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Paper Citation Record · LEDGER

Towards Next Generation Data Engineering Pipelines

As of 9 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2507.13892.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.13892 v2

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:18:56.509967Z

measured 82 of 82 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

82 of 82 outbound references displayed

  • verified exact24
  • verified fuzzy13
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40c34b85-378e-48a1-8bad-d04fcb325c01 · outbound

This paper cites Four Generations in Data Engineering for Data Science.

Towards Next Generation Data Engineering Pipelines Four Generations in Data Engineering for Data Science

Reference 1

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doi, observed 2026-08-06T16:19:03.512947Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 94a77ea5-d14d-4680-824a-b6af53a10d4c · outbound

This paper cites The Challenges of Data Quality and Data Quality Assessment in the Big Data Era.

Towards Next Generation Data Engineering Pipelines The Challenges of Data Quality and Data Quality Assessment in the Big Data Era

Reference 2

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Observation 0756e37d-8d62-40a0-8369-dee0f354f00b · outbound

This paper cites GouDa - generation of universal data sets: improving analysis and evaluation of data preparation pipelines.

Towards Next Generation Data Engineering Pipelines GouDa - generation of universal data sets: improving analysis and evaluation of data preparation pipelines

Reference 3

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Source-reported events for the cited work

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Observation be4d4c17-5977-4445-915e-d37714b117ea · outbound

This paper cites Ilyas and Xu Chu.

Towards Next Generation Data Engineering Pipelines Ilyas and Xu Chu

Reference 4

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Observation 3864a190-32f4-4cae-a87a-5f0e1ae565d3 · outbound

This paper cites DERM: A reference model for data engineering.

Towards Next Generation Data Engineering Pipelines DERM: A reference model for data engineering

Reference 5

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Observation 5b8ace07-6085-4c52-bf0f-a0d79c3390ca · outbound

This paper cites A Survey of Big Data Pipeline Orchestration Tools from the Perspective of the DataCloud Project.

Towards Next Generation Data Engineering Pipelines A Survey of Big Data Pipeline Orchestration Tools from the Perspective of the DataCloud Project

Reference 6

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Observation cfe8edf3-12ac-4cdd-b125-85df3db5a476 · outbound

This paper cites Self-Awareness as a Prerequisite for Self-Adaptivity in Computing Systems.

Towards Next Generation Data Engineering Pipelines Self-Awareness as a Prerequisite for Self-Adaptivity in Computing Systems

Reference 7

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Observation ed754591-e80a-4aa4-ba26-197b39bc76a2 · outbound

This paper cites Data Processing Pipeline for Eye-Tracking Analysis.

Towards Next Generation Data Engineering Pipelines Data Processing Pipeline for Eye-Tracking Analysis

Reference 8

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source=arxiv_source observed=2026-08-06T16:18:42.645354Z digest=sha256:990aabf1b6d0c8628fe07d452ac8c618f2411bfbe9ebead6ebf31f647cc7aaad

Observation 18411631-4674-4216-94fd-20836d84c79a · outbound

This paper cites A unified representation and transformation of multi-model data using category theory.

Towards Next Generation Data Engineering Pipelines A unified representation and transformation of multi-model data using category theory

Reference 9

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Source-reported events for the cited work

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Observation 03427adb-de7d-4690-9928-e8d832e0ab27 · outbound

This paper cites Data Engineering for Data Science: Two Sides of the Same Coin.

Towards Next Generation Data Engineering Pipelines Data Engineering for Data Science: Two Sides of the Same Coin

Reference 10

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 35cbfb20-48f1-4cf2-a1d5-a70eb1286c15 · outbound

This paper cites The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large.

Towards Next Generation Data Engineering Pipelines The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large

Reference 11

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Observation 1133a35d-b3c8-4d56-876d-772f4b8247c7 · outbound

This paper cites What About the Data? A Mapping Study on Data Engineering for AI Systems.

Towards Next Generation Data Engineering Pipelines What About the Data? A Mapping Study on Data Engineering for AI Systems

Reference 12

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Observation 22544497-827b-4451-973d-86389909c620 · outbound

This paper cites NIST Big Data Interoperability Framework: Volume 1, Definitions.

