Pith. sign in

Paper Citation Record · LEDGER

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:1901.11196.

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

pith.paper-citation-record.v1
1901.11196 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:53:48.749344Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

198
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2fae0836-11fc-4ae8-b38a-5078b79b95b1 · inbound

Text and Code Embeddings by Contrastive Pre-Training cites this paper.

Text and Code Embeddings by Contrastive Pre-Training EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:24:12.104897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T19:24:11.907204Z digest=sha256:f9bf8e8ce0d9fc27741b2aae6dcb1556b9885d93606f26f13e4151643e553c9e

Observation a83f4541-3d3c-4559-a662-f57c4137e08d · inbound

ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.

ART: Automatic multi-step reasoning and tool-use for large language models EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T19:03:06.067623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T19:03:05.597295Z digest=sha256:65127cfc66439a869d8b5b0964655c10390cb7410eb7dc06aab6322ead8922cf

Observation ac0c5486-a3fc-4b3e-ae83-d7053eeacd70 · inbound

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks cites this paper.

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:48.749344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:53:48.749344Z digest=sha256:3b11053400467b5bc1dcdd2f5e56ceef45b6243937595e9b28d7c60034f6d0b1

Observation 5b2e7366-14c3-4faa-88fa-17c30b7c5428 · inbound

Emotion Recognition and Generation: A Comprehensive Review of Face, Speech, and Text Modalities cites this paper.

Emotion Recognition and Generation: A Comprehensive Review of Face, Speech, and Text Modalities EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-09T18:23:41.133777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:23:41.133777Z digest=sha256:538842dc83a3f165010968718b85f5a3a866165aec12d1729e75dad5167204b4

Observation 888c4da3-a700-41a5-aa2a-8df7295b998c · inbound

A Large-Scale Benchmark for Vietnamese Sentence Paraphrases cites this paper.

A Large-Scale Benchmark for Vietnamese Sentence Paraphrases EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-08T13:35:29.948659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:35:29.948659Z digest=sha256:630f37d1b07457d280f686500b40b0eaeadeb70cb74e01383bcb5a41442f7ed0

Observation 2c6f0706-79b2-4a46-b5b1-f545bbaef59c · inbound

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study cites this paper.

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:57:22.850575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T01:56:41.152753Z digest=sha256:eb8ce395f347f7bdbcc86128a0bb27e9f24f37027569d241f7103ce11b16f128

Observation 5939c643-4574-4da8-8e76-c5e1d1ca55b5 · inbound

Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs cites this paper.

Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:19.476496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:00:19.476496Z digest=sha256:7dafada6be3c1f91fde875f7dab941cc971484a0b7f3d4431643528611d3dae6

Observation f7c97eea-c263-4b52-aeda-2d089288d7ff · inbound

3D Skeleton-Based Action Recognition: A Review cites this paper.

3D Skeleton-Based Action Recognition: A Review EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T11:59:20.961967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:59:20.961967Z digest=sha256:c431e77dd70e799fbad909c062bb504b99036a92e0254de5f538bed7547d00d2

Observation 2b9ea115-1214-4048-b6e4-1eff698a8c29 · inbound

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching cites this paper.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T11:22:46.958295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:22:46.958295Z digest=sha256:f7bc5acde33438eaeaa3438643825cfdfd290693b0586a810c9bd0f3b1ce30d8

Observation ded7e81e-157e-4832-be5d-73889480a545 · inbound

Explainable AI: XAI-Guided Context-Aware Data Augmentation cites this paper.

Explainable AI: XAI-Guided Context-Aware Data Augmentation EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:57.070884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:57.070884Z digest=sha256:3aad1a14e3cc774d54a1af7fe21acf8f6a222d5aacbe2dd964916f9a042b7b65

Observation 7ec3effb-2a4d-493b-9ab5-d78adffcce4d · inbound

Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis cites this paper.

Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:21.151937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:21.151937Z digest=sha256:07fca694f3d63f6998648d3e2e8c294b588baee75380ac58ed03fb100b1cf907

Observation ef81e498-23a0-4969-9da0-72c9afe94548 · inbound

Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification cites this paper.

Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T15:43:27.409778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:27.409778Z digest=sha256:a7fb4cfd2f5e25623656e43bf8e106c4ba8cc801e924f48fe52baa20ebd43740

Observation 2a2e483d-84ab-4a49-99ef-b9af3e100690 · inbound

Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models cites this paper.

Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.067455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T22:41:26.047957Z digest=sha256:ea4b98d4feb7dccb6a42be7df6bcc237ceacea22d95c50cbdde36d3436ea04e4

Observation d0c1ca68-9855-4778-b9c9-7425114a874e · inbound

Dual Enhancement on 3D Vision-Language Perception for Monocular 3D Visual Grounding cites this paper.

Dual Enhancement on 3D Vision-Language Perception for Monocular 3D Visual Grounding EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T15:59:18.910505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:59:18.910505Z digest=sha256:7b4ba8b00df55e383cd8aadb69123093d513f1538d36dbc834591cca43716626

Observation 1bfb0a6d-bfa1-413e-8a91-b1a4ef58bb5d · inbound

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects cites this paper.

