Paper Citation Record · LEDGER

Retrieval Augmented Classification for Confidential Documents

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2604.08628.

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

pith.paper-citation-record.v1
2604.08628 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:36:45.173113Z

measured 25 of 25 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

25 of 25 outbound references displayed

verified exact4
verified fuzzy19
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f8b13d5-86fb-42a0-8cd5-860a28571de9 · outbound

This paper cites 2025 h1 data breach report.

Retrieval Augmented Classification for Confidential Documents 2025 h1 data breach report

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.452797Z

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 e0c4f776-a357-4fd7-b76c-0dd52f3e59ef · outbound

This paper cites Cost of a data breach report 2024.

Retrieval Augmented Classification for Confidential Documents Cost of a data breach report 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.442799Z

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 2a277775-33b2-4163-976c-e09edb4ce281 · outbound

This paper cites What is Document Classification?.

Retrieval Augmented Classification for Confidential Documents What is Document Classification?

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.376935Z

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 047437a6-d3e1-460d-89f9-8d14b0efc99b · outbound

This paper cites Data protection challenges in the processing of sensitive data.

Retrieval Augmented Classification for Confidential Documents Data protection challenges in the processing of sensitive data

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.380600Z

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 a46915b6-6188-49b7-805a-94d20a74b67a · outbound

This paper cites Large Language Models for Imbalanced Classification: Diversity makes the difference.

Retrieval Augmented Classification for Confidential Documents Large Language Models for Imbalanced Classification: Diversity makes the difference

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-09T03:07:04.959484Z

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 c11f83e4-cdc5-4e55-8cea-3547f64d38ba · outbound

This paper cites Understanding the effects of language-specific class imbalance in multilingual fine-tuning.

Retrieval Augmented Classification for Confidential Documents Understanding the effects of language-specific class imbalance in multilingual fine-tuning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:31:00.958076Z

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 0864524e-d6bf-4514-85ea-eb5083e59367 · outbound

This paper cites On protecting the data privacy of Large Language Models (LLMs) and LLM agents:A literature review.

Retrieval Augmented Classification for Confidential Documents On protecting the data privacy of Large Language Models (LLMs) and LLM agents:A literature review

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.398949Z

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 b887dbac-e840-46ea-b987-6faad8a23431 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Retrieval Augmented Classification for Confidential Documents Training Compute-Optimal Large Language Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-11T06:31:00.947477Z

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 6bf5a70f-4953-44c7-b048-3860ed08d01d · outbound

This paper cites Retrieval - augmented generation for knowledge - intensive NLP tasks.

Retrieval Augmented Classification for Confidential Documents Retrieval - augmented generation for knowledge - intensive NLP tasks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.402751Z

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 e5fb0d93-8b0e-4183-8a15-82f3dedfc4ce · outbound

This paper cites Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration.

Retrieval Augmented Classification for Confidential Documents Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:31:00.937062Z

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 d870a287-ad97-47fc-be4d-8f4097d98dc0 · outbound

This paper cites Imbalanced dataset classification and solutions: a review.

Retrieval Augmented Classification for Confidential Documents Imbalanced dataset classification and solutions: a review

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.449776Z

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 3d2600cd-b6ef-4b5d-bf89-ed641d928f3c · outbound

This paper cites Measuring the Value Of Information -An Asset Valuation Approach.

Retrieval Augmented Classification for Confidential Documents Measuring the Value Of Information -An Asset Valuation Approach

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.383935Z

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 e6b2aa85-0c5f-495a-acab-e2f46410dbb9 · outbound

This paper cites Prompt -Based Generation Strategy for Imbalanced Information Security Rating Dataset Augmentation.

Retrieval Augmented Classification for Confidential Documents Prompt -Based Generation Strategy for Imbalanced Information Security Rating Dataset Augmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.391092Z

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 7eec1a33-ce5b-4d25-a006-7aee681dd0d2 · outbound

This paper cites DISC: A Dataset for Information Security Classification.

Retrieval Augmented Classification for Confidential Documents DISC: A Dataset for Information Security Classification

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.439113Z

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 cce818b1-a723-45e0-a034-ae65ef24b335 · outbound

This paper cites “In -context retrieval - augmented language models.“ Transactions of the Association for Computational Linguistics, 11: 1316-1331.

Retrieval Augmented Classification for Confidential Documents “In -context retrieval - augmented language models.“ Transactions of the Association for Computational Linguistics, 11: 1316-1331

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.431066Z

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 15f5d7e1-4a81-40f5-8786-9bfdca90211d · outbound

This paper cites “Retrieval -augmented few-shot text classification“, In: Findings of the Association for Computational Linguistics: EMNLP, p.

Retrieval Augmented Classification for Confidential Documents “Retrieval -augmented few-shot text classification“, In: Findings of the Association for Computational Linguistics: EMNLP, p

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.394893Z

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 1b9a7f80-3033-4696-9448-51246bb0a279 · outbound

This paper cites Retrieval augmented classification for long-tail visual recognition.

Retrieval Augmented Classification for Confidential Documents Retrieval augmented classification for long-tail visual recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.421813Z

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 2acb3d59-89e3-4799-9e0d-415036d68743 · outbound

This paper cites [Online].

Retrieval Augmented Classification for Confidential Documents [Online]

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.387497Z

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 1c4ac7e7-b967-404c-bf25-9f9b57f58e37 · outbound

This paper cites an unresolved cited work.

Retrieval Augmented Classification for Confidential Documents Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-17T09:44:24.410126Z

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 8a860929-7efd-4916-acbf-72e4330f4e55 · outbound

This paper cites Available: https://www.kaggle.com/code/yilouislu/wi kileaks-cable-classifier.

Retrieval Augmented Classification for Confidential Documents Available: https://www.kaggle.com/code/yilouislu/wi kileaks-cable-classifier

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.414499Z

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 5f7024f2-2638-4d56-ab7a-f6653ab10e02 · outbound

This paper cites [Online].

Retrieval Augmented Classification for Confidential Documents [Online]

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.418192Z

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 75fbedfa-9338-4361-9b6e-91232b777098 · outbound

This paper cites Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs.

Retrieval Augmented Classification for Confidential Documents Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.427080Z

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 3baf3adf-05e1-48ab-881f-06b92d0370ca · outbound

This paper cites M3 -embedding: Multi-linguality, multi-functionality, multi- granularity text embeddings through self - knowledge distillation.

Retrieval Augmented Classification for Confidential Documents M3 -embedding: Multi-linguality, multi-functionality, multi- granularity text embeddings through self - knowledge distillation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.435223Z

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 a9cf33da-6412-46d3-9056-e52302c3c9df · outbound

This paper cites [Online], Available: https://github.com/unslothai/unsloth 7 Appendix.

Retrieval Augmented Classification for Confidential Documents [Online], Available: https://github.com/unslothai/unsloth 7 Appendix

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:44:24.446383Z

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 91fca737-374a-409b-8dff-ba7e4dd52ea5 · outbound

This paper cites an unresolved cited work.

Retrieval Augmented Classification for Confidential Documents Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-17T09:44:24.406592Z

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.