Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:00.744358Z
Paper Citation Record · LEDGER
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain
As of 15 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.17634.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
32 of 32 outbound references displayed
- verified exact1
- verified fuzzy30
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c17a1fc8-11c0-437d-9a36-d949b8e2e7cb · outbound
This paper cites Impact of word embedding models on text analytics in deep learning environment: a review.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Impact of word embedding models on text analytics in deep learning environment: a review
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:06.720466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c0be63f1-431b-4aec-85ee-847d565ec7f8 · outbound
This paper cites An empirical study on the potential of word embedding techniques in bug report management tasks.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain An empirical study on the potential of word embedding techniques in bug report management tasks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:06.530854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d346712f-ec78-4a96-aaa9-db327de71e4c · outbound
This paper cites Linguistic regularities in continuous space word representations.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Linguistic regularities in continuous space word representations
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:06.370160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1e37fd0e-bee5-4536-97bf-30a37cbb72a6 · outbound
This paper cites A review on word embedding techniques for text classification.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain A review on word embedding techniques for text classification
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:06.154553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5b4e4e8c-1ca5-422f-9a97-7b7d36c6309f · outbound
This paper cites Deep learning with word embeddings improves biomedical named entity recognition.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Deep learning with word embeddings improves biomedical named entity recognition
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:05.963532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 73629352-b72e-4e47-a6a1-0f1a0e0b7b60 · outbound
This paper cites Learning continuous word embedding with metadata for question retrieval in community question answering.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Learning continuous word embedding with metadata for question retrieval in community question answering
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:05.779641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7ca61d71-e943-49dd-acae-8fdb77e4e43a · outbound
This paper cites Deep contextualized Word representations.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Deep contextualized Word representations
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:05.593001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5af25663-b6c3-459c-bc80-01a323c2316a · outbound
This paper cites Bert: Pre-training of deep bidirectional transformers for language understand- ing.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Bert: Pre-training of deep bidirectional transformers for language understand- ing
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:05.433801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 546ef1b0-9ea5-4783-b8dd-ef07ea948814 · outbound
This paper cites Software development methods: Review and outlook.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Software development methods: Review and outlook
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:05.267367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 708e6570-6b5d-46cf-a122-e7e44f973ffc · outbound
This paper cites FineLocator: A novel approach to method-level fine-grained bug localization by query expansion.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain FineLocator: A novel approach to method-level fine-grained bug localization by query expansion
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:05.040817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a019e0e9-a7c8-45de-a8e6-08ed7c05bba9 · outbound
This paper cites Fast changeset-based bug localization with BERT.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Fast changeset-based bug localization with BERT
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:04.854898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3532c217-f41e-407e-8515-1839de134c34 · outbound
This paper cites Automatic text input generation for mobile testing.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Automatic text input generation for mobile testing
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:04.695472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 68589c2b-4550-4dd2-89c4-32d01ee02539 · outbound
This paper cites Apiro: A framework for automated security tools api recommendation.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Apiro: A framework for automated security tools api recommendation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:04.474045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9ecc886c-cac4-4bf6-9640-4a2aacb5bdf3 · outbound
This paper cites Mining user opinions in mobile app reviews: A keyword-based approach (t).
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Mining user opinions in mobile app reviews: A keyword-based approach (t)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:04.282028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 886d20c7-277c-4678-8483-3e46ba8e2786 · outbound
This paper cites Efficient estimation of word representations in vector space.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Efficient estimation of word representations in vector space
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:04.112909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9519344e-3b84-4c10-9e5b-ee4cb5927808 · outbound
This paper cites Glove: Global vectors for word representation.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Glove: Global vectors for word representation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:03.915644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fc791fd0-f69a-4f3f-84db-44cb667e2785 · outbound
This paper cites Bag of tricks for efficient text classification.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Bag of tricks for efficient text classification
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:03.681349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 80033c62-569d-4827-8daa-07249e5560a0 · outbound
This paper cites Grounded theory research: Procedures, canons, and evaluative criteria.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Grounded theory research: Procedures, canons, and evaluative criteria
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:03.425439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ab5aa3bf-845d-4832-99c9-9f9375cd2130 · outbound
This paper cites Machine learning for software engineering: A tertiary study.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Machine learning for software engineering: A tertiary study
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:03.211183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b6c5173d-786c-430c-ad96-a6224ed40bd7 · outbound
This paper cites A survey on deep learning for software engineering.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain A survey on deep learning for software engineering
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:02.982774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6ed627d7-d79c-4207-b9b9-033ac802bfa4 · outbound
This paper cites Trends in software engineering processes using deep learning: a systematic literature review.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Trends in software engineering processes using deep learning: a systematic literature review
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:02.816731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 011f0412-2993-4f62-b144-8d03bb100de3 · outbound
This paper cites Machine/deep learning for software engineering: A systematic literature review.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Machine/deep learning for software engineering: A systematic literature review
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:02.642159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 024347ab-f9a1-48f7-9775-dc1269507ec0 · outbound
This paper cites Large Language Models for Software Engineering: A Systematic Literature Review.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Large Language Models for Software Engineering: A Systematic Literature Review
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:00.136973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb9c2000-17c9-4b74-8691-fe01ac812b8f · outbound
This paper cites Text classification using embeddings: a survey.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Text classification using embeddings: a survey
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:02.494954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 34a953f4-508a-43fa-8809-70eb61ba57b5 · outbound
This paper cites A review on word embedding techniques for text classification.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain A review on word embedding techniques for text classification
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:02.358090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation be069a98-ccfb-49fc-a370-a516018700eb · outbound
This paper cites A systematic literature review on word embeddings.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain A systematic literature review on word embeddings
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:02.192003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 499837c5-bb5b-4655-a751-06c67f4cbfa5 · outbound
This paper cites A detailed review on word embedding techniques with emphasis on word2vec.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain A detailed review on word embedding techniques with emphasis on word2vec
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:01.978973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation af5e0a8c-a108-4145-b576-24b93c36f242 · outbound
This paper cites From word to sense embeddings: A survey on vector representations of meaning.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain From word to sense embeddings: A survey on vector representations of meaning
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:01.748567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8517b51d-0887-4756-a6ff-9ba2f00fbc9c · outbound
This paper cites A comprehensive survey on aspect based word embedding models and sentiment analysis classification approaches.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain A comprehensive survey on aspect based word embedding models and sentiment analysis classification approaches
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:01.505863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 967d70df-71c2-425f-b2b1-4575af6b95f3 · outbound
This paper cites Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:46:00.963862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c66ae3fe-9daf-4cbd-97f3-82ccebae4b9c · outbound
This paper cites A survey of cross-lingual word embedding models.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain A survey of cross-lingual word embedding models
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:01.259308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a25f5990-319b-4cd0-837e-b8dc79a75105 · outbound
This paper cites Beyond word embeddings: A survey.
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Beyond word embeddings: A survey
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:01.095689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.