Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T04:28:07.373236Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2508.03566.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T04:28:07.373236Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
60 of 60 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 613e25d0-9afa-4ec2-a8f3-2d5c8841972e · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks The Common Crawl dataset
Reference 1
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Observation 5e440728-847e-41ee-80ea-f4f8d527ae58 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks The screen-to-shot project on the Github
Reference 2
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Observation e7bd03e5-a6fc-46f4-abb3-f6438ecf3a01 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Gemini: A Family of Highly Capable Multimodal Models
Reference 3
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Observation 904a1b57-53cd-43ba-89df-cda578e37e60 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 4
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Observation a1117447-d63d-442a-9b55-9016b5d0641a · outbound
Reference 5
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Observation 12ac9ad5-912b-450a-b605-050b8e0996d6 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Hallucination of Multimodal Large Language Models: A Survey
Reference 6
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Observation 235af87d-973a-4e8d-8e8a-40ce33618365 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 7
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Observation edafe414-c022-436e-bdbc-8da846b89a23 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell
Reference 8
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Observation 0bba4b53-82b4-4acb-b10e-9c186980900a · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 9
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Observation 3e026b81-7d1b-4a26-8fef-93b5a08d73f3 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 10
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Observation b84e0392-3fa5-4140-8765-fd81cb4d8199 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 11
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Observation a4125290-c11e-4caf-825e-e97bdf4ada9d · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 12
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Observation ceec7797-0d75-4b00-9525-124d90541a56 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 13
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Observation 7d90538d-eba7-4885-b975-98b9393a2fd3 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 14
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Observation 8fd64e21-ec93-489f-b1d9-1af447d7de4a · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks InCoder: A Generative Model for Code Infilling and Synthesis
Reference 15
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Unavailable: canonical work link unavailable.
Observation 43ed78b0-fb41-4543-9ea8-97143c155a1f · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 16
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Observation 219743e8-5cd2-4c17-82cb-113826ab4827 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 17
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Observation 47b25b3e-22c1-4de3-86a1-3c306d65124c · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Reference 18
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Observation aa90ee18-b647-4c95-9f7f-1af007f0ff8e · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 19
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Observation 130fa9ae-0fc4-4b2f-8892-85200afbb1f7 · outbound
Reference 20
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Observation 487eab75-c3d3-4a64-80c1-68a934ee0358 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 21
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Observation 9d337c83-6e0a-4869-a156-58e77a4f5ba3 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 22
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Observation beebdf68-da89-4a9f-bc6d-4a0851eee541 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 23
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Observation 94fc235c-ca20-4561-9332-7fda0ffdc2ff · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 24
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Observation 9b9bd0cd-6d0e-4181-932c-ef1c036a2fae · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 25
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Observation 4bfe3430-938e-4c7f-9b0c-da55ad13e7d7 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset
Reference 26
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Observation c5bda58b-e7fc-4b5a-ba51-fbeedacf6184 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 27
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Observation d46fb1fa-2356-45ca-bc2d-9768f0483152 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 28
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Observation 72e53f04-c5d8-46ed-b792-8508b046b0f9 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 29
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Observation bb45bb66-d957-44d0-9cfa-066335aacbba · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks DeepSeek-VL: Towards Real-World Vision-Language Understanding
Reference 30
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Observation fc798f24-d7f8-4431-9881-68ecd81582a0 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Reference 31
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Unavailable: canonical work link unavailable.
Observation 504907b5-2393-42bd-93e3-fbe89906d962 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks GPT-4 Technical Report
Reference 32
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Observation 58af786d-0e2c-4680-ac74-c8e7eda5fa7e · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 33
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Observation 049f7b19-0b42-4055-9122-f0c7068a1bc6 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Training language models to follow instructions with human feedback
Reference 34
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Observation 1826bdc4-92cc-4a8f-b8f3-aced7bf7e52d · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 35
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Observation 2df93466-44e1-4d01-8102-245eb1f0fccd · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 36
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Observation 2cd17152-98d6-4b4a-abf5-9b050491a781 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Sketch2code: Generating a website from a paper mockup
Reference 37
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Observation ae28c946-58ac-4e53-a396-d6872cb0a782 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 38
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Observation f3da19d2-c7a2-4e1d-bbdc-3308c7a7d1d3 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 39
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Observation 682649fe-7395-405d-a806-1951e1fe6aad · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 40
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Observation e79711a1-2485-490a-8fb8-0d5fbba66458 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 41
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Observation 0cb9f8f9-1dde-49ff-bba6-28b2830814eb · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 42
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Observation 709d9532-bcf9-47de-87eb-a715ab074b74 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 43
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Observation 22a1ef48-11b6-49a0-8d21-8bc30e4257a6 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 44
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Observation 3b265c3d-e828-48f0-bb50-a8b0809b18b9 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 45
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Observation dd16cf56-73fa-4952-b932-bf000d505dda · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 46
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Observation 9c64944f-c5fe-43c7-8eab-c8a06cc2c138 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach
Reference 47
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Observation 0e17ba5a-d6f5-4d26-832e-f98b4dbc7730 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 48
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Observation bc78164d-7846-4ec3-8c73-cc77959bd0a6 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks MRWeb: An Exploration of Generating Multi-Page Resource-Aware Web Code from UI Designs
Reference 49
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Observation e1342b64-8fdc-499a-82f9-37d34ccc1bb0 · outbound
Reference 50
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Observation 758e9e67-e1bc-4fc8-9eda-88d08b3a2718 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 51
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Observation acf27ba8-f03c-48d0-b68a-a4e4e15e1b10 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Qwen2.5-Omni Technical Report
Reference 52
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Observation ea1b2d10-6ff3-4c27-91df-77505b1a679c · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 53
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Observation 4716fb13-ba89-4747-b94c-eb228d464c3a · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Xing, Xiaodan Liang, and Zhiqiang Shen
Reference 54
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Observation 40ddda87-f784-436b-a208-e1f4fafcab88 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 55
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Observation 0217434b-6edd-4eff-b6b9-20c5d92e826d · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Unresolved cited work
Reference 57
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Observation 89c1828c-df69-4e48-ab84-a0ee7a9e14ee · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks Bridging Design and Development with Automated Declarative UI Code Generation
Reference 60
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Observation 8a48fb06-9d3c-48a0-a4ec-56cd5bcb94be · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 2023
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Observation 16bd5968-3816-48a6-8922-729aefe0dea6 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, ASE 2024, Sacramento, CA, USA, October 27 - November 1, 2024
Reference 2024
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Observation 1ca2ddcc-3f02-40b4-b7e8-54601dd8df69 · outbound
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks In Proceedings of the International World Wide Web Conference, WWW 2025, Sydney, April 28–May 2, 2024
Reference 2025
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No inbound Pith citation observations are available.