Towards Next Generation Data Engineering Pipelines NIST Big Data Interoperability Framework: Volume 1, Definitions

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:43.105873Z digest=sha256:8cf0292f487a7ca98fa07835e7ad05810ac58cc2e4a949d2cd1d814f3b941de4

Observation 5cb83274-5eb8-4ccb-b7a7-67cb84b7eaf6 · outbound

This paper cites Challenging Big Data Engineering: Positioning of Current and Future Development.

Towards Next Generation Data Engineering Pipelines Challenging Big Data Engineering: Positioning of Current and Future Development

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:43.181397Z digest=sha256:f5f337c0d35afffd150c9d3baa5b6c0c9cad1e72d40da8dab653e12ead510519

Observation f8181db7-1c87-4bf4-ade5-b1612e73ccd8 · outbound

This paper cites Atkinson, Michelle Galea, Tan Fong Ang, Paul Martin, and Jano I.

Towards Next Generation Data Engineering Pipelines Atkinson, Michelle Galea, Tan Fong Ang, Paul Martin, and Jano I

Reference 15

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:43.321961Z digest=sha256:8b35e2daeafc9104c2591a4f3ba3ac72a5eaa8df372e8d757ca4c446e463708b

Observation 2284ebe6-6d11-42f9-8c80-0430df611a18 · outbound

This paper cites Mahadi Hassan, Micah J.

Towards Next Generation Data Engineering Pipelines Mahadi Hassan, Micah J

Reference 16

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Observation 03340358-19f9-4b9d-aa6c-fbd902eae405 · outbound

This paper cites Parameswaran.

Towards Next Generation Data Engineering Pipelines Parameswaran

Reference 17

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Observation 7eada81a-f551-4013-8b0e-9237d1cbb8d8 · outbound

This paper cites BoostClean: Automated Error Detection and Repair for Machine Learning.

Towards Next Generation Data Engineering Pipelines BoostClean: Automated Error Detection and Repair for Machine Learning

Reference 18

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Observation dc47e29c-8163-4f83-94c6-cdc3ea9b55fd · outbound

This paper cites Ilyas, and Christopher R \' e.

Towards Next Generation Data Engineering Pipelines Ilyas, and Christopher R \' e

Reference 19

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Observation 30579814-a446-4425-8d80-726231629518 · outbound

This paper cites Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning.

Towards Next Generation Data Engineering Pipelines Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning

Reference 20

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dbb3a155-d975-466f-8cdd-ef592cbb0c9b · outbound

This paper cites Ilyas, Mourad Ouzzani, Paolo Papotti, Nan Tang, and Yin Ye.

Towards Next Generation Data Engineering Pipelines Ilyas, Mourad Ouzzani, Paolo Papotti, Nan Tang, and Yin Ye

Reference 21

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Observation e010e491-a227-4679-be6e-4d6fafaed3f3 · outbound

This paper cites Data Preparation: A Survey of Commercial Tools.

Towards Next Generation Data Engineering Pipelines Data Preparation: A Survey of Commercial Tools

Reference 22

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Observation 9c392eb5-99bb-4c59-8074-255c977f6666 · outbound

This paper cites Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, and Nan Tang.

Towards Next Generation Data Engineering Pipelines Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, and Nan Tang

Reference 23

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source=arxiv_source observed=2026-08-06T16:18:44.367791Z digest=sha256:e57b046d3e71e2385bac969134670dd2fb8bffed45ddf39f5b29c3d7a9b85d91

Observation ab76c142-cba3-4f79-add8-72450a41f533 · outbound

This paper cites SAGA: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications.

Towards Next Generation Data Engineering Pipelines SAGA: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications

Reference 24

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Observation a6f41fb7-33f8-488d-b408-360c9512adf7 · outbound

This paper cites Lindstaedt, Arnab Phani, Benjamin Rath, Berthold Reinwald, Shafaq Siddiqui, and Sebastian Benjamin Wrede.

