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Paper Citation Record · LEDGER

Data-centric Artificial Intelligence: A Survey

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2303.10158.

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

pith.paper-citation-record.v1
2303.10158 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:46:50.538274Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:37.945108Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e9bbac81-8950-4e42-a8b1-bb0ab894c0b5 · inbound

An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification cites this paper.

An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification Data-centric Artificial Intelligence: A Survey

Reference 2

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arxiv_id, observed 2026-05-24T03:05:56.898114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-24T03:05:09.466392Z digest=sha256:376b04cd9c277814cfe377393496780f993d42e6de1a777cf999b43cf858b634

Observation 2c012709-911c-4afe-894c-a60593cdf1e9 · inbound

Data Lineage Inference: Uncovering Privacy Vulnerabilities of Dataset Pruning cites this paper.

Data Lineage Inference: Uncovering Privacy Vulnerabilities of Dataset Pruning Data-centric Artificial Intelligence: A Survey

Reference 44

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no resolver link, observed 2026-08-12T13:58:52.890782Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:58:52.890782Z digest=sha256:4dd03114f4cc913e44885e3dba7565d96f312f0b73523c61fae4c38a41a5aa85

Observation d87a1566-8705-4207-9e81-9c3b7117fd83 · inbound

Towards Modeling Data Quality and Machine Learning Model Performance cites this paper.

Towards Modeling Data Quality and Machine Learning Model Performance Data-centric Artificial Intelligence: A Survey

Reference 33

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no resolver link, observed 2026-08-11T20:18:53.136901Z

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source=arxiv_source observed=2026-08-11T20:18:53.136901Z digest=sha256:18d84a489037e8e68e4738c333bd3d1fc8c4418ff9d77ec40469dd50038913ae

Observation e359aa23-4dad-4dc9-9313-3ad490fa2b80 · inbound

Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective cites this paper.

Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective Data-centric Artificial Intelligence: A Survey

Reference 10

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no resolver link, observed 2026-08-11T16:53:52.699754Z

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source=pdf_text observed=2026-08-11T16:53:52.699754Z digest=sha256:5f84450e83d1587e17223464df79feb067eda2d9aaf0383586b4f22731131e5b

Observation 503a9390-a01a-4f2e-8a7f-4a366e357345 · inbound

Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems cites this paper.

Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems Data-centric Artificial Intelligence: A Survey

Reference 74

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source=pdf_text observed=2026-08-11T00:52:27.116936Z digest=sha256:f35a38b1f04fa003c59aa8c77f46748bf9bd34370a17e5acb4c9d74da8d73a0d

Observation a5db8218-7c5d-4b28-bfee-5fa11aaa97e2 · inbound

Meta-Instance Selection. Instance Selection as a Classification Problem with Meta-Features cites this paper.

Meta-Instance Selection. Instance Selection as a Classification Problem with Meta-Features Data-centric Artificial Intelligence: A Survey

Reference 11

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no resolver link, observed 2026-08-10T18:14:38.145887Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:14:38.145887Z digest=sha256:3de1177452809ab989a3797c0e5c229d3ae0bee0942e058c064c1dc4e4b38b18

Observation 7306de35-25a1-4631-b241-64b9e7418844 · inbound

Interpolation pour l'augmentation de donnees : Application \`a la gestion des adventices de la canne a sucre a la Reunion cites this paper.

Interpolation pour l'augmentation de donnees : Application \`a la gestion des adventices de la canne a sucre a la Reunion Data-centric Artificial Intelligence: A Survey

Reference 17

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no resolver link, observed 2026-08-10T21:11:42.780738Z

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source=arxiv_source observed=2026-08-10T21:11:42.780738Z digest=sha256:7730dd0e5b62e3af35fecb31cb952972ad02fc00624c694fc8337f5f6c835c31

Observation 3a26d877-de51-492b-acc5-8e6bbf155403 · inbound

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization cites this paper.

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization Data-centric Artificial Intelligence: A Survey

Reference 4

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source=pdf_text observed=2026-08-16T10:46:50.538274Z digest=sha256:c0bb5f17ffbb893f4678daabfc241890925eb969fe12cfdc188bf835615d2842

Observation d32f5d62-281d-4ee8-8981-0554a7ea4e68 · inbound

Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models cites this paper.

Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models Data-centric Artificial Intelligence: A Survey

Reference 69

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arxiv_id, observed 2026-05-22T16:31:47.157665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T16:29:56.727145Z digest=sha256:be671cf23da0de5eaa466183a983bf47335b4b9a898d288aac7e7e88f844afc0

Observation c1e55201-ec57-4ec5-b469-ff96f834dd09 · inbound

Laplace Sample Information: Data Informativeness Through a Bayesian Lens cites this paper.

Laplace Sample Information: Data Informativeness Through a Bayesian Lens Data-centric Artificial Intelligence: A Survey

Reference 73

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no resolver link, observed 2026-08-07T15:26:10.324247Z

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source=arxiv_source observed=2026-08-07T15:26:10.324247Z digest=sha256:35b52026bfc189f601a761e72b3d86f45a44fbe2bf6ddf1fadc27294121156ec

Observation 1795e28c-0db6-446e-880b-fda56306c20e · inbound

ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization cites this paper.

ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization Data-centric Artificial Intelligence: A Survey

Reference 82

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no resolver link, observed 2026-08-07T14:47:34.535090Z

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source=pdf_text observed=2026-08-07T14:47:34.535090Z digest=sha256:0c789220b0923fa89f5ea1c46786e05689212f25254054c023e5671b0b7f6cfc

Observation 2e38babb-0c68-493e-8934-cc283bc0d524 · inbound

Feature Shift Localization Network cites this paper.

Feature Shift Localization Network Data-centric Artificial Intelligence: A Survey

Reference 2017

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:05:40.420761Z digest=sha256:ba02406dcbb96b5d80f4a82ad36a59186414e561f949231657275e5a886d8970

Observation 6623ca35-1e73-4d63-96f8-ed603f12e4de · inbound

Importance of User Control in Data-Centric Steering for Healthcare Experts cites this paper.

Importance of User Control in Data-Centric Steering for Healthcare Experts Data-centric Artificial Intelligence: A Survey

Reference 54

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source=arxiv_source observed=2026-08-07T15:03:45.752947Z digest=sha256:f48d32f02c7306ef68e3f8872d85a223ec850a62f5cf50225d70ff0c5985de43

Observation da86c45d-803e-499c-a60d-9724efd2886b · inbound

Distribution Shift Aware Neural Tabular Learning cites this paper.

Distribution Shift Aware Neural Tabular Learning Data-centric Artificial Intelligence: A Survey

Reference 48

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no resolver link, observed 2026-08-15T16:57:43.421790Z

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source=arxiv_source observed=2026-08-15T16:57:43.421790Z digest=sha256:1bca14abb1ac568804a79d5937f2b61cd188b42838c364a88e25032fd2eedef3

Observation 75de4f2d-2ba0-472b-b020-9beeeb5f3766 · inbound

MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models cites this paper.

MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models Data-centric Artificial Intelligence: A Survey

Reference 52

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no resolver link, observed 2026-08-04T22:32:17.826152Z

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source=pdf_text observed=2026-08-04T22:32:17.826152Z digest=sha256:b5ba7af13faac19efcc9dec7c5a6b7a8e23c6770663ee78eb6166f7bba328e81

Observation 5f3a7e7b-4dda-4cf0-8930-b991921a9a75 · inbound

Can We Predict Before Executing Machine Learning Agents? cites this paper.

Can We Predict Before Executing Machine Learning Agents? Data-centric Artificial Intelligence: A Survey

Reference 8

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arxiv_id, observed 2026-05-16T15:43:03.595878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T15:42:25.852911Z digest=sha256:cc341a93e39f4b3e6416d785e24918474d4f65df14933971a4eb7a84cc3e2533

Observation bf8b9d73-5095-42a0-9f90-173f3d2d3380 · inbound

Pioneer Agent: Continual Improvement of Small Language Models in Production cites this paper.

Pioneer Agent: Continual Improvement of Small Language Models in Production Data-centric Artificial Intelligence: A Survey

Reference 107

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arxiv_id, observed 2026-05-11T06:05:57.273594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T17:48:40.520740Z digest=sha256:0891129657eea8bc705c66d3c7399ad4feded948f498e1fe980cb3697bf5350d

Observation 1c961969-c3af-4dbc-b22e-13ad67702c83 · inbound

Clinical Note Bloat Reduction for Efficient LLM Use cites this paper.

Clinical Note Bloat Reduction for Efficient LLM Use Data-centric Artificial Intelligence: A Survey

Reference 27

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arxiv_id, observed 2026-05-15T06:45:12.380069Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T06:40:23.199798Z digest=sha256:600b0e5d59a281ab05e8a39ec659eb7e8aa305f86549b97b3aedf372e3adbd28

Observation 47494ba1-c022-4e26-8130-ae58b08a4545 · inbound

Prior-Aligned Data Cleaning for Tabular Foundation Models cites this paper.

