Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:12:53.537076Z
Paper Citation Record · LEDGER
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels
As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2507.09008.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
68 of 68 outbound references displayed
- verified exact2
- verified fuzzy50
- unresolved16
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e939571c-f7aa-4a38-beff-a0d8814a57e8 · outbound
This paper cites Segment anything,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Segment anything,
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:47.435640Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d2ea5c3-4eb1-48f9-a468-9a755974fdb4 · outbound
This paper cites Learning transferable visual models from natural language supervision,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Learning transferable visual models from natural language supervision,
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:47.467939Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 604c6303-c8df-4c57-8fa1-1247aa00cbfa · outbound
This paper cites USE: Universal segment embeddings for open-vocabulary image segmentation,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels USE: Universal segment embeddings for open-vocabulary image segmentation,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.641274Z
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.
Observation 570f6c65-65bc-4e6f-8950-29d9b5cc1d2b · outbound
This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Kosmos-2: Grounding Multimodal Large Language Models to the World
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:47.694303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0972c07f-9e28-4b69-8a05-f34903b0e3ee · outbound
This paper cites Visual instruction tuning,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Visual instruction tuning,
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d2fc472-b2c7-4a61-ab32-247439c94dd5 · outbound
This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:47.839163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6abe44b-6f75-4a99-a5dd-c92f51d78425 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:47.918687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfe4db6d-e711-454c-8cb5-fd19d075efd1 · outbound
This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:47.979027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c65e65d-cdd7-4782-9078-df9af625b2d1 · outbound
This paper cites Demystifying CLIP Data.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Demystifying CLIP Data
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:48.081748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f0ab608-b68b-443d-bf39-2cccec70503a · outbound
This paper cites Foundation models meet visualizations: Challenges and opportunities,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Foundation models meet visualizations: Challenges and opportunities,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.584345Z
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.
Observation db037c1b-5910-4229-a470-e1a04dcf6b20 · outbound
This paper cites Comparing visual-interactive labeling with active learning: An ex- perimental study,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Comparing visual-interactive labeling with active learning: An ex- perimental study,
Reference 11
- 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.
Observation 70890ed4-46cb-4712-99ff-f191b30dae6e · outbound
This paper cites Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations, clustering, and active learning,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations, clustering, and active learning,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.537893Z
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.
Observation 4a956770-5edf-411b-a37e-e1a65f20fdb2 · outbound
This paper cites Vassl: A visual analytics toolkit for social spambot labeling,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Vassl: A visual analytics toolkit for social spambot labeling,
Reference 13
- 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.
Observation 25916626-d46d-4af9-acd6-7d2907ced815 · outbound
This paper cites V AC-CNN: A visual analytics system for comparative studies of deep convolutional neural networks,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels V AC-CNN: A visual analytics system for comparative studies of deep convolutional neural networks,
Reference 14
- 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.
Observation 13235a62-246c-4ae3-85f3-7d2658a30bf3 · outbound
This paper cites On the cost of interactions in interactive visual machine learning,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels On the cost of interactions in interactive visual machine learning,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.483396Z
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.
Observation f2f91786-147d-4878-baa9-f2447ac4125c · outbound
This paper cites A simulation-based approach for quantifying the impact of interactive label correction for machine learning,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels A simulation-based approach for quantifying the impact of interactive label correction for machine learning,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.447403Z
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.
Observation 10721556-2346-4df6-897c-7c2aefd28b27 · outbound
This paper cites Aila: Attentive interactive labeling assistant for document classification through attention-based deep neural networks,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Aila: Attentive interactive labeling assistant for document classification through attention-based deep neural networks,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.426077Z
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.
Observation 8e645cf2-52a5-4b3f-9ac6-094908cc185e · outbound
This paper cites Onela- beler: A flexible system for building data labeling tools,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Onela- beler: A flexible system for building data labeling tools,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.404153Z
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.
Observation 6b39276e-6f5e-4dca-b82b-89d6cc559761 · outbound
This paper cites A unified process for visual-interactive labeling,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels A unified process for visual-interactive labeling,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.382793Z
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.