Towards Next Generation Data Engineering Pipelines Lindstaedt, Arnab Phani, Benjamin Rath, Berthold Reinwald, Shafaq Siddiqui, and Sebastian Benjamin Wrede

Reference 25

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 067fa20d-4423-4ef7-bc5f-f58ef4e9cec0 · outbound

This paper cites From Cleaning before ML to Cleaning for ML.

Towards Next Generation Data Engineering Pipelines From Cleaning before ML to Cleaning for ML

Reference 26

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ce0a72c7-5028-492a-91b2-fb02eedfdb1f · outbound

This paper cites Paritosh, and Lora Aroyo.

Towards Next Generation Data Engineering Pipelines Paritosh, and Lora Aroyo

Reference 27

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Observation af20534e-0d0c-466f-bf0a-71abb1bf04e2 · outbound

This paper cites Wang, Henry B.

Towards Next Generation Data Engineering Pipelines Wang, Henry B

Reference 28

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Observation ee335dc4-6420-4461-b28f-524d6137efeb · outbound

This paper cites Wang, Veda C.

Towards Next Generation Data Engineering Pipelines Wang, Veda C

Reference 29

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2cf102f1-7455-4173-a785-4a4da8951840 · outbound

This paper cites Blake and Paul Mangiameli.

Towards Next Generation Data Engineering Pipelines Blake and Paul Mangiameli

Reference 30

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8c2b710f-3c43-41bd-b7de-ff9297953421 · outbound

This paper cites Requirements for Data Quality Metrics.

Towards Next Generation Data Engineering Pipelines Requirements for Data Quality Metrics

Reference 31

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1c881a64-4387-492c-8771-78050bee9a7d · outbound

This paper cites Automating Large-Scale Data Quality Verification.

Towards Next Generation Data Engineering Pipelines Automating Large-Scale Data Quality Verification

Reference 32

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Observation c264d572-5459-4d5d-aebd-bc8ea426cd29 · outbound

This paper cites An Advanced Big Data Quality Framework Based on Weighted Metrics.

Towards Next Generation Data Engineering Pipelines An Advanced Big Data Quality Framework Based on Weighted Metrics

Reference 33

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:45.444627Z digest=sha256:2fda4020de86872aee67e26e6864f31f1be4ddcedae5f036af7d4207fecf56e8

Observation 276110cb-0a34-48e8-b365-d94ad012795e · outbound

This paper cites Ilyas, and Theodoros Rekatsinas.

Towards Next Generation Data Engineering Pipelines Ilyas, and Theodoros Rekatsinas

Reference 34

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Observation c1250404-282d-4db8-beaf-d2052589f7c1 · outbound

This paper cites Raha: A Configuration-Free Error Detection System.

Towards Next Generation Data Engineering Pipelines Raha: A Configuration-Free Error Detection System

Reference 35

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source=arxiv_source observed=2026-08-06T16:18:45.733770Z digest=sha256:25bf00aa0cb4788ff6d15b9dff160e45a221dd1558430a19ed98e1b3eba3ca42

Observation ed1b85c4-e91a-4df4-ba91-78d2f8c40ed1 · outbound

This paper cites Exploratory Training: When Annonators Learn About Data.

Towards Next Generation Data Engineering Pipelines Exploratory Training: When Annonators Learn About Data

Reference 36

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:45.839458Z digest=sha256:875c90bd8d3cd78599fe7f05e6fa2acc714027d74db4b724372314512f4c0492

Observation 68c935bb-21fc-4e92-a166-7089ba633af7 · outbound

This paper cites Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics.

Towards Next Generation Data Engineering Pipelines Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics

Reference 37

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doi, observed 2026-08-06T16:18:59.519113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:45.999251Z digest=sha256:2de3206e3707964befe347cb75cb90b1611216b1f0e968518301d7426a258044

Observation ebfbc258-4623-433f-b239-b96d8e04db31 · outbound

This paper cites o rl. FAIR is not enough - A Metrics Framework to ensure Data Quality through Data Preparation . In BTW , volume P-331 of LNI , pages 917--929. Gesellschaft f \.

