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Paper Citation Record · LEDGER

Adversarial Multi-task Learning for Text Classification

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1704.05742.

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

pith.paper-citation-record.v1
1704.05742 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:42:40.948000Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:08:08.956313Z

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 887ab7d6-e72e-4a36-9b64-556c7e53f35d · inbound

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing cites this paper.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Adversarial Multi-task Learning for Text Classification

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:08:08.961976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T13:08:08.447430Z digest=sha256:4b7217d1db15a7c4868b804f758225ffaefad6ab9782a65158935ed1ef2f5671

Observation 54835266-9fd4-497a-b098-498627dc7da1 · inbound

Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis cites this paper.

Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis Adversarial Multi-task Learning for Text Classification

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T22:42:40.948000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:42:40.948000Z digest=sha256:3d2e4f44f540371700803e0bd9751c6d443358ed44c05969362e6d76e85c7bdd