Paper Citation Record · LEDGER

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 3 inbound Pith citation observations for arXiv:2411.18615.

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

pith.paper-citation-record.v1
2411.18615 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:06:09.023142Z

measured 43 of 43 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:34:55.089754Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T14:15:29.234678Z

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy25
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 293aaaa3-c32a-4caa-ae8c-8b8a11fff76a · outbound

This paper cites Segnet: A deep convolutional encoder-decoder architecture for image segmentation.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Segnet: A deep convolutional encoder-decoder architecture for image segmentation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.346020Z

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 ed0e6c8b-2749-49c0-a754-281a5d64d6e4 · outbound

This paper cites Sparse multi-task reinforcement learning.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Sparse multi-task reinforcement learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.338753Z

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 342ed0c3-9247-4d99-b9f9-661ba6d96b59 · outbound

This paper cites Sam fails to segment anything? – sam- adapter: Adapting sam in underperformed scenes: Camou- flage, shadow, and more, 2023.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Sam fails to segment anything? – sam- adapter: Adapting sam in underperformed scenes: Camou- flage, shadow, and more, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.331697Z

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 9e269cd5-a0d9-4418-874c-0c57594c95c5 · outbound

This paper cites Just pick a sign: Optimizing deep multitask models with gra- dient sign dropout.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Just pick a sign: Optimizing deep multitask models with gra- dient sign dropout

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.323190Z

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 e5d3a967-e3d4-4cd4-8415-ca5c459cc05f · outbound

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

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective The cityscapes dataset for semantic urban scene understanding

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:08.928598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63a10601-9a4f-4992-bd7b-75afc00ee6c4 · outbound

This paper cites Indoor semantic segmentation using depth in- formation, 2013.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Indoor semantic segmentation using depth in- formation, 2013

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.311046Z

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 537e07c1-47da-4bb3-923d-b92757493df8 · outbound

This paper cites Imagenet: A large-scale hierarchical im- age database.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Imagenet: A large-scale hierarchical im- age database

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.302230Z

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 e833b021-5560-4e4d-88e4-735ca7b39cc5 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:08.937239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0650d54-1ccd-42d3-87de-6ec3e61f21f4 · outbound

This paper cites On interpretability of artificial neural networks: A survey.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective On interpretability of artificial neural networks: A survey

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.293860Z

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 76a03b92-5b83-430f-8d16-9d261104fd57 · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:08.943008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f18fc1aa-a899-4ad0-b6af-7fb9b365f283 · outbound

This paper cites On the effectiveness of parameter-efficient fine-tuning.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective On the effectiveness of parameter-efficient fine-tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:08.945960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e84766de-a6c3-4a1c-8290-751d4c4bbbda · outbound

This paper cites Learn- ing to branch for multi-task learning.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Learn- ing to branch for multi-task learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:08.949271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d08b2a1-de3a-4883-a7dd-e121b9d56582 · outbound

This paper cites Learn- ing both weights and connections for efficient neural net- work.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Learn- ing both weights and connections for efficient neural net- work

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.278329Z

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 934774f6-5d2f-4b49-9eec-523940a6fa30 · outbound

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

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:08.955002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ee95ccb-df8e-4970-870b-30857eddb52a · outbound

This paper cites Segment any- thing.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Segment any- thing

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:08.957997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d3bca07-8ad6-457f-9959-00a481216acc · outbound

This paper cites Block Pruning For Faster Transformers.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Block Pruning For Faster Transformers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:08.960534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bffadae-1918-4ee6-9f4c-dd3fbe987376 · outbound

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

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Conflict-averse gradient descent for multi-task learn- ing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.261263Z

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 7d01e526-b8f8-42a3-ad6f-40e8caead4d4 · outbound

This paper cites Famo: Fast adaptive multitask optimization, 2023.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Famo: Fast adaptive multitask optimization, 2023

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.252488Z

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 67d4af19-60ce-4753-9508-2602a8e1278c · outbound

This paper cites Towards impartial multi-task learning.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Towards impartial multi-task learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.243061Z

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 322945b6-fab6-4acf-a699-ae5fbb5f7cba · outbound

This paper cites End- to-end multi-task learning with attention.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective End- to-end multi-task learning with attention

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.235160Z

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 96cd3366-1cfa-406e-ac5a-a11a980fc945 · outbound

This paper cites Deep learning face attributes in the wild.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Deep learning face attributes in the wild

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:08.973303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7621df7c-b601-4902-8448-24aa303ee30f · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Swin transformer: Hierarchical vision transformer using shifted windows

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.221220Z

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 664ab58e-c6a3-447b-9c98-38d3b04d703b · outbound