Towards Next Generation Data Engineering Pipelines o rl. FAIR is not enough - A Metrics Framework to ensure Data Quality through Data Preparation . In BTW , volume P-331 of LNI , pages 917--929. Gesellschaft f \

Reference 38

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source=arxiv_source observed=2026-08-06T16:18:46.128170Z digest=sha256:6ced61034e274b04e8c4fe921150dec013275e40572b49e94069b231c32ec0bf

Observation ec7c24bb-e746-472b-9ed1-f1cd15e44842 · outbound

This paper cites a mper, Ralf Diestelk \.

Towards Next Generation Data Engineering Pipelines a mper, Ralf Diestelk \

Reference 39

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:46.253498Z digest=sha256:88d5135666b4943f01afcb96da126647f34bbcae2eb440338803cf85224a55d9

Observation 428eb458-3442-4c21-8bb9-2c47c38a6302 · outbound

This paper cites noWorkflow: Capturing and Analyzing Provenance of Scripts.

Towards Next Generation Data Engineering Pipelines noWorkflow: Capturing and Analyzing Provenance of Scripts

Reference 40

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:46.368926Z digest=sha256:2bfe56454e0db5e482280cdcb4d28a1c105d526da0abfab19976d0b702247fc4

Observation 36dd8162-afe2-4d83-9672-766d80b8b989 · outbound

This paper cites Capturing and querying fine-grained provenance of preprocessing pipelines in data science.

Towards Next Generation Data Engineering Pipelines Capturing and querying fine-grained provenance of preprocessing pipelines in data science

Reference 41

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:46.515199Z digest=sha256:3c4401ec0179e336dc2ec47da2c947cdc3f5fa1706bd2a821d2e46e7482941f0

Observation 368701ce-cc81-4492-a63c-22e5cd2310ca · outbound

This paper cites Data distribution debugging in machine learning pipelines.

Towards Next Generation Data Engineering Pipelines Data distribution debugging in machine learning pipelines

Reference 42

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source=arxiv_source observed=2026-08-06T16:18:46.660215Z digest=sha256:a10d71378141baa3295eaac83629f7ece612a117e566c004bd23d9dc5f434f0a

Observation cdfcaff6-c6d0-4f25-9108-5fda5092d033 · outbound

This paper cites Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline.

Towards Next Generation Data Engineering Pipelines Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline

Reference 43

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source=arxiv_source observed=2026-08-06T16:18:46.764359Z digest=sha256:019b4dce3798ae18e9d7104e2635380b1a47bc0df8e4ad03b56ed0150b379e5c

Observation 079e99aa-4eec-4b8f-b5d6-63e9fdd0b989 · outbound

This paper cites Towards Explaining the Effects of Data Preprocessing on Machine Learning.

Towards Next Generation Data Engineering Pipelines Towards Explaining the Effects of Data Preprocessing on Machine Learning

Reference 44

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source=arxiv_source observed=2026-08-06T16:18:46.899502Z digest=sha256:0bc608df0377bb1b573ffcd21fe86354021f76a67d24043d6232de420a834726

Observation 013d21c9-b9f5-41b2-a139-7dadde31483a · outbound

This paper cites Dead or Alive: Continuous Data Profiling for Interactive Data Science.

Towards Next Generation Data Engineering Pipelines Dead or Alive: Continuous Data Profiling for Interactive Data Science

Reference 45

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source=arxiv_source observed=2026-08-06T16:18:47.046949Z digest=sha256:0da3a9c4e6f4f4d917ed66298a94b39c2f37f68d924da3f59b99afda1a1372d8

Observation e4df4c95-783c-49fa-a5d6-dfd6913d886a · outbound

This paper cites Data Profiling.

Towards Next Generation Data Engineering Pipelines Data Profiling

Reference 46

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source=arxiv_source observed=2026-08-06T16:18:47.151185Z digest=sha256:f34d66ad0d3e8d6adc2ad03fc54a60a5111cf35ac110a42a6a956817ec4127a6

Observation 3436a317-46ec-4dcd-9f7e-9b2402f0c8fa · outbound

This paper cites Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines.

