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Paper Citation Record · LEDGER

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning

As of 12 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2507.07485.

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

pith.paper-citation-record.v1
2507.07485 v2

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:48:38.958431Z

measured 72 of 72 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

72 of 72 outbound references displayed

  • verified exact1
  • verified fuzzy48
  • unresolved21
  • parse uncertain1
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fecf09e9-5969-4f7e-bf2d-d734db82bb85 · outbound

This paper cites Mult: an end-to-end multitask learning transformer.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Mult: an end-to-end multitask learning transformer

Reference 1

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

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Observation 4ce171c5-55b1-489f-bf0b-93d6a1fe8326 · outbound

This paper cites Stochastic filter groups for multi-task cnns: Learning specialist and gener- alist convolution kernels.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Stochastic filter groups for multi-task cnns: Learning specialist and gener- alist convolution kernels

Reference 2

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

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Observation 781e05b3-2753-423b-bf3d-c812e0ef5d9f · outbound

This paper cites Automated Search for Resource-Efficient Branched Multi-Task Networks.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Automated Search for Resource-Efficient Branched Multi-Task Networks

Reference 4

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Observation 062bc205-5f6a-4c00-b9ae-4bc6f3972921 · outbound

This paper cites Multi-task learning for multi-objective evolutionary neural architecture search.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Multi-task learning for multi-objective evolutionary neural architecture search

Reference 5

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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.

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Observation c814037d-3c1d-4800-a4c5-c637e019db2c · outbound

This paper cites Multitask learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Multitask learning

Reference 6

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

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Observation f7629f9a-a29d-47bc-9f21-6d7e35c753dc · outbound

This paper cites Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks

Reference 7

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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.

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Observation f251ddd1-8f31-4d54-8287-db81035d507b · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Just pick a sign: Optimizing deep multitask models with gra- dient sign dropout

Reference 8

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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.

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Observation 271a6ac8-cfd8-43a5-b202-a1900ac92752 · outbound

This paper cites Mod-squad: Designing mixtures of experts as modular multi-task learners.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Mod-squad: Designing mixtures of experts as modular multi-task learners

Reference 9

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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.

source=pdf_text observed=2026-08-06T18:48:31.143715Z digest=sha256:091b10d6e8a3ee7933f7fd9bc0fb9d2f8c4f57ddd7826bed35f3b45975214254

Observation 80058b8f-1dba-4fa1-a457-33252f403a32 · outbound

This paper cites Multi-Task Learning with Deep Neural Networks: A Survey.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Multi-Task Learning with Deep Neural Networks: A Survey

Reference 10

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source=pdf_text observed=2026-08-06T18:48:31.272266Z digest=sha256:89cfb1cf3de83a59f40056f9da7ecd413e98b07884a6fbab4ad5a14ab8ebdc6a

Observation e312c736-64f7-4f70-bcbb-99c8b1739038 · outbound

This paper cites Instance-aware se- mantic segmentation via multi-task network cascades.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Instance-aware se- mantic segmentation via multi-task network cascades

Reference 11

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

source=pdf_text observed=2026-08-06T18:48:31.426283Z digest=sha256:1494f85aea6b7f5290dfd001db24bc3d2170c44a6f828a2c17e7110929a86691

Observation 78f7444d-0501-47ae-83fc-361f8ff61f02 · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Imagenet: A large-scale hierarchical image database

Reference 12

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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.

source=pdf_text observed=2026-08-06T18:48:31.569245Z digest=sha256:097e68c9d16057c7dbf0d38fa6bcdb918ec53d1a8d00cbfb7115e8489d88c0c9

Observation c1ba4ce6-f68f-40a8-ae16-0dcc16fcecff · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Multiple-gradient descent algorithm (mgda) for multiobjective optimization

Reference 13

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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.

source=pdf_text observed=2026-08-06T18:48:31.734799Z digest=sha256:0776b93eae33499e2ca8b61ff4f41f0d45109b7bc5562e8131ecbb47ec12d0ac

Observation 8aa0341d-b011-49e0-ac54-d62edcb87143 · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

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source=pdf_text observed=2026-08-06T18:48:31.876135Z digest=sha256:da5fefa4da54406b7702cba83ede049df58a53c617516eb3c33532b1c2b015e2

Observation 8e5222a8-b794-4e34-af9e-b3e5612ae5da · outbound

This paper cites Representation similar- ity analysis for efficient task taxonomy & transfer learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Representation similar- ity analysis for efficient task taxonomy & transfer learning

Reference 15

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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.

