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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:36:38.039793Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:16:30.548575Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:36:38.039793Z digest=sha256:a8771a836a444cbed06f153581f5370e3533c5af89e0352eaa2d1b9f1d665abb

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=sha256:9f07db324cfb9d892909262ececd08471450af095e747d8a209944f6212f972b