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Paper Citation Record · LEDGER

Text embedding models can be great data engineers

As of 12 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.

pith.paper-citation-record.v1
2505.14802 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

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measured 52 of 52 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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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External citation measurements

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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

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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

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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

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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

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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

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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

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This paper cites Information transmission with additional noise.

Text embedding models can be great data engineers Information transmission with additional noise

Reference 7

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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

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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

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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

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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

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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

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This paper cites Distributional structure.

Text embedding models can be great data engineers Distributional structure

Reference 13

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Observation e015a6d3-fc5d-4755-9d79-cea5b93c70c9 · outbound

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Text embedding models can be great data engineers beta-vae: Learning basic visual concepts with a constrained variational framework

Reference 14

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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

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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

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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

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This paper cites HRI Dataset.

Text embedding models can be great data engineers HRI Dataset

Reference 18

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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

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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

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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

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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

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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

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Observation 2a8b3490-f2cf-4f08-8b97-ae7adef50d86 · outbound

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Text embedding models can be great data engineers H2o automl: Scalable automatic machine learning

Reference 24

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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

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Observation 9dd3406b-5ef4-463a-90fc-31e6daa6b1fa · outbound

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Text embedding models can be great data engineers Feature selection: A data perspective

Reference 26

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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

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Text embedding models can be great data engineers Cubic spline interpolation

Reference 28

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Observation 234353db-c57a-4f8d-b060-2880cddd3775 · outbound

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Text embedding models can be great data engineers Howto100m: Learning a text-video embedding by watching hundred million narrated video clips

Reference 29

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Text embedding models can be great data engineers Enhanced bitcoin price direction forecasting with dqn

Reference 30

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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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

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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

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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

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Source-reported events for the cited work

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Observation 57a58a61-9cc0-452b-9e71-8f433005e410 · outbound

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Text embedding models can be great data engineers text-embedding-3-small

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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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
raw_fallback, observed 2026-08-07T15:32:31.607659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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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 2026-08-12T06:34:41.77262+00:00.

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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 2026-08-12T06:34:41.77262+00:00.

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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
raw_fallback, observed 2026-08-07T15:32:30.939335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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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 2026-08-12T06:34:41.77262+00:00.

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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 2026-08-12T06:34:41.77262+00:00.

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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 2026-08-12T06:34:41.77262+00:00.

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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 2026-08-12T06:34:41.77262+00:00.

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:32:27.818031Z digest=sha256:d048046b7f0af0184b4da4be770e660930a90d47c6cc72e928aaeab42a565c8b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:32:27.857161Z digest=sha256:ba826c0d0049da3cc6f8d67749aa4a4e98496530677c862f5b264a2ba13198f5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:32:27.931923Z digest=sha256:02782eccc62f7af6d9bac1c94171c84539bc43f5921c91f51f623ba820291f47

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
unresolved
raw_fallback, observed 2026-08-07T15:32:29.614622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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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
unresolved
raw_fallback, observed 2026-08-07T15:32:29.261692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:32:28.059564Z digest=sha256:0865a1d77638568ee4dba5f6c09d25f3549c1fbc2e7681d0962373a05e2ccc74

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 2026-08-12T06:34:41.77262+00:00.

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Pith citing papers

No inbound Pith citation observations are available.