Paper Citation Record · LEDGER

Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.19912.

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

pith.paper-citation-record.v1
2305.19912 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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:56:21.604893Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:13:56.856662Z

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 44152f23-ba88-43ec-b6b0-12c588fc7a80 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:13:56.859760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 54958c8b-0cba-4544-b9dc-01ed3ac504cf · inbound

EvoWiki: Evaluating LLMs on Evolving Knowledge cites this paper.

EvoWiki: Evaluating LLMs on Evolving Knowledge Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T13:04:20.157883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deff9d20-eea3-4450-8737-6d4d36fa4700 · inbound

Multi-task retriever fine-tuning for domain-specific and efficient RAG cites this paper.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.740527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16edce94-cacf-4220-8647-03ddb085570d · inbound

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models cites this paper.

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

Reference 136

Resolution: unresolved; no resolver link, observed 2026-08-15T15:56:21.604893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.