source=pdf_text observed=2026-08-06T18:48:32.009274Z digest=sha256:166ecd7e5c30426ed8093046c316695ec1bda526b7b10dd247b5bf9322757dff

Observation 21c91871-9fb6-497d-9cd5-11db67abaa2a · outbound

This paper cites Predicting depth, surface nor- mals and semantic labels with a common multi-scale con- volutional architecture.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Predicting depth, surface nor- mals and semantic labels with a common multi-scale con- volutional architecture

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1bb1cfdc-f3be-48fc-9250-cbe574e0f54f · outbound

This paper cites The pascal visual object classes challenge 2012 (voc2012) development kit.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning The pascal visual object classes challenge 2012 (voc2012) development kit

Reference 17

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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.

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Observation 3ae8bae1-0345-4983-8602-646612e55f58 · outbound

This paper cites M 3vit: Mixture-of-experts vision transformer for efficient multi- task learning with model-accelerator co-design.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning M 3vit: Mixture-of-experts vision transformer for efficient multi- task learning with model-accelerator co-design

Reference 18

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Observation aa8e72a3-5413-4bd5-8498-4538cbde0eed · outbound

This paper cites PathNet: Evolution Channels Gradient Descent in Super Neural Networks.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Reference 19

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Observation 55ffe5c8-fd40-40a0-9fe0-f630d4d7a200 · outbound

This paper cites Nddr-cnn: Layerwise feature fusing in multi-task cnns by neural discriminative dimensionality reduction.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Nddr-cnn: Layerwise feature fusing in multi-task cnns by neural discriminative dimensionality reduction

Reference 20

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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.

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Observation 328cc590-f052-4edb-aded-2558016eca5a · outbound

This paper cites Mtl-nas: Task-agnostic neural architecture search towards general-purpose multi-task learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Mtl-nas: Task-agnostic neural architecture search towards general-purpose multi-task learning

Reference 21

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

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Observation 6390a255-898d-405f-b071-1f50578df0a2 · outbound

This paper cites Recon: Reducing conflicting gradients from the root for multi-task learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Recon: Reducing conflicting gradients from the root for multi-task learning

Reference 22

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

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Observation 31949ec6-e944-4300-9505-72631582833f · outbound

This paper cites Dynamic task prioritization for multitask learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Dynamic task prioritization for multitask learning

Reference 23

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Observation 5b586913-eb12-47a9-98e7-bfbd92dfb6e4 · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Learn- ing to branch for multi-task learning

Reference 24

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

source=pdf_text observed=2026-08-06T18:48:33.462644Z digest=sha256:bd8d0571ccee84dc2f3b280cce4dfa9e6730865c4b9544bf9d9acb20d551a9a2

Observation 7007754f-2ec5-4cb3-abae-d9597b560b02 · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Learn- ing to branch for multi-task learning

Reference 25

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raw_fallback, observed 2026-08-06T18:48:46.811512Z

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

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Observation 41e9c13c-fd13-4b41-9188-f3e6db761062 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Lora: Low-rank adaptation of large language models

Reference 26

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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.

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Observation 40b64a45-bd0e-4aff-be0c-db1c058ef4cd · outbound

This paper cites Going beyond multi-task dense prediction with synergy em- bedding models.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Going beyond multi-task dense prediction with synergy em- bedding models

Reference 27

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raw_fallback, observed 2026-08-06T18:48:46.613906Z

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.

source=pdf_text observed=2026-08-06T18:48:33.916832Z digest=sha256:4d2265cc05f477bf74791047435754a5851616fa5638f5b6b9534414ce8e6aa4

Observation ada1e55c-6c7a-40ed-b5c7-a0907fbbcf0b · outbound

This paper cites RotoGrad: Gradient Homogenization in Multitask Learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning RotoGrad: Gradient Homogenization in Multitask Learning

Reference 28

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source=pdf_text observed=2026-08-06T18:48:34.097023Z digest=sha256:08bc698cb2f34f045dc0c7b43f8f9c2622a8953b54b827fa6d07364a8724ceb2

Observation 502fb8a2-ebe6-40e6-800c-033f6bd6f215 · outbound

This paper cites Quantifying task pri- ority for multi-task optimization.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Quantifying task pri- ority for multi-task optimization

Reference 29

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raw_fallback, observed 2026-08-06T18:48:46.375068Z

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.

source=pdf_text observed=2026-08-06T18:48:34.224503Z digest=sha256:aa604ceb8beba46b0d7ea947ac1e589179497330244a973d5882fafcef2196a3

