Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:47:07.326630Z
Paper Citation Record · LEDGER
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization
As of 13 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2412.03179.
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 2026-08-13T06:32:02.005865+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
57 of 57 outbound references displayed
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- verified fuzzy46
- unresolved10
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6e994f92-c9c6-437b-aba7-811bf2f50fc1 · outbound
This paper cites Multimae: Multi-modal multi-task masked autoen- coders, 2022.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Multimae: Multi-modal multi-task masked autoen- coders, 2022
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6da85bf7-9154-4a7e-a3e8-b75ecc6bab40 · outbound
This paper cites Exploring rela- tional context for multi-task dense prediction, 2021.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Exploring rela- tional context for multi-task dense prediction, 2021
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation d58f806d-83e4-4c7c-a358-6e9c16010aee · outbound
This paper cites Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4920812a-aeda-4271-8737-a84202411843 · outbound
This paper cites Schwing, Alexan- der Kirillov, and Rohit Girdhar.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Schwing, Alexan- der Kirillov, and Rohit Girdhar
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation b96ba6b8-4c24-40b0-b895-75ba8ad164db · outbound
This paper cites Se- mantic image segmentation: Two decades of research, 2023.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Se- mantic image segmentation: Two decades of research, 2023
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 30dc2116-42fe-46d0-8695-b9a427d78afc · outbound
This paper cites Everingham, L.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Everingham, L
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9e269e70-f6ae-4a5d-a409-71c247fbe5c8 · outbound
This paper cites When multi-task learning meets partial supervision: A com- puter vision review, 2024.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization When multi-task learning meets partial supervision: A com- puter vision review, 2024
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 2026-08-13T06:32:02.005865+00:00.
Observation 2b77314c-2495-489e-9883-6008622b53fa · outbound
This paper cites NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a0413e93-549f-4f22-8a4a-ef9f9c585d0d · outbound
This paper cites R-cnns for pose estimation and action detec- tion, 2014.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization R-cnns for pose estimation and action detec- tion, 2014
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1ae49d9c-b776-432f-99a0-58b462ab83a9 · outbound
This paper cites Dynamic task prioritization for multitask learning.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Dynamic task prioritization for multitask learning
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:12.160747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a1aca202-042f-47e4-ad60-ba0e13d8397d · outbound
This paper cites Unit: Multimodal mul- titask learning with a unified transformer, 2021.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Unit: Multimodal mul- titask learning with a unified transformer, 2021
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b9f874fd-9d5f-498c-ac79-c89da709a029 · outbound
This paper cites Lau, and Thomas S.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Lau, and Thomas S
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 19eb5853-e83f-4c75-b825-49bf8113c940 · outbound
This paper cites Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 6d0bbed8-f5c6-45d5-a07a-e2955dfa5930 · outbound
This paper cites Pushing the boundaries of boundary de- tection using deep learning, 2016.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Pushing the boundaries of boundary de- tection using deep learning, 2016
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation 5c3201ca-024b-4811-904c-43a0b0afc483 · outbound
This paper cites UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7b8eda0-6ce3-4c6a-bfcb-a1386624c087 · outbound
This paper cites Learning multi- ple pixelwise tasks based on loss scale balancing.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Learning multi- ple pixelwise tasks based on loss scale balancing
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 6053291b-0779-4b32-b1d7-62f43bf5f8e3 · outbound
This paper cites Transformed dynamic feature pyramid for small object detection.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Transformed dynamic feature pyramid for small object detection
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 56653743-8ea7-4ce0-b9e2-2d4ce429d96a · outbound
This paper cites Auxiliary tasks in multi- task learning, 2018.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Auxiliary tasks in multi- task learning, 2018
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation dd83813c-7903-4484-a8d7-412be366cbbd · outbound
This paper cites an unresolved cited work.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Unresolved cited work
