Paper Citation Record · LEDGER

Feature Partitioning for Efficient Multi-Task Architectures

As of 16 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:1908.04339.

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

pith.paper-citation-record.v1
1908.04339 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:48:45.703376Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:39:42.992654Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:39:44.298775Z

Reference resolution

39 of 39 outbound references displayed

verified exact5
verified fuzzy5
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a93f9279-6909-4c14-835a-64913ef243b2 · outbound

This paper cites Accelerating Neural Architecture Search using Performance Prediction.

Feature Partitioning for Efficient Multi-Task Architectures Accelerating Neural Architecture Search using Performance Prediction

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.120571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b17b1c76-11c0-41f8-868e-71de72b1025b · outbound

This paper cites Combating catastrophic forgetting with developmental compression.

Feature Partitioning for Efficient Multi-Task Architectures Combating catastrophic forgetting with developmental compression

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:48:46.089376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d6a5056-4db8-47de-a641-dddf75d40690 · outbound

This paper cites SMASH: One-Shot Model Architecture Search through HyperNetworks.

Feature Partitioning for Efficient Multi-Task Architectures SMASH: One-Shot Model Architecture Search through HyperNetworks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.189139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6687794c-fa87-47bc-9323-cb49a4d0db94 · outbound

This paper cites an unresolved cited work.

Feature Partitioning for Efficient Multi-Task Architectures Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:48:46.451349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 21ff7864-f960-4294-afc4-a5ec2ab3c90b · outbound

This paper cites Unifying and Merging Well-trained Deep Neural Networks for Inference Stage.

Feature Partitioning for Efficient Multi-Task Architectures Unifying and Merging Well-trained Deep Neural Networks for Inference Stage

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:48:46.035130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aedb617d-6b65-4ac1-80ef-be6601020a37 · outbound

This paper cites Peephole: Predicting Network Performance Before Training.

Feature Partitioning for Efficient Multi-Task Architectures Peephole: Predicting Network Performance Before Training

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.255964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3daed03e-eb30-4992-bee1-965747f5e13b · outbound

This paper cites IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

Feature Partitioning for Efficient Multi-Task Architectures IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.260051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60e64d79-696a-4d30-952d-4d9b2d57712f · outbound

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

Feature Partitioning for Efficient Multi-Task Architectures PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.263111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94a8378f-adb5-4b53-b333-6ea9788b4fc7 · outbound

This paper cites an unresolved cited work.

Feature Partitioning for Efficient Multi-Task Architectures Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:48:46.441959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a7701be5-04c3-450d-89b0-3f1d2a3903cc · outbound

This paper cites Multi-Task Zipping via Layer-wise Neuron Sharing.

Feature Partitioning for Efficient Multi-Task Architectures Multi-Task Zipping via Layer-wise Neuron Sharing

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:48:45.992999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation afdc6f0e-341f-461d-9ccc-1a63e5eb4554 · outbound

This paper cites Jiang, Z.

Feature Partitioning for Efficient Multi-Task Architectures Jiang, Z

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:48:46.407650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3edaf94f-8c75-45d0-b1f9-3fac8a0fcd20 · outbound

This paper cites One Model To Learn Them All.

Feature Partitioning for Efficient Multi-Task Architectures One Model To Learn Them All

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.277322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a48352f-1986-4db8-8d50-4bb9820293de · outbound

This paper cites Parallel Architecture and Hyperparameter Search via Successive Halving and Classification.

Feature Partitioning for Efficient Multi-Task Architectures Parallel Architecture and Hyperparameter Search via Successive Halving and Classification

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:48:45.969136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4084755f-01a0-48d4-8621-fa5269e88ba8 · outbound

This paper cites Random Search and Reproducibility for Neural Architecture Search.

Feature Partitioning for Efficient Multi-Task Architectures Random Search and Reproducibility for Neural Architecture Search

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.284290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df485cd3-4600-4775-a9f7-b84d98350847 · outbound

This paper cites Evolutionary Architecture Search For Deep Multitask Networks.

Feature Partitioning for Efficient Multi-Task Architectures Evolutionary Architecture Search For Deep Multitask Networks

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:48:45.945921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 84981c47-7659-4d00-8995-bf392c91bba9 · outbound

This paper cites Progressive Neural Architecture Search.

Feature Partitioning for Efficient Multi-Task Architectures Progressive Neural Architecture Search

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.344249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a1629b9-e150-4c31-9d3d-56835b585deb · outbound

This paper cites Hierarchical Representations for Efficient Architecture Search.

Feature Partitioning for Efficient Multi-Task Architectures Hierarchical Representations for Efficient Architecture Search

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.402006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a5b3ea8-e961-4f1b-8331-d22f824836ce · outbound

This paper cites End-to-End Multi-Task Learning with Attention.

Feature Partitioning for Efficient Multi-Task Architectures End-to-End Multi-Task Learning with Attention

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.434360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01bc20a8-0b77-4102-9b74-7b992ea87ae8 · outbound

This paper cites Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights.

