Paper Citation Record · LEDGER

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2507.10582.

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

pith.paper-citation-record.v1
2507.10582 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:20:22.584862Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

14 of 14 outbound references displayed

verified exact1
verified fuzzy7
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45ff022c-bf0c-40ba-adcb-8ff26b3f360e · outbound

This paper cites an unresolved cited work.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:20:22.943055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2306f27-855e-4aa1-99a1-1a242f17be50 · outbound

This paper cites Efficient es- timation of word representations in vector space.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Efficient es- timation of word representations in vector space

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:22.923715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e56ca477-a5ad-42d8-a014-a58cc0a62b6c · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:22.904163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c9dfdb8-a3ea-4339-a902-d9cb59828b5b · outbound

This paper cites Sentence-BERT: Sentence embeddings using Siamese BERT-networks.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Sentence-BERT: Sentence embeddings using Siamese BERT-networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:22.882049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f334bd01-9ae6-424d-b8b1-69add7f43bc4 · outbound

This paper cites Natural language processing for social science research: A comprehensive review.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Natural language processing for social science research: A comprehensive review

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:22.861013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d75dbcb-c538-4712-8d12-179df3a50a6d · outbound

This paper cites Dense passage retrieval for open-domain question answering.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Dense passage retrieval for open-domain question answering

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:22.499971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b57a8b-bd1b-4393-a421-8ffc7a34391c · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:22.506799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c492cfd-6552-4212-8ce9-c488ae2400c0 · outbound

This paper cites Information Leakage in Embedding Models.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Information Leakage in Embedding Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:20:22.742845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 57b138e3-b806-41da-9d28-48b44564397f · outbound

This paper cites Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:22.524627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97e7af8e-163e-4a84-8365-5f7367e86ea7 · outbound

This paper cites Text Embeddings Reveal (Almost) As Much As Text.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Text Embeddings Reveal (Almost) As Much As Text

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:22.533944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00783561-9209-4a08-b94b-24244ba980f8 · outbound

This paper cites Does bert pretrained on clinical notes reveal sensitive data? In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2021.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Does bert pretrained on clinical notes reveal sensitive data? In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2021

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:22.831415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6fbfc2cd-77d1-4f49-83f4-182f9be9cff2 · outbound

This paper cites Stanza: A Python natural language processing toolkit for many human languages.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Stanza: A Python natural language processing toolkit for many human languages

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:22.804940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd7d34c4-4b28-4981-ae2b-4f5931f55e8b · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:22.565221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 115d0168-e181-4742-91dc-2db8eb98247e · outbound

This paper cites Increased risk of death immediately after dis- charge from compulsory care for substance abuse.

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Increased risk of death immediately after dis- charge from compulsory care for substance abuse

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:22.782997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.