Reference 19
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Source-reported events for the cited work
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Observation 756843e4-23d3-44c9-9243-60782e124c02 · outbound
This paper cites Rethinking boundary detection in deep learning models for medical image segmentation, 2023.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Rethinking boundary detection in deep learning models for medical image segmentation, 2023
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation a26a99cb-74f7-48c3-8e90-80123f8aa882 · outbound
This paper cites End-to-End Multi-Task Learning with Attention.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization End-to-End Multi-Task Learning with Attention
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13c2629d-1020-4b80-885b-cc1f0228faa1 · outbound
This paper cites Swin trans- former: Hierarchical vision transformer using shifted win- dows, 2021.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Swin trans- former: Hierarchical vision transformer using shifted win- dows, 2021
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4dc1f821-4a00-4a65-bd39-cb5e5da613fb · outbound
This paper cites Cross- task attention mechanism for dense multi-task learning,.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Cross- task attention mechanism for dense multi-task learning,
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 09aead47-97f8-4a1e-b39b-30793cb2a53c · outbound
This paper cites Decoupled weight decay regularization, 2019.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Decoupled weight decay regularization, 2019
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ae86475-6967-45d8-bb55-d3d027e83534 · outbound
This paper cites an unresolved cited work.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Unresolved cited work
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation 30db888f-8742-4b13-ab1d-629ddc26f334 · outbound
This paper cites Image seg- mentation using deep learning: A survey, 2020.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Image seg- mentation using deep learning: A survey, 2020
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation b0aa0f03-de47-40eb-b185-b09e938af08c · outbound
This paper cites Cross-stitch Networks for Multi-task Learning.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Cross-stitch Networks for Multi-task Learning
Reference 27
- Resolution
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Source-reported events for the cited work
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Observation f06a2746-c4fd-44a2-905a-98c2b07be543 · outbound
This paper cites Indoor segmentation and support inference from rgbd images.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Indoor segmentation and support inference from rgbd images
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation a7e4521b-2587-4ace-ac6d-0993eb1394f6 · outbound
This paper cites An overview of multi-task learning in deep neural networks, 2017.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization An overview of multi-task learning in deep neural networks, 2017
Reference 29
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Source-reported events for the cited work
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Observation d3f2dca9-32cb-402e-a747-3e1c53c58067 · outbound
This paper cites Latent multi-task architecture learning,.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Latent multi-task architecture learning,
Reference 30
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Observation 9fd3fcba-4bc8-4191-8de4-e9c91981033a · outbound
This paper cites Rusu, Neil C.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Rusu, Neil C
Reference 31
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d38cfd2f-80db-4e69-97d7-42c6f8979a52 · outbound
This paper cites an unresolved cited work.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Unresolved cited work
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation 3b167a4b-0d78-4c50-8001-a9784173c267 · outbound
This paper cites Efficient multitask dense predictor via binarization, 2024.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Efficient multitask dense predictor via binarization, 2024
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation 88d0b00c-c949-4afa-ab7b-cb63b9eb7b0a · outbound
This paper cites Learning to multi-task by active sampling,.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Learning to multi-task by active sampling,
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation 5b3de09f-4ded-4660-984d-9d3aec85deb2 · outbound
This paper cites Usb: Universal-scale object detection bench- mark, 2021.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Usb: Universal-scale object detection bench- mark, 2021
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 316e0546-348c-4279-890a-073472087e4a · outbound
This paper cites Indoor segmentation and support inference from rgbd images.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Indoor segmentation and support inference from rgbd images
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 2026-08-13T06:32:02.005865+00:00.
