Paper Citation Record · LEDGER

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems

As of 19 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2507.21056.

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

pith.paper-citation-record.v1
2507.21056 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:06:01.830767Z

measured 23 of 23 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact1
verified fuzzy17
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b400265f-8b15-4949-a813-1144c03ba5a1 · outbound

This paper cites Atlan, 2024[18].

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Atlan, 2024[18]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.528995Z

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.

Observation ec11d067-de73-4e57-b1e0-a329833442be · outbound

This paper cites A Guide to Data Contracts.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems A Guide to Data Contracts

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.515486Z

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.

Observation 0539eda8-f681-402c-9622-c949d7908eda · outbound

This paper cites A Survey on Data Quality Dimensions and Tools for Machine Learning.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems A Survey on Data Quality Dimensions and Tools for Machine Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:06:01.616865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4eec7a3-8831-4f35-9cfa-435ded61d1a0 · outbound

This paper cites Use Gemini to ingest and understand data.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Use Gemini to ingest and understand data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.500723Z

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.

Observation b164e3e6-e657-4551-968b-afe3d965a57a · outbound

This paper cites The Power of Fine- Tuning on Your Data: Quick Fix via Never-Ending Learning.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems The Power of Fine- Tuning on Your Data: Quick Fix via Never-Ending Learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.484441Z

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.

Observation df4be076-920b-49a9-ac1d-9d8457aa1c61 · outbound

This paper cites Building a Data-Centric Platform for Generative AI and LLMs at Snowflake.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Building a Data-Centric Platform for Generative AI and LLMs at Snowflake

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.468314Z

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.

Observation 07d816f9-45c1-4a35-8dc0-ee52b918dfe5 · outbound

This paper cites Taxonomy Inference for Tabular Data Using Large Language Models.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Taxonomy Inference for Tabular Data Using Large Language Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:06:01.951662Z

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.

Observation 5f5f7894-7591-4854-aa5a-e13b7e53ede6 · outbound

This paper cites Generative AI.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Generative AI

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.453763Z

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.

Observation b2250843-c9b6-478b-969c-ad0402461d66 · outbound

This paper cites Attention Is All You Need.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Attention Is All You Need

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.438759Z

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.

Observation 7d211d32-bba6-41a9-a27c-e82e8826c5e1 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:06:01.749665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28faf3e2-1f6f-4dc6-a608-9cfb7f75f57b · outbound

This paper cites Decoding the drive-bath interplay: A guideline to enhance superconductivity.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Decoding the drive-bath interplay: A guideline to enhance superconductivity

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T04:06:01.907305Z

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.

Observation 75f04d5a-567c-47dc-981c-7b2967aa3662 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Under- standing.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems BERT: Pre-training of Deep Bidirectional Transformers for Language Under- standing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.421928Z

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.

Observation 55cec537-0f2e-4f2f-9150-bb6ebcbb4524 · outbound

This paper cites Improving Language Un- derstanding by Generative Pre-Training.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Improving Language Un- derstanding by Generative Pre-Training

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.403797Z

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.

Observation d07daa17-5c72-4262-b6fe-583282c15812 · outbound

This paper cites Language Models are Few-Shot Learners.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Language Models are Few-Shot Learners

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.376374Z

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.

Observation 40a5bf9f-2904-42c9-90ce-9c972331c25f · outbound

This paper cites Exploring the Limits of Transfer Learning with a Text-to-Text Transformer (T5).

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Exploring the Limits of Transfer Learning with a Text-to-Text Transformer (T5)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.359775Z

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.

Observation c89f8661-7bbf-461f-ad01-ff69e1ecc82a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T04:06:01.794787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d161e3b-0b6d-48ad-bde0-a1b7b6757542 · outbound

This paper cites A Survey on the Structure of Data Contracts.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems A Survey on the Structure of Data Contracts

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.343425Z

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.

Observation 2a96bb33-f46b-40ae-bf78-a5b612a0e4db · outbound

This paper cites Generating Struc- tured Output from LLMs.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Generating Struc- tured Output from LLMs

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.316318Z

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.

Observation 5adfc4fa-a392-4ff8-94df-d239863e29b7 · outbound

This paper cites Connection of event shapes to the heavy-flavor baryon enhancement.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Connection of event shapes to the heavy-flavor baryon enhancement

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:06:01.810959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5883458-9914-477a-bdda-0d8800bee23d · outbound

This paper cites DataOps and Generative AI: A Survey.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems DataOps and Generative AI: A Survey

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.261410Z

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.

Observation 249b1101-d517-4a16-972f-cef12498a222 · outbound

This paper cites Data Contracts: A Foundation for Data Products.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Data Contracts: A Foundation for Data Products

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.194104Z

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.

Observation ba41856e-60d9-429d-94f6-eb7c2426bf5e · outbound

This paper cites An Experimental Evalu- ation of LLMs for Data Pipeline Automation.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems An Experimental Evalu- ation of LLMs for Data Pipeline Automation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.082500Z

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.

Observation 39bc39f6-0af1-4e42-a339-251aeb22f001 · outbound

This paper cites Schema Inference in Modern Data Lakes.

AI-Driven Generation of Data Contracts in Modern Data Engineering Systems Schema Inference in Modern Data Lakes

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:02.030039Z

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.

Pith citing papers

No inbound Pith citation observations are available.