Observation 5fed149b-8b75-4428-8df1-94fc8a4e4ec3 · outbound
This paper cites Improving the usability of hierarchical representations for interactively labeling large image data sets,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Improving the usability of hierarchical representations for interactively labeling large image data sets,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.365562Z
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.
Observation b7eb266a-39dd-4119-9718-d6ff179b9741 · outbound
This paper cites Increasing the speed and accuracy of data labeling through an ai assisted interface,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Increasing the speed and accuracy of data labeling through an ai assisted interface,
Reference 21
- 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.
Observation 4c454777-7f3d-4ec8-9321-498ea56d40ca · outbound
This paper cites Interactive visual labelling versus active learning: an experimental comparison,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Interactive visual labelling versus active learning: an experimental comparison,
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.
Observation 197238b4-5878-4eeb-b640-17d85706ad69 · outbound
This paper cites Inter-active learning of ad-hoc classifiers for video visual analytics,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Inter-active learning of ad-hoc classifiers for video visual analytics,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.298507Z
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.
Observation dcbfa7bc-3b92-4a48-bf76-151950542d25 · outbound
This paper cites Oodanalyzer: Interactive analysis of out-of-distribution samples,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Oodanalyzer: Interactive analysis of out-of-distribution samples,
Reference 24
- 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.
Observation 53777fe5-2e4e-4b1f-b427-f0542a1151af · outbound
This paper cites Towards better caption supervision for object detection,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Towards better caption supervision for object detection,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.258153Z
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.
Observation 886a834d-4be5-4d8d-8ab0-14cd874f1ae3 · outbound
This paper cites Diagnosing ensemble few-shot classifiers,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Diagnosing ensemble few-shot classifiers,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.238006Z
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.
Observation 187c721e-575d-4e26-8f96-2250e6f18efa · outbound
This paper cites Trafficvis: visualizing organized activity and spatio-temporal patterns for detecting and labeling human trafficking,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Trafficvis: visualizing organized activity and spatio-temporal patterns for detecting and labeling human trafficking,
Reference 27
- 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.
Observation 2cccd6bd-39c7-4265-a6c4-9b949fd0b08c · outbound
This paper cites In- teractive graph construction for graph-based semi-supervised learning,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels In- teractive graph construction for graph-based semi-supervised learning,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.194387Z
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.
Observation 439dd526-43e7-4594-b796-33c0efc9037f · outbound
This paper cites Interactive reweighting for mitigating label quality issues,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Interactive reweighting for mitigating label quality issues,
Reference 29
- 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.
Observation e6daebaa-a665-43fa-8ccc-47786c1da4b3 · outbound
This paper cites Enhancing single-frame supervision for better temporal action localization,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Enhancing single-frame supervision for better temporal action localization,
Reference 30
- 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.
Observation 1828d4ef-9828-4987-b6b1-7f8126f43108 · outbound
This paper cites Perspective: leveraging human understanding for identifying and characterizing image atypicality,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Perspective: leveraging human understanding for identifying and characterizing image atypicality,
Reference 31
- 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.
Observation 9a6cef3a-ee4c-4a6c-b101-a6a63b4b0055 · outbound
This paper cites Classifier-guided visual correction of noisy labels for image classification tasks,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Classifier-guided visual correction of noisy labels for image classification tasks,
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e1a1479-2e38-418f-9f22-e63b9d5e676c · outbound
This paper cites AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding
Reference 33
- Resolution
- verified exact
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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.
Observation 6edee74a-f80a-4e67-92a3-f561b49cc40d · outbound
This paper cites SUNY: A visual interpretation framework for convolutional neural networks from a necessary and sufficient perspective,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels SUNY: A visual interpretation framework for convolutional neural networks from a necessary and sufficient perspective,
Reference 34
- 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.
Observation 4b856399-67be-4331-a476-a7f81ec875ba · outbound
This paper cites An interactive method to improve crowdsourced annotations,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels An interactive method to improve crowdsourced annotations,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.066048Z
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.