Observation 92a15a07-2a8a-4bc7-beb6-36fa4161daaa · outbound

This paper cites Selective Task Group Updates for Multi-Task Optimization.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Selective Task Group Updates for Multi-Task Optimization

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:34.286201Z digest=sha256:e87528d3a6a0e7e9e81e4afa77c2493bfc526482f3e3778d9095fbb0f4e94b59

Observation e0749efc-7a4a-4f3c-86f2-1493cab64f1b · outbound

This paper cites Forkmerge: Mitigating negative transfer in auxiliary-task learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Forkmerge: Mitigating negative transfer in auxiliary-task learning

Reference 31

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raw_fallback, observed 2026-08-06T18:48:46.206402Z

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.

source=pdf_text observed=2026-08-06T18:48:34.405324Z digest=sha256:68fd0eac6a3aae8dcb4e7daca526ff51d6e66fcd415fe4c837b82c86ef32c83b

Observation 24d4da77-9638-4616-a28a-7fd7021f617d · outbound

This paper cites Principal component anal- ysis: A review and recent developments.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Principal component anal- ysis: A review and recent developments

Reference 32

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raw_fallback, observed 2026-08-06T18:48:45.957099Z

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.

source=pdf_text observed=2026-08-06T18:48:34.586586Z digest=sha256:47bda7fb03c6aaad708775ea280ed6232c93b27465c75615ae599fd472c81c29

Observation 43b4b6af-e5b9-423f-873c-0b4a6334ed34 · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics

Reference 33

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no resolver link, observed 2026-08-06T18:48:34.688994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:34.688994Z digest=sha256:89f59c24792b652dea3c30ab6a05f3cff7d72bc1a9d9a0e9e5764ecf19f2384d

Observation 7020b02c-f09a-44f4-bfc0-4b65d0e4a87f · outbound

This paper cites Evo- lutionary architecture search for deep multitask networks.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Evo- lutionary architecture search for deep multitask networks

Reference 34

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raw_fallback, observed 2026-08-06T18:48:45.775092Z

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.

source=pdf_text observed=2026-08-06T18:48:34.780014Z digest=sha256:6794bc24c8a1030f8a23cdf253609d565d942d1562b8f8bddc536363af746212

Observation 4a0c7629-4be0-4e65-976b-52b455fe8688 · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Conflict-averse gradient descent for multi-task learn- ing

Reference 35

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

source=pdf_text observed=2026-08-06T18:48:34.879410Z digest=sha256:66af892d83acff7ea00d1ea8743704c0f075eaf7bae5ec96363cc532be4159a2

Observation 8fd9ff9e-ca99-4f1a-835f-60ba30fa728c · outbound

This paper cites Famo: Fast adaptive multitask optimization.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Famo: Fast adaptive multitask optimization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:45.270545Z

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

source=pdf_text observed=2026-08-06T18:48:34.962590Z digest=sha256:13b6de47c77460c5ebfced8cace5c676867ccfc3baaa7862a075aacf4400176d

Observation fb01b006-a983-4f5c-a8a7-83bb4a82f424 · outbound

This paper cites Towards impartial multi-task learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Towards impartial multi-task learning

Reference 37

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

source=pdf_text observed=2026-08-06T18:48:35.060933Z digest=sha256:27722980ab6481a1f6f649e149aa2ab474fad8c17f54999ff6aeb94283bf51e2

Observation 01be7dfd-985a-44f4-ae07-7a4c96f7b208 · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning End- to-end multi-task learning with attention

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-06T18:48:44.762597Z

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.

source=pdf_text observed=2026-08-06T18:48:35.182541Z digest=sha256:f7c23407cd8adcbb4f2532775cff8fdbe968f99f703ce404e57883a106b7f5a4

Observation d57134b6-bd90-4ef0-b56f-a2e30141bdb3 · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Swin transformer: Hierarchical vision transformer using shifted windows

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:35.287041Z digest=sha256:cab882ee85afde8a7d1c6dac51b636c95039db0f6da57fcc76452e24d70e5f87

Observation a65ed0cb-76dc-42ac-aae5-0a0315da0c76 · outbound

This paper cites Fully-adaptive feature shar- ing in multi-task networks with applications in person at- tribute classification.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Fully-adaptive feature shar- ing in multi-task networks with applications in person at- tribute classification

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:44.563854Z

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.

source=pdf_text observed=2026-08-06T18:48:35.355872Z digest=sha256:edc85dc1ec5ab534b6ab5a925991353e9ac4cc0a6dd60e9c030f8c8e6b58f23d

