Paper Citation Record · LEDGER

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone

As of 14 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2502.00217.

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

pith.paper-citation-record.v1
2502.00217 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:55:16.923519Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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 exact0
verified fuzzy15
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e0b8900-7fa1-4245-b316-e4ebb2f84e9f · outbound

This paper cites Just pick a sign: Optimizing deep multitask models with gradient sign dropout.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Just pick a sign: Optimizing deep multitask models with gradient sign dropout

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.277223Z

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 aa1b066a-010a-4027-90b1-2e894a11b176 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone The cityscapes dataset for semantic urban scene understanding

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T19:55:16.808923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca1b901-070d-4f1c-9fb0-e340c78397db · outbound

This paper cites Multiple-gradient descent algorithm (mgda) for multiobjective optimization.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Multiple-gradient descent algorithm (mgda) for multiobjective optimization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.257871Z

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 d5708693-411c-468b-9259-c7ba5db4bc02 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T19:55:16.817738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b90c6786-79de-4e48-849a-7a618c375faf · outbound

This paper cites Mask r-cnn.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Mask r-cnn

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T19:55:16.822134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1505de63-0160-4cd0-a5cd-556af4cabe48 · outbound

This paper cites an unresolved cited work.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:55:17.231960Z

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 8c2c076f-e279-4b9e-82bb-806563a4433c · outbound

This paper cites Multi-task learning using uncertainty to weigh losses for scene geometry and semantics.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T19:55:16.830862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9792c14-6ec6-41da-b084-e878caf1aaeb · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Adam: A Method for Stochastic Optimization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T19:55:16.835027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f94d36-0331-4981-92f6-2dcb37f410a9 · outbound

This paper cites Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T19:55:16.839556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c3ad359-f39b-4ff8-add5-7e184a58554d · outbound

This paper cites Mtmamba: Enhancing multi-task dense scene understanding by mamba-based decoders.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Mtmamba: Enhancing multi-task dense scene understanding by mamba-based decoders

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.212282Z

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 ef1f616c-d3b6-4c67-8c30-ab2b5da828f1 · outbound

This paper cites Conflict-averse gradient descent for multi-task learning.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Conflict-averse gradient descent for multi-task learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.200355Z

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 26e2906a-3a78-4b7d-8375-fd2b60d3ec8d · outbound

This paper cites Famo: Fast adaptive multitask optimization.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Famo: Fast adaptive multitask optimization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.189283Z

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 72484afc-7ef1-4069-9261-cec4ebe5b2bc · outbound

This paper cites Towards impartial multi-task learning.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Towards impartial multi-task learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.176281Z

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 e79d41f0-9054-456a-8a66-18bfbc4eb3e5 · outbound

This paper cites an unresolved cited work.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:55:17.163332Z

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 9dd34d52-2bc1-4eb0-95db-4746f7ffd1b5 · outbound

This paper cites Deep learning face attributes in the wild.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Deep learning face attributes in the wild

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T19:55:16.864848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 667faedd-712a-4be5-8017-ac133c33bb0d · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Fully convolutional networks for semantic segmentation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T19:55:16.868664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7ab6734-944b-49c7-b94a-00b79bdac299 · outbound

This paper cites Multi-Task Learning as a Bargaining Game.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Multi-Task Learning as a Bargaining Game

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T19:55:16.872799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba82d28e-938b-4c85-9415-75eba713f1c8 · outbound

This paper cites and Koltun, V.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone and Koltun, V

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.136615Z

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 b9f4d012-1fcf-49b8-8203-5bfe2013b990 · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Indoor segmentation and support inference from rgbd images

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.123472Z

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 3ce16ca8-26ab-4f2d-8d31-974b5d0fc98d · outbound

This paper cites and Zhang, A.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone and Zhang, A

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.110574Z

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 d005711a-f927-400e-9af3-391b54f137b1 · outbound

This paper cites ptflops: a flops counting tool for neural networks in pytorch framework, 2018-2024.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone ptflops: a flops counting tool for neural networks in pytorch framework, 2018-2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.098343Z

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 2bb83cff-fc82-4450-825b-8d9a0c3dbca2 · outbound

This paper cites an unresolved cited work.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T19:55:16.893918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f678d07e-588b-4400-85bd-6a5cc821dec3 · outbound

This paper cites Multi-task learning for dense prediction tasks: A survey.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Multi-task learning for dense prediction tasks: A survey

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.078029Z

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 f1584432-83ff-456d-b7bd-201882151b3c · outbound

This paper cites Direction-oriented multi-objective learning: Simple and provable stochastic algorithms.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Direction-oriented multi-objective learning: Simple and provable stochastic algorithms

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.063997Z

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 7d3317a5-a1e0-4691-8dd2-e609ee0d7b6e · outbound

This paper cites Multi-task reinforcement learning with soft modularization.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Multi-task reinforcement learning with soft modularization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T19:55:16.907016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18544085-0580-446f-90ed-db3fd4097c65 · outbound

This paper cites Gradient surgery for multi-task learning.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Gradient surgery for multi-task learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.039601Z

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 bb91fc5b-fc1c-4c1c-b429-1c02da8054ab · outbound

This paper cites Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.025168Z

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 6596d8de-40bd-4a02-a0d6-3e5d52c45e7a · outbound

This paper cites Sgw-based multi-task learning in vision tasks.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone Sgw-based multi-task learning in vision tasks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:55:17.011422Z

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 ce8b91ec-be6b-42f6-b3bc-57591737b531 · outbound

This paper cites write newline.

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone write newline

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T19:55:16.923519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.