Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:28.149076Z
Paper Citation Record · LEDGER
Text embedding models can be great data engineers
As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2505.14802.
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 2026-08-15T06:32:42.880941+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
52 of 52 outbound references displayed
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- verified fuzzy41
- unresolved9
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation aacb4c7b-da0d-4ebc-ab65-9a302abd3f9f · outbound
This paper cites Information dropout: Learning optimal representations through noisy computation.
Text embedding models can be great data engineers Information dropout: Learning optimal representations through noisy computation
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0db71dfa-c6cf-43d4-8a04-d67870adee7f · outbound
This paper cites Deep Variational Information Bottleneck.
Text embedding models can be great data engineers Deep Variational Information Bottleneck
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82a662dd-42d9-4442-842a-43f15faa5bec · outbound
This paper cites A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges.Sensors, 23(9):4178, 2023.
Text embedding models can be great data engineers A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges.Sensors, 23(9):4178, 2023
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d46e92b6-649d-4188-a975-e4d878738106 · outbound
This paper cites TSFEL: Time series feature extraction library.
Text embedding models can be great data engineers TSFEL: Time series feature extraction library
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9c31e9f5-1b95-4219-8a0b-5e84d132c3f8 · outbound
This paper cites TSFEL: Time series feature extraction library.
Text embedding models can be great data engineers TSFEL: Time series feature extraction library
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7919b5eb-7e0b-4760-b50f-5b20f360e9d6 · outbound
This paper cites Financial time series forecasting-a deep learning approach.
Text embedding models can be great data engineers Financial time series forecasting-a deep learning approach
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 99796cb8-9e58-4af4-80c6-8cd38cc937e0 · outbound
This paper cites Information transmission with additional noise.
Text embedding models can be great data engineers Information transmission with additional noise
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 53513bc2-c581-4707-99be-fc8529756920 · outbound
This paper cites Systematic literature review of preprocessing techniques for imbalanced data.
Text embedding models can be great data engineers Systematic literature review of preprocessing techniques for imbalanced data
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 2026-08-15T06:32:42.880941+00:00.
Observation a1b96534-a468-470e-a70c-f8e465856b3d · outbound
This paper cites Springenberg, Manuel Blum, and Frank Hutter.
Text embedding models can be great data engineers Springenberg, Manuel Blum, and Frank Hutter
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 2026-08-15T06:32:42.880941+00:00.
Observation 0d5d15df-7f62-4bd4-b908-6200807d8b80 · outbound
This paper cites Transient classifiers for fink-benchmarks for lsst.
Text embedding models can be great data engineers Transient classifiers for fink-benchmarks for lsst
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 2026-08-15T06:32:42.880941+00:00.
Observation 35602a54-dd1a-44aa-97b6-8637ca670b5c · outbound
This paper cites The information bottleneck problem and its applications in machine learning.
Text embedding models can be great data engineers The information bottleneck problem and its applications in machine learning
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d3df4971-112a-4dbc-bef2-8bab118fd115 · outbound
This paper cites Audioclip: Extending clip to image, text and audio.
Text embedding models can be great data engineers Audioclip: Extending clip to image, text and audio
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:32:35.146788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 74567220-6d05-4def-934d-ff40b7ed6196 · outbound
This paper cites Distributional structure.
Text embedding models can be great data engineers Distributional structure
Reference 13
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e015a6d3-fc5d-4755-9d79-cea5b93c70c9 · outbound
This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework.
Text embedding models can be great data engineers beta-vae: Learning basic visual concepts with a constrained variational framework
Reference 14
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 537649ab-9193-40d6-bfdb-60211967b3e4 · outbound
This paper cites A survey of outlier detection methodologies.
Text embedding models can be great data engineers A survey of outlier detection methodologies
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 2026-08-15T06:32:42.880941+00:00.
Observation 32b4ba2e-bd3e-453e-85b4-dc4f03b88284 · outbound
This paper cites A framework for extracting urban functional regions based on multiprototype word embeddings using points-of- interest data.
Text embedding models can be great data engineers A framework for extracting urban functional regions based on multiprototype word embeddings using points-of- interest data
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 2026-08-15T06:32:42.880941+00:00.
Observation 55aea251-22de-4aa0-9b17-0f549ed178bc · outbound
This paper cites Multilevel temporal-spectral fusion network for multivariate time series classification.
