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Paper Citation Record · LEDGER

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation

As of 12 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2501.04696.

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

pith.paper-citation-record.v1
2501.04696 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:31:45.521993Z

measured 71 of 71 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

71 of 71 outbound references displayed

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  • verified fuzzy51
  • unresolved18
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df2729d3-74be-4a1c-96ce-254e3b812b5b · outbound

This paper cites Align your prompts: Test-time prompting with distribution align- ment for zero-shot generalization.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Align your prompts: Test-time prompting with distribution align- ment for zero-shot generalization

Reference 1

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Observation b27f028e-f4d8-4cc5-92cd-7e74a0346d23 · outbound

This paper cites Llama 3 model card.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Llama 3 model card

Reference 2

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Observation 0f061f34-7f12-45b2-bdf7-407b66eaa8fc · outbound

This paper cites LandCoverNet: A global benchmark land cover classification training dataset.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation LandCoverNet: A global benchmark land cover classification training dataset

Reference 3

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Source-reported events for the cited work

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Observation b6c8ca6e-71eb-47b3-aeea-ea8f22a8936d · outbound

This paper cites Zerowaste dataset: To- wards deformable object segmentation in cluttered scenes.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Zerowaste dataset: To- wards deformable object segmentation in cluttered scenes

Reference 4

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Observation db37c4ca-eeb1-49d4-ba87-8b6ba4e7746d · outbound

This paper cites Corrosion condition state semantic segmentation dataset.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Corrosion condition state semantic segmentation dataset

Reference 5

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Source-reported events for the cited work

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Observation f3d6d3d7-9cc8-4f59-8519-b8f77feaedaa · outbound

This paper cites What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation

Reference 6

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Observation 27b3cb95-7e10-4d45-be36-a1aa53f17ce6 · outbound

This paper cites Zero-shot semantic segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Zero-shot semantic segmentation

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 61ceff27-8a0e-4586-9461-7313c026bf31 · outbound

This paper cites Smoothing mat- ters: Momentum transformer for domain adaptive semantic segmentation, 2022.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Smoothing mat- ters: Momentum transformer for domain adaptive semantic segmentation, 2022

Reference 8

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Source-reported events for the cited work

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Observation 81b62806-1425-4454-b58b-2e6bfb1c2145 · outbound

This paper cites Evolving Interpretable Visual Classifiers with Large Language Models.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Evolving Interpretable Visual Classifiers with Large Language Models

Reference 9

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Source-reported events for the cited work

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Observation 1f7eb156-4d5c-4038-88fb-3846d12289a5 · outbound

This paper cites Cat-seg: Cost aggregation for open- vocabulary semantic segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Cat-seg: Cost aggregation for open- vocabulary semantic segmentation

Reference 10

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Source-reported events for the cited work

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Observation 49792792-1779-4a65-bcfd-139406a96494 · outbound

This paper cites Semantic segmentation in art paintings.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Semantic segmentation in art paintings

Reference 11

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Source-reported events for the cited work

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Observation d58261a0-639a-4db7-bbd1-9b714929841f · outbound

This paper cites De- coupling zero-shot semantic segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation De- coupling zero-shot semantic segmentation

Reference 12

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Source-reported events for the cited work

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Observation 26b0f587-9cbf-42e3-af66-71c863cfb917 · outbound

This paper cites Atlantis: A benchmark for semantic segmentation of waterbody images.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Atlantis: A benchmark for semantic segmentation of waterbody images

Reference 13

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Source-reported events for the cited work

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Observation 79039579-9e40-458b-b497-6a3301bf25e1 · outbound

This paper cites An ensemble classification-based approach applied to retinal blood vessel segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation An ensemble classification-based approach applied to retinal blood vessel segmentation

Reference 14

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Source-reported events for the cited work

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Observation 5768098c-f058-4f03-8417-1bee46c846ab · outbound

