Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T18:54:03.743164Z
Paper Citation Record · LEDGER
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics
As of 23 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2508.13979.
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 2026-08-22T06:32:14.747728+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
52 of 52 outbound references displayed
- verified exact2
- verified fuzzy41
- unresolved9
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f900f92d-2171-4a92-8687-f3522a18f5b2 · outbound
This paper cites Bayesian uncertainty for gradient aggre- gation in multi-task learning, 2024.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Bayesian uncertainty for gradient aggre- gation in multi-task learning, 2024
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:15.037747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c80858c0-6259-4e95-8534-843306be7e33 · outbound
This paper cites Fair Resource Allocation in Multi-Task Learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Fair Resource Allocation in Multi-Task Learning
Reference 2
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5580ad34-2415-4bff-b480-ed23eac922b7 · outbound
This paper cites nuscenes: A multi- modal dataset for autonomous driving.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics nuscenes: A multi- modal dataset for autonomous driving
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:53:57.474065Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a25ffe7-e749-420e-bca4-46d3e4270f18 · outbound
This paper cites Three-way trade-off in multi-objective learning: Op- timization, generalization and conflict-avoidance.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Three-way trade-off in multi-objective learning: Op- timization, generalization and conflict-avoidance
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:14.809561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6d1af4aa-3bcb-4f2b-a597-c87c96fbfff8 · outbound
This paper cites Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:14.516243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 936f95cc-1759-48dd-8e01-33c92727111a · outbound
This paper cites Just pick a sign: Optimizing deep multitask models with gra- dient sign dropout.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Just pick a sign: Optimizing deep multitask models with gra- dient sign dropout
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9c026344-7faa-4ef3-99f8-1c611c329b55 · outbound
This paper cites Multinet++: Multi-stream feature ag- gregation and geometric loss strategy for multi-task learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Multinet++: Multi-stream feature ag- gregation and geometric loss strategy for multi-task learning
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:14.004971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b385cc20-c187-4f7b-b23b-4c56eea9b880 · outbound
This paper cites The cityscapes dataset for semantic urban scene understanding.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics The cityscapes dataset for semantic urban scene understanding
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:13.733752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3d4234b5-ac6f-416b-b5bd-9191eae2e4d7 · outbound
This paper cites Instance-aware se- mantic segmentation via multi-task network cascades.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Instance-aware se- mantic segmentation via multi-task network cascades
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:13.539629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4754b42c-6e53-4417-9501-77c323b8f579 · outbound
This paper cites K ¨ohler, and Lukas Schott.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics K ¨ohler, and Lukas Schott
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:13.372111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c9613478-39b9-475c-95a8-e1a7ad5c2104 · outbound
This paper cites Mitigating gradi- ent bias in multi-objective learning: A provably convergent approach.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Mitigating gradi- ent bias in multi-objective learning: A provably convergent approach
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:13.137428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation db37671b-7a8e-401c-9878-0b11023f5be4 · outbound
This paper cites Dynamic task prioritization for multitask learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Dynamic task prioritization for multitask learning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:12.879755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ad8a90bf-6c79-49f7-8eb0-07dafad3e3af · outbound
This paper cites Robust Multi-Task Learning with Excess Risks.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Robust Multi-Task Learning with Excess Risks
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e4b2c3b-e995-47c6-b057-10e8daf7b59e · outbound
This paper cites Revisiting scalarization in multi-task learning: A theoretical perspective.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Revisiting scalarization in multi-task learning: A theoretical perspective
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:12.638212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 80f618b6-30a9-4fdd-ae22-0f60b343a156 · outbound
This paper cites Fuller: Unified multi-modality multi-task 3d perception via multi-level gradient calibration.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Fuller: Unified multi-modality multi-task 3d perception via multi-level gradient calibration
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:12.416778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 66c28cd5-3e3c-4e90-ab00-c46c9796cb2b · outbound
This paper cites Online knowledge distillation for multi-task learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Online knowledge distillation for multi-task learning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:12.194609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d0decbc1-dc0b-44c3-9cc9-d8861638b9bf · outbound
