Paper Citation Record · LEDGER

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance

As of 8 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.24791.

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

pith.paper-citation-record.v1
2607.24791 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:42:49.752547Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60eb218e-d5a0-4d2d-a5cd-11f70159806d · outbound

This paper cites Retrieval- Augmented Generation for Knowledge- Intensive NLP Tasks,.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Retrieval- Augmented Generation for Knowledge- Intensive NLP Tasks,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.676084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44d49e11-1a32-4546-8f29-2cf4ed7651e0 · outbound

This paper cites Question -Based Retrieval Using Atomic Units for Enterprise RAG,.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Question -Based Retrieval Using Atomic Units for Enterprise RAG,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.681154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d864654-ec3d-4c48-925d-e721fe4d5ea4 · outbound

This paper cites Benchmarking LLMs for Environmental Review and Permitting.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Benchmarking LLMs for Environmental Review and Permitting

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.685666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11037d4a-4008-4086-a51c-4a5f9960a4ee · outbound

This paper cites Evaluating ChatGPT on Nuclear Domain-Specific Data.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Evaluating ChatGPT on Nuclear Domain-Specific Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.690596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39f9acc7-0283-4a13-9b79-2690232f9e7b · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts,.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Lost in the Middle: How Language Models Use Long Contexts,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.695220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90d518a5-d6d3-4bd2-b7a4-7b74025b981d · outbound

This paper cites Prompt Compression for Large Language Models: A Survey,.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Prompt Compression for Large Language Models: A Survey,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.699313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e268800-482e-431c-abf0-93b0b739e6dd · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models,.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.704241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbbbbe6a-df0b-406e-b335-6f3028177875 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools,.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Toolformer: Language Models Can Teach Themselves to Use Tools,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.708308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d90e1f4-aa75-438d-9839-5c28ffe55ff6 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models,.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance ReAct: Synergizing Reasoning and Acting in Language Models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.712386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecdf345f-e575-45a9-9ee5-e5c077362152 · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection,.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.716708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76a45171-a27f-43bc-bfed-6fbce8b59aba · outbound

This paper cites Interaction with Texts: Information Retrieval as Information-Seeking Behavior,.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Interaction with Texts: Information Retrieval as Information-Seeking Behavior,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.720944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7216b99-efff-4228-abec-ba5de4769500 · outbound

This paper cites Information Foraging,.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Information Foraging,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.725175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b66708d-297c-4b9d-b94a-ed3837556748 · outbound

This paper cites Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.729663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae6c16d-dbc1-4415-b788-8ad0353a6708 · outbound

This paper cites Enhancing Accuracy and Maintainability in Nuclear Plant Data Retrieval: A Function-Calling LLM Approach Over NL-to-SQL.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Enhancing Accuracy and Maintainability in Nuclear Plant Data Retrieval: A Function-Calling LLM Approach Over NL-to-SQL

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.734207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0589a018-6530-4b9b-a1d6-a484819711ec · outbound

This paper cites Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval- Augmented Generation,.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval- Augmented Generation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.738753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 091fcc7c-92a8-4818-b180-0b6762d831d6 · outbound

This paper cites Classification of Safety Events at Nuclear Sites using Large Language Models.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Classification of Safety Events at Nuclear Sites using Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.743000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1458f22-b45d-4279-9fd2-e5717e2a803a · outbound

This paper cites Automating equipment identification in nuclear engineering drawings.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Automating equipment identification in nuclear engineering drawings

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.747900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3bf0296-cce4-4bd0-9e07-b65e1952c3d2 · outbound

This paper cites Towards Secure and Private Language Models for Nuclear Power Plants.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Towards Secure and Private Language Models for Nuclear Power Plants

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T09:42:49.752547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.