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Paper Citation Record · LEDGER

Cross-stitch Networks for Multi-task Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1604.03539.

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

pith.paper-citation-record.v1
1604.03539 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:56:37.019997Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-15T05:29:48.302376Z

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 9f9ffef3-91f4-4432-b2e8-28b40a749521 · inbound

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Cross-stitch Networks for Multi-task Learning

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-05-15T05:29:48.305034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T05:25:38.967645Z digest=sha256:ce315c051b7dbeb41de8b210e92bfca47798d514437c06472ff2fa6415d47c56

Observation ba06321c-2d99-4d69-9e2d-c0a633583478 · inbound

Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning cites this paper.

Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning Cross-stitch Networks for Multi-task Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T07:56:37.019997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:56:37.019997Z digest=sha256:a57ca73a13613708a325e92d6bfa990870c38d17e0eed5473f782f3a694675f8