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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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
  • metadata mismatch0

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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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source=pdf_text observed=2026-08-06T18:48:30.167420Z digest=sha256:5988b2434dd60820aec109e4eeab681de01ef93386fe271fed05377a0162605e

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 2026-08-07T06:34:17.273281+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:30.559093Z digest=sha256:d64d9ab086ec5a068a7fcaf21fcd0a2e09f218767fe9ba330994974389e1016a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:30.763211Z digest=sha256:5aca7729da79bae9a114db2b3fedaf1a82867df28cdc1e525ea52ab12cf33182

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:30.921696Z digest=sha256:45c178b3c00ffec3fd8c826a529f8d3067bbf029aafb2c71d903ba4dc2dc268f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:31.143715Z digest=sha256:c77c71d2f618d377833cd7e200979c31a1a079dd8a676efb665d566ee35d285b

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:31.272266Z digest=sha256:50d549207549b59f806209c4856e1993daa5b8fa85acbc8ce3c8c7bae2a9f50b

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:31.426283Z digest=sha256:113bb915b5fa385e0681d9f8ddf02cfdd91c2173718898b9ad30a8fd65691741

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:31.569245Z digest=sha256:f71a7e68660a39665be97995e9fa94e3a960a9ec2d23cfb5b9cd5043eb3a3fd1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:31.734799Z digest=sha256:19e7110c9495662412eeb0aeb7ff5c375bf759fe75febed06b910a842bc6976d

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:31.876135Z digest=sha256:864c0df24b781ab0139df95da1aa3fd0aa468ca4f10e149e8e3f33cc721f1951

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:32.009274Z digest=sha256:9ea516c9c5e381308ae8a072712858590d1f72bf71f4ca27a1d57714e0cacb78

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.

source=pdf_text observed=2026-08-06T18:48:32.150261Z digest=sha256:716cda145d94814d65e09cb9337adfd0caa4693454f3f1e7eaa9cf23691cfe2b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:32.351733Z digest=sha256:f3cc5eb760f7ea74d64a84b6b5665eeb62745e0b54833463da6a442b38a94553

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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Unavailable: canonical work link unavailable.

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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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source=pdf_text observed=2026-08-06T18:48:32.677340Z digest=sha256:dd4cc103c76aa84a145b94562ae0bc9dad03afc1fd0d8eade0f1c5aae5a58391

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:32.957285Z digest=sha256:857a858d211ad646a80c4be5e3a4dc70814d16547443589d6fca77aa0fde1ee3

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:33.462644Z digest=sha256:16cf4ec71fb697b02f17dfaf5bc787ada20df7df37b942228d49128fe3ec16d3

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 2026-08-07T06:34:17.273281+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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raw_fallback, observed 2026-08-06T18:48:46.713260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:33.795485Z digest=sha256:627f8f3159e6be870b30d2bf044a7f776444f0a35e1a8dcaa3e3b299cf1baad5

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:33.916832Z digest=sha256:36b0e3b64d475d948a997fb13eae08b042ec4b5a526efc5216620c3e654929ed

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=sha256:5d326ab70ca7d900f5114b7c37472196ff5846e8b259e0c1667f753d1cf9bf13

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:34.224503Z digest=sha256:87301931dd329091ea856a138428e777fda1a1131febef609d18b4824fe641fb

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:da39b2bddc5c80a4929f28efcf218b7d88994cb40e86a116f8f53a12d477976c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:34.405324Z digest=sha256:f016ef85491ceb1191af227108ff8e55d42a5adb4e4e4ad67a04da10de080851

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:34.586586Z digest=sha256:3d550ef42c127307b02b56f10057917d1f26074f665bed2b435ec05b5aa61317

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:34.688994Z digest=sha256:e1cbca15e661ca890304d91f7921521b92533ed8d558b63a509a2e5fb33653c7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:34.780014Z digest=sha256:1b79efc2040dd8fbc07cfe486e450bb45bf1687c9a64d4519c4baa5287e32149

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:34.879410Z digest=sha256:554811665a80df4169d56ddbdfaf4a37db7e855f9f481103ca705a87d5ea8939

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:34.962590Z digest=sha256:525ff9dc3dec120766148e3dc87ff1524cf70b4b59ebb38491360ea0af0bb3a0

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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verified fuzzy
raw_fallback, observed 2026-08-06T18:48:45.067762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:35.060933Z digest=sha256:7325621b9d82260e98a7b4f0635f80c1c87ed36e8a59371edfe406bcc1eb75da

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:35.182541Z digest=sha256:419e3773d397827335bcee0f8e5a70bb03167501efb6733891526fa72bc16880

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:e756cf532298f2c1efb4e3cc627d0a5a34b9b9b12524b5e4682a29c609d6d210

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:35.355872Z digest=sha256:de321b811af925166467f60e9e17160a1a315cadc3d7dd4da09e3d108eb427a9

