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Paper Citation Record · LEDGER

A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.05589.

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

pith.paper-citation-record.v1
2312.05589 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:42:00.562205Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:33:23.934292Z

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 375832ef-66e2-4c49-a56c-395ec1432beb · inbound

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction cites this paper.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T14:33:23.957194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:33:23.050752Z digest=sha256:a68b4327f5f48b520297ed96a25468693f41a1ff4376ddb7a4c5987fec84a2dc

Observation f510429a-b899-490c-8313-96d307228e92 · inbound

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition cites this paper.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T16:42:00.562205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:42:00.562205Z digest=sha256:dbeba554d4adf5476a31f6a00341dee2be1f600af8d5d3fe87c984b18ea8c6c9