Paper Citation Record · LEDGER

In-Context Adaptation to Concept Drift for Learned Database Operations

As of 22 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2505.04404.

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

pith.paper-citation-record.v1
2505.04404 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:35:02.552776Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy8
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7cf54703-6ffa-4bae-9872-68bb3d4ecdba · outbound

This paper cites In Proceedings of the 2020 ACM SIGMOD international conference on management of data.

In-Context Adaptation to Concept Drift for Learned Database Operations In Proceedings of the 2020 ACM SIGMOD international conference on management of data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:35:02.685474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44c4a439-dd3e-46d0-9e46-d29d46f0e74d · outbound

This paper cites In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data.

In-Context Adaptation to Concept Drift for Learned Database Operations In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:35:02.675052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b1b29271-ded7-45bf-8c86-263b8babf7f9 · outbound

This paper cites In Proceedings of the Sixth International Workshop on Ex- ploiting Artificial Intelligence Techniques for Data Man- agement.

In-Context Adaptation to Concept Drift for Learned Database Operations In Proceedings of the Sixth International Workshop on Ex- ploiting Artificial Intelligence Techniques for Data Man- agement

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:35:02.644891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5d1c5b9-cc7b-4a95-bcbe-1febd10dd6d1 · outbound

This paper cites A Unified Transferable Model for ML-Enhanced DBMS.

In-Context Adaptation to Concept Drift for Learned Database Operations A Unified Transferable Model for ML-Enhanced DBMS

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T23:35:02.594679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c8556454-2c74-40e7-9a39-3f9319b3de1a · outbound

This paper cites https: //www.postgresql.org.

In-Context Adaptation to Concept Drift for Learned Database Operations https: //www.postgresql.org

Reference 1996

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:35:02.715314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 13e880e2-6429-41c2-a36e-d1946844854e · outbound

This paper cites https:// relational-data.org/dataset/Stats.

In-Context Adaptation to Concept Drift for Learned Database Operations https:// relational-data.org/dataset/Stats

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:35:02.705616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ca7a4f8-86ae-4e21-bb2a-c38bd8fa26d6 · outbound

This paper cites Reads the Manual.

In-Context Adaptation to Concept Drift for Learned Database Operations Reads the Manual

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:35:02.655557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 73b76767-91dd-4e0d-bfa2-b4f7de8adcf6 · outbound

This paper cites D-Bot: Database Diagnosis System using Large Language Models.

In-Context Adaptation to Concept Drift for Learned Database Operations D-Bot: Database Diagnosis System using Large Language Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T23:35:02.552776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 430bc961-bf2f-478e-831e-550deae0a660 · outbound

This paper cites DeepDB: Learn from Data, not from Queries!.

In-Context Adaptation to Concept Drift for Learned Database Operations DeepDB: Learn from Data, not from Queries!

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T23:35:02.529948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e902386-38c4-4955-823d-63c70c74f625 · outbound

This paper cites In Interna- tional Conference on Machine Learning.

In-Context Adaptation to Concept Drift for Learned Database Operations In Interna- tional Conference on Machine Learning

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:35:02.695864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 41f09224-fb53-40f2-88b7-68d5b5281e02 · outbound

This paper cites Proceedings of the VLDB Endowment 14, 11 (2021).

In-Context Adaptation to Concept Drift for Learned Database Operations Proceedings of the VLDB Endowment 14, 11 (2021)

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:35:02.665682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a4c5c238-25ea-4ad0-9ed6-85568ebf7219 · outbound

This paper cites A Survey on In-context Learning.

In-Context Adaptation to Concept Drift for Learned Database Operations A Survey on In-context Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T23:35:02.519063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da05a07b-4a01-43c7-a29b-4a4a71cad651 · outbound

This paper cites LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves.

In-Context Adaptation to Concept Drift for Learned Database Operations LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T23:35:02.616918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9f43e8fc-6a18-4dcf-8180-61942696860e · outbound

This paper cites GPT-4 Technical Report.

In-Context Adaptation to Concept Drift for Learned Database Operations GPT-4 Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T23:35:02.515524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.