Paper Citation Record · LEDGER

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:1908.02579.

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

pith.paper-citation-record.v1
1908.02579 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:42:29.987592Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact1
verified fuzzy19
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4578b5d-b127-4645-8bf7-fe7f651d4075 · outbound

This paper cites Recent Trends in Deep Learning Based Natural Language Processing [Review Article].

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.357195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b224f0a8-645c-40be-8db9-65dd3dc26f31 · outbound

This paper cites an unresolved cited work.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:42:30.343248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2a0e6faa-6975-4b93-8e51-81182ed5649b · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Efficient Estimation of Word Representations in Vector Space

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T14:42:29.895297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2348f08-d4ff-4d36-99c6-4cd50f7bf6f5 · outbound

This paper cites Glove: Global Vectors for Word Representation.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Glove: Global Vectors for Word Representation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.328771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation be5feca4-a3cf-45b6-b52e-35da60ce324c · outbound

This paper cites Distributed Representations of Sentences and Documents.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Distributed Representations of Sentences and Documents

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.313914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6d2f7681-c8c4-4d1b-9c1b-3b77e7ee740e · outbound

This paper cites AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.298938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 730a295a-b6ce-4016-9dd8-daadad363d47 · outbound

This paper cites A Survey on Transfer Learning.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification A Survey on Transfer Learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.284764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ab99c24b-1c50-45e7-b914-2c7b1b3aed6c · outbound

This paper cites Supervised Fine Tuning for Word Embedding with Integrated Knowledge.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Supervised Fine Tuning for Word Embedding with Integrated Knowledge

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:42:30.030549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e7f694a-6fe4-4380-9b70-d7219694060f · outbound

This paper cites Re-embeddingWords.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Re-embeddingWords

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.269920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 67e1cea4-9889-4639-8cb6-961d60973903 · outbound

This paper cites Adjusting Word Embeddings by Deep Neural Networks.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Adjusting Word Embeddings by Deep Neural Networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.254550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 75073e33-6417-4670-b5ec-6e01252a1d30 · outbound

This paper cites Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.240598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b6b0e117-30f2-4431-b8f4-fef4d194a75c · outbound

This paper cites Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.226487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 305bec0b-3ac5-4d2d-ba70-e43361040f6c · outbound

This paper cites an unresolved cited work.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:42:30.212082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01f665c1-43df-416a-b9bc-1b0197a6dd1b · outbound

This paper cites PPDB: The Paraphrase Database.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification PPDB: The Paraphrase Database

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.197929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9bdcef5-86cf-4d95-9dcc-8ae901d57a22 · outbound

This paper cites Long Short-Term Memory.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Long Short-Term Memory

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.183651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d5006f5-fd19-40c6-8d80-d82e7acab20e · outbound

This paper cites Emotional Tone Detection in Arabic Tweets.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Emotional Tone Detection in Arabic Tweets

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.169602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cdc59a07-d204-47d6-99c2-187e957c976e · outbound

This paper cites Tackling the Poor Assumptions of Naive Bayes Text Classifiers.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Tackling the Poor Assumptions of Naive Bayes Text Classifiers

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.155122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 542d0d3b-42ab-420b-995b-86c5359ce9e3 · outbound

This paper cites Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.138240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3153843d-88fd-45ea-a546-3f73d3c2e117 · outbound

This paper cites Convolutional Neural Networks for Sentence Classification.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Convolutional Neural Networks for Sentence Classification

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.120979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3de64a05-959c-4751-9398-47b192ce5296 · outbound

This paper cites A Convolutional Neural Network for Modelling Sentences.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification A Convolutional Neural Network for Modelling Sentences

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.107024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 09f24f50-65e8-47c8-aa78-00edaa9d0eff · outbound

This paper cites Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.093361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a27e5392-830f-4659-8c42-e59fb6f4721b · outbound

This paper cites NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.078889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 52e92b81-45a1-4a71-bb74-41c5a0d57b10 · outbound

This paper cites SemEval-2018 Task 1: Affect in Tweets.

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification SemEval-2018 Task 1: Affect in Tweets

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:42:30.064163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.