Towards Next Generation Data Engineering Pipelines Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines

Reference 48

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source=arxiv_source observed=2026-08-06T16:18:47.424147Z digest=sha256:c6c042b06696b5118ad67a70c0208d8cf39c2647f3b1ab54cb4ee4dac943b825

Observation 4e97e5b3-d4f6-401a-8497-85f15606a431 · outbound

This paper cites Parameswaran.

Towards Next Generation Data Engineering Pipelines Parameswaran

Reference 49

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source=arxiv_source observed=2026-08-06T16:18:47.546129Z digest=sha256:aa156590c3dba7ab5a3b05255e1cbf7f2f86d449725b0a52fe7a0784ad14cdf1

Observation ce2fca88-5788-4b9c-973b-142dc610ed1d · outbound

This paper cites A DaQL to Monitor Data Quality in Machine Learning Applications.

Towards Next Generation Data Engineering Pipelines A DaQL to Monitor Data Quality in Machine Learning Applications

Reference 50

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source=arxiv_source observed=2026-08-06T16:18:47.659269Z digest=sha256:21ed41868b478fceee52a150177ea26d6630b809c67c0458fc67de25a01ef518

Observation d88c3220-2028-491c-8d72-0c332fbad8fd · outbound

This paper cites DaQL 2.0: Measure Data Quality based on Entity Models.

Towards Next Generation Data Engineering Pipelines DaQL 2.0: Measure Data Quality based on Entity Models

Reference 51

Resolution
verified exact
doi, observed 2026-08-06T16:18:58.455980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:47.812609Z digest=sha256:fe6a8dd27ce8ce52c99a1c40735da1bea8ef2025e8e481d9349bfc04c38e821a

Observation 2f94c143-25fb-4fba-9b4a-93fb3e676313 · outbound

This paper cites Real-Time Monitoring of Data Pipelines: Exploring and Experimentally Proving that the Continuous Monitoring in Data Pipelines Reduces Cost and Elevates Quality.

Towards Next Generation Data Engineering Pipelines Real-Time Monitoring of Data Pipelines: Exploring and Experimentally Proving that the Continuous Monitoring in Data Pipelines Reduces Cost and Elevates Quality

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-06T16:19:12.618911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:47.931600Z digest=sha256:5cceb0c71ea23ce745e4681fe73ac37a60b4300fb0b244ac8f1771ea419f30e5

Observation 07e4821b-96d4-4c39-b7d8-f0d55af075d8 · outbound

This paper cites Schuler, Jitin Singla, Brinda Vallat, Kate L.

Towards Next Generation Data Engineering Pipelines Schuler, Jitin Singla, Brinda Vallat, Kate L

Reference 53

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source=arxiv_source observed=2026-08-06T16:18:48.097225Z digest=sha256:9962233da20e75df0d791ff33989d644ee6c8168307c8460efe5dacb5e112919

Observation c81970a9-042b-4869-933a-df366cb6bf88 · outbound

This paper cites An Empirical Study on the Design and Evolution of NoSQL Database Schemas.

Towards Next Generation Data Engineering Pipelines An Empirical Study on the Design and Evolution of NoSQL Database Schemas

Reference 54

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no resolver link, observed 2026-08-06T16:18:48.661781Z

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source=arxiv_source observed=2026-08-06T16:18:48.661781Z digest=sha256:7dbaaf473da78bcaec5af4486cce679d48b95a86dcd713f548be0fcafabb5f63

Observation a1914ddf-841d-4de2-9108-9bf488ec2918 · outbound

This paper cites Schema Evolution in Wikipedia - Toward a Web Information System Benchmark.

Towards Next Generation Data Engineering Pipelines Schema Evolution in Wikipedia - Toward a Web Information System Benchmark

Reference 55

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raw_fallback, observed 2026-08-06T16:19:12.200356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:50.676754Z digest=sha256:6f0368d8b4977e42a2402f4e129f9e48785f366d197eaeefac922371d869791c

Observation 4d12e214-8898-41c5-baff-4d94962b8bbb · outbound

This paper cites Self-healing and self-repairing technologies.