This paper cites Selective task group updates for multi-task optimization, 2025.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Selective task group updates for multi-task optimization, 2025
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:11.869202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c29256cc-0a6c-4247-a54d-d8376c1c7d45 · outbound
This paper cites Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:11.603718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f578907a-b8e0-472a-8e5f-378ed91359e4 · outbound
This paper cites A software package for sequential quadratic programming.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics A software package for sequential quadratic programming
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:11.334117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ec8bc640-9b8e-4bec-8ec8-d13bbf3732c5 · outbound
This paper cites In defense of the uni- tary scalarization for deep multi-task learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics In defense of the uni- tary scalarization for deep multi-task learning
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:11.058091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a60f9866-34c4-4b43-9b4e-10010f62859d · outbound
This paper cites Deep asymmetric multi-task feature learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Deep asymmetric multi-task feature learning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:10.770549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cdd831d0-f166-4805-a240-6d54f924f8d0 · outbound
This paper cites Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7382b9c-4778-451a-a11c-a6c120bcddbc · outbound
This paper cites an unresolved cited work.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T18:54:10.502906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e2e67e37-4968-49cf-a42d-69823d829780 · outbound
This paper cites Smooth Tchebycheff Scalarization for Multi-Objective Optimization.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Smooth Tchebycheff Scalarization for Multi-Objective Optimization
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa1e09da-1c74-4178-9d95-a58f98855dee · outbound
This paper cites Conflict-averse gradient descent for multi-task learn- ing.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Conflict-averse gradient descent for multi-task learn- ing
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:10.220205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5286a524-30a4-49f9-aac2-8a8c2d7bd2de · outbound
This paper cites Famo: Fast adaptive multitask optimization.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Famo: Fast adaptive multitask optimization
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:09.940922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f6bb418a-fd81-405d-bbb4-4c38b2096801 · outbound
This paper cites Towards impartial multi-task learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Towards impartial multi-task learning
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:09.604411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 46cea83d-32dd-4ae5-8b4d-b5ffeb209b9f · outbound
This paper cites Online mirror descent for tchebycheff scalarization in multi-objective optimization.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Online mirror descent for tchebycheff scalarization in multi-objective optimization
Reference 28
- Resolution
- verified exact
- raw_fallback, observed 2026-08-05T18:54:04.317888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fccbec69-fd97-49f3-b69a-0b23b39eb7df · outbound
This paper cites End- to-end multi-task learning with attention.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics End- to-end multi-task learning with attention
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:09.241997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8358954b-8c45-4d34-9855-994c3f4c0d88 · outbound
This paper cites End- to-end multi-task learning with attention.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics End- to-end multi-task learning with attention
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:09.018177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 72128008-cd30-4983-be96-67fa888c84e1 · outbound
This paper cites Auto-Lambda: Disentangling Dynamic Task Relationships.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Auto-Lambda: Disentangling Dynamic Task Relationships
Reference 31
- Resolution
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- local_arxiv, observed 2026-08-05T18:54:04.031992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation aa3d4d8b-d91c-4b59-a99a-3b6feb507aa4 · outbound
This paper cites Learning multiple tasks with multilinear relationship net- works.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Learning multiple tasks with multilinear relationship net- works
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:08.734898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 16ff64fc-7802-4741-9454-8517eaf11994 · outbound
This paper cites Cross-stitch networks for multi-task learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Cross-stitch networks for multi-task learning
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:08.462911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 87b76ee2-2401-4d95-b3d9-4bdc3e77cafe · outbound
This paper cites Multi-Task Learning as a Bargaining Game.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Multi-Task Learning as a Bargaining Game
Reference 34
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df9e1297-8ff3-4a71-b927-e70c0a455e16 · outbound
This paper cites Jacobian Descent for Multi-Objective Optimization.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Jacobian Descent for Multi-Objective Optimization
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:54:01.575701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 655399a1-4a7d-42ab-a582-ee8f0068f7e9 · outbound
This paper cites Scalarization for multi-task and multi- domain learning at scale.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Scalarization for multi-task and multi- domain learning at scale
