Paper Citation Record · LEDGER

Conceptual Schema Inference for Tabular Datasets using Large Language Models

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 4 inbound Pith citation observations for arXiv:2509.04632.

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

pith.paper-citation-record.v1
2509.04632 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T06:00:25.248623Z

measured 42 of 42 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:45.170357Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:46:37.305683Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy38
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52226611-d68e-4dd4-a405-b0d76e6de589 · outbound

This paper cites Data lakes: A survey of functions and systems,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Data lakes: A survey of functions and systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.588267Z

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 b0523742-c0ff-4d20-8203-2ac1c9950d66 · outbound

This paper cites Web table extraction, retrieval, and augmentation: A survey,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Web table extraction, retrieval, and augmentation: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.580331Z

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 bf97b4da-5aa3-4d53-92f0-bc1ef5fbdc40 · outbound

This paper cites Governor: Turning open government data portals into interactive databases,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Governor: Turning open government data portals into interactive databases,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.572152Z

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 cf8c7174-6c41-4b1f-a6d4-0bf17dd66678 · outbound

This paper cites Dataset discovery and exploration: A survey,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Dataset discovery and exploration: A survey,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.564059Z

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 3c2d5550-5550-4c23-8b6a-5bd3f9a72c9d · outbound

This paper cites Data integra- tion for the relational web,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Data integra- tion for the relational web,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.556027Z

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 c9bef797-45f3-4c50-8fdd-317eafb093c2 · outbound

This paper cites Table union search on open data,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Table union search on open data,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.547780Z

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 544c934b-7323-4bd0-af7f-37ae33a26cc7 · outbound

This paper cites Seeping semantics: Linking datasets using word embeddings for data discovery,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Seeping semantics: Linking datasets using word embeddings for data discovery,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.539752Z

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 88b86d40-d240-48a5-a792-562763b6845a · outbound

This paper cites Organizing data lakes for navigation,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Organizing data lakes for navigation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.530829Z

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 165899c5-60d8-4708-a3d1-5161cdeb0438 · outbound

This paper cites Learning semantic annotations for tabular data,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Learning semantic annotations for tabular data,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.522359Z

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 6bceb8a0-b2d4-4aeb-a603-bbaa55122222 · outbound

This paper cites TURL: table understanding through representation learning,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models TURL: table understanding through representation learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.514315Z

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 a0c9b3e0-593f-4c89-8a1f-743949fb7823 · outbound

This paper cites Profiling relational data: a survey,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Profiling relational data: a survey,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.505772Z

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 6218cfaf-0a4a-4423-b804-5e0762033afb · outbound

This paper cites Josie: Overlap set similarity search for finding joinable tables in data lakes,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Josie: Overlap set similarity search for finding joinable tables in data lakes,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.497774Z

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 8520cffd-e5db-44a9-baac-570e4590d048 · outbound

This paper cites Efficient join- able table discovery in data lakes: A high-dimensional similarity- based approach,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Efficient join- able table discovery in data lakes: A high-dimensional similarity- based approach,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.489722Z

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 cab4d2bd-c78f-4c4c-bac3-c165dc927fd1 · outbound

This paper cites Summarizing semantic graphs: a survey,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Summarizing semantic graphs: a survey,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.481565Z

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 6d59d53e-b468-483c-b873-62f844c01bf3 · outbound

This paper cites A survey on semantic schema discovery,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models A survey on semantic schema discovery,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.472974Z

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 735f8b83-a19a-4707-a79a-9125a6a1c240 · outbound

This paper cites Schema summarization,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Schema summarization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.464978Z

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 63aec4d5-9283-4c6d-be68-a5f0ca3cd668 · outbound

This paper cites Struc- ture inference for linked data sources using clustering,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Struc- ture inference for linked data sources using clustering,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.457140Z

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 eaf3ace5-9a1c-4eb3-819d-02f116fa2308 · outbound

This paper cites RDF graph sum- marization for first-sight structure discovery,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models RDF graph sum- marization for first-sight structure discovery,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.449279Z

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 a636b16b-d798-4b20-8354-a28c1757c8ea · outbound

This paper cites Summarizing relational databases,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Summarizing relational databases,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.440845Z

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 e6d9b107-fa7f-4e53-88c9-112251321482 · outbound

