Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T23:34:18.203514Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2607.15412.
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 2026-08-01T23:34:18.203514Z
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, observed 2026-08-01T15:58:23.815109Z
A source-named dated measurement, never combined with another source.
Source: cited_works
23 of 23 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e96d536b-6d7b-441a-a21c-7d6e533e8485 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c64334a4-99c5-4f3f-9a04-f727d1e9cdb5 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Three-way trade-off in multi-objective learning: Optimization, generalization and conflict- avoidance,
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49f03468-1269-484a-bcf0-a1ec4dfd6721 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Multi-task learning as multi-objective op- timization,
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4013939-1ce1-408e-b509-31d38e769e34 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Multi-objective meta learning,
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d9249d3-fd45-4478-b62f-bf0df25a09be · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Learning with limited samples: Meta-learning and applications to com- munication systems,
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6d3a612-cc5b-4a19-8272-39ef16f00f2a · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Fairness constraints: Mechanisms for fair classification,
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aab54b34-720f-4e2c-aab8-e3abb34f07ac · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Algorithms for multicriterion optimization,
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39fba525-e6b1-40c2-a8ce-b76be5a8aa6d · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Conflict-Averse Gradient Descent for Multi-task Learning,
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50b79db7-4331-4971-8cf0-8e61f7599d84 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Steepest descent methods for multicriteria optimization,
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3346c30f-c92e-4777-b2c1-ebb56ee459ef · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Multiple-gradient descent algorithm (mgda) for multi- objective optimization,
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd08752a-9942-413e-9ec2-16f9f3140b61 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Mitigating gradient bias in multi-objective learning: A prov- ably convergent approach,
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3d268a2-0df7-4400-97d6-22097e243504 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control The multiobjective steepest descent direction is not Lipschitz continuous, but is H ¨older continuous,
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 760060cb-6365-47a7-849d-a1cb7c1f0b22 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Gradient Surgery for Multi-Task Learning,
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afac0aa5-cf97-4790-90b3-57b83c01f733 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control On the convergence of stochastic multi-objective gradient manipulation and beyond,
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9a08b38-02dc-45ad-8928-adaa2a6adc00 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Direction-oriented multi-objective learning: Simple and provable stochastic algorithms,
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6161824-b227-4391-af6d-33a5686896e3 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control FERERO: A flexible framework for preference-guided multi-objective learning,
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 262d76bf-c07e-4d51-87f3-2b952e44bfb6 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Joint gradient balancing for data ordering in finite-sum multi-objective optimization,
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1588b4c-f789-4670-9398-730ddb5ac9d9 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Variance reduction can improve trade-off in multi-objective learning,
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5e7f5bb-3e2b-40c3-9bc2-8ca332b84145 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Proximal gradient methods for multiobjective optimization and their applications,
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f12a12a-73fa-4642-b82a-6dc3d3867bc0 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control LibMTL: A python library for deep multi-task learning,
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b1f65ec-baf6-4b39-a0c0-c62214c39d70 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Deep hashing network for unsupervised domain adaptation,
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ffcedcd-7071-4f2c-8b6f-183c55fe1e40 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Unresolved cited work
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84a4769b-3df8-4b20-acdd-70d3a196edc5 · outbound
Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control Unresolved cited work
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d06520bc-e856-4573-b67b-4926484401ee · inbound
Improved Convergence Rate for Stochastic Multi-Gradient Descent: A Proof Discovered with AI Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.