Prior-Aligned Data Cleaning for Tabular Foundation Models Data-centric Artificial Intelligence: A Survey

Reference 33

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arxiv_id, observed 2026-05-11T23:31:16.932642Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T16:47:31.905149Z digest=sha256:b238c60a581168dad7d2b67a58bdff2d21e6a00c1045cad4dca5b647bf6abc3a

Observation 9ecd276e-b3b3-46dd-a6b8-a2a4809c32ac · inbound

"Skill Issues'': Data-Centric Optimization of Lakehouse Agents cites this paper.

"Skill Issues'': Data-Centric Optimization of Lakehouse Agents Data-centric Artificial Intelligence: A Survey

Reference 38

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arxiv_id, observed 2026-07-01T21:06:14.686964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T17:27:02.755216Z digest=sha256:1d91fff9fee75379fdb61b57ae4cbfb2af8fec68e1e72e28b2bff725b3cb2095

Observation 656f7f04-ae53-45ac-9b2b-378cc726369e · inbound

"Skill Issues'': Data-Centric Optimization of Lakehouse Agents cites this paper.

"Skill Issues'': Data-Centric Optimization of Lakehouse Agents Data-centric Artificial Intelligence: A Survey

Reference 35

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no resolver link, observed 2026-08-02T12:39:42.441332Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:39:42.441332Z digest=sha256:d0e1ca3a27fde32d8d5b6d3c5f9c48b77f48a1149fe2cf1e2318f62b66f629ea

Observation 0ce49627-49a0-43e6-b99a-c5f3d7def206 · inbound

iSAGE: A Human-in-the-Loop Framework for Remote Sensing Semantic Segmentation via Sparse Point Supervision cites this paper.

iSAGE: A Human-in-the-Loop Framework for Remote Sensing Semantic Segmentation via Sparse Point Supervision Data-centric Artificial Intelligence: A Survey

Reference 5

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arxiv_id, observed 2026-07-03T01:07:30.044202Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T16:49:18.335556Z digest=sha256:f5605d88fb55dcc5c85a993a8990c4d9a99d9b991e298a4e564dafb3182e88bc

Observation f89bf2bf-a353-4385-9fb3-2239c15fac33 · inbound

Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps Deployment, and Drift-Aware Lifecycle Optimization cites this paper.

Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps Deployment, and Drift-Aware Lifecycle Optimization Data-centric Artificial Intelligence: A Survey

Reference 10

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arxiv_id, observed 2026-07-03T23:29:02.923559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T22:07:45.909694Z digest=sha256:d1cd514412d7409ab534761dc767973f1738f3fa91c3e803079ecd466abd2238

Observation 9bfbc080-6581-4a0b-a6c2-24f13f0711da · inbound

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams cites this paper.

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams Data-centric Artificial Intelligence: A Survey

Reference 36

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arxiv_id, observed 2026-07-04T06:29:37.946683Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T14:24:19.702588Z digest=sha256:0dcff1884f2ff8a7f8ed3ea7f7e6d002cb5feddf9d43749b0c7a1492db36d970

Observation ebe5cf82-97d4-485d-b4b0-14e1f9c1331f · inbound

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams cites this paper.

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams Data-centric Artificial Intelligence: A Survey

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:47:39.062433Z digest=sha256:666262dde3e7e9c46219469f7700a4a688f83f41e951b5c5a1b883407459841d

Observation 1f036b23-b2c8-4927-ad81-b8707c70f7a3 · inbound

DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines cites this paper.

DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines Data-centric Artificial Intelligence: A Survey

Reference 28

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source=pdf_text observed=2026-08-01T20:28:51.339722Z digest=sha256:a80d99daa8fe43103d36b24fb4307c8825a43d88125d1f3cc9caa9d58059c6c6

Observation 2e9e7d6f-7324-4f72-a079-da500c1df585 · inbound

Beyond Component Testing: Validating Agentic AI Systems cites this paper.

Beyond Component Testing: Validating Agentic AI Systems Data-centric Artificial Intelligence: A Survey

Reference 69

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source=arxiv_source observed=2026-08-03T07:41:24.326971Z digest=sha256:44532192e94a3e833acaaabf18518930d2cdf4e6c3b99e70dbe45d974ce1cfb5