Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:55:00.551518Z
Paper Citation Record · LEDGER
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning
As of 16 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2505.16974.
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
53 of 53 outbound references displayed
- verified exact1
- verified fuzzy31
- unresolved21
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation df149757-9719-42f6-bd58-513ab091fd15 · outbound
This paper cites Qwen2.5-VL Technical Report.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Qwen2.5-VL Technical Report
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4578038d-0ddb-43cf-9d97-397ef8b17960 · outbound
This paper cites Graph of thoughts: Solving elaborate problems with large language models.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Graph of thoughts: Solving elaborate problems with large language models
Reference 2
- Resolution
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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 c2019963-a214-4127-b28d-8ac89486bb4b · outbound
This paper cites Zero-shot semantic segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Zero-shot semantic segmentation
Reference 3
- Resolution
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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 40020426-045a-4894-9068-7e192cc80a6b · outbound
This paper cites Universeg: Universal medical image segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Universeg: Universal medical image segmentation
Reference 4
- 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 49588e13-dea1-4ec5-ad0d-8333c24c4045 · outbound
This paper cites Coco-stuff: Thing and stuff classes in context.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Coco-stuff: Thing and stuff classes in context
Reference 5
- Resolution
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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 c43c090b-7aa8-44f6-92ac-1a41cc932c59 · outbound
This paper cites Open-vocabulary Panoptic Segmentation with Embedding Modulation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open-vocabulary Panoptic Segmentation with Embedding Modulation
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:55:00.904928Z
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 b198457e-bddd-4661-9983-dad10af30503 · outbound
This paper cites Cat-seg: Cost aggregation for open-vocabulary semantic segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Cat-seg: Cost aggregation for open-vocabulary semantic segmentation
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 0777d304-fb0f-4b12-97de-423a7a0ee9e0 · outbound
This paper cites The cityscapes dataset for semantic urban scene understanding.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning The cityscapes dataset for semantic urban scene understanding
Reference 8
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cc0c596-ff2e-4e0c-995a-acd6b46f4722 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aacaaa08-2934-415c-b5d3-e424452e28a6 · outbound
This paper cites Decoupling zero-shot semantic segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Decoupling zero-shot semantic segmentation
Reference 10
- Resolution
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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 83d48697-11f7-4868-a57c-3cf4d82be658 · outbound
This paper cites Open-Vocabulary Universal Image Segmentation with MaskCLIP.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open-Vocabulary Universal Image Segmentation with MaskCLIP
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cc51b88-a13b-40c0-a803-a88b04d905cb · outbound
This paper cites The pascal visual object classes (voc) challenge.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning The pascal visual object classes (voc) challenge
Reference 12
- 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 5bd78bbe-6f87-441c-aa74-09563c718b7e · outbound
This paper cites Scaling open-vocabulary image segmentation with image-level labels.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Scaling open-vocabulary image segmentation with image-level labels
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:55:05.707881Z
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 164f693e-1b65-4fc7-b736-8e0dadaeb057 · outbound
This paper cites Zero-shot semantic segmentation with decoupled one-pass network.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Zero-shot semantic segmentation with decoupled one-pass network
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 2026-08-16T06:30:59.297886+00:00.
Observation d139baad-6cbd-4e96-87c4-e70358865c18 · outbound
This paper cites Global knowledge calibration for fast open-vocabulary segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Global knowledge calibration for fast open-vocabulary segmentation
Reference 15
- Resolution
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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 7e81d9c2-8bca-4c7f-84d3-e4114901a61a · outbound
This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Scaling up visual and vision-language representation learning with noisy text supervision
Reference 16
- 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 f5f74da9-0825-4969-988a-a1e57ad87eed · outbound
This paper cites Learning mask-aware clip representations for zero-shot segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Learning mask-aware clip representations for zero-shot segmentation
Reference 17
- Resolution
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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 27036efb-9f51-4bc9-afa4-098bdee7fa1a · outbound
This paper cites Collaborative vision-text representation optimizing for open-vocabulary segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Collaborative vision-text representation optimizing for open-vocabulary segmentation
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:55:04.621215Z
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 574db350-6d7f-4060-8ecf-1d6ff4801ad9 · outbound
This paper cites Fineclip: Self-distilled region-based clip for better fine-grained understanding.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Fineclip: Self-distilled region-based clip for better fine-grained understanding
Reference 19
- 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 8320a18e-e446-40ac-95b9-c2e7059435f7 · outbound
This paper cites Language-driven semantic segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Language-driven semantic segmentation
Reference 20
- 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 b4383c59-9070-4d5a-ad65-30260036bff8 · outbound
This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning VisualBERT: A Simple and Performant Baseline for Vision and Language
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dc1f31a-8330-4627-89cf-e9498b80aeee · outbound
This paper cites Open-vocabulary semantic segmentation with mask-adapted clip.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open-vocabulary semantic segmentation with mask-adapted clip
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e3c758c-288f-4ebd-aff3-ecf00a8b8acf · outbound
This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7ad0235-1ac3-4b39-ba25-af92070b4925 · outbound
This paper cites Remoteclip: A vision language foundation model for remote sensing.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Remoteclip: A vision language foundation model for remote sensing
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 612b4647-fc5a-4c37-ae34-c2c78ff30e6d · outbound
This paper cites Visual instruction tuning.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Visual instruction tuning
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e3b7e24-d71e-4fa2-9d5c-c84289256291 · outbound
This paper cites Open-vocabulary segmentation with semantic-assisted calibration.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open-vocabulary segmentation with semantic-assisted calibration
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:55:04.111055Z
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 828f60e5-2be0-455d-b510-ef587b841767 · outbound
This paper cites Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49bfb041-e989-46cd-9089-36ccbf3c9196 · outbound
This paper cites The role of context for object detection and semantic segmentation in the wild.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning The role of context for object detection and semantic segmentation in the wild
Reference 28
- 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 0fd97115-b573-4bf3-b7eb-eb594cca3a09 · outbound
This paper cites Open vocabulary semantic segmentation with patch aligned contrastive learning.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open vocabulary semantic segmentation with patch aligned contrastive learning
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 2026-08-16T06:30:59.297886+00:00.
