Paper Citation Record · LEDGER

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods

As of 12 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2412.12092.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.12092 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:21:47.763351Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact6
verified fuzzy0
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ecfb091e-d5a7-43f3-a22a-fca252569460 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.565181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7592737a-5392-49a7-85ff-1016f398aba1 · outbound

This paper cites write newline.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.574192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e373b4e9-aa81-46d9-9247-bb6c75882f92 · outbound

This paper cites an unresolved cited work.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:21:48.416879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2793c01-5141-4ce0-82f6-7a7dd9bdd997 · outbound

This paper cites an unresolved cited work.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:21:48.398286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2c10b64-29f9-4601-835c-b5f1c0937c75 · outbound

This paper cites an unresolved cited work.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:21:48.381559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c7bd4f68-d892-4114-bc35-46b00d1086e8 · outbound

This paper cites an unresolved cited work.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:21:48.365932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b94ac19-bec3-45e7-ab12-b307a68ded1f · outbound

This paper cites GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.606878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 723bb327-0b2a-4e4b-abd9-44ff7d5f0c13 · outbound

This paper cites DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.618805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd9aeb0b-0e34-4cc5-89bb-1ef5e7f6b80b · outbound

This paper cites RotoGrad: Gradient Homogenization in Multitask Learning.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods RotoGrad: Gradient Homogenization in Multitask Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.625133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1788037-4051-4d2f-92bf-11bed3670ef0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Adam: A Method for Stochastic Optimization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.630995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1962bcac-fb42-4820-bae1-cfad6bdbe64f · outbound

This paper cites UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:21:48.146374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 378f6cb0-1490-43c9-9a31-d8a4e126633f · outbound

This paper cites an unresolved cited work.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:21:48.348996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5812636e-5472-4a5b-b7e5-35ae49846202 · outbound

This paper cites an unresolved cited work.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:21:48.330368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 84e20450-6dbd-4d51-8cda-23a73c800ebe · outbound

This paper cites an unresolved cited work.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:21:48.313170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 35321d46-1eda-4c94-bf26-e7309d7927ed · outbound

This paper cites Multi-Label Learning to Rank through Multi-Objective Optimization.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Multi-Label Learning to Rank through Multi-Objective Optimization

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:21:48.122514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b53a66de-db0b-45b2-a2be-e73b8268da22 · outbound

This paper cites Cross-stitch Networks for Multi-task Learning.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Cross-stitch Networks for Multi-task Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.663887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57cdfda6-3b66-462a-9b17-2f264fc4ea28 · outbound

This paper cites Constrained Reinforcement Learning Has Zero Duality Gap.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Constrained Reinforcement Learning Has Zero Duality Gap

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:21:48.069096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d76af85c-9153-4552-be43-d7bda7f9ff02 · outbound

This paper cites an unresolved cited work.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:21:48.295206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c28c8e66-6c63-4564-b50c-c52482cb4e55 · outbound

This paper cites an unresolved cited work.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:21:48.269212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cfc42192-416b-4e1c-a9f3-42a0522e38c5 · outbound

This paper cites OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.698411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb6ee05a-bc5f-466f-b3e0-78ed8523886d · outbound

This paper cites Responsive Safety in Reinforcement Learning by PID Lagrangian Methods.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Responsive Safety in Reinforcement Learning by PID Lagrangian Methods

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.705080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ffac2ec-35da-49fd-b715-270596f23690 · outbound

This paper cites STEM: Unleashing the Power of Embeddings for Multi-task Recommendation.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods STEM: Unleashing the Power of Embeddings for Multi-task Recommendation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:21:47.983105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f038ac8d-1607-4aad-aaac-2b1a6840074a · outbound

This paper cites an unresolved cited work.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:21:48.241006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 262a6870-a416-4bb5-b921-08651fdad301 · outbound

This paper cites Multi-objective Learning to Rank by Model Distillation.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Multi-objective Learning to Rank by Model Distillation

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:21:47.944725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 801a9e0e-4362-4517-bb66-bbae93d772ef · outbound

This paper cites Reward Constrained Policy Optimization.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Reward Constrained Policy Optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.731838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9806e2c3-dd01-407a-8186-f8b9039616f2 · outbound

This paper cites Multi-Task Deep Recommender Systems: A Survey.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Multi-Task Deep Recommender Systems: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.737295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7167e032-c909-4feb-9de3-70b6712cb7f1 · outbound

This paper cites An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:21:47.871611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6c898aa1-2655-46d5-a040-ae0214fa3ffe · outbound

This paper cites Gradient Surgery for Multi-Task Learning.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Gradient Surgery for Multi-Task Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.756321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f030b71e-2894-48f5-86b8-ded6d119b915 · outbound

This paper cites Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.763351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.