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 272

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T08:12:30.367117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T08:11:31.181704Z digest=sha256:33e72d2b0d1513078906c579e9b22edb01fd34b2524e5c47d70d983d0582eb16

Observation c3ab6090-92bc-493c-8266-844397e9135c · inbound

inversedMixup: Data Augmentation via Inverting Mixed Embeddings cites this paper.

inversedMixup: Data Augmentation via Inverting Mixed Embeddings EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T07:00:24.789339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:00:24.789339Z digest=sha256:9c75ad4f92e6c2da067fd1ffac7f41c2e8fe7701746c2b7624702d253cb36c67

Observation c7c83851-1a58-476f-b86e-628122f20575 · inbound

What Are Adversaries Doing? Automating Tactics, Techniques, and Procedures Extraction: A Systematic Review cites this paper.

What Are Adversaries Doing? Automating Tactics, Techniques, and Procedures Extraction: A Systematic Review EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 160

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:53:23.592689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T22:49:27.212862Z digest=sha256:de2bcd61286fbbdd87c3d3a92c0027e449b03a4ba49e2b2c809f2cb8f10c619b

Observation 78f4fd42-e3c9-4a50-a66f-74b145e8b2cc · inbound

From Pre-trained Models to Large Language Models: A Comprehensive Survey of AI-Driven Psychological Computing cites this paper.

From Pre-trained Models to Large Language Models: A Comprehensive Survey of AI-Driven Psychological Computing EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T12:40:00.362002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T12:36:05.547383Z digest=sha256:93e946c30f444191682de20b88c1a9142ea0de770f86c97e2df0235bb287f615

Observation 9964e32d-b46e-491c-b645-bb1c29477cc9 · inbound

Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations cites this paper.

Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T04:09:57.420810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T04:04:52.235611Z digest=sha256:c850113a583078762486a009c7cbadcc76202104b34fc14b0180065bc662f31e

Observation d547aacf-2200-488c-acd1-f13e4438f0b1 · inbound

Model-Agnostic Meta Learning for Class Imbalance Adaptation cites this paper.

Model-Agnostic Meta Learning for Class Imbalance Adaptation EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:35:19.294698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T04:48:28.701927Z digest=sha256:fa608a430e63d62ecfea28992b70d30b54ca52c175214f8f9c8adfc6f4cce84f

Observation 37f898e9-1a87-414f-9240-03455ce844bd · inbound

Duluth at SemEval-2026 Task 6: DeBERTa with LLM-Augmented Data for Unmasking Political Question Evasions cites this paper.

Duluth at SemEval-2026 Task 6: DeBERTa with LLM-Augmented Data for Unmasking Political Question Evasions EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:46:02.459996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T00:41:03.586574Z digest=sha256:0fbd2943ebfe1a0b85283e059e5a7a83c104e820a7871a0b1e45ac7530c501db

Observation d8e4cd9f-4047-4928-8269-0b5d01fcc5b2 · inbound

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation cites this paper.

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:31:26.999284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T10:33:28.276228Z digest=sha256:c03696e651c56d8bf9edac8498d96a3556ffa7603e446381e560b061c29e74c6

Observation e87c0e37-a589-4688-852e-6e2842bdec0d · inbound

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search cites this paper.

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 176

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:36:16.965454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T15:18:17.427707Z digest=sha256:74b5e3a3bbfb7afbf9c2c4977ac418904693386bf9897d737b21cd9b8ab55abe

Observation c4749833-0c9f-4b6a-b062-c02075baf4ac · inbound

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search cites this paper.

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 176

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:17:28.850075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-02T23:17:03.456746Z digest=sha256:df4e0b8e96f6ade3c24af5e28a626006b97463bc14b29be49a6eee253519a5c9

Observation b35a08e7-1785-4cbd-938e-db41415d138c · inbound

Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems cites this paper.

Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 155

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T11:16:53.817430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T04:17:18.483765Z digest=sha256:b12a173b50575a394d8bef33ca54f0894aafd1f0c38f663c87b943e7525e3dfd

Observation 9a4becef-3c80-4b16-a25e-f5c60f87b7e8 · inbound

Cross Paraphrastic Invariance Learning for Hallucination Detection cites this paper.

Cross Paraphrastic Invariance Learning for Hallucination Detection EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:57:23.742584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T19:58:46.715154Z digest=sha256:95e385db5b7c7d5e03797c6f7a093b961193e85ee0b91e250fa3770cfcb428da

Observation 6329f739-0e19-4713-8c77-f37bab2cf260 · inbound

Small Data, Big Noise: Adversarial Training for Robust Parameter-Efficient Fine-Tuning cites this paper.

Small Data, Big Noise: Adversarial Training for Robust Parameter-Efficient Fine-Tuning EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T05:17:40.235205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T13:20:38.336401Z digest=sha256:915dfbb76826980828963a71043f654b39ff98098d9eee8ab826a6ea1ac5131e

Observation ee5e2a28-94fb-4c12-85c0-11da37894356 · inbound

Rethinking Text-to-Image as Semantic-Aware Data Augmentation for Indoor Scene Recognition cites this paper.

Rethinking Text-to-Image as Semantic-Aware Data Augmentation for Indoor Scene Recognition EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:09:14.176566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T21:30:03.573719Z digest=sha256:59b0f563b1e4b3270cf19721dd7f1feb0d5075d15bf2c87923cafec0f3f4186e

Observation 8cd5f321-7711-48a2-9cb3-a02f26eee313 · inbound

Multilingual Polarization Detection Using Transformer-Based Models with Class Weighting and Threshold Tuning cites this paper.

Multilingual Polarization Detection Using Transformer-Based Models with Class Weighting and Threshold Tuning EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T12:25:43.535957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T02:06:18.670195Z digest=sha256:81ca3ec28d7cd8b3fcfd003ae86bb6610853d3429cf3e5c435d9ae65232df8d6