Paper Citation Record · LEDGER

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis

As of 18 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2412.04413.

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

pith.paper-citation-record.v1
2412.04413 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:30:19.651328Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:30:19.651328Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T21:30:19.707674Z

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy35
unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d61d8d7-fb54-4f08-904c-af16a38d1ef9 · outbound

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

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Multi-task learning for dense prediction tasks: A survey,

Reference 1

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Observation 0b2553fa-54aa-4d23-8a86-6c394735baf5 · outbound

This paper cites A survey on multi-task learning,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis A survey on multi-task learning,

Reference 2

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Observation 6fcd7687-0f2b-4ce8-adc7-ab935e737b4e · outbound

This paper cites Caruana, Multitask Learning.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Caruana, Multitask Learning

Reference 3

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Observation aac3651c-7b10-4e68-8c13-74bcc2abe57e · outbound

This paper cites Multi- task learning with attention for end-to-end autonomous driving,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Multi- task learning with attention for end-to-end autonomous driving,

Reference 4

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Observation 4dc87124-3890-439f-89d0-de18f1e0d922 · outbound

This paper cites Mtdiag: an effective multi-task framework for automatic diagno- sis,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Mtdiag: an effective multi-task framework for automatic diagno- sis,

Reference 5

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Observation 416d77c0-d25c-4a7f-98e8-b06059c513c5 · outbound

This paper cites Learning to branch for multi-task learning,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Learning to branch for multi-task learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:20.652951Z

Source-reported events for the cited work

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Observation e70a8903-7f07-4ee0-a345-03b9ba65d990 · outbound

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

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Multitask learning: A knowledge-based source of inductive bias,

Reference 7

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Observation e4e129fd-1242-443c-ac33-ffca11df77cb · outbound

This paper cites Gradient surgery for multi-task learning,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Gradient surgery for multi-task learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:20.609936Z

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Observation 04a6fa17-ec76-4e36-a74c-aaecf31ec8c8 · outbound

This paper cites Loss-balanced task weighting to reduce negative transfer in multi-task learning,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Loss-balanced task weighting to reduce negative transfer in multi-task learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:20.589781Z

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Observation 645c475e-cf05-4c8c-9a8e-a9a8d05e7367 · outbound

This paper cites Which tasks should be learned together in multi-task learning?.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Which tasks should be learned together in multi-task learning?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:20.566377Z

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Observation cb5e8a1b-90d8-4449-8eaa-849bd985d525 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis On First-Order Meta-Learning Algorithms

Reference 11

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Observation 6bddb0be-b9d8-4d5f-955d-b246fe71c782 · outbound

This paper cites Dynamic neural graphs based federated reptile for semi-supervised multi-tasking in healthcare applications,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Dynamic neural graphs based federated reptile for semi-supervised multi-tasking in healthcare applications,

Reference 12

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Observation 43ae4351-5d4f-4d81-8122-a0d7e5fd10ed · outbound

This paper cites Bridging multi-task learning and meta-learning: Towards efficient training and effective adapta- tion,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Bridging multi-task learning and meta-learning: Towards efficient training and effective adapta- tion,

Reference 13

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Source-reported events for the cited work

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Observation 54d80d9b-7b85-4d5e-aac1-2a1be988c811 · outbound

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

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Efficiently identifying task groupings for multi-task learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:20.493584Z

Source-reported events for the cited work

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Observation 9091e680-6805-4c6a-bbc6-da2e83544774 · outbound

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

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Multi-task learning using uncertainty to weigh losses for scene geometry and semantics,

Reference 15

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Source-reported events for the cited work

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Observation 824e1e79-8874-4368-9c19-8df5c66e9205 · outbound

This paper cites Asymmetric multi-task learning based on task relatedness and loss,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Asymmetric multi-task learning based on task relatedness and loss,

Reference 16

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Source-reported events for the cited work

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Observation d8a26003-7ac7-4398-a2d7-37860f1038fb · outbound

This paper cites Learning task grouping and overlap in multi-task learning,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Learning task grouping and overlap in multi-task learning,

Reference 17

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Source-reported events for the cited work

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Observation de8b55fc-c78c-460f-9295-3a9fc67f87a8 · outbound

This paper cites Gradsign: Model performance inference with theoretical insights,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Gradsign: Model performance inference with theoretical insights,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:20.409440Z

Source-reported events for the cited work

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Observation c26d6896-1b87-4d02-9cf5-7dbbf5645e62 · outbound

This paper cites Graph Attention Networks.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Graph Attention Networks