Text embedding models can be great data engineers Multilevel temporal-spectral fusion network for multivariate time series classification
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fcaf7703-024d-4943-b2cb-e4c80251f9a3 · outbound
This paper cites HRI Dataset.
Text embedding models can be great data engineers HRI Dataset
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 74a333e3-b53f-4b99-bce4-83831901fd62 · outbound
This paper cites Large-scale representation learning from visually grounded untranscribed speech.
Text embedding models can be great data engineers Large-scale representation learning from visually grounded untranscribed speech
Reference 19
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b5a24275-a152-431c-aa3f-977250d189b2 · outbound
This paper cites Autokeras: An automl library for deep learning.
Text embedding models can be great data engineers Autokeras: An automl library for deep learning
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:32:34.218015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e4ba270b-4c23-4381-b4ef-e6a5948946d4 · outbound
This paper cites Dimensionality reduction for fast similarity search in large time series databases.
Text embedding models can be great data engineers Dimensionality reduction for fast similarity search in large time series databases
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:32:34.086845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4d727bee-f71e-4692-a108-2362698a90a1 · outbound
This paper cites Representation learning of clinical multivariate time series with random filter banks.
Text embedding models can be great data engineers Representation learning of clinical multivariate time series with random filter banks
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:32:33.898229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8ae5e05e-d9dd-4e95-8c1e-e63084497fc7 · outbound
This paper cites Time series classification of cryptocurrency price trend based on a recurrent lstm neural network.
Text embedding models can be great data engineers Time series classification of cryptocurrency price trend based on a recurrent lstm neural network
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 2026-08-15T06:32:42.880941+00:00.
Observation 2a8b3490-f2cf-4f08-8b97-ae7adef50d86 · outbound
This paper cites H2o automl: Scalable automatic machine learning.
Text embedding models can be great data engineers H2o automl: Scalable automatic machine learning
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 2026-08-15T06:32:42.880941+00:00.
Observation b7ef3520-7abb-420a-9e9e-082143188850 · outbound
This paper cites Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median.
Text embedding models can be great data engineers Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9dd3406b-5ef4-463a-90fc-31e6daa6b1fa · outbound
This paper cites Feature selection: A data perspective.
Text embedding models can be great data engineers Feature selection: A data perspective
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 69faa19b-20cf-414d-8ec1-f4c7654ec2a4 · outbound
This paper cites Missing value imputation: a review and analysis of the literature (2006–2017).
Text embedding models can be great data engineers Missing value imputation: a review and analysis of the literature (2006–2017)
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 274199f1-7afd-4ab2-9f2e-312f1dca847c · outbound
This paper cites Cubic spline interpolation.
Text embedding models can be great data engineers Cubic spline interpolation
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation 234353db-c57a-4f8d-b060-2880cddd3775 · outbound
This paper cites Howto100m: Learning a text-video embedding by watching hundred million narrated video clips.
Text embedding models can be great data engineers Howto100m: Learning a text-video embedding by watching hundred million narrated video clips
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f17e056f-7a01-49fd-8841-216ca5d12eab · outbound
This paper cites Enhanced bitcoin price direction forecasting with dqn.
Text embedding models can be great data engineers Enhanced bitcoin price direction forecasting with dqn
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 91a10310-20c0-4c35-93dc-fc494478a284 · outbound
This paper cites Unsupervised embedding of trajectories captures the latent structure of scientific migration.
Text embedding models can be great data engineers Unsupervised embedding of trajectories captures the latent structure of scientific migration
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 79a2bb15-2987-46df-8ccd-bae7ff6abbb5 · outbound
This paper cites Delineating urban functional use from points of interest data with neural network embedding: A case study in greater london.
Text embedding models can be great data engineers Delineating urban functional use from points of interest data with neural network embedding: A case study in greater london
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation f3c80c0b-993d-4fef-bdbd-c17149a3508e · outbound
This paper cites AMPEL workflows for LSST: Modular and reproducible real-time photometric classification.
Text embedding models can be great data engineers AMPEL workflows for LSST: Modular and reproducible real-time photometric classification
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation 9a6514c0-98bc-4723-a6f5-8d050042e49e · outbound
This paper cites Nomic Embed: Training a Reproducible Long Context Text Embedder.
