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Paper Citation Record · LEDGER

Globally Normalized Transition-Based Neural Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1603.06042.

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

pith.paper-citation-record.v1
1603.06042 v2

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:15:47.798059Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T11:45:59.183954Z

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 80373038-c13d-47e6-8a5d-32827f10e554 · inbound

Autoregressive Text Generation Beyond Feedback Loops cites this paper.

Autoregressive Text Generation Beyond Feedback Loops Globally Normalized Transition-Based Neural Networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T10:15:47.798059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.798059Z digest=sha256:5cfd9541a6d3d3a244bb97241ff8d18db83c07019126dca501aeb2c2cd2ba07d

Observation 75fa0f0f-4765-429f-968f-f12a7b5ccbce · inbound

Stealthy Multi-Task Adversarial Attacks cites this paper.

Stealthy Multi-Task Adversarial Attacks Globally Normalized Transition-Based Neural Networks

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:45:59.188843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T11:45:58.860805Z digest=sha256:0310581d312dcd1a1684eadc5f5f367fc9830f10bf2d642cb87b2825f122bfe2