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:08.158506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5d3f4278-b225-4324-9e20-bfb7ece10e03 · outbound
This paper cites Multi-task learning as multi-objective optimization.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Multi-task learning as multi-objective optimization
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:07.925430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b99fee47-6ae6-43ee-9c27-4ba1e011d513 · outbound
This paper cites Independent component alignment for multi-task learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Independent component alignment for multi-task learning
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:07.693237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e070d9e3-16b1-4595-9fbb-3a6d24557ac4 · outbound
This paper cites Go4align: Group optimization for multi-task alignment, 2024.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Go4align: Group optimization for multi-task alignment, 2024
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:07.472517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bd225054-f212-4211-b3bb-445f4b9e35f8 · outbound
This paper cites Indoor segmentation and support inference from rgbd images.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Indoor segmentation and support inference from rgbd images
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:07.222167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f6012375-67d5-49a2-adf1-a146879d45a4 · outbound
This paper cites Which tasks should be learned together in multi-task learning? In Proceedings of the 37th International Conference on Machine Learning , pages 9120–9132.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Which tasks should be learned together in multi-task learning? In Proceedings of the 37th International Conference on Machine Learning , pages 9120–9132
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:06.916766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e8127f29-82b1-4ffb-84db-6d8a080f93a4 · outbound
This paper cites Regularizing Deep Multi-Task Networks using Orthogonal Gradients.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Regularizing Deep Multi-Task Networks using Orthogonal Gradients
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:54:02.505837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e789953-ec84-41d4-935c-43b1a495be40 · outbound
This paper cites Discovering struc- ture in multiple learning tasks: The tc algorithm.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Discovering struc- ture in multiple learning tasks: The tc algorithm
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:06.638264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 911fe922-bf2c-447a-90df-3fe3b5738df7 · outbound
This paper cites Unitr: A unified and efficient multi-modal transformer for bird’s-eye-view repre- sentation.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Unitr: A unified and efficient multi-modal transformer for bird’s-eye-view repre- sentation
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:06.411707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 56fc51f5-7d68-4dd6-aaa0-2da2b0b96f0e · outbound
This paper cites Direction-oriented multi-objective learning: Simple and provable stochastic al- gorithms.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Direction-oriented multi-objective learning: Simple and provable stochastic al- gorithms
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:06.114971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c952b3b3-16a3-43f1-9ced-5175caa056fa · outbound
This paper cites Do current multi-task optimization methods in deep learning even help? Advances in neural information processing systems, 35:13597–13609, 2022.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Do current multi-task optimization methods in deep learning even help? Advances in neural information processing systems, 35:13597–13609, 2022
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:05.798385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation eba0eb3a-df0a-4c14-8ac8-2db0e5fcd3cc · outbound
This paper cites Multi-objective meta learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Multi-objective meta learning
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:05.603417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ca608c0f-98cd-4bcd-a6c5-e92d786a2bc7 · outbound
This paper cites Taskprompter: Spatial-channel multi-task prompting for dense scene understanding.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Taskprompter: Spatial-channel multi-task prompting for dense scene understanding
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:05.307592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 46b0ac1a-85c5-49be-8f38-7d1e896632e1 · outbound
This paper cites Gradient surgery for multi-task learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Gradient surgery for multi-task learning
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:05.114923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0b2f59c7-487a-49b7-bc8c-751afc8eff94 · outbound
This paper cites Achievement-based training progress balancing for multi-task learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Achievement-based training progress balancing for multi-task learning
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:04.938839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7813c054-7877-472e-84c4-387e03ed7bd6 · outbound
This paper cites Taskonomy: Disentangling task transfer learning.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Taskonomy: Disentangling task transfer learning
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:04.755841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e7e0d97f-5e46-4c6a-b33a-39748061cb3a · outbound
This paper cites Pyramid scene parsing network.
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Pyramid scene parsing network
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:54:04.509909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.