This paper cites Attentive single-tasking of multiple tasks.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Attentive single-tasking of multiple tasks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.211935Z

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 ff7d9a49-a812-46d6-8ab2-d67a2df7be77 · outbound

This paper cites Cross-stitch networks for multi-task learning.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Cross-stitch networks for multi-task learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.203403Z

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 852c5bd6-2f88-498b-8e2d-d5f02d2ea999 · outbound

This paper cites Parameter efficient train- ing of deep convolutional neural networks by dynamic sparse reparameterization.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Parameter efficient train- ing of deep convolutional neural networks by dynamic sparse reparameterization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.194003Z

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 16df5d8e-c638-4bac-9aad-d2b344629ab8 · outbound

This paper cites Multi- task learning as a bargaining game, 2022.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Multi- task learning as a bargaining game, 2022

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.186015Z

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 060eb3b6-a794-4db9-bb20-c429f7e9f16d · outbound

This paper cites Movement pruning: Adaptive sparsity by fine-tuning.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Movement pruning: Adaptive sparsity by fine-tuning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.177651Z

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 251838c5-8ad6-428f-8ac1-b18df44a9ef5 · outbound

This paper cites Multi-task learning as multi-objective optimization.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Multi-task learning as multi-objective optimization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.168744Z

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 b4c87c19-dd74-40a7-81a6-467a9f7c8980 · outbound

This paper cites Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:08.993379Z

Source-reported events for the cited work

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Observation 16b64028-2e64-4f45-8f13-aa6f846bcb56 · outbound

This paper cites Learning sparse sharing architectures for multiple tasks.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Learning sparse sharing architectures for multiple tasks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.159680Z

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 aa76ab45-a0a0-46c5-9756-0cdb40b7937d · outbound

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

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Multi-task learning for dense prediction tasks: A survey

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:08.999074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3917a510-ef47-4ad5-a86d-b4c719afb59f · outbound

This paper cites PAC-Bayes Information Bottleneck.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective PAC-Bayes Information Bottleneck

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:09.001625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52292be9-3762-46a9-8091-b9cd093dc10f · outbound

This paper cites Pad-net: Multi-tasks guided prediction-and-distillation net- work for simultaneous depth estimation and scene parsing.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Pad-net: Multi-tasks guided prediction-and-distillation net- work for simultaneous depth estimation and scene parsing

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.145114Z

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 b1412fd6-421e-4df1-853c-aa690408d661 · outbound

This paper cites Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:09.006926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 229bfbcd-9d35-4079-ac96-05320bc55e18 · outbound

This paper cites Gradient surgery for multi-task learning.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Gradient surgery for multi-task learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.137122Z

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 5f85dab9-6d0c-439f-a9ca-fd9bee716163 · outbound

This paper cites A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:09.012657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd272273-1c0c-4526-bc54-5e085b9dcd70 · outbound

This paper cites A survey on multi-task learning.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective A survey on multi-task learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.128010Z

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 f51cabe0-20ac-4e7a-bac0-e18eff2315c3 · outbound

This paper cites Joint task-recursive learning for semantic segmentation and depth estimation.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Joint task-recursive learning for semantic segmentation and depth estimation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.119327Z

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 b217b1f7-aaec-4c7c-a885-42ed73691068 · outbound

This paper cites Pattern-affinitive propagation across depth, surface normal and semantic segmentation.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Pattern-affinitive propagation across depth, surface normal and semantic segmentation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:09.109763Z

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 04a4403c-ac7a-4b23-abcd-0acd4517857d · outbound

This paper cites Gradient-based Parameter Selection for Efficient Fine-Tuning.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Gradient-based Parameter Selection for Efficient Fine-Tuning

Reference 40

Resolution: malformed identifier; no resolver link, observed 2026-08-12T11:06:09.023142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 56c69f23-8f3f-4e4c-9209-7964d708943f · inbound

Parameter-efficient Quantum Multi-task Learning cites this paper.

Parameter-efficient Quantum Multi-task Learning Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:15:29.236706Z

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 7ad50e89-7695-4a26-a9ff-bfc608672555 · inbound

REZE: Representation Regularization for Domain-adaptive Text Embedding Pre-finetuning cites this paper.

REZE: Representation Regularization for Domain-adaptive Text Embedding Pre-finetuning Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:16:20.959995Z

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 7934230b-ffc6-434f-8d8c-9cdc099920b0 · inbound

Unified Gradient Projection: Language-Balanced Continual Learning for Multilingual Low-Resource ASR cites this paper.

Unified Gradient Projection: Language-Balanced Continual Learning for Multilingual Low-Resource ASR Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T06:34:55.089754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.