Observation a34c10d1-8c33-4033-a004-39822818204e · outbound

This paper cites Modeling task relationships in multi-task learning with multi-gate mixture-of-experts.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Modeling task relationships in multi-task learning with multi-gate mixture-of-experts

Reference 41

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:35.441034Z digest=sha256:26b93b71468ed2a76634f9f32bf1369d7975b054acc9f6f50d76b6aef54cc053

Observation 98fbd9d7-b3e9-4909-adc3-55f9b66a5176 · outbound

This paper cites Attentive single-tasking of multiple tasks.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Attentive single-tasking of multiple tasks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:44.439519Z

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.

source=pdf_text observed=2026-08-06T18:48:35.523440Z digest=sha256:645231dfde042803f2f65859bdf59db7beb8791a4d1644dad6b632bcd8caf450

Observation a787a70f-02d7-436c-879d-f3080c931f82 · outbound

This paper cites The role of context for object detection and semantic segmentation in the wild.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning The role of context for object detection and semantic segmentation in the wild

Reference 43

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:35.607735Z digest=sha256:11da8041793241c2a12214a464091f23f135315de1a407c7f10aef95ac6e51ca

Observation 6f9977dd-c985-4a50-9c98-ca0b78ac5fda · outbound

This paper cites Multimodal contrastive learn- ing with limoe: the language-image mixture of experts.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Multimodal contrastive learn- ing with limoe: the language-image mixture of experts

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:44.237370Z

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.

source=pdf_text observed=2026-08-06T18:48:35.673934Z digest=sha256:9b0b7e7946d30800f68f8dbe6b96e7e1b1c6becf07b18acc8e86ce92698a0931

Observation 5c2ef916-3732-4d8a-8444-c2fe7656f3e6 · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Multi-Task Learning as a Bargaining Game

Reference 45

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:48:35.755632Z digest=sha256:153de8175c8019a5faff19b2999b2a7cdb0dfb667c73170ad3d8d32ae1350d12

Observation 6dd9ca90-b607-43e8-8346-9b6f91d8f335 · outbound

This paper cites What is being transferred in transfer learning? Advances in neural information processing systems , 33:512–523, 2020.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning What is being transferred in transfer learning? Advances in neural information processing systems , 33:512–523, 2020

Reference 46

Resolution
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raw_fallback, observed 2026-08-06T18:48:44.014755Z

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.

source=pdf_text observed=2026-08-06T18:48:35.848027Z digest=sha256:3ec6d7574db9c57301bb6c6bb2980bf0a574034def9694f842e8fb7349a64620

Observation cd0f000a-516a-4889-b533-445f8385c292 · outbound

This paper cites Continual and Multi-Task Architecture Search.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Continual and Multi-Task Architecture Search

Reference 47

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source=pdf_text observed=2026-08-06T18:48:35.937987Z digest=sha256:406441b3ab739b1e4411967428ba2a2da5313451034332591185eda8c09582b6

Observation da61be4d-5d47-4736-a2fc-5eb3ae4fd660 · outbound

This paper cites Scaling vision with sparse mix- ture of experts.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Scaling vision with sparse mix- ture of experts

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:43.721845Z

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.

source=pdf_text observed=2026-08-06T18:48:36.090614Z digest=sha256:240869bf14a1c3f7c526c724496d1e26b59595a1aba3447b7672fc3cd4862351

Observation 3fd05bf1-56f6-4acd-80ad-3727789be5da · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Multi-task learning as multi-objective optimization

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:43.529171Z

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.

source=pdf_text observed=2026-08-06T18:48:36.181436Z digest=sha256:ed8f8f39c1336f035064195c1d3af4327e3fed540841089fb88c2773ff8026c4

Observation 9a674533-8282-43d5-9997-5d25bd8048b6 · outbound

This paper cites Independent component alignment for multi-task learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Independent component alignment for multi-task learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:43.215508Z

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.

source=pdf_text observed=2026-08-06T18:48:36.329380Z digest=sha256:c130733d178513ca440aa680116c89c2c03c76eb70ba6e402a39ad9b013255e9

Observation 9c8a074e-d57f-4d34-8396-c17399a594c8 · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Indoor segmentation and support inference from rgbd images

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:42.959890Z

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.

source=pdf_text observed=2026-08-06T18:48:36.444238Z digest=sha256:57e866b0f96a6bc0d592953bd9c1153a342cee0dc0890258ab8ad5c95e90ec37

