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Paper Citation Record · LEDGER

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class

As of 19 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.00208.

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

pith.paper-citation-record.v1
2506.00208 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:14:53.163558Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

49 of 49 outbound references displayed

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External citation measurements

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Outbound references

Observation bc3bc04d-6d87-4205-8cb7-55d1a2d5a33b · outbound

This paper cites Machine learning for predicting properties of porous media from 2d x-ray images.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Machine learning for predicting properties of porous media from 2d x-ray images

Reference 1

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Observation a778b4d9-63f4-4402-9491-ce584c1dd90e · outbound

This paper cites Digitization and image-based structure-properties relationship evaluation of a porous gold micro-electrode.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Digitization and image-based structure-properties relationship evaluation of a porous gold micro-electrode

Reference 2

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Observation 5f4a9331-9dc3-42a0-b35c-011dae114b6a · outbound

This paper cites Multitask learning: A knowledge-based source of inductive bias1.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Multitask learning: A knowledge-based source of inductive bias1

Reference 3

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Observation 79ab79fc-2aea-4a15-a351-73e7bcc0a42b · outbound

This paper cites Predicting the temperature field of thermal cloaks in homogeneous isotropic multilayer materials based on deep learning.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Predicting the temperature field of thermal cloaks in homogeneous isotropic multilayer materials based on deep learning

Reference 4

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Observation ad533ce4-24d8-4e80-ab84-86555967a876 · outbound

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

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks

Reference 5

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Observation d97b85a4-3539-4076-bf8f-ec024cdee79c · outbound

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

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Just pick a sign: Optimizing deep multitask models with gra- dient sign dropout

Reference 6

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Observation cc163d57-d9dd-4e16-905b-610f266dffbd · outbound

This paper cites Multinet++: Multi-stream feature ag- gregation and geometric loss strategy for multi-task learning.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Multinet++: Multi-stream feature ag- gregation and geometric loss strategy for multi-task learning

Reference 7

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Source-reported events for the cited work

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Observation 9b457467-0279-4aca-9ac3-83936981f8e4 · outbound

This paper cites Multi-task deep learning as multi-objective op- timization.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Multi-task deep learning as multi-objective op- timization

Reference 8

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Observation 8c9f7764-5014-4d1d-ba19-3f310f01db4c · outbound

This paper cites Improving image derived vegetation maps with regression based distribution modeling.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Improving image derived vegetation maps with regression based distribution modeling

Reference 9

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Observation 646c7226-1d3c-4509-bdd3-91c796aa0246 · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural networks.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Dermatologist-level classification of skin cancer with deep neural networks

Reference 10

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Observation 2f4fc793-6412-4a2f-8ada-853407c9fdbc · outbound

This paper cites Tood: Task-aligned one-stage object detec- tion.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Tood: Task-aligned one-stage object detec- tion

Reference 11

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Observation 01588266-6aca-4218-bf31-126e59ba1581 · outbound

This paper cites Miti- gating gradient bias in multi-objective learning: A provably convergent approach.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Miti- gating gradient bias in multi-objective learning: A provably convergent approach

Reference 12

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Observation 07da3df9-7b2b-4e9d-ad84-1185579ca208 · outbound

This paper cites Diagnostic ability of heidelberg retina tomograph 3 classifications: glau- coma probability score versus moorfields regression analy- sis.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Diagnostic ability of heidelberg retina tomograph 3 classifications: glau- coma probability score versus moorfields regression analy- sis

Reference 13

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Observation 42458ec4-f77f-43e3-a3e0-039cd74a00d0 · outbound

This paper cites Efficiently identifying task groupings for multi-task learning.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Efficiently identifying task groupings for multi-task learning

Reference 14

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Observation ace17c39-63e4-4e71-b6f7-3b62cca6d343 · outbound

This paper cites Ota: Optimal transport assignment for object detection.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Ota: Optimal transport assignment for object detection

Reference 15

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Observation 9a8e4218-0c4e-44b8-9d29-9407d46edebc · outbound

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

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Learn- ing to branch for multi-task learning

Reference 16

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Observation 2b92a153-9493-480c-ae94-72912acffcf1 · outbound

This paper cites A multi-task learning-based optimiza- tion approach for finding diverse sets of microstructures with desired properties.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class A multi-task learning-based optimiza- tion approach for finding diverse sets of microstructures with desired properties

Reference 17

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Source-reported events for the cited work

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Observation 823b8352-4f0d-449e-a394-e3633bdadda3 · outbound

