Paper Citation Record · LEDGER

Tackling prediction tasks in relational databases with LLMs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.11829.

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

pith.paper-citation-record.v1
2411.11829 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:33:32.640233Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:06:41.435500Z

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 bf7fcd3d-9450-4168-8d25-8a520b02c03e · inbound

No Need to Train Your RDB Foundation Model cites this paper.

No Need to Train Your RDB Foundation Model Tackling prediction tasks in relational databases with LLMs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:32.640233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e79b17-4bec-494e-9931-74648176724f · inbound

RelAgent: LLM Agents as Data Scientists for Relational Learning cites this paper.

RelAgent: LLM Agents as Data Scientists for Relational Learning Tackling prediction tasks in relational databases with LLMs

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:15:56.300642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 80061069-a6e5-4cd3-9b02-09ce94d007cc · inbound

OpenRFM: Dissecting Relational In-Context Learning cites this paper.

OpenRFM: Dissecting Relational In-Context Learning Tackling prediction tasks in relational databases with LLMs

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:06:41.436991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation af9950ef-abef-43d1-89ea-bb2cb1aff26f · inbound

Parameter-Free Encoders Remain Viable for RDB Foundation Models cites this paper.

Parameter-Free Encoders Remain Viable for RDB Foundation Models Tackling prediction tasks in relational databases with LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T11:47:14.742492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5de6ce3e-af7a-4219-af07-1d4b98ae5943 · inbound

Parameter-Free Encoders Remain Viable for RDB Foundation Models cites this paper.

Parameter-Free Encoders Remain Viable for RDB Foundation Models Tackling prediction tasks in relational databases with LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T08:36:04.568416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.