Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:58:25.312915Z
Paper Citation Record · LEDGER
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis
As of 10 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2507.12126.
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 2026-08-09T06:31:02.800959+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
63 of 63 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0dd2406b-f1eb-4d8d-a437-18444fc9792b · outbound
This paper cites an unresolved cited work.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Unresolved cited work
Reference 1
- Resolution
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Observation bbeb9cdd-b2cf-480e-9d04-39f3cf40537d · outbound
This paper cites an unresolved cited work.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Unresolved cited work
Reference 2
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Source-reported events for the cited work
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Observation 7d83607f-cbc3-4691-9000-14a29942345d · outbound
This paper cites hot” and “cold.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis hot” and “cold
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation d322a2aa-a877-4f1b-8cd6-d59842f1d06a · outbound
This paper cites Topic models.
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b8c357eb-8ed0-49c6-a4f1-734e96ab3555 · outbound
This paper cites Enhancing BERTopic with Pre-Clustered Knowledge: Reducing Feature Sparsity in Short Text Topic Modeling,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Enhancing BERTopic with Pre-Clustered Knowledge: Reducing Feature Sparsity in Short Text Topic Modeling,
Reference 5
- Resolution
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Source-reported events for the cited work
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Observation 41dd7e58-5a71-4d7c-9597-317aecf8a851 · outbound
This paper cites Natural language processing: state of the art, current trends and challenges,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Natural language processing: state of the art, current trends and challenges,
Reference 6
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 39a23df3-eb7b-4bd6-b31d-39f2afa91da6 · outbound
This paper cites A survey on sentiment analysis methods, applications, and challenges,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis A survey on sentiment analysis methods, applications, and challenges,
Reference 7
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ffa23f0-9255-4884-ac1f-e20c9d17079a · outbound
This paper cites A complete process of text classification system using state‐of‐the‐art NLP models.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis A complete process of text classification system using state‐of‐the‐art NLP models
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7bf00176-e150-4f8c-8a5a-e052792c83ce · outbound
This paper cites Topic Modeling for Small Data using Generative LLMs.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Topic Modeling for Small Data using Generative LLMs
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2f201c8c-f826-4f3f-a992-f2a5afe63dab · outbound
This paper cites An empirical survey of data augmentation for limited data learning in NLP,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis An empirical survey of data augmentation for limited data learning in NLP,
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4b70ffac-6a89-4b12-85cd-43683124c16a · outbound
This paper cites Building the Bridge: Topic Modeling for Comparative Research,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Building the Bridge: Topic Modeling for Comparative Research,
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58df5a73-9e4a-4b19-9003-54b5067935ac · outbound
This paper cites Latent dirichlet allocation,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Latent dirichlet allocation,
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c8ed2da4-2584-4ff9-9522-057c349c5de9 · outbound
This paper cites Topic modeling for the social sciences,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Topic modeling for the social sciences,
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b78db2d6-54c0-4aaf-b9c5-45afa382e57b · outbound
This paper cites FastText.zip: Compressing text classification models.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis FastText.zip: Compressing text classification models
Reference 14
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8252fe15-5140-4f27-8581-a6670bb11252 · outbound
This paper cites Glove: Global vectors for word representation,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Glove: Global vectors for word representation,
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 088ca9e4-5222-4f57-966c-25c3488a7d90 · outbound
This paper cites Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages,
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5c445b69-a5ff-472c-ad3e-0527e5df4ad1 · outbound
This paper cites Data expansion using back translation and paraphrasing for hate speech detection,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Data expansion using back translation and paraphrasing for hate speech detection,
Reference 17
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7ec3effb-2a4d-493b-9ab5-d78adffcce4d · outbound
This paper cites EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46ad9e76-77b0-4645-a7c6-f965071b8d0b · outbound
This paper cites ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness,
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55d66b7b-8e08-46ea-89fc-28e8394a6b02 · outbound
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Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Semantic Drift in Multilingual Representations,
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3599e7c1-2232-46d5-8c5e-f72da139b266 · outbound
This paper cites GPT-4o mini: advancing cost -efficient intelligence.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis GPT-4o mini: advancing cost -efficient intelligence
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 22aa39a8-2d24-47a2-a32f-98309f386c6f · outbound
This paper cites Claude 3.5 Sonnet.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Claude 3.5 Sonnet
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation df47457d-58e2-4940-b307-e39be03e336e · outbound
This paper cites Identifying Citizen-Related Issues from Social Media Using LLM -Based Data Augmentation,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Identifying Citizen-Related Issues from Social Media Using LLM -Based Data Augmentation,