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

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics

Reference 18

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Observation b5af75b5-3039-4fd1-89dc-1c06741a4512 · outbound

This paper cites Predicting the effective me- chanical property of heterogeneous materials by image based modeling and deep learning.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Predicting the effective me- chanical property of heterogeneous materials by image based modeling and deep learning

Reference 19

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Observation 9d093935-f55f-4599-860e-deeda3144074 · outbound

This paper cites Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection

Reference 20

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Observation 4b48a13a-2e0e-4792-b8ca-4cf69588b701 · outbound

This paper cites Libmtl: A python library for deep multi-task learning.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Libmtl: A python library for deep multi-task learning

Reference 21

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Observation 30e47178-7d78-4285-bcf6-4f99de4d5a7a · outbound

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

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning

Reference 22

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Observation 874325b0-a6e0-4ddb-ad30-f68a1a8b4b53 · outbound

This paper cites Dual-balancing for multi-task learning.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Dual-balancing for multi-task learning

Reference 23

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Observation 39ac8aaf-0f4e-4a94-9ec2-016411c59a85 · outbound

This paper cites Smooth Tchebycheff Scalarization for Multi-Objective Optimization.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Smooth Tchebycheff Scalarization for Multi-Objective Optimization

Reference 24

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Observation 2ff62123-26da-430c-8a11-a274764b79b3 · outbound

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

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Conflict-averse gradient descent for multi-task learn- ing

Reference 25

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Observation 3fe54de5-6be3-4e63-8167-d956758eb79e · outbound

This paper cites Towards impartial multi-task learning.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Towards impartial multi-task learning

Reference 26

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Observation 65678da6-77ff-4263-8efc-a79bb90377cb · outbound

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

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class End- to-end multi-task learning with attention

Reference 27

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Observation 7b3c1f94-e5d6-4932-a291-76040fcad3b0 · outbound

This paper cites Asm micrograph database™.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Asm micrograph database™

Reference 28

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Source-reported events for the cited work

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Observation 62db499d-41ef-4eac-9fb6-96ce11d3a320 · outbound

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

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Modeling task relationships in multi-task learning with multi-gate mixture-of-experts

Reference 29

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Observation 96d4cd74-fd68-4842-a262-ea3a8fab2449 · outbound

This paper cites An overview of microstruc- tural and material properties of ultra-high-performance con- crete.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class An overview of microstruc- tural and material properties of ultra-high-performance con- crete

Reference 30

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Observation c59467f7-1738-4149-a2fb-b6a102e64f5c · outbound

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

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Cross-stitch networks for multi-task learning

Reference 31

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Source-reported events for the cited work

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Observation f7180568-4361-4999-9b56-bb6c60484549 · outbound

This paper cites Electro- formed iron as new biomaterial for degradable stents: Devel- opment process and structure–properties relationship.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Electro- formed iron as new biomaterial for degradable stents: Devel- opment process and structure–properties relationship

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:51.244411Z digest=sha256:a689d114766ce337a81a24262dd2de33fc81bf6470a426c1f82e79731f0c7aec

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:14:51.309084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:14:51.309084Z digest=sha256:c45ecb824adba064132ebee6e456b82f3fdfac805467e860332b58e3d3b83f74

Observation fdce3fa1-4589-45fc-bda0-7bcdf68dcd62 · outbound

This paper cites Joint classification and trajectory regression of online handwriting using a multi-task learn- ing approach.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Joint classification and trajectory regression of online handwriting using a multi-task learn- ing approach

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:55.060878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:51.425567Z digest=sha256:9690a0fba97c25b84cf686f4fa52cda94257a52b9f2a9b5a190d3daa4a9aff3a

Observation 17221436-adc2-4937-a11b-7f1b1df20c06 · outbound

This paper cites Testing multivariate adaptive regression splines (mars) as a method of land cover classification of terra-aster satellite im- ages.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Testing multivariate adaptive regression splines (mars) as a method of land cover classification of terra-aster satellite im- ages

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:54.976934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:51.483081Z digest=sha256:74095f3ed3bb74624df786c8fc0d5c6cf92721462c226957ae3395f894521404

Observation 860ea519-dad6-41b3-9a2c-5882d3da7774 · outbound

This paper cites Low-latency task-oriented communications with multi-round, multi-task deep learning.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Low-latency task-oriented communications with multi-round, multi-task deep learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:54.865893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:51.565131Z digest=sha256:347866ea3d4d6dd12621e536498b499b6c427c4a4d43895ef6395c2176ea0a21