Feature Partitioning for Efficient Multi-Task Architectures Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.438621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11e3ff6d-0fc1-4bf5-8fce-f192cf6d8ec7 · outbound

This paper cites Simple random search provides a competitive approach to reinforcement learning.

Feature Partitioning for Efficient Multi-Task Architectures Simple random search provides a competitive approach to reinforcement learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.442202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66fb5556-903d-4335-bd44-a786089d0b55 · outbound

This paper cites Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering.

Feature Partitioning for Efficient Multi-Task Architectures Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.445904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 729a35d0-98bd-4958-ad00-834d76b6b745 · outbound

This paper cites Misra, A.

Feature Partitioning for Efficient Multi-Task Architectures Misra, A

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:48:46.294675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f21672a-0fc1-4401-b739-7df629c26086 · outbound

This paper cites Efficient Neural Architecture Search via Parameter Sharing.

Feature Partitioning for Efficient Multi-Task Architectures Efficient Neural Architecture Search via Parameter Sharing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.452439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5114cc11-b047-4188-a69a-9b4ee6cc3e30 · outbound

This paper cites Regularized Evolution for Image Classifier Architecture Search.

Feature Partitioning for Efficient Multi-Task Architectures Regularized Evolution for Image Classifier Architecture Search

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.455667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c1d5de6-84f0-4597-b486-87e052576f11 · outbound

This paper cites Rebufﬁ, H.

Feature Partitioning for Efficient Multi-Task Architectures Rebufﬁ, H

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:48:46.237432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0292eeb9-7e9b-4d26-b75d-b1ccf4560563 · outbound

This paper cites Rebufﬁ, H.

Feature Partitioning for Efficient Multi-Task Architectures Rebufﬁ, H

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:48:46.210347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba6e41c5-f6aa-4408-b828-51c7fdad2482 · outbound

This paper cites Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning.

Feature Partitioning for Efficient Multi-Task Architectures Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.464569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 671abd4e-c100-4853-bd25-f98fc3ef1601 · outbound

This paper cites Incremental Learning Through Deep Adaptation.

Feature Partitioning for Efficient Multi-Task Architectures Incremental Learning Through Deep Adaptation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.467820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd3a64ed-3906-4727-8948-55b17c8a0147 · outbound

This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.

Feature Partitioning for Efficient Multi-Task Architectures An Overview of Multi-Task Learning in Deep Neural Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.471517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de0f676-4a73-4b57-bba7-fa80ae4a0c93 · outbound

This paper cites Latent Multi-task Architecture Learning.

Feature Partitioning for Efficient Multi-Task Architectures Latent Multi-task Architecture Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.475055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10e5dd78-efb5-44da-835d-ce9a97664265 · outbound

This paper cites Policy Distillation.

Feature Partitioning for Efficient Multi-Task Architectures Policy Distillation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.479129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b3be701-7cd8-4b75-be77-73e5a9f0424b · outbound

This paper cites Learning to Multi-Task by Active Sampling.

Feature Partitioning for Efficient Multi-Task Architectures Learning to Multi-Task by Active Sampling

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.565773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02d40ef2-1a39-44e5-9a95-5b8c0469ac40 · outbound

This paper cites Wierstra, T.

Feature Partitioning for Efficient Multi-Task Architectures Wierstra, T

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:48:46.200483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 955a2468-9503-41bb-9c32-9249620eb4e9 · outbound

This paper cites an unresolved cited work.

Feature Partitioning for Efficient Multi-Task Architectures Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:48:46.191183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf0a9037-31af-4f59-8985-c4e521bfaf26 · outbound

This paper cites an unresolved cited work.

Feature Partitioning for Efficient Multi-Task Architectures Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:48:46.181333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 394570f2-8970-4544-b58d-f9171025936b · outbound

This paper cites an unresolved cited work.

Feature Partitioning for Efficient Multi-Task Architectures Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:48:46.170863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 372e991a-b9f4-427f-af29-80b8be56d603 · outbound

This paper cites Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search.

Feature Partitioning for Efficient Multi-Task Architectures Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.696321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c5f8d7d-2e96-41fb-b9b8-046e3d6ae77c · outbound

This paper cites A Survey on Multi-Task Learning.

Feature Partitioning for Efficient Multi-Task Architectures A Survey on Multi-Task Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.699797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57d3b437-3398-4c01-bfcb-40f5abc42511 · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

Feature Partitioning for Efficient Multi-Task Architectures Neural Architecture Search with Reinforcement Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.703376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 99a35d9c-0a63-44ff-8d8d-1b1b9a40d7ad · inbound

Learning in Deep Networks under Dale's Constraint cites this paper.

Learning in Deep Networks under Dale's Constraint Feature Partitioning for Efficient Multi-Task Architectures

Reference 167

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T17:39:44.303990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.