Pith. sign in

Paper Citation Record · LEDGER

Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets

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.

pith.paper-citation-record.v1
2510.18908 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:57:47.755656Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba7acd45-cd67-4ade-83ce-f2670df9408c · outbound

This paper cites Public sphere in crisis mode: How the COVID-19 pandemic influenced public discourse and user behaviour in the Swiss Twitter-sphere,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:42.832602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:42.832602Z digest=sha256:6148740abed12b82c66bdeec820566218616869d0e12902778195df8819c50ac

Observation b6128891-a0ef-40b9-b672-0427d1df2c1f · outbound

This paper cites Top concerns of tweeters during the COVID-19 pandemic: Infoveillance study,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:42.942907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:42.942907Z digest=sha256:67380c818a673ce8cb93738e17885b8bbf3e2c6c1649e7d8e752176f669846d2

Observation da5dedc9-a467-487a-af5e-9640ea93a06f · outbound

This paper cites COVID- Senti: A large-scale benchmark Twitter data set for COVID-19 sentiment analysis,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:43.039435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:43.039435Z digest=sha256:4e10851ad4487bd14dc57fff801e44d8af2f76d9ed4422540b53d71205eaf790

Observation 514eb982-e462-4e26-b7f0-a1dc9279f7f2 · outbound

This paper cites Understanding concerns, senti- ments, and disparities among population groups during the COVID-19 pandemic via Twitter data mining: large-scale cross-sectional study,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:43.122118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:43.122118Z digest=sha256:0b1d7813d28d564bc3f77826856ad14e745a95075712ca6f6264907963f053f9

Observation fb43bbb8-a496-4433-b6d4-646c5eec48cf · outbound

This paper cites Short-text semantic similarity (stss): Techniques, challenges and future perspectives,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:43.205051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:43.205051Z digest=sha256:c3273af4359029e9d4f83cd7a602be3909f2c2d2c61cb708aa111e5d9a1a05f8

Observation 2e345bfa-9793-4747-9b15-cca94aed834f · outbound

This paper cites A systematic review of the use of topic models for short text social media analysis,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:43.403134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:43.403134Z digest=sha256:6c171338b45719dc119f21e4e6f27fff152b9e95510dd5116e9b5079800d2f8e

Observation 1c1bb675-015a-4588-8bdd-0807ffa09cdf · outbound

This paper cites Large language models and their appli- cations in bioinformatics,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:43.525202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:43.525202Z digest=sha256:df7381449e3e8ec5f27fc04c66f2cc6567c4e44d1fb45bb600a32ab65452b1ba

Observation e093e2ed-4698-4a9c-bc56-54f21bfd6655 · outbound

This paper cites Large language models in medical and healthcare domain: A review,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:43.710700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:43.710700Z digest=sha256:5ce8d5d5fe7b63e23f560d3d97a5552da47cde75c610e1f9ef4cfdc6bfc4f87c

Observation e0815353-966d-41d0-acee-d24155821d2e · outbound

This paper cites Exploring the expertise of large language models in materials science and metallurgical engineer- ing,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:43.838553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:43.838553Z digest=sha256:606cfae5398f3f5efd237a3af48da4d8099599616d0b6c487a444502f317bbc6

Observation 824feac5-8824-41bc-9ce7-6584d481f8cb · outbound

This paper cites Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:43.925440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:43.925440Z digest=sha256:f2de0753af1d43dcb98e18bab667df4bef61ba3ac5c7889522f50f1653b9fa10

Observation 660a87e1-6da9-421a-b8ba-39516f819d3d · outbound

This paper cites Latent Dirichlet allocation,.

Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Latent Dirichlet allocation,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:44.107000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:44.107000Z digest=sha256:f8a4998bc2a40393527e49a25a002f3d1902522891e4d86e910e23b31ebad884

Observation e8d510e6-ad03-44cd-a407-8296ad83344d · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:44.319190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:44.319190Z digest=sha256:bb5805a0d60da16b51b07c23a509df46ccce08cec6c12e2e4327a607f2b1a209

Observation b7067093-fd1a-448d-a350-6665dfac7416 · outbound

This paper cites Fastopic: Pretrained transformer is a fast, adaptive, stable, and transferable topic model,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:44.488731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:44.488731Z digest=sha256:c0979ed4af0f8a8e30c5168e73912ffb31a77ca673b35ad7c791f8759b8898f5

Observation fc9ac9d2-2277-4780-887c-dc3ab6a57c0c · outbound

This paper cites Empirical study of topic modeling in Twitter,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:44.727342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:44.727342Z digest=sha256:c34312329c389385b6466a4be15b090d2db3715280adfabb9340e9f9317e557a

Observation a18cd423-842d-4e66-b1fd-38aa665f493e · outbound

This paper cites Author-topic model for analyzing authors and their publications on large text collections,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:44.909958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:44.909958Z digest=sha256:af14610a94bf09682c90cf6f60dc53f781378b3b8b71d5f38c31c75dd974bbc3

Observation 71f46a5f-392d-423e-a4c3-7d083dec7497 · outbound

This paper cites Rajagopal, B.

Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Rajagopal, B

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:45.096380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:45.096380Z digest=sha256:c92f629bbe7182c5c646c97d866cd648c36b1de326a39c72d7e99fc1baffcd65

Observation fb6fc9a7-9af4-4ead-b9f0-b49f7837f9f7 · outbound

This paper cites Top2Vec: Distributed Representations of Topics.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:45.244288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:45.244288Z digest=sha256:737e29215b2a5691a0936d17e5106d5b8d26cbd77b1463c7eb79277d6a5df39c

Observation fb127a19-3252-41c7-b38f-11d616a18c04 · outbound

This paper cites Mitigating data sparsity for short text topic modeling by topic-semantic contrastive learning,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:45.380087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:45.380087Z digest=sha256:9a2d6f51839d3ef59e6018d48d2663dff0333dab6e83701644126900248258ce

Observation a13ebb27-b06c-4134-a928-cda41e4854c0 · outbound

This paper cites Automatic labelling of topic models,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:45.547745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:45.547745Z digest=sha256:c5dc58c9cce5e18b6871048b89e30d47b3847d17e6e3264f81b46b727a92e414

Observation 739a8b46-a1eb-46a0-b839-07ec84e5569f · outbound

This paper cites Topic modeling for short texts with large language models,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:45.722367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:45.722367Z digest=sha256:f54d3f3fe7a29046b9e48004fe34e18c9752ffc6850abaca9d897608e70756ed

Observation c6e5d7df-8a39-4729-b2ed-822c6438e62a · outbound

This paper cites Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:45.880306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:45.880306Z digest=sha256:2346901355038f3f36178ecdac8e42a0823a1f4a92a76523b15852c80ae2f428

Observation d5fc6290-7f73-4828-81d2-c3d88d3ebbfd · outbound

This paper cites Deliberate reasoning in language models as structure-aware planning with an accurate world model,.

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

Resolution
malformed identifier
no resolver link, observed 2026-08-04T08:57:46.051664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:46.051664Z digest=sha256:754c1dab5c26fa222d7d8b6856a60514fa8662d874c28ba596270f8a7c0de8e4

Observation b98d0449-7594-4cda-9299-9f3453668b9d · outbound

This paper cites Evaluating large language models for narrative topic labeling,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:46.243954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:46.243954Z digest=sha256:e0f5faafe9fc75c4cb9fd4dcb73e4f776b3c814661d790e420890fde2f4e1afc

Observation 8ad78718-ed9d-46f8-bafe-928d3effd3ff · outbound

This paper cites Information seeking and information sharing during the COVID-19 pandemic,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:46.364503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:46.364503Z digest=sha256:c2ecd992bb44851663c2d9328bc71a3f0bb0f9de687d81998a93df80dc29d365

Observation 6ffa9ba3-8781-4617-ad43-1bd235771751 · outbound

This paper cites Long COVID discourse in Canada, the United States, and Europe: Topic modeling and sentiment analysis of Twitter data,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:46.479762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:46.479762Z digest=sha256:cea3b66097144fcf91662564369e3a4d04543fa335dae1881ddf7e2b5c10819b

Observation 1e76b57a-0bd0-43ee-a932-39d80e13e7ca · outbound

This paper cites Dynamic associations between Cen- ters for Disease Control and Prevention social media contents and epidemic measures during COVID-19: Infoveillance study,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:46.666720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:46.666720Z digest=sha256:1e343b38907cd9afdb2c3fa9e1eaf0886ab50da263e7dc4d04365303843846eb

Observation a0374801-0978-4608-a388-c37f8ae78b17 · outbound

This paper cites Exploring communication by public health leaders and organizations during the pandemic: A content analysis of COVID-related tweets,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:46.852141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:46.852141Z digest=sha256:dbcf15f63984aaed54bc2e08b0cfb9cd37850ca82790cc3ae209c1f93b0d019c

Observation df08d7cf-97c3-4557-8d37-d6957c1176d3 · outbound

This paper cites Tracking social media discourse about COVID-19: Temporal, geographic, and thematic analysis,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:47.017136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:47.017136Z digest=sha256:98729472a90a8e5cca39f1183d63b3bc64398495ce0a9b07558857b8e8eee2bd

Observation 5b3e0029-3a43-40da-9bea-5ff3876effc6 · outbound

This paper cites Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:47.189236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:47.189236Z digest=sha256:b42bad7dc4204e8c24dec013539ab6abdb9e12fc88eee7526b5d5aa7d1ca4f08

Observation 7569dc4b-e4eb-4c55-ba27-943b236263aa · outbound

This paper cites Sentence-BERT: Sentence embeddings using Siamese BERT-networks,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:47.303484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:47.303484Z digest=sha256:ae9b7710c1ff5151f823fd6adafbcf1b9e944a668680f0a9e7342e9adc77b78e

Observation b6b674f1-ebdd-4f83-83b0-ebeca8d91b3f · outbound

This paper cites Exploring the space of topic coherence measures,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:47.419712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:47.419712Z digest=sha256:2b3d268cb59b9c9a2d193fa63e297d2945c4b0c12dd1b53e24b3f9d83383d1fe

Observation 64e68547-2176-4cfc-a96f-38acb0b0c71c · outbound

This paper cites Topic modeling with Wasserstein autoencoders,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:47.534264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:47.534264Z digest=sha256:d59f67b93162e61ea188def2d6cfa97fdb98ec03ce0bab504d098c9e32e8ece2

Observation e8292b7e-dc00-49e6-be94-8762547449cf · outbound

This paper cites Decoupling sparsity and smoothness in the Dirichlet variational autoencoder topic model,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:47.615950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:47.615950Z digest=sha256:45c062cd518b5023ea0fd7a54e9c0da6f1c49401d7b62cf0a8d7c2b6822cec4e

Observation f15334b5-05ea-4313-8c6e-5834e9a93137 · outbound

This paper cites Topic modeling in embedding spaces,.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:47.755656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:47.755656Z digest=sha256:cb9f3101c2a997c57b47318060cb660334814a2ce1bca897322a7241c5efdba3

Pith citing papers

No inbound Pith citation observations are available.