, 9(1):1–12, 2015

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.426992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5ab79138-f222-4035-8262-9d528fc8e689 · outbound

This paper cites A Survey on Locality Sensitive Hashing Algorithms and their Applications.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries A Survey on Locality Sensitive Hashing Algorithms and their Applications

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.063085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 057b21af-7de1-4f0d-a017-abce482aa55c · outbound

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

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Scaling up visual and vision-language representation learning with noisy text supervision

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.068261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71b3d95b-8376-4f19-8b7a-af19db71c69b · outbound

This paper cites Semantically- enhanced kernel canonical correlation analysis: a multi-label cross-modal retrieval.Multimedia Tools and Applications, 78:13169–13188, 2019.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Semantically- enhanced kernel canonical correlation analysis: a multi-label cross-modal retrieval.Multimedia Tools and Applications, 78:13169–13188, 2019

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.405017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7cfeaa99-326f-44a0-89d3-9c1bace21c85 · outbound

This paper cites Learning image embeddings using convolutional neural networks for improved multi-modal semantics.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Learning image embeddings using convolutional neural networks for improved multi-modal semantics

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.393184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7627731e-0837-4092-84c9-3b5c377802e9 · outbound

This paper cites Audio retrieval with natural language queries: A benchmark study.IEEE Transactions on Multimedia, 25:2675–2685, 2022.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Audio retrieval with natural language queries: A benchmark study.IEEE Transactions on Multimedia, 25:2675–2685, 2022

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.380041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 26bd95fe-75fb-4c16-9fe7-a8e231623295 · outbound

This paper cites V oronoi-based k nearest neighbor search for spatial network databases.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries V oronoi-based k nearest neighbor search for spatial network databases

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.367627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation efadf8ee-9373-4aab-9eb4-ea0dabe58245 · outbound

This paper cites Using synthetic data to train neural networks is model-based reasoning.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Using synthetic data to train neural networks is model-based reasoning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.354808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 23120b54-73f8-44b0-ab94-6be37a37aecb · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in Neural Information Processing Systems, 33:9459–9474, 2020.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in Neural Information Processing Systems, 33:9459–9474, 2020

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.090743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfe5ea49-a476-47c5-b6d0-d7a12055019d · outbound

This paper cites Nalir: an interactive natural language interface for querying relational databases.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Nalir: an interactive natural language interface for querying relational databases

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.334767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9d61d628-9655-41a2-aefa-4af862d6f86e · outbound

This paper cites Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.097722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af00dcb5-a91e-4baf-9a45-7cfc1593485e · outbound

This paper cites Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls.Advances in Neural Information Processing Systems, 36, 2024.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls.Advances in Neural Information Processing Systems, 36, 2024

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.102370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9e7ea36-267b-4194-8266-cf76d7a315d7 · outbound

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

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Blip: Bootstrapping language- image pre-training for unified vision-language understanding and generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.107132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff316476-a5d9-4045-8dec-cc3680aa0697 · outbound

This paper cites W2vv++ fully deep learning for ad-hoc video search.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries W2vv++ fully deep learning for ad-hoc video search

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.307829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d148382c-1d54-40ea-a187-a6f4d78989a5 · outbound

This paper cites Using LLM to select the right SQL Query from candidates.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Using LLM to select the right SQL Query from candidates

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.115582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab32334b-ac08-4efe-8dc3-960373323dfa · outbound

This paper cites Microsoft coco: Common objects in context.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Microsoft coco: Common objects in context

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.120227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cfe3bf3-6fc9-447c-9ad6-f3a732555d2a · outbound

This paper cites Learning a recurrent residual fusion network for multimodal matching.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Learning a recurrent residual fusion network for multimodal matching

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.286492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ea95b71-15e6-45ac-a3b7-82a473567ab1 · outbound

This paper cites CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.127973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57654ad3-a586-499e-a59b-dd6b3e777317 · outbound

This paper cites Mention Extraction and Linking for SQL Query Generation.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Mention Extraction and Linking for SQL Query Generation

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-12T05:13:50.610579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5e18f7a1-3d24-4eb2-9cbe-11042471f245 · outbound

This paper cites an unresolved cited work.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.136325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db902d1f-3118-49e3-a51a-c31594583ccd · outbound

This paper cites Query and keyframe representations for ad-hoc video search.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Query and keyframe representations for ad-hoc video search

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.266562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7c41e9e1-57db-4adc-b5b1-021c1eaa0eff · outbound