Text embedding models can be great data engineers Nomic Embed: Training a Reproducible Long Context Text Embedder
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58cd422e-7336-411a-b495-99db0578e862 · outbound
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Text embedding models can be great data engineers Olson, Nathan Bartley, Ryan J
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 57a58a61-9cc0-452b-9e71-8f433005e410 · outbound
This paper cites text-embedding-3-small.
Text embedding models can be great data engineers text-embedding-3-small
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 14063025-a6b5-4085-8cb5-cd15a329cc9c · outbound
This paper cites Tsem: Temporally-weighted spatiotemporal explainable neural network for multivariate time series.
Text embedding models can be great data engineers Tsem: Temporally-weighted spatiotemporal explainable neural network for multivariate time series
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5130f959-d010-4531-b5c2-06bfa5a7eea7 · outbound
This paper cites Convolutional neural net- work fault classification based on time-series analysis for benchmark wind turbine machine.
Text embedding models can be great data engineers Convolutional neural net- work fault classification based on time-series analysis for benchmark wind turbine machine
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 2026-08-15T06:32:42.880941+00:00.
Observation e7767995-9404-492c-97e4-ed32ab3fb562 · outbound
This paper cites Modelling data pipelines.
Text embedding models can be great data engineers Modelling data pipelines
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 2026-08-15T06:32:42.880941+00:00.
Observation eac3e038-1e51-469b-a062-9793f709cf5a · outbound
This paper cites Time-series cryptocurrency forecasting using ensemble deep learning.
Text embedding models can be great data engineers Time-series cryptocurrency forecasting using ensemble deep learning
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 26e8ab9b-723e-40e8-93fd-12214060f545 · outbound
This paper cites Word embeddings for the analysis of ideological placement in parliamentary corpora.
Text embedding models can be great data engineers Word embeddings for the analysis of ideological placement in parliamentary corpora
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 636bf2ca-0d3d-4da7-8323-ff72aa8064f6 · outbound
This paper cites Predicting high-level human judgment across diverse behavioral domains.
Text embedding models can be great data engineers Predicting high-level human judgment across diverse behavioral domains
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:32:30.731072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3a869dbe-e1fb-47f6-838e-da9d499c0fa4 · outbound
This paper cites Gaussian processes for time-series modelling.
Text embedding models can be great data engineers Gaussian processes for time-series modelling
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:32:30.530030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2d8fa0ee-c750-47b3-8d9e-108080e269e3 · outbound
This paper cites Automl: A systematic review on automated machine learning with neural architecture search.
Text embedding models can be great data engineers Automl: A systematic review on automated machine learning with neural architecture search
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:32:30.354364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d61ff29d-b2a8-42cb-984c-03e04ee80249 · outbound
This paper cites Oracle: A real-time, hierarchical, deep-learning photometric classifier for the lsst.
Text embedding models can be great data engineers Oracle: A real-time, hierarchical, deep-learning photometric classifier for the lsst
Reference 45
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T15:32:28.392498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f8a37a06-51db-4f6a-a6cf-abd039445ee5 · outbound
This paper cites Videobert: A joint model for video and language representation learning.
Text embedding models can be great data engineers Videobert: A joint model for video and language representation learning
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:32:30.177369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 43c3f354-6c5d-4559-b82b-29e0e2122e1d · outbound
This paper cites Survey: Time-series data preprocessing: A survey and an empirical analysis.
Text embedding models can be great data engineers Survey: Time-series data preprocessing: A survey and an empirical analysis
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:32:30.063099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 70f829bb-3685-4cc0-9a07-16db26455803 · outbound
This paper cites up”) or decrease (“down.
Text embedding models can be great data engineers up”) or decrease (“down
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:32:29.956990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 131fc23c-644f-4ddd-8fa9-9aab34c140f5 · outbound
This paper cites an unresolved cited work.
Text embedding models can be great data engineers Unresolved cited work
Reference 49
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e8adf54c-4ab2-4f36-b868-aa586f9d2076 · outbound
This paper cites an unresolved cited work.
Text embedding models can be great data engineers Unresolved cited work
Reference 50
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 66ad6b61-c460-4154-9c06-c49657b3639d · outbound
This paper cites negativity.
Text embedding models can be great data engineers negativity
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:32:29.001501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 98b2f3bd-e6f6-4819-ab83-55862510bc57 · outbound
This paper cites Table 5: Per-class performance on the HRI dataset.
Text embedding models can be great data engineers Table 5: Per-class performance on the HRI dataset
Reference 7009
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:32:28.792953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.