Towards Next Generation Data Engineering Pipelines Self-healing and self-repairing technologies

Reference 56

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raw_fallback, observed 2026-08-06T16:19:11.809922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:52.847609Z digest=sha256:ac79d660479875478c1672aba8cc1db03599a795703c5943b92d0fb76e80eda9

Observation da0be5f1-c65e-4229-ab64-18ebc8b7b24b · outbound

This paper cites DeBinelle: Semantic Patches for Coupled Database-Application Evolution.

Towards Next Generation Data Engineering Pipelines DeBinelle: Semantic Patches for Coupled Database-Application Evolution

Reference 57

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no resolver link, observed 2026-08-06T16:18:53.008184Z

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source=arxiv_source observed=2026-08-06T16:18:53.008184Z digest=sha256:ef419e7c184e76a78a7c97bdeeda0f11c45b36e5fb27582b09a8d0edf5fc1af1

Observation 428fe486-fac4-4bf2-9961-0b99e8951fac · outbound

This paper cites Schuler and Carl Kesselman.

Towards Next Generation Data Engineering Pipelines Schuler and Carl Kesselman

Reference 58

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source=arxiv_source observed=2026-08-06T16:18:53.188784Z digest=sha256:aef07e5751a19853cf72490d37c109e04e4ef0c47c57e225941723d499abcff3

Observation f9a8542b-6230-4250-8118-0efbd9f7f5e6 · outbound

This paper cites Understanding Uncertainty in Self-adaptive Systems.

Towards Next Generation Data Engineering Pipelines Understanding Uncertainty in Self-adaptive Systems

Reference 59

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source=arxiv_source observed=2026-08-06T16:18:53.307232Z digest=sha256:30e086b2485743df64550d9043613c35b2280b9d6dfd9add1fe0f363d801c10a

Observation 19f505fc-5681-42f2-a252-0a0fe1540be6 · outbound

This paper cites Uncertainty in Self-Adaptive Systems: A Research Community Perspective.

Towards Next Generation Data Engineering Pipelines Uncertainty in Self-Adaptive Systems: A Research Community Perspective

Reference 60

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local_arxiv, observed 2026-08-06T16:19:05.817326Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:53.394976Z digest=sha256:c2e43e630a97940f80203c062c30a1cb77c1a5a9c8638a443fba610d1d9fc203

Observation d501fa8c-e994-4810-bb39-d0822030c526 · outbound

This paper cites o rl, Daniel M \.

Towards Next Generation Data Engineering Pipelines o rl, Daniel M \

Reference 61

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metadata mismatch
raw_fallback, observed 2026-08-06T16:19:05.372021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:53.515461Z digest=sha256:898f4518b3abaf21dd48beaaf00adb7cb803c882ae6c1d9d41de6d47da4ee6c9

Observation bd54e1f3-ac28-414f-bec4-0f4089822d44 · outbound

This paper cites Reducing Ambiguity in Json Schema Discovery.

Towards Next Generation Data Engineering Pipelines Reducing Ambiguity in Json Schema Discovery

Reference 62

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no resolver link, observed 2026-08-06T16:18:53.618032Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T16:18:53.618032Z digest=sha256:424858e0576b7098ab614ea884e79297540475b03b15d48f7343bdd87044bf9f

Observation cc023766-9ba6-4736-9a96-97523abe85c6 · outbound

This paper cites Compound Schema Registry.

Towards Next Generation Data Engineering Pipelines Compound Schema Registry

Reference 63

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verified exact
local_arxiv, observed 2026-08-06T16:18:58.158162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:53.728233Z digest=sha256:9c999c992b8e1407cfe077cbb3329d5554231023894997d9689f2d061c7c6341

Observation 5f1b989c-ee61-48d2-8700-aad06d443bbc · outbound

This paper cites Control-Theoretical Software Adaptation: A Systematic Literature Review.