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:35.441034Z digest=sha256:6777f2209919c62855832b1ea16c7a52d28df16d016723d98a1ad4857ec87343

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:35.523440Z digest=sha256:e96fecdfe1161da42d0ce56aba6f276be52c856fc045251da732f24c63a37d14

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

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:35.607735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:35.607735Z digest=sha256:b31394f967822bbecde1af3f1ddc34f69127400a69649e6fd617eaa6cb2e783c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:35.673934Z digest=sha256:797c142bf31132d70eab5c7d64d90022a08107fd14a04a6def01db7b0fb99110

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

Resolution
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no resolver link, observed 2026-08-06T18:48:35.755632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:35.755632Z digest=sha256:cae1d5fe1245e668fcbcb537b78b3e29864922fe85688d8a047528ed3b728cc6

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:35.848027Z digest=sha256:057491d7b546fe0a588890a7ab000047038092adc7da959d7f2ee034c032dfe8

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:35.937987Z digest=sha256:2f2ea7c43ff43987ef7816095c301d8dac9db3212a68408dca4fcab338c28e76

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:36.090614Z digest=sha256:ebebbc03767446bf2a01887ccac80069dd5ab5733b6031ead3b7cd97d2bb9907

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:36.181436Z digest=sha256:f864745719498516f7b708567ff84c7002a5b04da5276b3203a11a29b03065e6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:36.329380Z digest=sha256:1e2a244ad32f6280be3acd8061ea89d63fe44a081568dc077aaa21b0e99ae123

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:36.444238Z digest=sha256:933adf0d8cfa8662df838a23512e700791e1805a7bebccbb6f1f43db4ca06ad6

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:36.527790Z digest=sha256:e9b278a304fa894fefa022b2fc1be43f992d82cd5907479a065b1e514072e4e7

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

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:36.638196Z digest=sha256:273633280bea86f16f43c1d6388b357979f757dec7d25298b985d3582b86435c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:36.763733Z digest=sha256:b0b5407d5fee24e8a6580ddb01460dc45d7ad796ca9ffdd160166f5afc78e1ab

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:36.882047Z digest=sha256:6704225e915b77d4d6783a810f960f9e778e2439616f04716e4627ac7c4f46e3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:37.001910Z digest=sha256:861b0e1f613754fb716da75b4b0bb09795e3d0b28ef4b1ef4768bb8f8fc84700

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:37.146416Z digest=sha256:9e153acc8ea6ed0be114408dec41d809889f10161ed75f21708a207904122d84

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

Resolution
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no resolver link, observed 2026-08-06T18:48:37.283345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:37.283345Z digest=sha256:49dcf7a4b158873e7627616ae447d8a7a7c73fcd6b1312924e82b09b491508f9

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

Resolution
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no resolver link, observed 2026-08-06T18:48:37.392730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:37.392730Z digest=sha256:becb990d552b40aff3e4d042e9339707e7ffc3cbfe70a491d755830e92324176

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:37.501985Z digest=sha256:3d2001a93018f27b76ec9ce9970df0ca8d6c184fea7292576c4fba50d5569336

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:37.614147Z digest=sha256:e5d7d9b86155be0f6ddd93fcbee810410b876ab7e73d9fc3fcaa7a0d1c48b6f8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:37.714586Z digest=sha256:cb6a017c0443facab7e43a097c541ef46e208657c44041e96398fe8468389839

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:37.825793Z digest=sha256:0dc4d9c7200a51e403f75846dcab70f35e5ade86d8a3ebac6b191d8afbbc3e0b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:37.918671Z digest=sha256:1999814b14668967baf1926ddf24839c4a296d4550f24364f3c7fa6f6dae339c

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:bc4e20e5f6673f29d13b699a2e4440a9ca464d82996632ebc2176ab659962982

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

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:38.155006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:38.155006Z digest=sha256:dac9c285db68b0879a68941174de1319c72139056c3ac11428f737c7dc1e3f79

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:38.405272Z digest=sha256:7afc03d90ad350c15b65aa9bd73a9caaaf5014a3f3b350f375bf269a572f4b56

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:38.563905Z digest=sha256:22420a87763547b4df9985b2041dfe2e3890bb87420bc848ea1276ff94ee8441

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:38.657342Z digest=sha256:63111d1dda03fcf174f1147311576816e859cfcfe0547da8634ba247148a370f

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=sha256:97cc4385da7ce4d8b69c7ea59ed295fa35bfe45aa248b08a18a8f3453851b69f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:38.852732Z digest=sha256:adb62d0bf36126d13bd5f82ef13f50833e26d7163927eab67b27e98ca4ea15ab

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:38.958431Z digest=sha256:f06f3ecafa9ce245af39b751b46a097218d7cf47938cacb0bed82fcfcf3d224c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:48:38.262858Z digest=sha256:4d746ec7c028b0c58ded10f2505577d4871e1d3ed0cbdff89424abdeabeb5313

Pith citing papers

No inbound Pith citation observations are available.