Observation c785fd1d-f5cf-48dc-9aee-8fa5c63f1061 · outbound
This paper cites Training data-efficient image transformers and distillation through at- tention, 2021.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Training data-efficient image transformers and distillation through at- tention, 2021
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation de0dfe7a-4490-43a3-9625-e3236cfee6a1 · outbound
This paper cites Multi-task learning for dense prediction tasks: A sur- vey.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Multi-task learning for dense prediction tasks: A sur- vey
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:09.884828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f5356f05-4e71-46cd-be3d-61328b767274 · outbound
This paper cites Mti-net: Multi-scale task interaction networks for multi-task learning, 2020.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Mti-net: Multi-scale task interaction networks for multi-task learning, 2020
Reference 39
- Resolution
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- raw_fallback, observed 2026-08-11T22:47:09.775199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d9076cb1-f9d5-49ae-9ed6-5816aeeeee03 · outbound
This paper cites Internim- age: Exploring large-scale vision foundation models with deformable convolutions, 2022.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Internim- age: Exploring large-scale vision foundation models with deformable convolutions, 2022
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation be80829f-6691-4538-8a44-0e96455682b5 · outbound
This paper cites Pyra- mid vision transformer: A versatile backbone for dense pre- diction without convolutions, 2021.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Pyra- mid vision transformer: A versatile backbone for dense pre- diction without convolutions, 2021
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:09.356242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 05856433-5099-44b2-b9f9-73f10049ebfd · outbound
This paper cites PVT v2: Improved baselines with pyramid vision transformer.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization PVT v2: Improved baselines with pyramid vision transformer
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:09.284738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 66520c3d-0a95-4fe4-8d3e-0536f41758d5 · outbound
This paper cites Gradient vaccine: Investigating and improving multi-task optimization in massively multilingual models.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Gradient vaccine: Investigating and improving multi-task optimization in massively multilingual models
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:09.207033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f4412664-11d0-44c6-bb00-dfd86c0f4ee2 · outbound
This paper cites Cbam: Convolutional block attention module, 2018.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Cbam: Convolutional block attention module, 2018
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3071582b-90cd-4a03-b636-1b29efba0d6e · outbound
This paper cites Pad-net: Multi-tasks guided prediction-and-distillation net- work for simultaneous depth estimation and scene parsing,.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Pad-net: Multi-tasks guided prediction-and-distillation net- work for simultaneous depth estimation and scene parsing,
Reference 45
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 940cdf01-c110-44ee-98c0-5d57b992c833 · outbound
This paper cites Mtformer: Multi-task learning via transformer and cross-task reasoning.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Mtformer: Multi-task learning via transformer and cross-task reasoning
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:08.823443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7ba9d275-7638-49e9-acb1-b547db21438c · outbound
This paper cites Demt: De- formable mixer transformer for multi-task learning of dense prediction, 2023.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Demt: De- formable mixer transformer for multi-task learning of dense prediction, 2023
Reference 47
- Resolution
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- raw_fallback, observed 2026-08-11T22:47:08.654748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d7b79ecd-dd80-4bd2-9d54-78d3e5766ada · outbound
This paper cites Depth anything: Unleashing the power of large-scale unlabeled data, 2024.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Depth anything: Unleashing the power of large-scale unlabeled data, 2024
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:08.538836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 23770d2a-6d36-46ff-9c15-ffc441eae5eb · outbound
This paper cites Multi-task dense prediction via mixture of low-rank experts, 2024.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Multi-task dense prediction via mixture of low-rank experts, 2024
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:08.436998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d81fce45-f2ba-45bf-a8e2-00d733cd16dd · outbound
This paper cites Invpt: Inverted pyramid multi-task transformer for dense scene understanding.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Invpt: Inverted pyramid multi-task transformer for dense scene understanding
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:08.344744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3a1786be-0114-4e44-952f-5e704064e305 · outbound
This paper cites Taskprompter: Spatial-channel multi-task prompting for dense scene understanding.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Taskprompter: Spatial-channel multi-task prompting for dense scene understanding
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:08.227199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 539b0df1-ad6e-483f-a8d9-a27069b0cac4 · outbound
This paper cites Gradient surgery for multi-task learning, 2020.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Gradient surgery for multi-task learning, 2020
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:08.141058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a29f99ca-11d3-4891-aecd-337042b37f27 · outbound
This paper cites A survey on multi-task learn- ing.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization A survey on multi-task learn- ing
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:08.086816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7ea28770-1cb1-4505-a7b0-e2bc3b889861 · outbound
This paper cites Pattern-affinitive propagation across depth, surface normal and semantic segmentation, 2019.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Pattern-affinitive propagation across depth, surface normal and semantic segmentation, 2019
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:08.042229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f2fecd18-cfd5-4dbd-99f4-a52a9ab84ff0 · outbound
This paper cites Semantic under- standing of scenes through the ade20k dataset, 2018.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Semantic under- standing of scenes through the ade20k dataset, 2018
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:07.995999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e93976f2-df70-48ad-89f0-047b8f45a994 · outbound
This paper cites an unresolved cited work.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:47:07.943241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c4c2aa2c-5a95-4328-89a9-e05a89a8bf76 · outbound
This paper cites Vlprompt: Vision-language prompting for panoptic scene graph gener- ation, 2024.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Vlprompt: Vision-language prompting for panoptic scene graph gener- ation, 2024
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:47:07.889128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.