Towards Next Generation Data Engineering Pipelines Control-Theoretical Software Adaptation: A Systematic Literature Review

Reference 64

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metadata mismatch
raw_fallback, observed 2026-08-06T16:19:04.830517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:53.848631Z digest=sha256:af2aff0b7f7547709b324f23b097195285ac655f18e22c843a99a3ecd8c2916e

Observation 3c3c7c93-03a1-4970-aec4-37e1c74d5afc · outbound

This paper cites Agent-Driven Automatic Software Improvement.

Towards Next Generation Data Engineering Pipelines Agent-Driven Automatic Software Improvement

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:18:53.988696Z digest=sha256:f38733430d71f6b9cae2bff6fd656fee312c9d9eba3a3baa22b82eb78c0e0d76

Observation e8520fca-c0d0-4a57-a1de-d85f9eb9c93f · outbound

This paper cites Fuzzy Self-Adaptation of Mission-Critical Software Under Uncertainty.

Towards Next Generation Data Engineering Pipelines Fuzzy Self-Adaptation of Mission-Critical Software Under Uncertainty

Reference 66

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doi, observed 2026-08-06T16:18:57.904811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:54.119601Z digest=sha256:acccb625f217b79428536aba42b8f1a60ae46ce96b54a2e9f5730699024b4c9d

Observation c91df8ca-20af-444e-affa-bedb5c32f194 · outbound

This paper cites Towards Evolution Capabilities in Data Pipelines.

Towards Next Generation Data Engineering Pipelines Towards Evolution Capabilities in Data Pipelines

Reference 67

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raw_fallback, observed 2026-08-06T16:19:11.363646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:54.233017Z digest=sha256:c6cb9c7ff51e1027de755c8b3890b10b8dfc9b5025710b6d2292a985a189d84d

Observation b344b8bf-e27e-4ee2-b61f-720684b7cf4a · outbound

This paper cites Franklin, and Eugene Wu.

Towards Next Generation Data Engineering Pipelines Franklin, and Eugene Wu

Reference 68

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metadata mismatch
raw_fallback, observed 2026-08-06T16:19:04.319031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:54.357710Z digest=sha256:1cef31bb4f21a01084ac437057aaef5f4d0760afbec62ae9ff4427367329df39

Observation 50879f76-1b1d-42c5-a417-e1546ed087d2 · outbound

This paper cites What can Data-Centric AI Learn from Data and ML Engineering?.

Towards Next Generation Data Engineering Pipelines What can Data-Centric AI Learn from Data and ML Engineering?

Reference 69

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unresolved
no resolver link, observed 2026-08-06T16:18:54.488535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:18:54.488535Z digest=sha256:99ec53813a471c53269ae81dd98e4d9f67ef706ea6d53197485b865243c9ae51

Observation a1b91f72-aa9d-432f-87f9-0d660be4d2a9 · outbound

This paper cites Johnson, Gyorgy Simon, and Constantin Aliferis.

Towards Next Generation Data Engineering Pipelines Johnson, Gyorgy Simon, and Constantin Aliferis

Reference 70

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doi, observed 2026-08-06T16:18:57.638807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:54.611345Z digest=sha256:20df388690f39e7c6fbf366946e03ba8f4b90bcc5fe2db88d726fa6f8d84c9dc

Observation 9cc6aeb6-19c9-4e29-b701-4dad951ee39b · outbound

This paper cites Towards an End-to-End Data Quality Optimizer.

Towards Next Generation Data Engineering Pipelines Towards an End-to-End Data Quality Optimizer

Reference 71

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no resolver link, observed 2026-08-06T16:18:54.737601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:18:54.737601Z digest=sha256:ef6673c108cbbc0170bb545ce852f96d1d4a927e06e87926226d1b7091733ff4

Observation 2ee479b9-5cd2-476b-ba0d-d295106e6bab · outbound

This paper cites Empirical comparison of supervised learning techniques for missing value imputation.

Towards Next Generation Data Engineering Pipelines Empirical comparison of supervised learning techniques for missing value imputation

Reference 72

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doi, observed 2026-08-06T16:18:57.388212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:54.844195Z digest=sha256:6f708f5f0931fd7354b489d8c00f8940d822e662cdb54b0420a260d896bafc9c

Observation 731f060b-0590-4b7f-aafc-8e9ec9c40b4f · outbound

This paper cites Kamrul Hasan, Md.

