Pith. sign in

Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.916564Z digest=sha256:dd1c137b4bda9056dd555ee439e1a4b3c4e75bd31fc07605b8cee6a394e75e98

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.920391Z digest=sha256:eeff71025500669553f3da101e0ec6d37df09986a62629b2b79120a399df6b88

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.923161Z digest=sha256:cc8ed08fdfcd58dc5a12701165374bd9a96c99bb74d619751e40047983e7dce7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.925822Z digest=sha256:3171b3c88a2cbca94f7879002fbd46d60ee7939e13e7de3e8510c9d83ca0993f

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.

source=pdf_text observed=2026-08-12T11:06:08.928598Z digest=sha256:057bd0226ac297498cbf749db10fc852198474cd121c451fcf83093d09de286b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.931478Z digest=sha256:2568724cb4ad37c140455f1063e60b8461ac1542c327f717e17f3716c279c016

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.934566Z digest=sha256:1ed9a78092923fd7562c2cbc5bee45c77626c2738c550ef8fe8d81a4e255d317

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.

source=pdf_text observed=2026-08-12T11:06:08.937239Z digest=sha256:f73663a47b490eaa711c5384140caca1ee8968b822453f340a52e90554cc075a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.940255Z digest=sha256:7aa3878c3b824b3ed9d735439ee33391bd673d3ccd07773ecbbb1846037047cc

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.

source=pdf_text observed=2026-08-12T11:06:08.943008Z digest=sha256:e09faf8c203809762508347c0db8d06e6b0db6daa2d6e26cd3a4302f87771f36

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.

source=pdf_text observed=2026-08-12T11:06:08.945960Z digest=sha256:b2fb463beebc793bdbc0dee9a8061a97dff455780717743fda9ebaaf1ad9efea

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.

source=pdf_text observed=2026-08-12T11:06:08.949271Z digest=sha256:20154501a77f95d6197d74adcb39b859c6b03ee3b9f89fe271883eb6edd34de9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.952346Z digest=sha256:9fbbca63a48ad8da341d41c1b605da151f3e9d9ff16e0f1b796c4a0adfb5cbf2

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.

source=pdf_text observed=2026-08-12T11:06:08.955002Z digest=sha256:f2fcfae902e12cc57ef6613e9e5a2c40eced7974d09a5cd2260d6e4df81e11af

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.

source=pdf_text observed=2026-08-12T11:06:08.957997Z digest=sha256:b3f688a8367b5d316c0447281c936b88dbb06f0e77b3dac02714a3ede840362b

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.

source=pdf_text observed=2026-08-12T11:06:08.960534Z digest=sha256:4feed09e32eff6e4e55dac72770b5354386e86320785a2822f85737de061e21b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.963308Z digest=sha256:9408c19522ea12c49d10331c036b9541e87e13f760ca95ac0e966af441fc0453

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.965715Z digest=sha256:9246a9ac3944795fe93e5d42281bb87d9016a25a33ff26d9a8f04b371db104a7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.968457Z digest=sha256:88804ef667c38f1ae4d4cb9647b9d92259f35ff487cc211bad8265fc59f446e3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.970858Z digest=sha256:841f0df87af9e3dc04ca85774de87e6a4bccf4c64eaf1adb54bae2860f2d4306

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.

source=pdf_text observed=2026-08-12T11:06:08.973303Z digest=sha256:8008191df10c684a8fe29335db949232ba36563126bb98244ce27a715121d9b7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.975739Z digest=sha256:81333b3ca821266b93dbc88a167c0ea8337b15dd0d58ad16045ca43b13b8a7c2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.978159Z digest=sha256:1d4ebea4603879916ef0b762dcd521918c51f82fe24aeba528e6df6a6d46c2f7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.980533Z digest=sha256:3ac49343d37a847b9318792f7ceb9805da80b1c039ee6159e11ea4b3271eb1f5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.983116Z digest=sha256:f58ab500e1ed9f24cae50573aef473ec6d88d45920bbd5da87d19a2ab237cc11

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.985487Z digest=sha256:9012f97647330ea09cdec338a7cb4260094de187b2f009e82043c0ce68f17e2a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.987912Z digest=sha256:97fc1ea80c64bb0167c075599df923b28778dadbfdf07f1f0defc7d9e41bdca2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.990642Z digest=sha256:d4c89a1f03decfec4dd3131c37be491a4af5a90e6bc34d55a9ec402ce80a1d4d

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:06:08.993379Z digest=sha256:eb977e177436e90ca7dcefd15854208185a9c2d6a0dbf7170b62e388fbb8772d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:08.996366Z digest=sha256:17427c355b5f502838e977eedbfde9c1f6a93f928de44615c74fadeda6ab1e69

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.

source=pdf_text observed=2026-08-12T11:06:08.999074Z digest=sha256:e229e2043e904b57fe5f13638ce7183c526bc8eb9eaad574345736c493e738e9

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.

source=pdf_text observed=2026-08-12T11:06:09.001625Z digest=sha256:502f56f34f72e6fde425357ce2ae8f4cfdb0f29efbc440d0b5d5ef216bb48310

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:09.004464Z digest=sha256:524f3f10504dc6bd30055966e6c9a18959c4f4b91405b3da9411604ef8a9902c

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.

source=pdf_text observed=2026-08-12T11:06:09.006926Z digest=sha256:e44d43e7ad04b5a3d095426638375154d26ba80b08b0319f9dbe31d991214238

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:09.009977Z digest=sha256:fc5fb40415e94756099350489c21c753a6c0940985ab077a028aaee7308a6be9

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.

source=pdf_text observed=2026-08-12T11:06:09.012657Z digest=sha256:7e8a6831bf6a01a146fea7a324755c2c4fd86c120525b8b1a9277b8e03b7886b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:09.015298Z digest=sha256:babf6c5276b767d6fc7a990d87dde42bea0946cd5bcceac2aa3853e7c186bc61

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:09.018115Z digest=sha256:97d3f236d23622ee1814394d3ae2d17c86b345f1d6eaeb4ef49db8a77316baac

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:09.020647Z digest=sha256:e210e1e464fa5242f449deb348a54a59a33da35e4239ccbb9b6606f5543f09f7

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.

source=pdf_text observed=2026-08-12T11:06:09.023142Z digest=sha256:dadb465e2f18a0de4aedd0b23bef898ce4c4073e22c8becc5ff01c91a8fcb53b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T14:13:39.288961Z digest=sha256:16e2e3d2bab383a221a0853225f223377dd8a03ac189a403eb5904fe54e4b195

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T06:14:28.893342Z digest=sha256:a9c9661f1c683b85149dbcf3124a7ed0f2ef0e1fd4d6bb824dedfe124fd663a5

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.

source=pdf_text observed=2026-07-14T06:34:55.089754Z digest=sha256:10282122731c4f6615e2434d8d44bf511bc7ec44e6608ce1c5a2901711d9ae28