This paper cites Senticap: Generating image descriptions with sentiments.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Senticap: Generating image descriptions with sentiments

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.255683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ff1e7170-ea61-4235-a9e6-9c45797df9b7 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.148488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecda0958-9b0d-49f1-be43-696cf7c7ba9f · outbound

This paper cites Howto100m: Learning a text-video embedding by watching hundred million narrated video clips.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Howto100m: Learning a text-video embedding by watching hundred million narrated video clips

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.152020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94cff172-0fa1-4c28-a93c-0cf7b0ab55b7 · outbound

This paper cites Learning joint embedding with multimodal cues for cross-modal video-text retrieval.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Learning joint embedding with multimodal cues for cross-modal video-text retrieval

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.235852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dc25b34f-f0c4-442e-93e0-9ddf0eb5f190 · outbound

This paper cites Seesaw: interactive ad-hoc search over image databases.Proceedings of the ACM on Management of Data, 1(4):1–26, 2023.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Seesaw: interactive ad-hoc search over image databases.Proceedings of the ACM on Management of Data, 1(4):1–26, 2023

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.223632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c156cb2f-7059-4f42-833b-4e051564955c · outbound

This paper cites Randomized algorithms.ACM Computing Surveys (CSUR), 28(1):33–37, 1996.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Randomized algorithms.ACM Computing Surveys (CSUR), 28(1):33–37, 1996

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.211325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a85a2efa-8d1f-4bf8-832f-8fc776477ff0 · outbound

This paper cites Learning and transferring mid- level image representations using convolutional neural networks.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Learning and transferring mid- level image representations using convolutional neural networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.199007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 003ebfd0-88fd-46a8-bcf7-baee9dbb1710 · outbound

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

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries DINOv2: Learning Robust Visual Features without Supervision

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.173310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3b9726-b634-41f3-9cdf-7f5366ec2e90 · outbound

This paper cites Composing object relations and attributes for image-text matching.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Composing object relations and attributes for image-text matching

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.185285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8dbc31df-52b8-4149-8ac7-4d1693105ac0 · outbound

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

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Learning transferable visual models from natural language supervision

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.182720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0493ea1-7e87-439a-836f-6e106a6499a1 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.186761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 132c63d3-4d6b-47d1-b15f-b618eacbc94f · outbound

This paper cites A new approach to cross-modal multimedia retrieval.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries A new approach to cross-modal multimedia retrieval

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.165166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5cf954cf-f3db-4a44-9348-a400436f5255 · outbound

This paper cites Cola: A benchmark for compositional text-to-image retrieval.Advances in Neural Information Processing Systems, 36:46433–46445, 2023.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Cola: A benchmark for compositional text-to-image retrieval.Advances in Neural Information Processing Systems, 36:46433–46445, 2023

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.152604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 54fef369-921b-4784-a006-efc7a17d144f · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries High- resolution image synthesis with latent diffusion models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.198754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61cb84e6-2eee-4f48-923f-686523a3c392 · outbound

This paper cites Multi-modal joint embedding for fashion product retrieval.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Multi-modal joint embedding for fashion product retrieval

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.132046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6a89fbc5-22b2-48e6-9840-fa3f50d72edd · outbound

This paper cites Coverage-based data-centric approaches for responsible and trustworthy ai.IEEE Data Eng.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Coverage-based data-centric approaches for responsible and trustworthy ai.IEEE Data Eng

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.118412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1628244f-5705-4288-81be-a87172f5b3de · outbound

This paper cites Flava: A foundational language and vision alignment model.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Flava: A foundational language and vision alignment model

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.211066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba62b6fc-fc0c-49de-be79-5ba96d9504f1 · outbound

This paper cites Data Augmentation Using GANs.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Data Augmentation Using GANs

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.215362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3834c631-7f7f-478e-8e31-5ffc135ace34 · outbound

This paper cites Interacting- enhancing feature transformer for cross-modal remote-sensing image and text retrieval.IEEE Transactions on Geoscience and Remote Sensing, 61:1–15, 2023.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Interacting- enhancing feature transformer for cross-modal remote-sensing image and text retrieval.IEEE Transactions on Geoscience and Remote Sensing, 61:1–15, 2023

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.095571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dbbc7171-f808-47df-a0ad-6c6c07c49433 · outbound

This paper cites Winoground: Probing vision and language models for visio-linguistic compositionality.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Winoground: Probing vision and language models for visio-linguistic compositionality