Observation f7bc6950-d762-4f85-b4b1-91c685c38310 · outbound

This paper cites One-shot neural architecture search for deep multi-task learning in computer vision, 2020.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning One-shot neural architecture search for deep multi-task learning in computer vision, 2020

Reference 52

Resolution
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raw_fallback, observed 2026-08-06T18:48:42.816738Z

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.

source=pdf_text observed=2026-08-06T18:48:36.527790Z digest=sha256:b7f82c167e2cbdd1fd1e359ae85a54282ab578e4d1b8c6a8facf0fa692c65fcc

Observation dd7494ac-ae7d-42e1-b7e7-6cb833c42ac9 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 53

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:48:36.638196Z digest=sha256:25aa71c2f533a1fb377c7a1912aee23cf10c18a38e0964f3b666de51df374c91

Observation b2dc4f2a-1093-494d-b60d-e3fbf638ea9f · outbound

This paper cites Gradient adversarial training of neural networks.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Gradient adversarial training of neural networks

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:42.551703Z

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.

source=pdf_text observed=2026-08-06T18:48:36.763733Z digest=sha256:3e0f2d1248bb69080676b204b5a1e99b5e4607b87b0a22f8ada76c5d463064dd

Observation e980d482-c870-425b-b834-4244c732c338 · outbound

This paper cites Task switching network for multi-task learn- ing.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Task switching network for multi-task learn- ing

Reference 55

Resolution
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raw_fallback, observed 2026-08-06T18:48:42.309014Z

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.

source=pdf_text observed=2026-08-06T18:48:36.882047Z digest=sha256:8b62a56ff2632a6b0644af4c04f1469e66292787ce029dc5573352fc871bbe25

Observation 67394e19-30d7-41ce-af5c-3f2be19b2c8b · outbound

This paper cites Branched Multi-Task Networks: Deciding What Layers To Share.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Branched Multi-Task Networks: Deciding What Layers To Share

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:48:39.185135Z

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.

source=pdf_text observed=2026-08-06T18:48:37.001910Z digest=sha256:985c4dcaf74daac4be6d1e823e05b66db694207b81637f09e468f1123bdbc45f

Observation 28a406ea-d2d0-4640-8161-f6d115e98168 · outbound

This paper cites Mti-net: Multi-scale task interaction networks for multi-task learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Mti-net: Multi-scale task interaction networks for multi-task learning

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:42.068353Z

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.

source=pdf_text observed=2026-08-06T18:48:37.146416Z digest=sha256:c118c1206285e49077a3c5f21b23acfce11c09780323ce7df3c894e52278fbb0

Observation 8d16a64b-0a07-453b-a56f-191b8eb8ea8e · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 58

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:48:37.283345Z digest=sha256:642d1fc1a8f7a5e271bf6b9653e0c2fe7d963c6fa59cbea864407175f19ee6e1

Observation e18ffccc-cc9d-44c7-84aa-1bb21af7bc7b · outbound

This paper cites CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention

Reference 59

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:48:37.392730Z digest=sha256:568c18a44abd59af3871b03ba3bcdeb4f0c1cdc8422f858dbaaeaaa345b2e31c

Observation 913535d4-8906-4dbf-b644-9988673d876c · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transform- ers.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Segformer: Simple and efficient design for semantic segmentation with transform- ers

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:41.838741Z

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.

source=pdf_text observed=2026-08-06T18:48:37.501985Z digest=sha256:9feb1d877f36542fd8daaba3aada1971197710274a1059ea541bf9f647c6b088

Observation 05e3e9f1-943a-4afa-bdeb-a041cdade615 · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Pad-net: Multi-tasks guided prediction-and-distillation net- work for simultaneous depth estimation and scene parsing

Reference 61

Resolution
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raw_fallback, observed 2026-08-06T18:48:41.606439Z

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.

source=pdf_text observed=2026-08-06T18:48:37.614147Z digest=sha256:ea847bd7b387e898463176e1e8979cef8e1d937d44ca4a2856fc0744c5219ec6

Observation f7fcbc18-4270-45a4-a582-d5f2604a1d53 · outbound

This paper cites Mtformer: Multi-task learn- ing via transformer and cross-task reasoning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Mtformer: Multi-task learn- ing via transformer and cross-task reasoning

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:41.417387Z

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.

source=pdf_text observed=2026-08-06T18:48:37.714586Z digest=sha256:4bb54e4b8d316ce130dff412bd84df0e0f6171751eb2f5f0050acee3f3421aa0