Observation 07b727f7-4407-4391-87fe-a8bfe5b40612 · outbound
This paper cites Multi-modal fusion transformer for end-to-end autonomous driving.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Multi-modal fusion transformer for end-to-end autonomous driving
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation 65821ae5-7d69-417f-b360-c715d3232fee · outbound
This paper cites FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40fd47e4-5ccb-4d95-8057-d06f4e269c23 · outbound
This paper cites Learning transferable visual models from natural language supervision.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Learning transferable visual models from natural language supervision
Reference 32
- Resolution
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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 58b812b2-610e-4deb-9b50-9716536baee4 · outbound
This paper cites Making monolingual sentence embeddings multilingual using knowledge distillation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Making monolingual sentence embeddings multilingual using knowledge distillation
Reference 33
- Resolution
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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 980ea46c-73a8-4e5a-8a0a-02ee1dcdcd9d · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning LLaMA: Open and Efficient Foundation Language Models
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88db6878-8b79-429d-91bb-cd8e387a1eed · outbound
This paper cites Hierarchical Open-vocabulary Universal Image Segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Hierarchical Open-vocabulary Universal Image Segmentation
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0328e41-79fb-439d-bfa9-29ee22989ef7 · outbound
This paper cites Skyscript: A large and semantically diverse vision-language dataset for remote sensing.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Skyscript: A large and semantically diverse vision-language dataset for remote sensing
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 2026-08-16T06:30:59.297886+00:00.
Observation d05a8e1a-f177-4d60-9cec-c94438c6bcee · outbound
This paper cites an unresolved cited work.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Unresolved cited work
Reference 37
- Resolution
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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 724773e4-fce9-46a7-ad91-2321f1791518 · outbound
This paper cites Towards open vocabulary learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(7):5092–5113, 2024.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Towards open vocabulary learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(7):5092–5113, 2024
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaa4a721-8054-4507-a337-1d5eaba0f8da · outbound
This paper cites Semantic projection network for zero-and few-label semantic segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Semantic projection network for zero-and few-label semantic segmentation
Reference 39
- 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 5c91a28c-d88e-495f-b5df-05e93952e17b · outbound
This paper cites Sed: A simple encoder-decoder for open-vocabulary semantic segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Sed: A simple encoder-decoder for open-vocabulary semantic segmentation
Reference 40
- 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 aa57dabe-d4a1-4abf-9dbc-0aa92135ffcd · outbound
This paper cites FG-CLIP: Fine-Grained Visual and Textual Alignment.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning FG-CLIP: Fine-Grained Visual and Textual Alignment
Reference 41
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3f26acd-faf6-4078-bc6c-5d03ddd068f7 · outbound
This paper cites Groupvit: Semantic segmentation emerges from text supervision.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Groupvit: Semantic segmentation emerges from text supervision
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:55:02.312747Z
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 3bb9c853-c64c-4a00-8b97-13231b6c07a4 · outbound
This paper cites Open- vocabulary panoptic segmentation with text-to-image diffusion models.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open- vocabulary panoptic segmentation with text-to-image diffusion models
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:55:02.077359Z
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 2f433679-d701-49d4-a2de-51dfafef1f24 · outbound
This paper cites Side adapter network for open- vocabulary semantic segmentation.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Side adapter network for open- vocabulary semantic segmentation
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:55:01.904214Z
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 7b46e5e6-873c-453c-ba2c-2b4741ec673e · outbound
This paper cites A simple baseline for open-vocabulary semantic segmentation with pre-trained vision-language model.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning A simple baseline for open-vocabulary semantic segmentation with pre-trained vision-language model
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:55:01.697431Z
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 4ff54c76-ce13-40da-86d2-51777c03cf60 · outbound
This paper cites Qwen2.5 Technical Report.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Qwen2.5 Technical Report
Reference 46
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebb9b491-ccbe-4ff3-853c-9da6848c6fd7 · outbound
This paper cites Griffiths, Yuan Cao, and Karthik Narasimhan.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Griffiths, Yuan Cao, and Karthik Narasimhan
Reference 47
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b30d5edf-523b-4beb-99bc-3da5699f1760 · outbound
This paper cites Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
Reference 48
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 953fa962-b130-421d-9353-a104c2b3654a · outbound
This paper cites an unresolved cited work.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:55:01.547819Z
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 56f356e3-2342-4a39-b49e-c1289f74e590 · outbound
This paper cites Open vocabulary scene parsing.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Open vocabulary scene parsing
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:55:01.417148Z
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 77bd9a7c-9559-4bf6-bba7-f28c2265ac16 · outbound
This paper cites A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:55:01.236717Z
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 815b547b-6a51-4578-85c1-b63601e02c2c · outbound
This paper cites Semantic understanding of scenes through the ade20k dataset.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Semantic understanding of scenes through the ade20k dataset
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:55:00.412108Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2b565aa-38f2-4291-94d4-e5c6c474e51e · outbound
This paper cites Extract free dense labels from clip.
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Extract free dense labels from clip
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:55:01.051537Z
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.