Paper Citation Record · LEDGER

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.15879.

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

pith.paper-citation-record.v1
2607.15879 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:07:29.532157Z

measured 40 of 40 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

40 of 40 outbound references displayed

verified exact0
verified fuzzy0
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f26eabb1-a2a8-438d-b5c6-78ba6776528e · outbound

This paper cites Ho.Benchmarking Legal RAG: The Promise and Limits of AI Statutory Surveys.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Ho.Benchmarking Legal RAG: The Promise and Limits of AI Statutory Surveys

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:24.982153Z

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Observation ee40cf26-6f69-40a3-96cf-fa6d6aa80111 · outbound

This paper cites Optimizing Legal Text Summarization Through Dynamic Retrieval- Augmented Generation and Domain-Specific Adapta- tion.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Optimizing Legal Text Summarization Through Dynamic Retrieval- Augmented Generation and Domain-Specific Adapta- tion

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:25.075239Z

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Observation cb721942-1336-48c6-8283-65ec80d8f412 · outbound

This paper cites Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:25.224741Z

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Observation 874289f3-2c0d-4fe8-9e43-211d50a719a8 · outbound

This paper cites What Matters in Corporate Governance?.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods What Matters in Corporate Governance?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:25.348179Z

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Observation feafd619-ae9e-4439-9915-6b7dc99073cb · outbound

This paper cites Longformer: The Long-Document Transformer.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Longformer: The Long-Document Transformer

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:25.538272Z

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Observation a6a974fe-8d05-4f84-9f7e-9ae138a5d690 · outbound

This paper cites Can GPT-3 Perform Statutory Reason- ing?.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Can GPT-3 Perform Statutory Reason- ing?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:25.699728Z

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Observation 83780c43-5371-4459-97be-93a69ffa56a4 · outbound

This paper cites Leveraging LLMs for Legal Terms Extraction with Limited Anno- tated Data.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Leveraging LLMs for Legal Terms Extraction with Limited Anno- tated Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:25.809356Z

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Observation 5840de3c-fad7-4451-878a-06fa3ad0ea11 · outbound

This paper cites Language Models are Few-Shot Learners.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Language Models are Few-Shot Learners

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:25.976503Z

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Observation d9c68c99-3412-4268-8f7c-857de3e0d148 · outbound

This paper cites LexGLUE: A Benchmark Dataset for Legal Language Understanding in English.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:26.129045Z

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Observation c656ee42-45e2-4faa-b614-66c337db54ff · outbound

This paper cites The Automatic Content Extraction (ACE) Program – Tasks, Data, and Evaluation.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods The Automatic Content Extraction (ACE) Program – Tasks, Data, and Evaluation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:26.264115Z

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Observation a6f94702-aedc-4c52-8af4-afe94bb55045 · outbound

This paper cites Asking GPT for the Ordinary Meaning of Statutory Terms.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Asking GPT for the Ordinary Meaning of Statutory Terms

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:26.418287Z

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Observation abe3982e-bb3f-422a-895f-f5fec3905aa7 · outbound

This paper cites Wash- ington University in St.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Wash- ington University in St

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:26.536921Z

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Observation b17181c7-522c-4f62-8c82-c654d50a18a5 · outbound

This paper cites Measuring Corporate Governance with Large Language Models.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Measuring Corporate Governance with Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:26.669620Z

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Observation cec5f485-a6f2-45a9-b1e2-a9787e388ea3 · outbound

This paper cites Cleaning Corporate Governance.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Cleaning Corporate Governance

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:26.810356Z

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Observation c70966ea-dbf3-485b-8c8b-ecff31f1b1a2 · outbound

This paper cites Sticky Charters? The Surprisingly Tepid Embrace of Officer-Protecting Waivers in Delaware.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Sticky Charters? The Surprisingly Tepid Embrace of Officer-Protecting Waivers in Delaware

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:26.960782Z

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Observation e63d282d-b8ad-413c-a54f-8a311ba79644 · outbound

This paper cites Text as Data.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Text as Data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:27.079244Z

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Observation 6019bda1-0fcb-4c7a-bda3-41da022d5cb1 · outbound

This paper cites Corpo- rate Governance and Equity Prices.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Corpo- rate Governance and Equity Prices

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:27.192757Z

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Observation 50a3806b-6e27-40d1-95b2-584a5405eed3 · outbound

This paper cites Text as Data: The Promise and Pitfalls of Automatic Content Anal- ysis Methods for Political Texts.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Text as Data: The Promise and Pitfalls of Automatic Content Anal- ysis Methods for Political Texts

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:27.304456Z

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Observation 64502ac0-155e-4083-9f36-59cc2125bd54 · outbound

This paper cites LEGALBENCH: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods LEGALBENCH: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:27.417564Z

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Observation e2d507eb-c751-453a-b39d-dc9d7a587842 · outbound