Observation f18c0010-f9fa-47b8-b651-af4f2b875a9b · outbound

This paper cites Multi-task learning with multi-query trans- former for dense prediction.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Multi-task learning with multi-query trans- former for dense prediction

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:41.135657Z

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.

source=pdf_text observed=2026-08-06T18:48:37.825793Z digest=sha256:fe35f61b9c794664d6da166cf53ca200b1c0ded56a593ed08e31e49314d596c8

Observation 7fca0a7a-dc59-4eec-a708-9867c2828fab · outbound

This paper cites Demt: De- formable mixer transformer for multi-task learning of dense prediction.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Demt: De- formable mixer transformer for multi-task learning of dense prediction

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:40.822560Z

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.

source=pdf_text observed=2026-08-06T18:48:37.918671Z digest=sha256:b833c626f999351a7a7ab94675b60c539e74ab3a3612690c6b8757c9aa5f51fe

Observation 11e92a37-aad1-48f9-a5f7-6c9e5cae0ffe · outbound

This paper cites Focal Self-attention for Local-Global Interactions in Vision Transformers.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Focal Self-attention for Local-Global Interactions in Vision Transformers

Reference 65

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:38.030618Z digest=sha256:1874c98e775820e160c1edf3857859438bd35b04cf28150b2472d97a64a5be2b

Observation 2e1d4645-e548-49e7-99a9-a46558994a44 · outbound

This paper cites Inverted pyramid multi-task trans- former for dense scene understanding.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Inverted pyramid multi-task trans- former for dense scene understanding

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:38.155006Z digest=sha256:bb14eb285e184a8849d105b002622efeff5d2b978350889d5660ea8fce7139b0

Observation 29ee07f6-4be9-4786-a623-fc009c317de8 · outbound

This paper cites Taskprompter: Spatial-channel multi-task prompting for dense scene understanding.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Taskprompter: Spatial-channel multi-task prompting for dense scene understanding

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:40.354497Z

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.

source=pdf_text observed=2026-08-06T18:48:38.405272Z digest=sha256:5749ef76f6eb5aa8bea352a6ee0bdc6d20b37ad7c8a100a30e532387748f6677

Observation 60517d35-9d75-41de-a6ab-3a962973cac4 · outbound

This paper cites Gradient surgery for multi-task learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Gradient surgery for multi-task learning

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:40.183323Z

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.

source=pdf_text observed=2026-08-06T18:48:38.563905Z digest=sha256:5b1e80b523d2b5130e601061e0851b8e5c2a0560491c97e37dbbb85b7f760a00

Observation 8673fcda-e495-4afb-987a-029f101123e6 · outbound

This paper cites Taskonomy: Disentangling task transfer learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Taskonomy: Disentangling task transfer learning

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:39.989515Z

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.

source=pdf_text observed=2026-08-06T18:48:38.657342Z digest=sha256:3a78c36d101cd53641a6509b5b3d667db0ae9937da31919a49a7aba292c86883

Observation c0620691-263f-49d0-9227-6f2bacb2b558 · outbound

This paper cites Mixture of Attention Heads: Selecting Attention Heads Per Token.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Mixture of Attention Heads: Selecting Attention Heads Per Token

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:38.748604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:38.748604Z digest=sha256:44945833f4354099cc5fb0c64d076e58a70e265c1b1ea31929c185f8d30ce2d3

Observation a70b8529-464f-4dcf-adbd-8a729a2d4d4b · outbound

This paper cites Facial landmark detection by deep multi-task learning.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Facial landmark detection by deep multi-task learning

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:48:39.702232Z

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.

source=pdf_text observed=2026-08-06T18:48:38.852732Z digest=sha256:23aec132f733176052e6e855af956c406831f9540ca5e2dbfdf66bd653ee9058

Observation 427396f2-410a-43f5-bb85-290f1c047da9 · outbound

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

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Pattern-affinitive propagation across depth, surface normal and semantic segmentation

Reference 72

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T18:48:39.470318Z

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.

source=pdf_text observed=2026-08-06T18:48:38.958431Z digest=sha256:cfae6db1ecc70eadec1a76e4b5c868e5643ee9a83d6d45c07f50bb5c2af1c1cc

Observation 2fe39442-677e-4ae9-90f2-384e5dd3d5ad · outbound

This paper cites 2, 8, 12.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning 2, 8, 12

Reference 530

Resolution
parse uncertain
raw_fallback, observed 2026-08-06T18:48:40.585241Z

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.

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Pith citing papers

No inbound Pith citation observations are available.