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7f2ef618-90d0-492c-b61d-9a25b4b8b58b · outbound
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Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Exploring ChatGPT- Based Augmentation Strategies for Contrastive Aspect- Based Sentiment Analysis,
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 010ebd2f-edfa-4245-b088-fe5b80ee6ac2 · outbound
This paper cites Evaluating large language models for health -related text classification tasks with public social media data,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Evaluating large language models for health -related text classification tasks with public social media data,
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 144d0ea5-9add-4f42-93e5-f51afd9745ba · outbound
This paper cites ChatGPT Label: Comparing the Quality of Human-Generated and LLM -Generated Annotations in Low -Resource Language NLP Tasks,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis ChatGPT Label: Comparing the Quality of Human-Generated and LLM -Generated Annotations in Low -Resource Language NLP Tasks,
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2e561aa-47c9-4c10-8631-33ab108e6307 · outbound
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Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Leveraging Large Language Models for Code -Mixed Data Augmentation in Sentiment Analysis,
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da150587-6bac-4528-8c46-63e7147b0145 · outbound
This paper cites an unresolved cited work.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Unresolved cited work
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2ccc0a5d-178b-4881-ba6e-36395bdacc3e · outbound
This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4f7253a-9c32-4096-9f6a-e761323ed0c6 · outbound
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Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Auggpt: Leveraging chatgpt for text data augmentation
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 076175c7-0c3f-4d4a-96fd-1c6853bdae45 · outbound
This paper cites LLM-powered Data Augmentation for Enhanced Cross-lingual Performance.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis LLM-powered Data Augmentation for Enhanced Cross-lingual Performance
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7757ed1-b1e8-4b07-af58-9baf6f08c7c0 · outbound
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Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Bleu: a method for automatic evaluation of machine translation,
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 87d7fdc4-b423-41dd-9ba8-e33f61ba7d17 · outbound
This paper cites Rouge: A package for automatic evaluation of summaries,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Rouge: A package for automatic evaluation of summaries,
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e2f41cdf-65c5-4222-af76-629810f80911 · outbound
This paper cites Synthetic and Natural Noise Both Break Neural Machine Translation.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Synthetic and Natural Noise Both Break Neural Machine Translation
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2557f974-8337-4a23-b7e0-12c99ff7e9cd · outbound
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Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Statistical Uncertainty in Word Embeddings: GloVe- V,
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffd5bd72-2ac2-46cc-aaf2-0a7683f567a0 · outbound
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Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis SummIt: Iterative Text Summarization via ChatGPT
Reference 37
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f98a0ab-29a6-4f0e-8347-a7be6bfb2dd5 · outbound
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Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Prompt chaining or stepwise prompt? refinement in text summarization,
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d88a17f0-eee4-49ad-acc6-aad0409e10be · outbound
This paper cites Text data augmentation for deep learning,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Text data augmentation for deep learning,
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d0c2d682-1940-4e89-a86b-466370836cb0 · outbound
This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Bert: Pre-training of deep bidirectional transformers for language understanding,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:29.967632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f82e5c7c-d475-4dae-8f92-26bc7bad0804 · outbound
This paper cites WordNet: a lexical database for English,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis WordNet: a lexical database for English,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:30.396350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation aade6d69-5d88-408d-a894-7f703970bd68 · outbound
This paper cites Efficient Estimation of Word Representations in Vector Space.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Efficient Estimation of Word Representations in Vector Space
Reference 42
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db327b2c-cb25-49c8-adb7-0f770913a48e · outbound
This paper cites From word to sense embeddings: A survey on vector representations of meaning,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis From word to sense embeddings: A survey on vector representations of meaning,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:30.189788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2050ac50-cc1a-448a-a969-52d0b8931f8d · outbound
This paper cites Generating Natural Language Adversarial Examples.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Generating Natural Language Adversarial Examples
Reference 44
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 235ea5ac-fdfc-4adf-8c26-73358e500085 · outbound
This paper cites Training language models to follow instructions with human feedback.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Training language models to follow instructions with human feedback
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:29.349566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e50dcecf-3e74-48ec-b456-141b2db97fbb · outbound
This paper cites Improving Neural Machine Translation Models with Monolingual Data.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Improving Neural Machine Translation Models with Monolingual Data