This paper cites an unresolved cited work.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation f3242442-bb3d-4d22-b8c9-9f9cb7d05221 · outbound

This paper cites A crop/weed field im- age dataset for the evaluation of computer vision based pre- cision agriculture tasks.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation A crop/weed field im- age dataset for the evaluation of computer vision based pre- cision agriculture tasks

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation de5242b0-acdc-4cef-a619-73830c68c6a3 · outbound

This paper cites PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models

Reference 17

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Source-reported events for the cited work

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Observation efd1dc9c-e674-4a18-bed1-1defc2a6c97b · outbound

This paper cites Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation

Reference 18

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Source-reported events for the cited work

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Observation 21f0ac93-3627-4c9c-8f5f-a8164b4c7a3a · outbound

This paper cites Hrda: Context-aware high-resolution domain-adaptive semantic segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Hrda: Context-aware high-resolution domain-adaptive semantic segmentation

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 11472591-4a2b-445f-945b-ed06db80066b · outbound

This paper cites Mic: Masked image consistency for context-enhanced domain adaptation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Mic: Masked image consistency for context-enhanced domain adaptation

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 64ce4d78-adb6-493f-8d93-9d77553051a2 · outbound

This paper cites Semantic segmentation of underwater im- agery: Dataset and benchmark.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Semantic segmentation of underwater im- agery: Dataset and benchmark

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f9d13281-e48c-44c6-850e-28ec7d6c24ed · outbound

This paper cites Kvasir-instrument: Diagnostic and therapeu- tic tool segmentation dataset in gastrointestinal endoscopy.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Kvasir-instrument: Diagnostic and therapeu- tic tool segmentation dataset in gastrointestinal endoscopy

Reference 22

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Source-reported events for the cited work

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Observation e7504557-c3b4-4a7b-89d9-e2a6f14ed079 · outbound

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

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Scaling up visual and vision-language representa- tion learning with noisy text supervision

Reference 23

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Source-reported events for the cited work

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Observation b7ea5214-5e30-4a44-97fe-241f79306ecd · outbound

This paper cites Visual Prompt Tuning.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Visual Prompt Tuning

Reference 24

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Source-reported events for the cited work

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Observation 2e3dcd12-f56d-4da5-80e2-c4c11338273c · outbound

This paper cites Mistral 7B.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Mistral 7B

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21ec2b3f-2f8f-433e-be9c-02eaca43cd86 · outbound

This paper cites LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1fe7bcd1-eef9-4851-9d7f-13e3bd808497 · outbound

This paper cites Venkatesh Babu.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Venkatesh Babu

Reference 27

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Source-reported events for the cited work

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Observation 848ad4e9-f3a4-4fee-ad4b-6d991cd3b8a5 · outbound

This paper cites Proxyclip: Proxy at- tention improves clip for open-vocabulary segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Proxyclip: Proxy at- tention improves clip for open-vocabulary segmentation

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 161dfb8b-9c1a-48a9-8711-22116bdb5ff3 · outbound

This paper cites Content-consistent matching for domain adaptive semantic segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Content-consistent matching for domain adaptive semantic segmentation

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation aa27e903-b15d-4af6-9016-3d8702090f63 · outbound

This paper cites Multiple-Human Parsing in the Wild.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Multiple-Human Parsing in the Wild

Reference 30

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:31:45.335727Z digest=sha256:649938ec44ba7a0a14eeac39d4f44c5f444a89983865089be51a1af907123f63

Observation f02b3fbd-a277-41c0-b31d-5b4daf550ad9 · outbound

This paper cites an unresolved cited work.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7e06c669-049d-4f12-8b32-16869929ac5c · outbound

This paper cites Open-vocabulary semantic segmentation with mask-adapted clip.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Open-vocabulary semantic segmentation with mask-adapted clip

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 99890fb2-8213-47ba-bb8f-865d6dc0f6c0 · outbound