Towards Next Generation Data Engineering Pipelines Kamrul Hasan, Md

Reference 73

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raw_fallback, observed 2026-08-06T16:19:11.042201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:54.950468Z digest=sha256:5aa0d1cab1c47bde8731d924d75e412e8654b9d0f0604b19f7e3780e155007b1

Observation b9c52985-0620-405f-ae9e-a10a504d9556 · outbound

This paper cites o rl. ALPINE: Abstract Language for Pipeline Integration and Execution . In BTW Workshops , volume P-363 of LNI , pages 207--217. Gesellschaft f \.

Towards Next Generation Data Engineering Pipelines o rl. ALPINE: Abstract Language for Pipeline Integration and Execution . In BTW Workshops , volume P-363 of LNI , pages 207--217. Gesellschaft f \

Reference 74

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verified exact
doi, observed 2026-08-06T16:18:57.067167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:55.088711Z digest=sha256:15c487ec354d0542ba244464cb04e0589708eff8a1709750d7232cd400ca342a

Observation 1ae8f269-34d4-4061-b9a5-93adc9d603d5 · outbound

This paper cites Towards machine learning-aware data validation.

Towards Next Generation Data Engineering Pipelines Towards machine learning-aware data validation

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-06T16:19:10.717533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:18:55.236087Z digest=sha256:39c9887eb6547f8aa456601abc7d753b3d44e403196dcee8d94dbe329c021e74

Observation 9b410dab-750d-48a3-88d6-ff4df8bc98ae · outbound

This paper cites Transparent Data Preprocessing for Machine Learning.

Towards Next Generation Data Engineering Pipelines Transparent Data Preprocessing for Machine Learning

Reference 76

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no resolver link, observed 2026-08-06T16:18:55.385634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a1450a14-2a19-4bd4-8b1f-591e679e4fd9 · outbound

This paper cites Breunig, Hans - Peter Kriegel, Raymond T.

Towards Next Generation Data Engineering Pipelines Breunig, Hans - Peter Kriegel, Raymond T

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T16:18:55.567021Z

Source-reported events for the cited work

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Observation 27cf353c-c40b-48ac-a0fd-876777397731 · outbound

This paper cites Kramer, Valerie Restat, and Uta St \" o rl.

Towards Next Generation Data Engineering Pipelines Kramer, Valerie Restat, and Uta St \" o rl

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:19:10.323257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d1285b19-8c7e-4616-840f-2648b49ec632 · outbound

This paper cites Birefringent Graphene Oxide Liquid Crystals in Micro-channels for Optical Switch.

Towards Next Generation Data Engineering Pipelines Birefringent Graphene Oxide Liquid Crystals in Micro-channels for Optical Switch

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T16:18:55.852431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 32b2fe69-75f1-40ac-be31-ae15b4200396 · outbound

This paper cites A Survey on Application of Knowledge Graph.

Towards Next Generation Data Engineering Pipelines A Survey on Application of Knowledge Graph

Reference 80

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5f63074e-964a-48ff-83f4-1b6bedd8688f · outbound

This paper cites Large Language Models for JSON Schema Discovery.

Towards Next Generation Data Engineering Pipelines Large Language Models for JSON Schema Discovery

Reference 81

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c03459ec-e8f2-4420-8aa6-d1b8f5322618 · outbound

This paper cites Towards Taming the Adaptivity Problem - Formalizing Poly-/MultiStore Topology Descriptions.

Towards Next Generation Data Engineering Pipelines Towards Taming the Adaptivity Problem - Formalizing Poly-/MultiStore Topology Descriptions

Reference 82

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d4010b8f-901c-4870-80f6-ed1a887dfc07 · outbound

This paper cites Schema Extraction and Structural Outlier Detection for JSON-based NoSQL Data Stores.

Towards Next Generation Data Engineering Pipelines Schema Extraction and Structural Outlier Detection for JSON-based NoSQL Data Stores

Reference 83

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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 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.