Paper Citation Record · LEDGER

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models

As of 12 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2501.16769.

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

pith.paper-citation-record.v1
2501.16769 v5

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:54:06.184306Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

32 of 32 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f91db66-a518-4fdf-860f-52a5e47d5eb1 · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Flamingo: a Visual Language Model for Few-Shot Learning

Reference 1

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Source-reported events for the cited work

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Observation 75a1b2de-421c-4634-b4f1-63f5649ac2c3 · outbound

This paper cites Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, and Amanda Askell et al.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, and Amanda Askell et al

Reference 2

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Observation 14b24a7e-c4b8-45a2-8fe7-8882bff9b5dd · outbound

This paper cites Zero-shot semantic segmentation.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Zero-shot semantic segmentation

Reference 3

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Observation 6592b3b3-f1d7-4c29-b710-2bf5831a6497 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Emerging properties in self-supervised vision transformers

Reference 4

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Observation 494d0fdf-2882-40a7-9ad2-78a5bd9a130f · outbound

This paper cites An empirical study of training self-supervised vision transformers.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models An empirical study of training self-supervised vision transformers

Reference 5

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Observation e0d3caa3-c80b-4217-bb43-ab3005c413db · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language un- derstanding.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Bert: Pre-training of deep bidirectional transformers for language un- derstanding

Reference 6

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Observation e064962a-193e-4628-a3a3-5882205b3903 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models PaLM: Scaling Language Modeling with Pathways

Reference 7

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Observation aeab8e8e-f33f-4dba-a973-9bb8a0982768 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models On the Opportunities and Risks of Foundation Models

Reference 8

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Observation aea3d2e5-b556-4e1b-893e-29fce153770f · outbound

This paper cites The pascal visual object classes (voc) challenge.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models The pascal visual object classes (voc) challenge

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:54:06.609581Z

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Observation 1ff063a3-5c47-47a7-87c1-5bb2d5cce502 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Bootstrap your own latent-a new approach to self-supervised learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:54:06.595119Z

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Observation 5c880cc9-ef6c-45ab-9088-a5222b9a5247 · outbound

This paper cites Context-aware feature generation for zero-shot semantic segmentation.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Context-aware feature generation for zero-shot semantic segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:54:06.579730Z

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Observation 4ee4c634-c2d1-45ab-9c05-fd954edc82c1 · outbound

This paper cites Simultaneous detection and segmentation.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Simultaneous detection and segmentation

Reference 12

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Source-reported events for the cited work

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Observation a61a390e-fbd0-4240-ab9c-1f6b8eecca94 · outbound

This paper cites Perceiver IO: A General Architecture for Structured Inputs & Outputs.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Perceiver IO: A General Architecture for Structured Inputs & Outputs

Reference 13

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Observation 3bda8739-f5dc-4d22-bccd-2de83f9df1ad · outbound

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

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Scaling up visual and vision-language representation learning with noisy text supervision

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:54:06.549229Z

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Observation 52a6fcf3-2f09-4983-acdc-ff0452739398 · outbound

This paper cites Deep spectral methods: A surprisingly strong baseline for unsupervised semantic segmentation and localization.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Deep spectral methods: A surprisingly strong baseline for unsupervised semantic segmentation and localization

Reference 15

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Observation aeca5109-b1ce-4b1d-be25-f52da5c75bf6 · outbound

This paper cites NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Reference 16

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Observation 7bf68296-1297-4492-9a37-1627f9515d2e · outbound

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

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Learning transferable visual models from natural language supervision

Reference 17

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Observation 62cbd38c-5f81-4833-ada5-b73883eda648 · outbound

This paper cites Conditional networks for few-shot semantic segmenta- tion.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Conditional networks for few-shot semantic segmenta- tion

Reference 18

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Observation 89ddb77d-8a7a-46de-a332-b0c8c9969170 · outbound

This paper cites Vision trans- formers for dense prediction.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Vision trans- formers for dense prediction

Reference 19

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Observation 9f59eb25-6a67-435b-8c08-e17b1739f039 · outbound

This paper cites U-net: Convolu- tional networks for biomedical image segmentation.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models U-net: Convolu- tional networks for biomedical image segmentation

Reference 20

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Observation 215dbaaf-f008-412d-9e1f-e8cc61a7ec10 · outbound

This paper cites One-shot learning for semantic segmentation.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models One-shot learning for semantic segmentation

Reference 21

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Observation f59dcb86-ce78-4e8f-9a82-93f5a7a8aa4b · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Fully convolutional networks for semantic segmentation

Reference 22

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Observation 1b89e5fb-d2f1-4467-8b86-95314d4991b9 · outbound

This paper cites Unsupervised salient object detection with spectral cluster voting.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Unsupervised salient object detection with spectral cluster voting

Reference 23

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This paper cites Oreshkin, and Martin Jagersand.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Oreshkin, and Martin Jagersand

Reference 24

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Observation 30a4347c-7849-4d82-a040-d8d4fcc0dfab · outbound

This paper cites Implicit neural representations with periodic activation functions.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Implicit neural representations with periodic activation functions

Reference 25

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Observation 92d4fcef-9cba-492e-a833-59694bc3adc8 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Fourier features let networks learn high frequency functions in low dimensional domains

Reference 26

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Observation dd9e2a18-daa9-4bda-af36-143e4919a601 · outbound

This paper cites Menick, Serkan Cabi, S.M.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Menick, Serkan Cabi, S.M

Reference 27

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Observation 2dff4929-f9d5-43f0-87b2-dfefc5905b92 · outbound

This paper cites Attention is all you need.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Attention is all you need

Reference 28

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Observation 9e57a93a-c9bb-4a9f-baff-d7e282489966 · outbound

This paper cites Panet: Few-shot image semantic segmentation with prototype alignment.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Panet: Few-shot image semantic segmentation with prototype alignment

Reference 29

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This paper cites Semantic projection network for zero-and few-label semantic segmentation.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Semantic projection network for zero-and few-label semantic segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:54:06.326957Z

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This paper cites Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language.

Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

Reference 31

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Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models Unresolved cited work

Reference 32

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.