This paper cites Deepcrack: A deep hierarchical feature learning architec- ture for crack segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Deepcrack: A deep hierarchical feature learning architec- ture for crack segmentation

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.350315Z digest=sha256:876ed3f016877511ec12f0c23449c2720d08378f3d9f337eeae8efe8a7b8f67e

Observation 1a037cb5-9ca8-453e-ab42-e82f28ec51fe · outbound

This paper cites Bidirectional self-training with multiple anisotropic prototypes for domain adaptive semantic seg- mentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Bidirectional self-training with multiple anisotropic prototypes for domain adaptive semantic seg- mentation

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b8b0c58e-1d6d-468e-8879-746538727387 · outbound

This paper cites Uavid: A semantic segmentation dataset for uav imagery.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Uavid: A semantic segmentation dataset for uav imagery

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:46.224459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0fee5a85-2658-421d-a5f4-6d9f3f8f31b4 · outbound

This paper cites Swapprompt: Test-time prompt adaptation for vision- language models.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Swapprompt: Test-time prompt adaptation for vision- language models

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5e3bcc44-c6f0-4ce4-ba8f-5620eddecf52 · outbound

This paper cites Cryonuseg: A dataset for nuclei instance segmenta- tion of cryosectioned h&e-stained histological images.Com- puters in biology and medicine, 132:104349, 2021.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Cryonuseg: A dataset for nuclei instance segmenta- tion of cryosectioned h&e-stained histological images.Com- puters in biology and medicine, 132:104349, 2021

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 50c18946-d6ca-4805-b1a8-29f32eb13e7b · outbound

This paper cites Copt: Unsupervised domain adaptive segmentation using domain-agnostic text embeddings.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Copt: Unsupervised domain adaptive segmentation using domain-agnostic text embeddings

Reference 38

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 335658ca-c6fc-4302-8b84-cecaa8efef30 · outbound

This paper cites Towards global flood mapping onboard low cost satellites with machine learning.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Towards global flood mapping onboard low cost satellites with machine learning

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d46c03ac-86c2-467b-96ef-dfea8d7001ac · outbound

This paper cites Visual classification via description from large language models.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Visual classification via description from large language models

Reference 40

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a1ad54fe-b4a1-49b5-9f05-974db2357c58 · outbound

This paper cites Intelligent Multi-View Test Time Augmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Intelligent Multi-View Test Time Augmentation

Reference 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c87d1ed1-a2cf-4b1e-82d7-ead3507af305 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Learn- ing transferable visual models from natural language super- vision

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:46.133095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.388650Z digest=sha256:bd21d07ccba296aac34732c84cf7669cb6ab063a78dead072a013027d64b4121

Observation 1edc3af0-245e-4aba-b55f-4f4bb91088c7 · outbound

This paper cites Floodnet: A high resolution aerial imagery dataset for post flood scene understanding.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Floodnet: A high resolution aerial imagery dataset for post flood scene understanding

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:46.118571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d88cc0c2-1c7a-4b78-819c-768d42c9d0c5 · outbound

This paper cites Per- ceptual grouping in contrastive vision-language models.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Per- ceptual grouping in contrastive vision-language models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:46.103867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 733c5e93-929f-4971-8363-fd6829a595db · outbound

This paper cites Grounded sam: Assembling open-world models for diverse visual tasks,.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Grounded sam: Assembling open-world models for diverse visual tasks,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T21:31:45.401626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9ce8a9c8-ea77-4f83-9563-58159bfa5ea2 · outbound

This paper cites Guided curriculum model adaptation and uncertainty-aware evalua- tion for semantic nighttime image segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Guided curriculum model adaptation and uncertainty-aware evalua- tion for semantic nighttime image segmentation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:46.079109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b7fabc34-2bda-450a-93fb-8086a16bc1d2 · outbound

This paper cites Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T21:31:45.410974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:31:45.410974Z digest=sha256:f5f9d7266ce61433e8b94d78ffd6d81fb662acf120937bcba4155d937dcf067c

Observation 6b488693-aee2-42e7-bd61-0e0ad450be45 · outbound

This paper cites an unresolved cited work.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:31:46.062243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.416203Z digest=sha256:2ac336322170fd17e82a99303b047f49d88e1536ae1e16f4edc5a7228a5c8b2a

Observation 2eb329c4-6f15-46c5-a34c-60547062a6dc · outbound

This paper cites Pst900: Rgb- thermal calibration, dataset and segmentation network.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Pst900: Rgb- thermal calibration, dataset and segmentation network

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:46.047588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f96b629b-337a-4583-ba0f-d4ac51e88519 · outbound

This paper cites Test- time prompt tuning for zero-shot generalization in vision- language models.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Test- time prompt tuning for zero-shot generalization in vision- language models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:46.033135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.425261Z digest=sha256:54bde34b7492910aafaa75f95748a419070d6f1b733bcbd9c453a5cbb6dbc70e

Observation d8623759-8719-4873-8611-04833de4c4a1 · outbound

This paper cites an unresolved cited work.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:31:46.018500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b1e7bd44-5bfa-4645-b494-07e5b6e51fb5 · outbound

This paper cites Caltech-UCSD Birds 200.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Caltech-UCSD Birds 200

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:46.003717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.433806Z digest=sha256:c05448a5d43a299daff48d96704b1486d4778724b5d8584c97b571b3e6d79391

Observation 39421c8e-5736-4995-93e3-afbdef5d223c · outbound

This paper cites Cross-region domain adaptation for class-level alignment, 2022.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Cross-region domain adaptation for class-level alignment, 2022

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.987931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9a1d6c32-6e2b-4606-ae44-3e74f3a6ad17 · outbound

This paper cites isaid: A large- scale dataset for instance segmentation in aerial images.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation isaid: A large- scale dataset for instance segmentation in aerial images

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.972624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 36053a0b-1d69-4957-ac6f-e3f98356b9c1 · outbound

This paper cites A large-scale benchmark for food im- age segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation A large-scale benchmark for food im- age segmentation

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.956036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 98c7951b-4625-437a-b431-006b9a55dd4c · outbound

This paper cites Clip-dinoiser: Teaching clip a few dino tricks for open- vocabulary semantic segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Clip-dinoiser: Teaching clip a few dino tricks for open- vocabulary semantic segmentation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.940699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.452579Z digest=sha256:64650803ae115b240b919cf23cd04869d6d26a114edf2005871daa0051590bdb

Observation 801734c4-dfd8-44d6-969f-c2750b612919 · outbound

This paper cites A simple baseline for open- vocabulary semantic segmentation with pre-trained vision- language model.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation A simple baseline for open- vocabulary semantic segmentation with pre-trained vision- language model

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.925516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.457142Z digest=sha256:76c2b6083501b766227c577d8475989462b5689beee499cfe2324e6f8d781827

Observation 661366a4-c56f-466e-bff2-0ac67ec2859b · outbound

This paper cites Side adapter network for open-vocabulary semantic segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Side adapter network for open-vocabulary semantic segmentation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T21:31:45.461870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:31:45.461870Z digest=sha256:348a96df683249bc420635eb63987cf65fe624e7eeb504f1e2001907f0e06b56

Observation 78bd769d-4d2d-46f6-b78e-309689e2849f · outbound

This paper cites OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T21:31:45.466431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:31:45.466431Z digest=sha256:d8e768e3017aebdddbffa93a83ba4e34e166c28c115595b7d4ffccacb6751e7f

Observation dafa4179-b83d-48cc-af9b-161744464308 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.900837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.471399Z digest=sha256:1dd4ffb8fba40e0a1440d6156a6050143c3a149db8d85c75fd8f0cb3bfdd5491

Observation 0a533b62-7070-4169-be8a-a3c6823da1ab · outbound

This paper cites Kola: Carefully benchmarking world knowledge of large language models.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Kola: Carefully benchmarking world knowledge of large language models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.885545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.476280Z digest=sha256:418761e305517450f72dd65888de41dcd6cee8416b737d04d14c1e25ccaa7d1e

Observation 57af5a29-84a7-454f-8fb2-7fd5803d0807 · outbound

This paper cites Gradient surgery for multi-task learning.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Gradient surgery for multi-task learning

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.869668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bb115aa0-d0bf-4219-8da9-eda596678658 · outbound

This paper cites A simple framework for open-vocabulary segmentation and detection.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation A simple framework for open-vocabulary segmentation and detection

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.855165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.485591Z digest=sha256:2c02f5099bb61b1548183175e18c884179a8aeb2a26b3d98ed5cf79b2d8a08b0

Observation d4fcb4bf-587b-4731-a4b9-c3ca7190eebf · outbound

This paper cites Prototypical pseudo label denoising and tar- get structure learning for domain adaptive semantic segmen- tation.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Prototypical pseudo label denoising and tar- get structure learning for domain adaptive semantic segmen- tation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.840948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.490187Z digest=sha256:b6058e1ca2b1f9b41b187cbe39999984b04cde52b06e3c5b29380db846b46de5

Observation ad9bcfa0-900f-485d-9058-7de602158fed · outbound

This paper cites Test-time adaptation with CLIP reward for zero-shot gener- alization in vision-language models.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Test-time adaptation with CLIP reward for zero-shot gener- alization in vision-language models

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.825454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.494439Z digest=sha256:b2326d4bce00b7d9d8382a03d3699a8cd6a974dbb8e51d63ea77d43d9fc67790

Observation c4c2e732-2e8b-4615-8f42-506747d72f5c · outbound

This paper cites Unsupervised scene adaptation with memory regularization in vivo.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Unsupervised scene adaptation with memory regularization in vivo

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.810214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.498959Z digest=sha256:e368e67aaa270be9821f5d8e02fd940098e8214f793dbb43d2583bf74e3b8c46

Observation c69c4168-9d1b-43eb-8a6b-6be30934c997 · outbound

This paper cites Conditional prompt learning for vision-language models.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Conditional prompt learning for vision-language models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-10T21:31:45.503107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:31:45.503107Z digest=sha256:e2ad6ac0e3da3032e422de4364d8315e81eb7b974e2fd8b44e98ea459b49263a

Observation 1ace65d4-e331-4500-bbe1-e690129d9099 · outbound

This paper cites Learning to prompt for vision-language models.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Learning to prompt for vision-language models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-10T21:31:45.507546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:31:45.507546Z digest=sha256:d37b56ef936bf1db403606d5de55978a3426c4356f235d1a87811818e93cad4c

Observation 1ec385be-fc09-4b27-8721-92bab00b3e50 · outbound

This paper cites Generalized decoding for pixel, image, and language.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation Generalized decoding for pixel, image, and language

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.776166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.511722Z digest=sha256:0173e681b9c5d4346f7efed5d360885f797a6901fdf8d3e356e0543fb39eef29

Observation 55096bb8-4354-4e2c-b717-0556b08e7012 · outbound

This paper cites feathered body.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation feathered body

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.760764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.516890Z digest=sha256:20a34ebf7891e792b7c5ccbe0724fd1b7b8fb877459632978c7bacf5baa18f5d

Observation 4f8eb546-e236-4720-87de-d93df462439c · outbound

This paper cites They represent SOTA in their respective supervised and self- supervised approaches.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation They represent SOTA in their respective supervised and self- supervised approaches

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:31:45.745308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:31:45.521993Z digest=sha256:0ad3c1464a892b17530e8862f6f52fd7f7553a40ddc6fc1bdb9a83c85c9cbacf

Pith citing papers

No inbound Pith citation observations are available.