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Paper Citation Record · LEDGER

UDO: Universal Database Optimization using Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.01744.

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

pith.paper-citation-record.v1
2104.01744 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:56:30.545129Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T20:22:37.568285Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 2866e5cb-0442-4ac8-a84d-3d16494cb443 · inbound

MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration cites this paper.

MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration UDO: Universal Database Optimization using Reinforcement Learning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T23:56:30.545129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:56:30.545129Z digest=sha256:b6467138f8611b421f19489c327ae3c8e0d54dbe130ca65d2c9094358e444c91

Observation 5e03313f-92e6-4601-8d25-f5585929896c · inbound

AIM: A practical approach to automated index management for SQL databases cites this paper.

AIM: A practical approach to automated index management for SQL databases UDO: Universal Database Optimization using Reinforcement Learning

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:22:37.570004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T19:54:08.625834Z digest=sha256:6adce3ec285d21391d2b458c9e85321e7768c7dc730fe87015f831830994c019