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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 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 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:19.476496Z

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

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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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T19:24:11.907204Z digest=sha256:3be65399ee11ed009df63a947464d24f56ad686fbe70575ab1d04a3e18ab99fb

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T19:03:05.597295Z digest=sha256:188f7ef067047bd24ddbe11af9e3469858c5061314ab8d1f1d8eb9386de52554

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T01:56:41.152753Z digest=sha256:18e258276a5881a3befd250b15dd33e81ffa393edfedc1c93ff3a26e36d2b26f

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

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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=sha256:127f4963f3b86c9a80920da8f2d2b940d261ef488853471b97c27ba21709a761

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

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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=sha256:103af5b912dbd7b68fcc4052d3616ab06168409ebdc53d64c72ac0e9e729f9f5

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

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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=sha256:2dd69c754903af7fce3e0908149588d7e6df84d8087972a3f09bdb956f95d4d7

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

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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:e1aea2d27b872ed9b01e584379939b05066ba570e71edcac57a8a590339eab3a

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

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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:b6e45a5cd2a70e10862a649ec4e49a0bf71c2c1dd0cf386d7639b717f32cc743

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

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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:b2b643018675bd78ad37fa0c6fc2951e4656b41366c7445ac4733058b5c599ed

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T22:41:26.047957Z digest=sha256:f3fef71e7c498c45dbe3067359aa71bd6f6c24f7f0b5c011bc1f37201a6b4756

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

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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=sha256:7d03debefb23458432d9d729500188b415186ae91d73f4237cb1011cf820dc4e

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T08:11:31.181704Z digest=sha256:d6ebcbdc961033f8a93f167873a5fd3eb3077c9fda305580d381c4f7f5ab8cfc

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

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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=sha256:6767295571e1dd0ec8d1b95d19aa993f8edc037155922535e85d7aabffc6c00a

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T22:49:27.212862Z digest=sha256:7acf04a0fd016b4f9ac0a25d2f8e124537494bb71bc753c58ec15d0797732312

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T12:36:05.547383Z digest=sha256:ad073d286dc219bdc97a07f8c2f66b587935dd7fa4713d4e3e815937fc5d07c1

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T04:04:52.235611Z digest=sha256:8398bc0137720bbad070aa4ccd2aded214881423ac07d9a8912a38f856a55716

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T04:48:28.701927Z digest=sha256:acf876e6ee1905687e1fa13b7bca6e38a9479092a17474e53937c9a288a32851

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T00:41:03.586574Z digest=sha256:d6e86294001464b144f3751600ca826b50d995b2ea059d5daa4828a7a797554c

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T10:33:28.276228Z digest=sha256:5b116a35377dcede7e851c436c5e730a856f4b8beab1bdcccb2739c95f169813

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T15:18:17.427707Z digest=sha256:715e33d88b67ff13633671204f57342c977286a8df253e1c7d29685b433030b2

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T23:17:03.456746Z digest=sha256:4e0d32ac71866496c9fb5ee6a3ab92d93fe89e5da0c760e581fd1866e08eea7b

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T04:17:18.483765Z digest=sha256:ad999ef659409e5f0877b154262e50123db43297ac55a4546900adb309e14009

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T19:58:46.715154Z digest=sha256:2745c656c142fcef97b05b3d2d2e0be6f09e19faeb9e2c430d16deee729bedae

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T13:20:38.336401Z digest=sha256:bf332ca8781d40a52758c7901bfb7e38cf6c9178c0664b3d869945f5dfcba920

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T21:30:03.573719Z digest=sha256:4b25c7416e6c946eaa7f77de800e35a4ff039fb4b88b31601cf7d8360f68eea8

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-01T02:06:18.670195Z digest=sha256:39f9b9df9eb6a4c66fbcd03db1e0074ccaabf2395db8e2070fa413ebf7fc9401