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.222876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 840cb99b-1bc7-408b-a4ef-c713959af5d5 · outbound

This paper cites Learning Language-Visual Embedding for Movie Understanding with Natural-Language.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Learning Language-Visual Embedding for Movie Understanding with Natural-Language

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.226247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd8c26fd-7865-4ca7-b5de-0ed6363d70a5 · outbound

This paper cites Training deep networks with synthetic data: Bridging the reality gap by domain randomization.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Training deep networks with synthetic data: Bridging the reality gap by domain randomization

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.230613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4db8cbd5-d230-464c-93f7-9d1c5948e843 · outbound

This paper cites Codexdb: Synthesizing code for query processing from natural language instructions using gpt-3 codex.Proceedings of the VLDB Endowment, 15(11):2921–2928, 2022.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Codexdb: Synthesizing code for query processing from natural language instructions using gpt-3 codex.Proceedings of the VLDB Endowment, 15(11):2921–2928, 2022

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.062904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2a11ac16-5a54-40f7-9e4b-2cf2103b15fd · outbound

This paper cites Demonstrating gpt-db: Generating query-specific and customizable code for sql processing with gpt-4.Proceedings of the VLDB Endowment, 16(12):4098–4101, 2023.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Demonstrating gpt-db: Generating query-specific and customizable code for sql processing with gpt-4.Proceedings of the VLDB Endowment, 16(12):4098–4101, 2023

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.048698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 56c70c32-b6a1-4f4a-8a01-6f232292a81d · outbound

This paper cites Diffusion Models for Tabular Data Imputation and Synthetic Data Generation.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Diffusion Models for Tabular Data Imputation and Synthetic Data Generation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.244361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8817a9e3-cdea-4f7b-90ae-a7f896f402ed · outbound

This paper cites Image-text cross- modal retrieval via modality-specific feature learning.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Image-text cross- modal retrieval via modality-specific feature learning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.036041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f3330211-bd5e-4242-952e-72fab252c0f0 · outbound

This paper cites Cluster-sensitive structured correlation analysis for web cross-modal retrieval.Neurocomputing, 168:747–760, 2015.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Cluster-sensitive structured correlation analysis for web cross-modal retrieval.Neurocomputing, 168:747–760, 2015

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.022253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b7c8f82b-1492-498a-bb58-b6a967587808 · outbound

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

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Cross- modal retrieval: a systematic review of methods and future directions.Proceedings of the IEEE, 2025

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:51.008442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d018c000-e9ef-46fc-a56f-9e8fa842977a · outbound

This paper cites Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers.Advances in neural information processing systems, 33:5776–5788, 2020.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers.Advances in neural information processing systems, 33:5776–5788, 2020

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.262678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 003373c8-4e1d-4e0e-9d04-f9b2e30ebb8b · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoencoders.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Convnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.266174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 306cb27b-073f-4b70-928f-6cc02880127b · outbound

This paper cites Improving text-audio retrieval by text-aware attention pooling and prior matrix revised loss.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Improving text-audio retrieval by text-aware attention pooling and prior matrix revised loss

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.976466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d162a88a-9f7a-42dc-b04d-459d9d2dc2c2 · outbound

This paper cites Regnet: self-regulated network for image classification.IEEE Transactions on Neural Networks and Learning Systems, 34(11):9562–9567, 2022.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Regnet: self-regulated network for image classification.IEEE Transactions on Neural Networks and Learning Systems, 34(11):9562–9567, 2022

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.962144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78bd2647-525b-4f47-aab9-15c6ed938557 · outbound

This paper cites Re- thinking label-wise cross-modal retrieval from a semantic sharing perspective.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Re- thinking label-wise cross-modal retrieval from a semantic sharing perspective

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.948591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8bb25eb5-e961-4073-bc13-0960d3a6882b · outbound

This paper cites Saliencycut: Augmenting plausible anomalies for anomaly detection.Pattern Recognition, 153:110508, 2024.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Saliencycut: Augmenting plausible anomalies for anomaly detection.Pattern Recognition, 153:110508, 2024

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.935283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5db307f8-62f4-4c37-abaa-198e90b28e8b · outbound

This paper cites Data structures and algorithms for nearest neighbor search in general metric spaces.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Data structures and algorithms for nearest neighbor search in general metric spaces

