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Paper Citation Record · LEDGER

Data-centric Artificial Intelligence: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 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 19 of 19 standing notices

One-hop event checks from named stored sources.

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

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:10.324247Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T03:05:09.466392Z digest=sha256:eac9ac538aa1b2605abb1194113cbeb2388ce91ffa845faa33f73c1539493e79

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T16:29:56.727145Z digest=sha256:5fe0cf006bf2944c4c5a7dca68b1f378e673eed4fb583d0cfc5c94368f823677

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:10.324247Z digest=sha256:b901f475caeb662802b8a1e1542e920455ca88d13b066a947399f8c5e5312911

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:34.535090Z digest=sha256:3d20c5392f1c43ecb4c2d0a93a99e9faf9c168d7f43591e48e8e68650b35ffee

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:05:40.420761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:05:40.420761Z digest=sha256:422ecefd1e00d142e3b0aae1b3fe7759e80ad38e957e8960b11150cc196ba808

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:03:45.752947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:03:45.752947Z digest=sha256:c592e6bb7b666cea5232dc2e97faa48e8275dd51695755807db2beefb5dad561

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:32:17.826152Z digest=sha256:2f210f44dc2d0615eac80243fcb071680e38ed080e373c749fb1219dd39c5ef5

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T15:42:25.852911Z digest=sha256:6f1c6bac5820975bcc5bd9b9e1e5701657b0738f8d00674a30f991b6429cedd8

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

Resolution
metadata mismatch
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T17:48:40.520740Z digest=sha256:e9730067d7b7408c44c73eeeee45913d4a2afb82f7fafc128f662ae962b7bfa8

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T06:40:23.199798Z digest=sha256:6940efc64d3e270cd86342f2e322f59938842a715bfcfd0b4642985c80381b19

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T16:47:31.905149Z digest=sha256:d2c619e85b2cdf636112a4bcd9d3f1d850d3af4dc0505dfe07c99bcfe4ce026b

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T17:27:02.755216Z digest=sha256:0d02493b0dbfebce0f1b58d8b5b75e0fdb0caf0bb1236f8a6125be9c32e6fa51

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:39:42.441332Z digest=sha256:c3417e823d782e7799adb071a5be83d98d79b42450ad1aff842b4d62944ff0f8

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

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T01:07:30.044202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T16:49:18.335556Z digest=sha256:d087c289eb4f0fb4e40f43e2ac8ec87c67951b207a38fac8cfa50436bce21ec2

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

Resolution
metadata mismatch
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T22:07:45.909694Z digest=sha256:c5c1622b3f4cc9d685e9dc99090263e556665c884ae8f0906e629261f86d1850

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:24:19.702588Z digest=sha256:326822bfb55d6f7da7e0dc178ea8e11703b8265e46e4872bb6cde8ffccd96149

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:47:39.062433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:47:39.062433Z digest=sha256:ff0733c7b60c329fc6337652faacf88472809f8f5d0867edf947e89c2e479ce9

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

Resolution
unresolved
no resolver link, observed 2026-08-01T20:28:51.339722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:28:51.339722Z digest=sha256:6bd024dbb17d1d480d9658c53996262751b11be9ccd4ad4bb56123e25c3d23fc

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

Resolution
unresolved
no resolver link, observed 2026-08-03T07:41:24.326971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T07:41:24.326971Z digest=sha256:127ec7b67b30e291206b4c3e919b33504dc6fea60ae85edfdc45fd4d39bb83d1