Paper Citation Record · LEDGER

Large Language Models for JSON Schema Discovery

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.03286.

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

pith.paper-citation-record.v1
2407.03286 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:18:56.176603Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:29:55.421243Z

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 5f63074e-964a-48ff-83f4-1b6bedd8688f · inbound

Towards Next Generation Data Engineering Pipelines cites this paper.

Towards Next Generation Data Engineering Pipelines Large Language Models for JSON Schema Discovery

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T16:18:56.176603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27afba49-a8f9-43e7-ba61-86b18b4e0403 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Large Language Models for JSON Schema Discovery

Reference 153

Resolution: unresolved; no resolver link, observed 2026-08-03T08:15:25.872666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 823721c3-40b8-42a9-a1ad-b935010958c4 · inbound

Orchestrating Black-Box Schema Converters: An Empirical Study of Automated, Quality-Ranked Conversion Across Heterogeneous Schema Languages cites this paper.

Orchestrating Black-Box Schema Converters: An Empirical Study of Automated, Quality-Ranked Conversion Across Heterogeneous Schema Languages Large Language Models for JSON Schema Discovery

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:29:55.423281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46b22113-ed26-4805-985a-0757d85fd8ce · inbound

SciSchema.org: A Multidisciplinary Collection of Schemas for Structured Scientific Process Descriptions cites this paper.

SciSchema.org: A Multidisciplinary Collection of Schemas for Structured Scientific Process Descriptions Large Language Models for JSON Schema Discovery

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-31T22:18:11.321479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.