Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:42:48.902337Z
Paper Citation Record · LEDGER
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning
As of 4 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2604.08939.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T06:49:17.291168Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-03T14:58:32.924904Z
Reference resolution
13 of 13 outbound references displayed
- verified exact10
- verified fuzzy2
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fc0d6e15-4f14-493e-89e1-9845f8ba3927 · outbound
This paper cites Just pick a sign: Optimizing deep multitask models with gradient sign dropout.Advances in Neural Information Processing Systems, 33:2039–2050.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Just pick a sign: Optimizing deep multitask models with gradient sign dropout.Advances in Neural Information Processing Systems, 33:2039–2050
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T13:59:43.849924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f7355736-3337-41ad-a903-824435e96b14 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Adam: A Method for Stochastic Optimization
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T08:20:59.047032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ee2a7dcc-610b-42d3-a27d-23060c3d36c5 · outbound
This paper cites Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:20:59.026124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e23ddd4e-e4dc-4372-856d-6bf8144e9d3e · outbound
This paper cites On the Variance of the Adaptive Learning Rate and Beyond.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning On the Variance of the Adaptive Learning Rate and Beyond
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T08:20:59.066359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e0540a3f-e8c2-45ab-b36d-b1c587fc73b6 · outbound
This paper cites Decoupled Weight Decay Regularization.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Decoupled Weight Decay Regularization
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T08:20:59.071095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c0534f89-f042-4bd8-84f6-94ed90acec3f · outbound
This paper cites Adaptive Gradient Methods with Dynamic Bound of Learning Rate.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Adaptive Gradient Methods with Dynamic Bound of Learning Rate
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:20:59.042729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6829bdf3-132d-4900-b8fd-8c072007da90 · outbound
This paper cites Multi-Task Learning as a Bargaining Game.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Multi-Task Learning as a Bargaining Game
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:20:59.030964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3a38b7b6-953e-486e-a4c4-04b4f2aa534a · outbound
This paper cites Jacobian Descent for Multi-Objective Optimization.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Jacobian Descent for Multi-Objective Optimization
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:20:59.057508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 41029645-f60b-4563-92d6-a266763e3481 · outbound
This paper cites On the Convergence of Adam and Beyond.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning On the Convergence of Adam and Beyond
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:20:59.086042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b65c4361-6a51-44ff-b669-fd0546f3b824 · outbound
This paper cites Indoor segmentation and support inference from rgbd images.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Indoor segmentation and support inference from rgbd images
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T13:59:43.853041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c44f8ea3-2c30-413d-bad2-5e89a707d57f · outbound
This paper cites Ldc-mtl: Balancing multi-task learning through scalable loss discrepancy control.arXiv preprint arXiv:2502.08585.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Ldc-mtl: Balancing multi-task learning through scalable loss discrepancy control.arXiv preprint arXiv:2502.08585
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:20:59.062078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 20b205b3-0cf3-4095-9cdb-131e372c47d7 · outbound
This paper cites Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:20:59.036510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8c63d910-e1ed-47f6-b052-9cadfdcc4e81 · outbound
This paper cites Injecting Imbalance Sensitivity for Multi-Task Learning.
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Injecting Imbalance Sensitivity for Multi-Task Learning
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:20:59.010613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation cfede806-70e8-4a33-b8f8-70e0903d1fda · inbound
MOSAIC: Modality-Specific Adaptation for Incremental Continual Learning in Parkinson's Disease Gait Assessment cites this paper.
MOSAIC: Modality-Specific Adaptation for Incremental Continual Learning in Parkinson's Disease Gait Assessment Delve into the Applicability of Advanced Optimizers for Multi-Task Learning
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.926048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.