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Paper Citation Record · LEDGER

Regularizing Deep Multi-Task Networks using Orthogonal Gradients

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.06844.

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

pith.paper-citation-record.v1
1912.06844 v1

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:54:02.505837Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:43:15.239031Z

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 e8127f29-82b1-4ffb-84db-6d8a080f93a4 · inbound

AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics cites this paper.

AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Regularizing Deep Multi-Task Networks using Orthogonal Gradients

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T18:54:02.505837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:54:02.505837Z digest=sha256:8767b2aa1cf9a6a39ace95747a79e91f118b7391e16c53ed32177c696aefd9ca

Observation 14f79cd2-f71d-4625-905a-062b26ac84e2 · inbound

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention cites this paper.

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention Regularizing Deep Multi-Task Networks using Orthogonal Gradients

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:43:15.240530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T08:39:14.327838Z digest=sha256:72009b171006909d21277bd39acf1b22da4dccc6ac5c1be580d6c0d9b69af237