Paper Citation Record · LEDGER

Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2304.09433.

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

pith.paper-citation-record.v1
2304.09433 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:39:19.587686Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:59:20.044507Z

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 325d95e1-40af-47aa-9dd2-5e3e8751ba44 · inbound

Gated Linear Attention Transformers with Hardware-Efficient Training cites this paper.

Gated Linear Attention Transformers with Hardware-Efficient Training Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:15:14.068288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cef0e1e1-9c0f-4404-8fbd-72c30dc97ea9 · inbound

Gated Delta Networks: Improving Mamba2 with Delta Rule cites this paper.

Gated Delta Networks: Improving Mamba2 with Delta Rule Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 295

Resolution: verified exact; arxiv_id, observed 2026-05-13T14:50:24.342971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2da0e814-ec99-4e43-85c2-eb1d9e252308 · inbound

Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset cites this paper.

Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T23:39:19.587686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68025587-dae6-4a25-bfd0-eec8967af5cc · inbound

ATLAS: Learning to Optimally Memorize the Context at Test Time cites this paper.

ATLAS: Learning to Optimally Memorize the Context at Test Time Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:16.643683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 357dbb0d-dd8b-44ea-9743-85501c61b04c · inbound

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training cites this paper.

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:12.569369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 468c45bb-0fb3-443f-ac6f-d1428da7dcc2 · inbound

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees cites this paper.

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T11:30:22.180525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3755546-f36b-4f49-a888-6856a99e84b3 · inbound

Controllably Efficient Language Models cites this paper.

Controllably Efficient Language Models Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:52.278564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38691302-45af-4dfe-bb18-f0b4206df2d8 · inbound

Semantic Data Processing with Holistic Data Understanding cites this paper.

Semantic Data Processing with Holistic Data Understanding Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:08:09.595104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0caec5cd-5470-4d42-9b06-d534527d5cc8 · inbound

AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments cites this paper.

AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:55:50.722749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 811bf047-841c-4c77-a51e-748c073de37a · inbound

Flowr -- Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains cites this paper.

Flowr -- Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:55:49.182895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c998ee59-aab9-4449-b159-00e04a6478d5 · inbound

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention cites this paper.

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:41:12.028244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation efb731cb-b7d9-4410-871b-22515919e86b · inbound

Train the Trainers -- An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments cites this paper.

Train the Trainers -- An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:19:59.854231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 097bfd1b-9f9a-450c-9f14-e7838e1acd02 · inbound

Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It cites this paper.

Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 101

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:37:40.373960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de177b95-b64a-4903-8add-28dc9a808944 · inbound

Towards an Agent-First Web: Redesigning the Web for AI Agents cites this paper.

Towards an Agent-First Web: Redesigning the Web for AI Agents Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:20.047778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6378b773-e943-4c8b-8244-3e2257eccc3a · inbound

Morphing into Hybrid Attention Models cites this paper.

Morphing into Hybrid Attention Models Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:44:28.031487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.