Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T08:57:47.755656Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2510.18908.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T08:57:47.755656Z
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
34 of 34 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ba7acd45-cd67-4ade-83ce-f2670df9408c · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Public sphere in crisis mode: How the COVID-19 pandemic influenced public discourse and user behaviour in the Swiss Twitter-sphere,
Reference 1
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Observation b6128891-a0ef-40b9-b672-0427d1df2c1f · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Top concerns of tweeters during the COVID-19 pandemic: Infoveillance study,
Reference 2
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Observation da5dedc9-a467-487a-af5e-9640ea93a06f · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets COVID- Senti: A large-scale benchmark Twitter data set for COVID-19 sentiment analysis,
Reference 3
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Observation 514eb982-e462-4e26-b7f0-a1dc9279f7f2 · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Understanding concerns, senti- ments, and disparities among population groups during the COVID-19 pandemic via Twitter data mining: large-scale cross-sectional study,
Reference 4
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Observation fb43bbb8-a496-4433-b6d4-646c5eec48cf · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Short-text semantic similarity (stss): Techniques, challenges and future perspectives,
Reference 5
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Observation 2e345bfa-9793-4747-9b15-cca94aed834f · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets A systematic review of the use of topic models for short text social media analysis,
Reference 6
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Observation 1c1bb675-015a-4588-8bdd-0807ffa09cdf · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Large language models and their appli- cations in bioinformatics,
Reference 7
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Observation e093e2ed-4698-4a9c-bc56-54f21bfd6655 · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Large language models in medical and healthcare domain: A review,
Reference 8
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Observation e0815353-966d-41d0-acee-d24155821d2e · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Exploring the expertise of large language models in materials science and metallurgical engineer- ing,
Reference 9
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Observation 824feac5-8824-41bc-9ce7-6584d481f8cb · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
Reference 10
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Observation 660a87e1-6da9-421a-b8ba-39516f819d3d · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Latent Dirichlet allocation,
Reference 11
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Observation e8d510e6-ad03-44cd-a407-8296ad83344d · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets BERTopic: Neural topic modeling with a class-based TF-IDF procedure
Reference 12
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Observation b7067093-fd1a-448d-a350-6665dfac7416 · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Fastopic: Pretrained transformer is a fast, adaptive, stable, and transferable topic model,
Reference 13
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Unavailable: canonical work link unavailable.
Observation fc9ac9d2-2277-4780-887c-dc3ab6a57c0c · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Empirical study of topic modeling in Twitter,
Reference 14
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Unavailable: canonical work link unavailable.
Observation a18cd423-842d-4e66-b1fd-38aa665f493e · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Author-topic model for analyzing authors and their publications on large text collections,
Reference 15
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Observation 71f46a5f-392d-423e-a4c3-7d083dec7497 · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Rajagopal, B
Reference 16
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Observation fb6fc9a7-9af4-4ead-b9f0-b49f7837f9f7 · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Top2Vec: Distributed Representations of Topics
Reference 17
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Unavailable: canonical work link unavailable.
Observation fb127a19-3252-41c7-b38f-11d616a18c04 · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Mitigating data sparsity for short text topic modeling by topic-semantic contrastive learning,
Reference 18
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Unavailable: canonical work link unavailable.
Observation a13ebb27-b06c-4134-a928-cda41e4854c0 · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Automatic labelling of topic models,
Reference 19
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Unavailable: canonical work link unavailable.
Observation 739a8b46-a1eb-46a0-b839-07ec84e5569f · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Topic modeling for short texts with large language models,
Reference 20
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Observation c6e5d7df-8a39-4729-b2ed-822c6438e62a · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims
Reference 21
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Observation d5fc6290-7f73-4828-81d2-c3d88d3ebbfd · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Deliberate reasoning in language models as structure-aware planning with an accurate world model,
Reference 22
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Observation b98d0449-7594-4cda-9299-9f3453668b9d · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Evaluating large language models for narrative topic labeling,
Reference 23
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Observation 8ad78718-ed9d-46f8-bafe-928d3effd3ff · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Information seeking and information sharing during the COVID-19 pandemic,
Reference 24
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Unavailable: canonical work link unavailable.
Observation 6ffa9ba3-8781-4617-ad43-1bd235771751 · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Long COVID discourse in Canada, the United States, and Europe: Topic modeling and sentiment analysis of Twitter data,
Reference 25
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Unavailable: canonical work link unavailable.
Observation 1e76b57a-0bd0-43ee-a932-39d80e13e7ca · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Dynamic associations between Cen- ters for Disease Control and Prevention social media contents and epidemic measures during COVID-19: Infoveillance study,
Reference 26
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Observation a0374801-0978-4608-a388-c37f8ae78b17 · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Exploring communication by public health leaders and organizations during the pandemic: A content analysis of COVID-related tweets,
Reference 27
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Observation df08d7cf-97c3-4557-8d37-d6957c1176d3 · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Tracking social media discourse about COVID-19: Temporal, geographic, and thematic analysis,
Reference 28
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Observation 5b3e0029-3a43-40da-9bea-5ff3876effc6 · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings
Reference 29
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Observation 7569dc4b-e4eb-4c55-ba27-943b236263aa · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Sentence-BERT: Sentence embeddings using Siamese BERT-networks,
Reference 30
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Observation b6b674f1-ebdd-4f83-83b0-ebeca8d91b3f · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Exploring the space of topic coherence measures,
Reference 31
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Observation 64e68547-2176-4cfc-a96f-38acb0b0c71c · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Topic modeling with Wasserstein autoencoders,
Reference 32
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Observation e8292b7e-dc00-49e6-be94-8762547449cf · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Decoupling sparsity and smoothness in the Dirichlet variational autoencoder topic model,
Reference 33
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Observation f15334b5-05ea-4313-8c6e-5834e9a93137 · outbound
Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Topic modeling in embedding spaces,
Reference 34
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No inbound Pith citation observations are available.