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.921375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c626ba84-4d8a-4ea7-9a66-335e54ffb417 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous mul- titask learning.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Bdd100k: A diverse driving dataset for heterogeneous mul- titask learning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.290261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 093a73e4-9905-4024-9955-534654d2cf36 · outbound

This paper cites Text-to-image Diffusion Models in Generative AI: A Survey.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Text-to-image Diffusion Models in Generative AI: A Survey

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.294956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3abe202b-f128-409b-bc8c-49c9827b9d5d · outbound

This paper cites Interactive retrieval based on faceted feedback.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Interactive retrieval based on faceted feedback

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.898139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a90a289f-4419-4615-b211-270d0e889d74 · outbound

This paper cites Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:50.303657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b712a92d-adc2-4146-be6d-90990570a4cd · outbound

This paper cites Recognize anything: A strong image tagging model.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Recognize anything: A strong image tagging model

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.885946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc589fc1-19d9-4da2-bf5c-ca6cce20f353 · outbound

This paper cites Relevance feedback in image retrieval: A comprehen- sive review.Multimedia systems, 8:536–544, 2003.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Relevance feedback in image retrieval: A comprehen- sive review.Multimedia systems, 8:536–544, 2003

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.872818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dc3c0932-c0c9-4094-a893-baaac7a13db1 · outbound

This paper cites complex.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries complex

Reference 85

Resolution: verified exact; raw_fallback, observed 2026-08-12T05:13:50.487397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4707a352-3bb5-4c85-84f4-3cab6ec2a4dd · outbound

This paper cites hard categories.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries hard categories

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.861769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6f59687e-ec73-4c55-b87b-0b3e615186a7 · outbound

This paper cites However, while CLIP (in our clip-vit-base-patch32 variant) uses a Vision Transformer for image encoding, ALIGN typically uses a CNN image encoder along with a Transformer for text.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries However, while CLIP (in our clip-vit-base-patch32 variant) uses a Vision Transformer for image encoding, ALIGN typically uses a CNN image encoder along with a Transformer for text

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.850455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 44862ebd-8d22-4ba6-b439-a2e7fadbccf4 · outbound

This paper cites an unresolved cited work.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:13:50.839036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e2dd76e6-d762-4d52-97ba-25e3efecd724 · outbound

This paper cites The generated captions are then transformed into embeddings with MiniLM [72]30, a robust text encoder widely adopted in industrial applications.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries The generated captions are then transformed into embeddings with MiniLM [72]30, a robust text encoder widely adopted in industrial applications

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.827473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f09832f3-108a-4da3-ac67-d4bbe1e21ff6 · outbound

This paper cites Its diverse object classes make it a useful benchmark for assessing the robustness of detection and retrieval models.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Its diverse object classes make it a useful benchmark for assessing the robustness of detection and retrieval models

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.815240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 08f3106d-0611-4934-8d62-bee28d29f3eb · outbound

This paper cites Its comprehensive annotations and varied scene compositions provide a challenging testbed.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Its comprehensive annotations and varied scene compositions provide a challenging testbed

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.802825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c9a1bc4f-db46-46be-8cbc-9beef33b8461 · outbound

This paper cites Its focus on rare and fine-grained objects is critical for evaluating retrieval performance on less frequent classes.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Its focus on rare and fine-grained objects is critical for evaluating retrieval performance on less frequent classes

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.789721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc3f5d7f-ec0d-42ed-8161-fe631ca9a18a · outbound

This paper cites an unresolved cited work.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:13:50.775213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2e1f6167-9cf9-404f-8ea5-aa75c944c7d0 · outbound

This paper cites an unresolved cited work.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:13:50.761918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 28c9aa30-21d8-41f9-bcda-a99997e02d9c · outbound

This paper cites This dataset challenges models to accurately map nuanced language to the corresponding image, serving as a stringent test of fine-grained retrieval performance.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries This dataset challenges models to accurately map nuanced language to the corresponding image, serving as a stringent test of fine-grained retrieval performance

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.750959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7e9add9b-2666-45da-902b-a29577210573 · outbound

This paper cites It is crucial for evaluating a model’s ability to handle zero-shot retrieval on images containing objects not commonly found in standard captioning datasets.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries It is crucial for evaluating a model’s ability to handle zero-shot retrieval on images containing objects not commonly found in standard captioning datasets

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:13:50.739954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b6530b0-6158-4239-81cb-78b93666f499 · outbound

This paper cites Left is better,.

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries Left is better,

Reference 97

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T05:13:50.728272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers