Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:52:34.595212Z
Paper Citation Record · LEDGER
What Holds Back Open-Vocabulary Segmentation?
As of 16 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2508.04211.
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 2026-08-16T06:30:59.297886+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
66 of 66 outbound references displayed
- verified exact1
- verified fuzzy51
- unresolved13
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 08bccb0c-6ff9-4ea0-b57a-86b2bb22ab30 · outbound
This paper cites Learn- ing to generate text-grounded mask for open-world semantic segmentation from only image-text pairs.
What Holds Back Open-Vocabulary Segmentation? Learn- ing to generate text-grounded mask for open-world semantic segmentation from only image-text pairs
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:45.262064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 836284c2-f191-4e0e-a75b-72a72fa9aa63 · outbound
This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs.
What Holds Back Open-Vocabulary Segmentation? Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs
Reference 2
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- raw_fallback, observed 2026-08-06T00:52:45.027960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9490c158-dae6-4c24-be8a-979aa108f2ec · outbound
This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.
What Holds Back Open-Vocabulary Segmentation? Encoder-decoder with atrous separable convolution for semantic image segmentation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:52:29.372193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 806af3ec-7367-49d1-b12a-6b8585006ea6 · outbound
This paper cites PaLI: A Jointly-Scaled Multilingual Language-Image Model.
What Holds Back Open-Vocabulary Segmentation? PaLI: A Jointly-Scaled Multilingual Language-Image Model
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38cc5346-8fc7-4c0c-9949-1213fcfecf2c · outbound
This paper cites Per- pixel classification is not all you need for semantic segmen- tation.
What Holds Back Open-Vocabulary Segmentation? Per- pixel classification is not all you need for semantic segmen- tation
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:44.798621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 191b2a45-989c-4ac5-a9d7-ecd897f398b1 · outbound
This paper cites Schwing, Alexan- der Kirillov, and Rohit Girdhar.
What Holds Back Open-Vocabulary Segmentation? Schwing, Alexan- der Kirillov, and Rohit Girdhar
Reference 6
- Resolution
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- raw_fallback, observed 2026-08-06T00:52:44.496946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b86c4654-8a19-4e16-8be3-ba7c5dda47d2 · outbound
This paper cites Reproducible scal- ing laws for contrastive language-image learning.
What Holds Back Open-Vocabulary Segmentation? Reproducible scal- ing laws for contrastive language-image learning
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0e8ead4f-bce7-4f73-9fad-538cb6374bad · outbound
This paper cites Cat- seg: Cost aggregation for open-vocabulary semantic seg- mentation.
What Holds Back Open-Vocabulary Segmentation? Cat- seg: Cost aggregation for open-vocabulary semantic seg- mentation
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:43.982668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ba68cbba-3e4f-4171-8486-81cfbd7e7c2b · outbound
This paper cites The cityscapes dataset for semantic urban scene understanding.
What Holds Back Open-Vocabulary Segmentation? The cityscapes dataset for semantic urban scene understanding
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:43.786629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3428a1a7-d1b6-4b94-980a-ac9be6c4f41e · outbound
This paper cites Deepglobe 2018: A challenge to parse the earth through satellite images.
What Holds Back Open-Vocabulary Segmentation? Deepglobe 2018: A challenge to parse the earth through satellite images
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:43.649919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d23e21c5-cdd9-4ef5-bc62-9d80e5a84c3f · outbound
This paper cites De- coupling zero-shot semantic segmentation.
What Holds Back Open-Vocabulary Segmentation? De- coupling zero-shot semantic segmentation
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:43.434392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b6a04b08-0d49-4c0f-bdee-f522c436d2c6 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
What Holds Back Open-Vocabulary Segmentation? An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 12
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b671e2d3-bbda-4482-b01f-b35146de6900 · outbound
This paper cites The pascal visual object classes (voc) challenge.
What Holds Back Open-Vocabulary Segmentation? The pascal visual object classes (voc) challenge
Reference 13
- Resolution
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- raw_fallback, observed 2026-08-06T00:52:43.192557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 803d38f5-55ea-470f-97a1-6d2f039e898a · outbound
This paper cites Data filtering networks.
What Holds Back Open-Vocabulary Segmentation? Data filtering networks
Reference 14
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- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:42.949925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b169b8a2-47d1-4296-b7cb-2e6e936684e2 · outbound
This paper cites Scal- ing open-vocabulary image segmentation with image-level labels.
What Holds Back Open-Vocabulary Segmentation? Scal- ing open-vocabulary image segmentation with image-level labels
Reference 15
- Resolution
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- raw_fallback, observed 2026-08-06T00:52:42.773828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ed2a5457-1b21-40d3-98ef-d176f69ad4a8 · outbound
This paper cites Fast r-cnn.
Reference 16
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28f0228b-916a-437b-8bcb-46114c6a224e · outbound
This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.
What Holds Back Open-Vocabulary Segmentation? Rich feature hierarchies for accurate object detection and semantic segmentation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:52:30.798509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e996761-a417-4339-b74e-a6c084f6b76f · outbound
This paper cites Open-vocabulary semantic segmentation with decou- pled one-pass network.
What Holds Back Open-Vocabulary Segmentation? Open-vocabulary semantic segmentation with decou- pled one-pass network
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:42.602852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8928180e-a749-424b-94c3-48294938e91a · outbound
This paper cites Simultaneous detection and segmentation.
What Holds Back Open-Vocabulary Segmentation? Simultaneous detection and segmentation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:42.424121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7b531e68-4a63-4063-91ee-4e5b4de7c130 · outbound
This paper cites Mask r-cnn.
Reference 20
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb57fcd8-7492-4ae9-a712-4f9bb45c9809 · outbound
This paper cites Scaling up visual and vision-language representa- tion learning with noisy text supervision.
What Holds Back Open-Vocabulary Segmentation? Scaling up visual and vision-language representa- tion learning with noisy text supervision
Reference 21
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- raw_fallback, observed 2026-08-06T00:52:42.257739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bbfe1c44-789c-4386-9490-e9c8499326e8 · outbound
This paper cites Collaborative vision-text rep- resentation optimizing for open-vocabulary segmentation.
What Holds Back Open-Vocabulary Segmentation? Collaborative vision-text rep- resentation optimizing for open-vocabulary segmentation
Reference 22
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- raw_fallback, observed 2026-08-06T00:52:42.097447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 582cd08c-efe5-4ffb-a139-d357dc1c09ad · outbound
This paper cites Diffusion models for open-vocabulary segmen- tation.
What Holds Back Open-Vocabulary Segmentation? Diffusion models for open-vocabulary segmen- tation
Reference 23
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- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:41.938234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b0e45d05-49fb-4239-967d-437a7bdff061 · outbound
This paper cites Panoptic segmentation.
What Holds Back Open-Vocabulary Segmentation? Panoptic segmentation
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:41.770170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f9097f64-90bd-45d4-a0c6-1c5b4c294a00 · outbound
This paper cites TIPS: Text-image pretraining with spatial awareness.
What Holds Back Open-Vocabulary Segmentation? TIPS: Text-image pretraining with spatial awareness
Reference 25
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- raw_fallback, observed 2026-08-06T00:52:41.605623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 477dca5c-e68f-415e-9416-57a2f288c93c · outbound
This paper cites Ladder-style densenets for semantic segmentation of large natural im- ages.
What Holds Back Open-Vocabulary Segmentation? Ladder-style densenets for semantic segmentation of large natural im- ages
Reference 26
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- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:41.435465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4491d09f-d931-4c9a-8077-51e366e8a527 · outbound
This paper cites Clearclip: Decom- posing clip representations for dense vision-language infer- ence.
What Holds Back Open-Vocabulary Segmentation? Clearclip: Decom- posing clip representations for dense vision-language infer- ence
Reference 27
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- raw_fallback, observed 2026-08-06T00:52:41.352324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0e0f052c-91ce-45d1-86ae-46aed6951a9b · outbound
This paper cites Proxyclip: Proxy attention improves clip for open-vocabulary segmentation.
What Holds Back Open-Vocabulary Segmentation? Proxyclip: Proxy attention improves clip for open-vocabulary segmentation
Reference 28
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- raw_fallback, observed 2026-08-06T00:52:41.177292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7febfaa7-c6ec-411e-ac58-35f10061e988 · outbound
This paper cites Mask dino: Towards a unified transformer-based framework for object detection and segmentation.
What Holds Back Open-Vocabulary Segmentation? Mask dino: Towards a unified transformer-based framework for object detection and segmentation
Reference 29
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- raw_fallback, observed 2026-08-06T00:52:40.999444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b63f0c58-d510-47d8-8436-0afb64394c38 · outbound
This paper cites An inverse scal- ing law for clip training.
What Holds Back Open-Vocabulary Segmentation? An inverse scal- ing law for clip training
Reference 30
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- raw_fallback, observed 2026-08-06T00:52:40.854883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8e31c34b-255f-46d7-829e-7ef98889aa10 · outbound
This paper cites Scaling language-image pre-training via masking.
What Holds Back Open-Vocabulary Segmentation? Scaling language-image pre-training via masking
Reference 31
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- raw_fallback, observed 2026-08-06T00:52:40.701891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a6293139-0be3-4d4b-8f0f-b2935d7c2a7f · outbound
This paper cites Clip surgery for better explainability with enhancement in open- vocabulary tasks.
What Holds Back Open-Vocabulary Segmentation? Clip surgery for better explainability with enhancement in open- vocabulary tasks
Reference 32
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- raw_fallback, observed 2026-08-06T00:52:40.572494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 528ef065-1a13-44b8-aa2c-30253bcbda81 · outbound
This paper cites Mask-adapter: The devil is in the masks for open-vocabulary segmentation.
What Holds Back Open-Vocabulary Segmentation? Mask-adapter: The devil is in the masks for open-vocabulary segmentation
Reference 33
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- raw_fallback, observed 2026-08-06T00:52:40.447287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bdbb79db-9480-45c4-b2e8-d5de898b0779 · outbound
This paper cites Open-vocabulary semantic segmentation with mask-adapted clip.
What Holds Back Open-Vocabulary Segmentation? Open-vocabulary semantic segmentation with mask-adapted clip
Reference 34
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- raw_fallback, observed 2026-08-06T00:52:40.274097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a475f8be-bc5c-48a6-8619-975b54c639b7 · outbound
This paper cites Open-vocabulary semantic segmentation with mask-adapted clip.
What Holds Back Open-Vocabulary Segmentation? Open-vocabulary semantic segmentation with mask-adapted clip
Reference 35
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- raw_fallback, observed 2026-08-06T00:52:40.125545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 39e0a733-9c49-49b9-b587-4c69162f4bc3 · outbound
This paper cites Microsoft coco: Common objects in context.
What Holds Back Open-Vocabulary Segmentation? Microsoft coco: Common objects in context
Reference 36
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- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:39.964322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c6eb9401-e27e-4d16-bac8-804b39a030fb · outbound
This paper cites A convnet for the 2020s.
What Holds Back Open-Vocabulary Segmentation? A convnet for the 2020s
Reference 37
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- unresolved
- no resolver link, observed 2026-08-06T00:52:32.581521Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4d70e7d-22b5-410f-9134-7ac259c53b70 · outbound
This paper cites Fully convolutional networks for semantic segmentation.
What Holds Back Open-Vocabulary Segmentation? Fully convolutional networks for semantic segmentation
Reference 38
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- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:39.547599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a3a73361-f290-4831-869e-faf0fe434571 · outbound
This paper cites DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-supervised Panoptic Segmentation.
What Holds Back Open-Vocabulary Segmentation? DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-supervised Panoptic Segmentation
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T00:52:34.783235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9e9685cb-ec8b-4ecc-a3f0-fac3c5f2ba6e · outbound
This paper cites Open vocabulary semantic segmentation with patch aligned con- trastive learning.
What Holds Back Open-Vocabulary Segmentation? Open vocabulary semantic segmentation with patch aligned con- trastive learning
Reference 40
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- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:39.375088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5d0c50ea-f768-48e0-a300-6db953751d91 · outbound
This paper cites Silc: Improving vision language pretraining with self-distillation.
What Holds Back Open-Vocabulary Segmentation? Silc: Improving vision language pretraining with self-distillation
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:39.067966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3aa5fea6-f1d4-4906-960b-c919d4f88d33 · outbound
This paper cites The mapillary vistas dataset for semantic understanding of street scenes.
What Holds Back Open-Vocabulary Segmentation? The mapillary vistas dataset for semantic understanding of street scenes
Reference 42
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- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:38.809930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2018411c-89ea-4c54-8328-24697be00b76 · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
What Holds Back Open-Vocabulary Segmentation? Learning transferable visual models from natural language supervi- sion
Reference 43
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- raw_fallback, observed 2026-08-06T00:52:38.630423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 11137e0e-28dc-4b4a-b836-327fee72a551 · outbound
This paper cites Faster r-cnn: Towards real-time object detection with region 10 proposal networks.
What Holds Back Open-Vocabulary Segmentation? Faster r-cnn: Towards real-time object detection with region 10 proposal networks
Reference 44
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- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:38.451570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5604ea4-ce5d-458b-b4c1-ef69dec4152f · outbound
This paper cites U- net: Convolutional networks for biomedical image segmen- tation.
What Holds Back Open-Vocabulary Segmentation? U- net: Convolutional networks for biomedical image segmen- tation
Reference 45
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- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:38.221021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a8068a9a-a40b-40db-b9a6-cc7bc9746531 · outbound
This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.
What Holds Back Open-Vocabulary Segmentation? Laion-5b: An open large-scale dataset for training next generation image-text models
Reference 46
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- raw_fallback, observed 2026-08-06T00:52:37.974048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 45d2c4fc-cb69-406c-95b0-d4f156f6fb3d · outbound
This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.
What Holds Back Open-Vocabulary Segmentation? EVA-CLIP: Improved Training Techniques for CLIP at Scale
Reference 47
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- unresolved
- no resolver link, observed 2026-08-06T00:52:33.344662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70e6db1c-7dcc-490a-a551-7aa169efb490 · outbound
This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.
What Holds Back Open-Vocabulary Segmentation? SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Reference 48
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- no resolver link, observed 2026-08-06T00:52:33.410715Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c88a9c5d-c065-4fe1-b737-8ad4fde952dd · outbound
This paper cites Sclip: Rethink- ing self-attention for dense vision-language inference.
What Holds Back Open-Vocabulary Segmentation? Sclip: Rethink- ing self-attention for dense vision-language inference
Reference 49
- Resolution
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- raw_fallback, observed 2026-08-06T00:52:37.752484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c2bd8ac5-750f-44d1-bd2f-0c67b30f4a03 · outbound
This paper cites Max-deeplab: End-to-end panoptic segmentation with mask transformers.
What Holds Back Open-Vocabulary Segmentation? Max-deeplab: End-to-end panoptic segmentation with mask transformers
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:37.540092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c76e95e2-6bc2-474d-b1d4-d9f15dea236b · outbound
This paper cites Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions.
What Holds Back Open-Vocabulary Segmentation? Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:37.290839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 05ab4961-86c0-4bb0-962d-9764b056adc4 · outbound
This paper cites CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction.
What Holds Back Open-Vocabulary Segmentation? CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:52:33.694344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77c76741-f118-462a-a791-8a604c287ea7 · outbound
This paper cites Sed: A simple encoder-decoder for open- vocabulary semantic segmentation.
What Holds Back Open-Vocabulary Segmentation? Sed: A simple encoder-decoder for open- vocabulary semantic segmentation
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:37.081625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 20bc680c-a86b-4c4c-95a3-433049a44c8f · outbound
This paper cites Demystifying CLIP Data.
What Holds Back Open-Vocabulary Segmentation? Demystifying CLIP Data
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:52:33.858924Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93334985-0d14-4e54-b9ef-d32c1ac5be10 · outbound
This paper cites Groupvit: Semantic segmentation emerges from text supervision.
What Holds Back Open-Vocabulary Segmentation? Groupvit: Semantic segmentation emerges from text supervision
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:52:33.926973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff5eb810-0a4c-40a1-bfb7-9b5b3008d332 · outbound
This paper cites Learning open-vocabulary seman- tic segmentation models from natural language supervision.
What Holds Back Open-Vocabulary Segmentation? Learning open-vocabulary seman- tic segmentation models from natural language supervision
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:36.887396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d83e1658-cb16-4259-839f-99cdcec37ce1 · outbound
This paper cites Open-vocabulary panop- tic segmentation with text-to-image diffusion models.
What Holds Back Open-Vocabulary Segmentation? Open-vocabulary panop- tic segmentation with text-to-image diffusion models
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:36.682637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4171ffa6-65a6-44fd-b784-e765653b5266 · outbound
This paper cites Side adapter network for open-vocabulary semantic segmentation.
What Holds Back Open-Vocabulary Segmentation? Side adapter network for open-vocabulary semantic segmentation
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:36.445159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 61698048-ca34-41ef-b0c6-5d71330e0cee · outbound
This paper cites k-means mask transformer.
What Holds Back Open-Vocabulary Segmentation? k-means mask transformer
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:36.230408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 81525f0d-9bc9-46d3-95d8-9e82f4efd066 · outbound
This paper cites Convolutions die hard: Open-vocabulary seg- mentation with single frozen convolutional clip.
What Holds Back Open-Vocabulary Segmentation? Convolutions die hard: Open-vocabulary seg- mentation with single frozen convolutional clip
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:35.965193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3e68a02c-c5da-417c-bb19-73f39cd6b51f · outbound
This paper cites Lit: Zero-shot transfer with locked-image text tuning.
What Holds Back Open-Vocabulary Segmentation? Lit: Zero-shot transfer with locked-image text tuning
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:35.717899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4bdd62b8-597d-4771-a03c-e0ee645b8ff3 · outbound
This paper cites Sigmoid loss for language image pre-training.
What Holds Back Open-Vocabulary Segmentation? Sigmoid loss for language image pre-training
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:35.475649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 16226b19-de43-419b-be29-22bd2c83b221 · outbound
This paper cites Pyramid scene parsing network.
What Holds Back Open-Vocabulary Segmentation? Pyramid scene parsing network
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:52:34.493510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65388892-487d-40ee-b5a5-11a02ad08bbf · outbound
This paper cites Scene parsing through ade20k dataset.
What Holds Back Open-Vocabulary Segmentation? Scene parsing through ade20k dataset
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:35.190577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0afb6c39-3ebe-45bb-804c-ce44ccc79abd · outbound
This paper cites Extract free dense labels from clip.
What Holds Back Open-Vocabulary Segmentation? Extract free dense labels from clip
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:52:34.939613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 650fa148-71b0-4ef2-a8f0-2b8fddfef6f2 · outbound
This paper cites an unresolved cited work.
What Holds Back Open-Vocabulary Segmentation? Unresolved cited work
Reference 755
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-06T00:52:39.793598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.