This paper cites Schema inference for property graphs,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Schema inference for property graphs,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.432681Z

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 1d82cc86-d24d-4f1f-9e0e-a9f26b5574f9 · outbound

This paper cites Inferring XML schema definitions from XML data,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Inferring XML schema definitions from XML data,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.424282Z

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 6a03fa46-c408-44ed-8670-43bf533e7903 · outbound

This paper cites Inference of concise regular expressions and dtds,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Inference of concise regular expressions and dtds,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.415789Z

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 352acba2-0775-4652-80b9-05ad39fd5851 · outbound

This paper cites Para- metric schema inference for massive JSON datasets,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Para- metric schema inference for massive JSON datasets,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.407325Z

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 194f1182-170d-4e02-9e31-5e7725898d81 · outbound

This paper cites An approach for schema extraction of JSON and extended JSON document collections,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models An approach for schema extraction of JSON and extended JSON document collections,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.398940Z

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 b48248b6-eec7-4eca-a518-fa65973a3998 · outbound

This paper cites Schema discovery in RDF data sources,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Schema discovery in RDF data sources,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.390581Z

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 655f0f8e-74de-4343-912b-ed3633d5ab66 · outbound

This paper cites Computing generic abstractions from application datasets,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Computing generic abstractions from application datasets,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.382311Z

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 251a2401-53e6-4ba5-9f18-94376cdfbb7e · outbound

This paper cites Incremental schema integration for data wrangling via knowledge graphs,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Incremental schema integration for data wrangling via knowledge graphs,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.373706Z

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 adc5f047-8d77-49ca-9ea5-15a61023afd4 · outbound

This paper cites Integrating data lake tables,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Integrating data lake tables,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.365615Z

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 006325bb-f7fe-4e7b-a7cb-997b1976cf1c · outbound

This paper cites Enhancing domain modeling with pre-trained large language models: An automated assistant for domain modelers,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Enhancing domain modeling with pre-trained large language models: An automated assistant for domain modelers,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.357489Z

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 4814252d-4f98-45b0-916d-d94131ee280f · outbound

This paper cites Appli- cation of the tree-of-thoughts framework to llm-enabled domain modeling,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Appli- cation of the tree-of-thoughts framework to llm-enabled domain modeling,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.348574Z

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 a87ab3c9-8c30-429e-81c9-00836f868362 · outbound

This paper cites Taxonomy inference for tabular data using large language models,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Taxonomy inference for tabular data using large language models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.340212Z

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 38452a2d-f2a4-481c-8015-0900d632366b · outbound

This paper cites End-to-end ontology learning with large language models,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models End-to-end ontology learning with large language models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.331676Z

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 baa314d9-bd9b-4173-8a3b-a9e5407b77e8 · outbound

This paper cites Chorus: Foundation models for unified data discovery and exploration,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Chorus: Foundation models for unified data discovery and exploration,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.322633Z

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 9c222db7-1ead-4752-8e5d-d51f2014deaa · outbound

This paper cites Quantifying lan- guage models’ sensitivity to spurious features in prompt design or: How i learned to start worrying about prompt formatting,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Quantifying lan- guage models’ sensitivity to spurious features in prompt design or: How i learned to start worrying about prompt formatting,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.313490Z

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 5d791f5a-4d74-4118-aba0-782d24d7c14c · outbound

This paper cites Self-refine: iterative refinement with self-feedback,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Self-refine: iterative refinement with self-feedback,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.304637Z

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 55766243-c502-4233-aa5f-1c844af44d25 · outbound

This paper cites Matching web tables to dbpedia - a feature utility study,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Matching web tables to dbpedia - a feature utility study,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.296298Z

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 cdef0108-c850-4e96-9a5f-851dff43aed3 · outbound

This paper cites The webdatacommons microdata, rdfa and microformat dataset series,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models The webdatacommons microdata, rdfa and microformat dataset series,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.287780Z

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 b4b314e7-6e7a-47ee-bf5b-f199a7647f48 · outbound

This paper cites Google dataset search: Building a search engine for datasets in an open web ecosystem,.

Conceptual Schema Inference for Tabular Datasets using Large Language Models Google dataset search: Building a search engine for datasets in an open web ecosystem,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T06:00:25.278282Z

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

Observation 6b71cfde-c749-4f02-9c56-b5ba3a78be22 · inbound