Observation 36dad77f-26e1-4190-8ddd-4c917780c56d · outbound
This paper cites Interactive correction of mislabeled training data,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Interactive correction of mislabeled training data,
Reference 36
- 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.
Observation 9c367188-befd-43c8-8fbf-6eecb53752a2 · outbound
This paper cites Labelvizier: Interactive validation and relabeling for technical text annotations,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Labelvizier: Interactive validation and relabeling for technical text annotations,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:57.023426Z
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.
Observation 40f519f7-c95f-40d1-9b99-1c744ff4dcdc · outbound
This paper cites SLIM: Spuriousness mitigation with minimal human annotations,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels SLIM: Spuriousness mitigation with minimal human annotations,
Reference 38
- 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.
Observation b23427ac-c266-4fa5-8eef-781a6ad2481e · outbound
This paper cites Visual concept programming: A visual analytics approach to injecting human intelligence at scale,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Visual concept programming: A visual analytics approach to injecting human intelligence at scale,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:56.862919Z
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.
Observation 1a0ef3f8-7470-4bc0-82cb-4663b61aa3c5 · outbound
This paper cites Open-vocabulary instance segmentation via robust cross-modal pseudo-labeling,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Open-vocabulary instance segmentation via robust cross-modal pseudo-labeling,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:56.790913Z
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.
Observation 0b7d0e51-fb02-41df-af32-ecb803137e67 · outbound
This paper cites A simple baseline for open-vocabulary semantic segmentation with pre- trained vision-language model,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels A simple baseline for open-vocabulary semantic segmentation with pre- trained vision-language model,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:56.704579Z
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.
Observation 03d59a7b-9a29-48c8-a953-b67d8b055041 · outbound
This paper cites Groupvit: Semantic segmentation emerges from text supervision,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Groupvit: Semantic segmentation emerges from text supervision,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:56.635497Z
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.
Observation b1f9b376-573e-409c-a103-999ae673368f · outbound
This paper cites Open- vocabulary panoptic segmentation with text-to-image diffusion models,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Open- vocabulary panoptic segmentation with text-to-image diffusion models,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:56.560116Z
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.
Observation 0a52f96a-c3c5-4fa2-a7c4-f4c09f1ccbe5 · outbound
This paper cites Side adapter network for open-vocabulary semantic segmentation,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Side adapter network for open-vocabulary semantic segmentation,
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:51.524120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b242100-5685-49af-b45d-4e370866c1b3 · outbound
This paper cites Generalized decoding for pixel, image, and language,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Generalized decoding for pixel, image, and language,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:56.441652Z
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.
Observation 5baec6cb-6385-4b91-90bc-af3d541ab465 · outbound
This paper cites Extract free dense labels from clip,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Extract free dense labels from clip,
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:51.698917Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff106067-337b-4055-8054-93c6cd3c96cc · outbound
This paper cites Proxyclip: Proxy attention improves clip for open-vocabulary segmentation,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Proxyclip: Proxy attention improves clip for open-vocabulary segmentation,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:56.202398Z
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.
Observation d95c114f-8231-45bd-9b2f-4e9fe1c9737d · outbound
This paper cites Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:51.884999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29007e3c-7661-4174-ac31-a1a57145bb94 · outbound
This paper cites Reco: Retrieve and co-segment for zero-shot transfer,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Reco: Retrieve and co-segment for zero-shot transfer,
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:51.973747Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 386574c5-1932-4d61-9f72-15bf9689f952 · outbound
This paper cites Diffusion models for open-vocabulary segmentation,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Diffusion models for open-vocabulary segmentation,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:55.861779Z
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.
Observation 557cd8a8-f254-4bfb-8b92-719600a95503 · outbound
This paper cites Fossil: Free open-vocabulary semantic segmentation through synthetic references retrieval,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Fossil: Free open-vocabulary semantic segmentation through synthetic references retrieval,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:55.629769Z
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.
Observation 6879b7c4-9d40-4aa5-a3b8-45122a36ddde · outbound
This paper cites kNN-CLIP: Retrieval enables training-free segmentation on continually expanding large vocabularies,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels kNN-CLIP: Retrieval enables training-free segmentation on continually expanding large vocabularies,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:55.454858Z
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.
