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Paper Citation Record · LEDGER

Constituency Parsing with a Self-Attentive Encoder

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.01052.

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

pith.paper-citation-record.v1
1805.01052 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 2026-08-14T13:08:08.617606Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:08:08.673225Z

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 31f6defb-2f81-4b90-8d0b-feab16e15a4c · 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 Constituency Parsing with a Self-Attentive Encoder

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:08:08.681558Z

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=2026-08-14T13:08:08.617606Z digest=sha256:c2a65d0e2181347187191beae835cc0b35ab0d6b26750915be9c82958c9fd8c3

Observation 17459dd9-2dbd-4d9d-b4bd-14471cd1386a · inbound

DiffLens: A Visualization System to Explore Local Differences in Graph Sampling cites this paper.

DiffLens: A Visualization System to Explore Local Differences in Graph Sampling Constituency Parsing with a Self-Attentive Encoder

Reference 56

Resolution
unresolved
no resolver link, observed 2026-07-14T05:41:33.141175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T05:41:33.141175Z digest=sha256:1de62bdc10263abe3fb88c7cb09d77a01bc3a70f76271ee35a5c0d54a7dd860a