Paper Citation Record · LEDGER

EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.03598.

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

pith.paper-citation-record.v1
2504.03598 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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:41:42.440196Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:27:40.419366Z

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 d5df1542-63f4-4c0a-a101-ea552e0356b2 · inbound

CORE-T: COherent REtrieval of Tables for Text-to-SQL cites this paper.

CORE-T: COherent REtrieval of Tables for Text-to-SQL EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T09:41:42.440196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f86b6aef-8ed8-4e37-a35a-e93d375b70d1 · inbound

Context Collapse: Barriers to Adoption for Generative AI in Workplace Settings cites this paper.

Context Collapse: Barriers to Adoption for Generative AI in Workplace Settings EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:35:52.610884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 25715727-ef94-48e8-9ab5-1a54cb11ecad · inbound

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges cites this paper.

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:56:05.026295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 43afac56-4d88-4954-9254-7114c8d6c75c · inbound

SOMA-SQL: Resolving Multi-Source Ambiguity in NL-to-SQL via Synthetic Log and Execution Probing cites this paper.

SOMA-SQL: Resolving Multi-Source Ambiguity in NL-to-SQL via Synthetic Log and Execution Probing EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:40.420836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 228c2b0a-8fc6-43f9-a650-62bf2d096bc6 · inbound

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval cites this paper.

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:24:38.210358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.