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Paper Citation Record · LEDGER

An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2205.12755.

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

pith.paper-citation-record.v1
2205.12755 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:08:48.285174Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

19
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c185fd51-3227-4ecb-a34f-be14249a486e · inbound

Residual Feature-Reutilization Inception Network for Image Classification cites this paper.

Residual Feature-Reutilization Inception Network for Image Classification An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T00:40:07.894608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:40:07.894608Z digest=sha256:ef55367d5c1f1a6082f32793e8e5baea59948ab717562d7130f0eb1d82a65f74

Observation 19226569-07a3-47c0-ae0a-166b2391afb5 · inbound

Efficient Global Neural Architecture Search cites this paper.

Efficient Global Neural Architecture Search An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T04:33:53.982399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:33:53.982399Z digest=sha256:ee493cef4982a1a3bc5560cdd0d5787c5aae0d226f0732837f4188e3c514f19e

Observation b700012c-f986-4820-8af9-cf9364b2d4e6 · inbound

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks cites this paper.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems

Reference 2022

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T17:36:39.949936Z

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.

source=pdf_text observed=2026-08-06T17:36:38.039793Z digest=sha256:6f8aed9d4ecf1e087dc17e47a8d1b1fd04c99d0d2f481d4baf59979c2cd75454

Observation a363f351-6534-48a5-95a1-174390a342c4 · inbound

Handling Out-of-Distribution Data: A Survey cites this paper.

Handling Out-of-Distribution Data: A Survey An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T18:08:48.285174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:08:48.285174Z digest=sha256:422ae88e70b47a3e5b352cd7dc573d7533e707a89dca9cc3d0358f910baabf72

Observation a38b9f1a-f99a-48d3-b568-7cb90b0ddc87 · inbound

Modular Foundation Models for Time-Series Perception in Digital Twins cites this paper.

Modular Foundation Models for Time-Series Perception in Digital Twins An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems

Reference 82

Resolution
unresolved
no resolver link, observed 2026-07-12T01:22:51.284207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T01:22:51.284207Z digest=sha256:d37ed674a3d16f54ff606c6d98e735f1f268baab75a8453ec031a2a0ecc80989