Reference 19

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Observation 31bc9efe-ddbb-4a68-a36f-500367b3f9c0 · outbound

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

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Cross-stitch networks for multi-task learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:20.388622Z

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Observation 2de33b7b-dfc9-4172-8e41-eff7c505b898 · outbound

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

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Modeling task relationships in multi-task learning with multi-gate mixture- of-experts,

Reference 21

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Source-reported events for the cited work

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Observation a7745290-ed5a-4efe-b56e-a7286b24d376 · outbound

This paper cites Grad- norm: Gradient normalization for adaptive loss balancing in deep multitask networks,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Grad- norm: Gradient normalization for adaptive loss balancing in deep multitask networks,

Reference 22

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Observation eb5d3927-0f0f-4602-acd1-11ccf213423d · outbound

This paper cites End-to-end multi-task learn- ing with attention,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis End-to-end multi-task learn- ing with attention,

Reference 23

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Observation ff780e7e-d596-45d6-80f0-d8e406691c6a · outbound

This paper cites Pyramidal person re-identification via multi-loss dynamic training,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Pyramidal person re-identification via multi-loss dynamic training,

Reference 24

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Observation d787f153-cb24-4ea5-b6d3-06f416a6b60f · outbound

This paper cites Dy- namic task prioritization for multitask learning,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Dy- namic task prioritization for multitask learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:20.301158Z

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Observation f3d60ebb-896b-4876-b234-f70ba225efcb · outbound

This paper cites Adaptive Scheduling for Multi-Task Learning.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Adaptive Scheduling for Multi-Task Learning

Reference 26

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

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Multi-task learning as a bargaining game,

Reference 27

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Observation 83208dad-96e6-4039-8556-5138ac2cce53 · outbound

This paper cites Efficient and effective multi-task grouping via meta learning on task combinations,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Efficient and effective multi-task grouping via meta learning on task combinations,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:20.259993Z

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Observation 0f2dbc83-91a8-4ca6-b794-01442e601764 · outbound

This paper cites Towards theoretically inspired neural initialization optimization,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Towards theoretically inspired neural initialization optimization,

Reference 29

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Observation 0c4b6ac2-d6f2-4d35-9225-140d6f718f84 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Learning multiple layers of features from tiny images,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:20.223209Z

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Observation 04f32a8b-2edc-4cbf-afdb-e9044c9b7a7f · outbound

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Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Reading digits in natural images with unsupervised feature learning,

Reference 31

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Observation 7f3c7e3e-8f06-454f-b663-dacd343da0d3 · outbound

This paper cites Multi-class texture analysis in colorectal cancer histology,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Multi-class texture analysis in colorectal cancer histology,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:20.178747Z

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Observation fb5162d3-2093-469d-a24c-ac7c4c45cdcf · outbound

This paper cites Multixc-qm9: Large dataset of molecular and reaction energies from multi-level quantum chemical methods,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Multixc-qm9: Large dataset of molecular and reaction energies from multi-level quantum chemical methods,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:30:20.157187Z

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Observation f0dfb84b-3fba-453d-9316-69a789aa6372 · outbound

This paper cites Deep learning face attributes in the wild,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Deep learning face attributes in the wild,

Reference 34

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Observation 20c267a7-1c01-4947-87c3-4a77837c0a99 · outbound

This paper cites Mimic-iii, a freely accessible critical care database,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Mimic-iii, a freely accessible critical care database,

Reference 35

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Observation ccd752f2-54ef-4ccf-bdae-816baed6524f · outbound

This paper cites Multitask learning and benchmarking with clinical time series data,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Multitask learning and benchmarking with clinical time series data,

Reference 36

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Observation 065d5f50-69f0-4baa-9dbe-eb2b888598dd · outbound

This paper cites An Analysis of Sin- gle Layer Networks in Unsupervised Feature Learning,.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis An Analysis of Sin- gle Layer Networks in Unsupervised Feature Learning,

Reference 37

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Observation 835f2a01-1e60-4fd2-a33c-887a5aed68be · outbound

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Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Pre-trained convo- lutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images,

Reference 38

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Reference 39

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Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Unresolved cited work

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Reference 45

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Reference 46

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Reference 47

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Observation 7e135ba8-3896-45fe-8231-4a396bbee4a4 · outbound

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Reference 48

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Observation 09d3de0b-f3bc-4dcf-8bc2-946aedbfe0bc · outbound

This paper cites Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis.

Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis

Reference 49

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Pith citing papers

Observation 09d3de0b-f3bc-4dcf-8bc2-946aedbfe0bc · inbound