Observation 734c2600-c379-4cbf-b50b-bad41d954dd5 · outbound

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

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Multi-task learning as multi-objective optimization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:54.766501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:51.632357Z digest=sha256:7735255dea3e9caa374cd4b6bd0eed5cb533aa157dbb365795bc15d19d1323f8

Observation 15bda07a-5f72-46d3-98ff-d30f5dc848c3 · outbound

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

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Independent component alignment for multi-task learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:54.670472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:51.729606Z digest=sha256:51f20dd71576c57b8154cc27ada0c8707563915b407104136fa07d241632870d

Observation b7d8081c-a49a-4dc6-9c86-bce17e1c8695 · outbound

This paper cites Which tasks should be learned together in multi-task learning? In International Conference on Machine Learning, pages 9120–9132.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Which tasks should be learned together in multi-task learning? In International Conference on Machine Learning, pages 9120–9132

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:54.553762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:51.863611Z digest=sha256:10ed483bd73a0c40dbd3174837b51100731b9638cdd279dda90cc611f588c8f4

Observation 217b4d1c-4b3b-4252-b6ac-776aef0e7b8b · outbound

This paper cites Mechanical response of human red blood cells in health and disease: Some structure-property-function rela- tionships.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Mechanical response of human red blood cells in health and disease: Some structure-property-function rela- tionships

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:54.426611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:52.047239Z digest=sha256:4209afea92efc644b8d0234906c49776343fde23565de3d36523b00ca2a1c83b

Observation 7e365c39-16f1-4d49-b4d6-344994b4588f · outbound

This paper cites Progressive layered extraction (ple): A novel multi-task learning (mtl) model for personalized recommendations.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Progressive layered extraction (ple): A novel multi-task learning (mtl) model for personalized recommendations

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:54.337718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:52.199006Z digest=sha256:91513fb10fa34106ca9cd12303bb9157f7ef92c0d99d167a2cf7cf9d6fe4f81c

Observation f5b21f5e-1c40-4192-a205-4c6d4c27dc28 · outbound

This paper cites A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:54.198000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:52.310310Z digest=sha256:b376f15d47d2cdf6c2f96e8f2b06a7d36842dc49b5456d623549c2a54c41b17d

Observation 7cadf850-fd2a-402b-8c16-fe16058753ec · outbound

This paper cites Evo- lutionary neural architecture search for image restoration.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Evo- lutionary neural architecture search for image restoration

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:54.062615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:52.425219Z digest=sha256:3147bc186cd98628b7b44f7e5e115a6909cb3a4ab1a57b3370f155ec58bbc090

Observation 55a05229-1b0a-4dab-be7d-3c27c02fc372 · outbound

This paper cites Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:14:52.541069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:14:52.541069Z digest=sha256:51e30670f0f22a2dd99b291a735d65b5b7d57156796d75d00a8e9de1ca3c076c

Observation 271f9d58-e8c3-48c8-868f-68e149916c0f · outbound

This paper cites Heterogeneous multitask learning with joint sparsity constraints.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Heterogeneous multitask learning with joint sparsity constraints

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:53.999679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:52.631218Z digest=sha256:f78a47a22a8e98f44b93993b71a101aad56e52b1dc156cfd36d690847bc88094

Observation e66a5b8e-3bea-45af-9c90-123b7d3accdd · outbound

This paper cites Gradient surgery for multi-task learning.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Gradient surgery for multi-task learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:53.831518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:52.725460Z digest=sha256:13f57cb68e6616eadfac8f4a059d9af1f1fc016c549e8a82e3e4bdb498119222

Observation be416a6f-1057-4c04-aca6-9cec06a8b319 · outbound

This paper cites A survey on multi-task learning.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class A survey on multi-task learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T12:14:52.919613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:14:52.919613Z digest=sha256:52f63ee1ce05c3de16314db4c732195b044a142afe35b598c8d1d0a688fcaa06

Observation 2995f917-e6d8-4e0c-b34f-24fa97aabf02 · outbound

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

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Facial landmark detection by deep multi-task learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:14:53.688686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:53.070769Z digest=sha256:964032ad53866e079a2a035b44f1a288abf2f687aa30a4a24978d41f5a1e4a7e

Observation ce7c4e26-0f61-41a4-9353-d4c08f175ff1 · outbound

This paper cites an unresolved cited work.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:14:53.506383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T12:14:53.163558Z digest=sha256:920234743e82f17623f12decaee54487fa8e849ccef36119e6cd93aeff6a8138

Pith citing papers

No inbound Pith citation observations are available.