Reference 46
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af3640aa-2689-46a6-bf68-4fd95bf1d748 · outbound
This paper cites Improving language understanding by generative pre-training,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Improving language understanding by generative pre-training,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:29.752405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f17ce832-6b64-4cb8-a38a-b2e296536ba0 · outbound
This paper cites Exploring the limits of transfer learning with a unified text- to-text transformer.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Exploring the limits of transfer learning with a unified text- to-text transformer
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:29.525938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9fe9188e-9b4e-408c-b219-fb6edac63a35 · outbound
This paper cites Paraphrase the following text:.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Paraphrase the following text:
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:34.094952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5a13a3a5-71f9-46f6-86bc-4acf18f5c5ed · outbound
This paper cites Promptagator: Few-shot Dense Retrieval From 8 Examples.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Promptagator: Few-shot Dense Retrieval From 8 Examples
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:58:23.526840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6910168-bf92-4339-8f68-1c26e06788c3 · outbound
This paper cites Data augmentation using llms: Data perspectives, learning paradigms and challenges.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Data augmentation using llms: Data perspectives, learning paradigms and challenges
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:29.159573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation aeee30b2-b896-4982-a987-f79117541545 · outbound
This paper cites Optimizing semantic coherence in topic models,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Optimizing semantic coherence in topic models,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:28.982467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b6b94f72-776b-4fb3-b4a7-5ecaebbda0f4 · outbound
This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis BERTopic: Neural topic modeling with a class-based TF-IDF procedure
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:58:23.901467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8c21c48-2074-43a1-84d6-3a59f2c872c6 · outbound
This paper cites Full- text or abstract? examining topic coherence scores using latent dirichlet allocation,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Full- text or abstract? examining topic coherence scores using latent dirichlet allocation,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:28.803391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d16087ec-d66f-4d1f-83bf-7f82dbb1d6df · outbound
This paper cites A joint model of conversational discourse and latent topics on microblogs,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis A joint model of conversational discourse and latent topics on microblogs,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:28.623193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 432d5f91-8869-4875-ad4c-6daafbf932a3 · outbound
This paper cites Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:58:24.324238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b7ea47e-050c-42ad-ab9d-1d7d32a7939c · outbound
This paper cites Minilm: Deep self-attention distillation for task -agnostic compression of pre -trained transformers,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Minilm: Deep self-attention distillation for task -agnostic compression of pre -trained transformers,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:28.442059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fd599765-a224-4385-896e-2824263486a6 · outbound
This paper cites Claude 3.5 Sonnet vs GPT-4o,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Claude 3.5 Sonnet vs GPT-4o,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:28.212448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b301b9aa-f57c-4ada-a590-ba9c40dedc26 · outbound
This paper cites GPT-4o Mini vs. Claude 3.5 Sonnet: A Detailed Comparison for Developers,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis GPT-4o Mini vs. Claude 3.5 Sonnet: A Detailed Comparison for Developers,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:28.030209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9e95c660-50e5-48b0-b6f4-f0ffa8a3b17b · outbound
This paper cites Claude 3.5 Sonnet vs. GPT -4o and GPT -4o mini — key differences,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Claude 3.5 Sonnet vs. GPT -4o and GPT -4o mini — key differences,
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:27.847046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 11d5061c-d163-42de-bf9b-e8025dc0bdf3 · outbound
This paper cites Cosine similarity and its applications in the domains of artificial intelligence,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Cosine similarity and its applications in the domains of artificial intelligence,
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:27.659993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 82f3154a-cea6-4f58-93db-d69c363d8cb8 · outbound
This paper cites A comprehensive survey of text classification techniques and their research applications: Observational and experimental insights,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis A comprehensive survey of text classification techniques and their research applications: Observational and experimental insights,
Reference 62
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-06T16:58:26.193176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation eec97009-5d9d-426a-95ca-ad8fd8c3c554 · outbound
This paper cites Scaling up all pairs similarity search,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Scaling up all pairs similarity search,
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:27.481964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 224a9d62-2032-4520-adb1-f9b29dc1ab29 · outbound
This paper cites Probabilistic topic models,.
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis Probabilistic topic models,
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:58:27.306466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.