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Paper Citation Record · LEDGER

Hybrid Querying Over Relational Databases and Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.00884.

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

pith.paper-citation-record.v1
2408.00884 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T05:29:08.391011Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8c8d1c1f-8f07-4593-8092-ab2c9c04548e · inbound

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

Access Paths for Efficient Ordering with Large Language Models Hybrid Querying Over Relational Databases and Large Language Models

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:34:24.229130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T22:32:23.352584Z digest=sha256:22ff565050150f6032e832bfffff5d0c56fdd2b1a1757914145b36db091de1ce

Observation 171daab8-26a7-49d6-881f-d24c9bb99359 · inbound

Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis cites this paper.

Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis Hybrid Querying Over Relational Databases and Large Language Models

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:40:11.764277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T17:37:30.960959Z digest=sha256:48d87ea0004125259f26398b33cacc93202140304babb8d238ea5432f711f86c

Observation c431fb44-5bbf-4bc6-9c89-d33f006d77d6 · inbound

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models cites this paper.

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models Hybrid Querying Over Relational Databases and Large Language Models

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:31:17.471767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T05:11:46.991452Z digest=sha256:5cf201e3f55649ff77780e08964a0afed7ea15d9ea290eb78426abe4c1b8acc5

Observation 34d76246-85ba-433f-87cd-a8003bbeaa54 · inbound

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models cites this paper.

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models Hybrid Querying Over Relational Databases and Large Language Models

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:55:10.582413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:53:11.604043Z digest=sha256:bad38956e6312bea197b605d8db9c8f7cdf5286fd5806cc4c69b653537016db3

Observation 33926d4b-ba9d-45a1-96ab-3fc903bcb12c · inbound

AvalancheBench: Evaluating Enterprise Data Agents Through Latent World Recovery cites this paper.

AvalancheBench: Evaluating Enterprise Data Agents Through Latent World Recovery Hybrid Querying Over Relational Databases and Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:34:45.346021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T14:32:18.777120Z digest=sha256:9276071f426bc1d82049226524aeab31eb059613fe9cb2114201cdd97e219c00

Observation 15e6c06f-0202-4274-8d16-a009ccd8e645 · inbound

Cost-Aware Optimization for Agentic Query Execution cites this paper.

Cost-Aware Optimization for Agentic Query Execution Hybrid Querying Over Relational Databases and Large Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-28T10:42:00.639184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T08:22:17.427073Z digest=sha256:a289eb3020ab5ea472689029c7fb21c13eea6ed3fea87bfe46f4da5e1349c685

Observation 1a6ac87b-64a8-483f-99d4-3b4e445c58e2 · inbound

Larch: Learned Query Optimization for Semantic Predicates cites this paper.

Larch: Learned Query Optimization for Semantic Predicates Hybrid Querying Over Relational Databases and Large Language Models

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:57:26.203006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T19:21:22.978335Z digest=sha256:a625add0cfa362abcfe3897eaef1c0cdb775ec10eef17d14f1a1f122e625fb5d

Observation 2ea97d30-1fc6-4b95-af2e-90f934ac7b4c · inbound

Large Databases Need Small, Open-Weight Language Models cites this paper.

Large Databases Need Small, Open-Weight Language Models Hybrid Querying Over Relational Databases and Large Language Models

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:25:42.240412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-01T05:29:08.391011Z digest=sha256:eaee1c959279f04bbd76ee63dcd6608b54bdee88ac6c68f1d5da52a6b3215e97