Observation 8f8e9123-3c00-424c-b3fc-7cdf86bba86c · outbound
This paper cites Image-to-image matching via foundation models: A new perspective for open-vocabulary semantic segmentation,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Image-to-image matching via foundation models: A new perspective for open-vocabulary semantic segmentation,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:55.324015Z
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.
Observation 049f6de6-64ed-4b9b-b83c-446eb7124fa1 · outbound
This paper cites Phrasecut: Language- based image segmentation in the wild,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Phrasecut: Language- based image segmentation in the wild,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:55.223574Z
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.
Observation a3810c5c-ace8-45e2-a750-7f36d17f9a41 · outbound
This paper cites spacy: Industrial-strength natural language processing in python,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels spacy: Industrial-strength natural language processing in python,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:55.121871Z
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.
Observation dd6e092a-e12b-4a97-923d-1f13e470bbab · outbound
This paper cites Umap: Uniform manifold approximation and projection,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Umap: Uniform manifold approximation and projection,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:55.028365Z
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.
Observation 8e944a5d-01ca-4274-828c-e51ae22bccf3 · outbound
This paper cites hdbscan: Hierarchical density based clustering.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels hdbscan: Hierarchical density based clustering
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:54.939743Z
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.
Observation a7905e3f-9425-4f60-9783-daa037173c7c · outbound
This paper cites Visualizing data using t-sne.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Visualizing data using t-sne
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:52.761888Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bab752d-e278-4e3f-a3c6-2b02a8d1bdc6 · outbound
This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels A density-based algorithm for discovering clusters in large spatial databases with noise,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:54.808341Z
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.
Observation 76f61e52-cc69-447d-ac24-4411e16c4781 · outbound
This paper cites A Closer Look at the Explainability of Contrastive Language-Image Pre-training.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels A Closer Look at the Explainability of Contrastive Language-Image Pre-training
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:52.955240Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c6d0cb4-b167-4664-a17b-76e7e6e20372 · outbound
This paper cites De-Diffusion Makes Text a Strong Cross-Modal Interface.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels De-Diffusion Makes Text a Strong Cross-Modal Interface
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:12:53.689134Z
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.
Observation a23fcce4-a5fa-4a6c-b8f8-d01a07b59727 · outbound
This paper cites Looking for trouble: Analyzing classifier behavior via pattern divergence,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Looking for trouble: Analyzing classifier behavior via pattern divergence,
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:54.683972Z
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.
Observation 1982a983-e50a-4cd0-8695-91f9516a3b30 · outbound
This paper cites Sliceteller: A data slice-driven approach for machine learning model validation,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Sliceteller: A data slice-driven approach for machine learning model validation,
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:54.526455Z
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.
Observation c827b9db-bc73-4114-b854-56f4be99ad24 · outbound
This paper cites Fairness-aware range queries for selecting unbiased data,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Fairness-aware range queries for selecting unbiased data,
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:54.393569Z
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.
Observation d7650dce-ea27-4283-a00c-129906cd2f4d · outbound
This paper cites Tip-Adapter: Training-free adaption of clip for few-shot classification.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Tip-Adapter: Training-free adaption of clip for few-shot classification
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:53.365343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e77ff5bf-a4fb-4b47-9347-c1096010fca5 · outbound
This paper cites UpSet: visualization of intersecting sets,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels UpSet: visualization of intersecting sets,
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:54.258217Z
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.
Observation c1fd3115-ca8e-4385-bf18-f3de320a9559 · outbound
This paper cites Coco-stuff: Thing and stuff classes in context,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Coco-stuff: Thing and stuff classes in context,
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:54.143270Z
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.
Observation 1564796e-305c-48ca-bf53-425beb6e467d · outbound
This paper cites The cityscapes dataset for semantic urban scene understanding,.
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels The cityscapes dataset for semantic urban scene understanding,
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:12:54.056061Z
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.
Pith citing papers
No inbound Pith citation observations are available.