This paper cites Systematic Con- tent Analysis of Judicial Opinions.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Systematic Con- tent Analysis of Judicial Opinions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:27.531628Z

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Observation 7987677f-cad3-4629-997b-3df2415bdbb3 · outbound

This paper cites AI for Statutory Sim- plification: A Comprehensive State Legal Corpus and Labor Benchmark.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods AI for Statutory Sim- plification: A Comprehensive State Legal Corpus and Labor Benchmark

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:27.626464Z

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Observation 4b54ae93-4353-42ea-a8ed-68a621890543 · outbound

This paper cites CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:27.795279Z

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Observation 9c67ade6-b3d4-4520-a6dd-ed0c7426d206 · outbound

This paper cites an unresolved cited work.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:27.914059Z

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Observation 94ae5c01-ab8f-494b-b767-74c5ac5c3a60 · outbound

This paper cites Martin.Speech and Lan- guage Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recog- nition with Language Models.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Martin.Speech and Lan- guage Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recog- nition with Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:28.231997Z

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Observation 176f7603-9066-4bf9-b7e9-dc6fd294c3ce · outbound

This paper cites The Corporate Gover- nance Gap.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods The Corporate Gover- nance Gap

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:28.378614Z

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Observation 22f86f24-fddc-4853-993e-65e1d3ca0f06 · outbound

This paper cites Don’t Use a Cannon to Kill a Fly: An Efficient Cascading Pipeline for Long Documents.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Don’t Use a Cannon to Kill a Fly: An Efficient Cascading Pipeline for Long Documents

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:28.491926Z

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Observation 5805b549-c84c-4db8-9b84-94301c7169de · outbound

This paper cites Building a Long Text Privacy Policy Corpus with Multi-Class Labels.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Building a Long Text Privacy Policy Corpus with Multi-Class Labels

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:28.594571Z

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Observation e2b07d8d-24b1-4ec8-94e4-b3a2b5726fdb · outbound

This paper cites Better Call GPT, Comparing Large Language Models Against Lawyers.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Better Call GPT, Comparing Large Language Models Against Lawyers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:28.682572Z

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Observation fbe68f69-b1fa-48b8-814d-73921b4880d0 · outbound

This paper cites Distant supervision for relation extraction with- out labeled data.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Distant supervision for relation extraction with- out labeled data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:28.744674Z

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Observation 2a717773-4e2a-44c1-b8bf-f8efa4c48921 · outbound

This paper cites Stickiness and Incomplete Contracts.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Stickiness and Incomplete Contracts

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:28.828264Z

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Observation 077d1604-577c-45f0-95b9-adf3d71ca7f4 · outbound

This paper cites Survey on Legal Information Extraction: Current Status and Open Challenges.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Survey on Legal Information Extraction: Current Status and Open Challenges

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:28.919468Z

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Observation 900f08e7-54e1-44f3-b56a-d38390f1650d · outbound

This paper cites Snorkel: Rapid Training Data Creation with Weak Supervision.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Snorkel: Rapid Training Data Creation with Weak Supervision

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:29.005257Z

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Observation 507911a7-34f4-4820-b05f-25da37a571b1 · outbound

This paper cites Contracting Inno- vation.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Contracting Inno- vation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:29.086989Z

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Observation 8236dfc4-37a8-4d51-b774-3a4f705d64c4 · outbound

This paper cites Information Extraction.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Information Extraction

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:29.171606Z

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Observation 92c258fe-f227-449a-b06d-0aa9828df3b7 · outbound

This paper cites Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:29.234030Z

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Observation 15687f48-886e-43d6-9081-cff3720c9bcd · outbound

This paper cites LEDGAR: A Large-Scale Multilabel Corpus for Text Classification of Legal Provisions in Contracts.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods LEDGAR: A Large-Scale Multilabel Corpus for Text Classification of Legal Provisions in Contracts

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:29.310220Z

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Observation 2c7e4084-3712-447b-8f84-9f110b9ecbff · outbound

This paper cites SuperGLUE: A Stickier Bench- mark for General-Purpose Language Understanding Systems.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods SuperGLUE: A Stickier Bench- mark for General-Purpose Language Understanding Systems

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:29.391675Z

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Observation 1a39ecea-213d-4f06-ae2b-fe2bd86055bc · outbound

This paper cites GLUE: A Multi- Task Benchmark and Analysis Platform for Natural Language Understanding.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods GLUE: A Multi- Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:29.449839Z

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Observation 829f1bde-1b2f-41cc-bb89-b714476b9c45 · outbound

This paper cites Big Bird: Transformers for Longer Sequences.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Big Bird: Transformers for Longer Sequences

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:29.532157Z

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Observation 591a75ad-c162-4a0d-ac80-0c204259a67b · outbound

This paper cites CHANCERY: Evaluating Corporate Governance Reasoning Capabilities in Language Models.

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods CHANCERY: Evaluating Corporate Governance Reasoning Capabilities in Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T22:07:28.093248Z

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Pith citing papers

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