Pith. sign in

Paper Citation Record · LEDGER

NeurDB: On the Design and Implementation of an AI-powered Autonomous Database

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.03013.

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

pith.paper-citation-record.v1
2408.03013 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:18:14.320891Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:34:24.261762Z

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 e5ef64b4-c9b4-4aee-9ff4-b5b31f1ae8ee · inbound

Top Ten Challenges Towards Agentic Neural Graph Databases cites this paper.

Top Ten Challenges Towards Agentic Neural Graph Databases NeurDB: On the Design and Implementation of an AI-powered Autonomous Database

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-10T15:18:14.320891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:14.320891Z digest=sha256:62646f2c218188ed770e78126b763e092d027e76bf91ff543ecaba1b81786638

Observation 36516aaa-500e-41a7-89f5-4b92c3cedcb7 · inbound

Access Paths for Efficient Ordering with Large Language Models cites this paper.

Access Paths for Efficient Ordering with Large Language Models NeurDB: On the Design and Implementation of an AI-powered Autonomous Database

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:34:24.263582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T22:32:23.352584Z digest=sha256:16f59bd4d0bc1f86c46d3bea0fcb699784f84d86203f71e5f1caa7feb00b4aed