Pith. sign in

Paper Citation Record · LEDGER

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2508.12682.

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

pith.paper-citation-record.v1
2508.12682 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:22:37.135842Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f1e5e23-4118-49f2-899a-2d46cc69bed6 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.024695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.024695Z digest=sha256:40017ff5c9250c565c4f8106fe868f24455b62caf4cd5547ba688a03605f28f9

Observation d9ad7983-53ad-4e0b-b7c4-878af340d97b · outbound

This paper cites write newline.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.029416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.029416Z digest=sha256:fe2ec3addd612236af8921989785b2df26bd02ca37020de4c913d4201f81e41c

Observation de9ac8dc-e7b8-4ff9-8b2c-c9d7b6339bb5 · outbound

This paper cites Grid Code Reinforcements for Deeper Renewable Generation in Insular Energy Systems.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Grid Code Reinforcements for Deeper Renewable Generation in Insular Energy Systems

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:37.519092Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.033975Z digest=sha256:0b8272f24ae10f04f16ec73e567ff9deff97b336cac1424650f4e80640c53b1c

Observation 1b581fe9-34ad-40d6-8295-42181223b068 · outbound

This paper cites Renewables Integration on Islands.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Renewables Integration on Islands

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:37.499398Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.038322Z digest=sha256:7a973d7695f92757d05b981140b8fcf016eed63b64a219aab9367e5ddc643516

Observation 33bf3848-5f8a-413f-ab22-c678019ee0e4 · outbound

This paper cites Introducing ChatGPT.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Introducing ChatGPT

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:37.475617Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.042953Z digest=sha256:a352e626f9553a26f6bb179707cabb4f592432ef670404257fbd7365634ea90f

Observation b9f2eae5-6a77-4d1c-bf85-7dacc2db88df · outbound

This paper cites RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.047043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.047043Z digest=sha256:1f2c1e5ea436f88b2b045914b4cc32286a423cde1c4261c1e1e4b30b4dad7b87

Observation 230c039e-df74-4d28-914e-a797c745d5c0 · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.051280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.051280Z digest=sha256:16db958bf50d7f3d76a51cdd42204403d3f0000d97f8c8fc9e0ff9d8c50e633a

Observation 262b8cbe-d526-49ea-9253-7b055056b22d · outbound

This paper cites Linq-Embed-Mistral Technical Report.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Linq-Embed-Mistral Technical Report

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.054991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.054991Z digest=sha256:fc2eaed2840fc01e230857985f1052d3208262d03bfccafa9136973f1a5f1a28

Observation 5db3fa37-aa39-4c0e-87e5-76cea1619266 · outbound

This paper cites A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.058991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.058991Z digest=sha256:525b6d141cad3e7b23ddc3e176466d6865918275be50d6a77ed51167601de643

Observation 1bd30ceb-e07e-4901-aa6d-83837b790217 · outbound

This paper cites Precise Zero-Shot Dense Retrieval without Relevance Labels.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Precise Zero-Shot Dense Retrieval without Relevance Labels

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.063518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.063518Z digest=sha256:0c123b5ece3e1e85702a27c8f0e3f07147b43cd4637b3699428ebdd6efde97ca

Observation 003abf74-b306-425a-93ef-879bd478d94b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.068173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.068173Z digest=sha256:c97dc5e65c7c92bcdac768f83212e3d2885afbb7c3a3c6b8eeca99ba54501172

Observation acdd13ab-2aa2-4ebf-8909-6e0f14b0915a · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.072551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.072551Z digest=sha256:8dfee2ede733799a2b07fae69ed3d018495904f434d6edbe082d8aa57d091aa6

Observation 18f1a9cf-0336-4c02-8f52-01b9dc57c984 · outbound

This paper cites an unresolved cited work.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:37.459934Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.076648Z digest=sha256:153b69c9c3f9574d3615f3c562179f6dd22e9ad0c8414aaf78cf2ab5157383f4

Observation fb268e18-f620-466b-acdd-6baf2e56fa18 · outbound

This paper cites Fine Tuning LLM for Enterprise: Practical Guidelines and Recommendations.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Fine Tuning LLM for Enterprise: Practical Guidelines and Recommendations

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.080427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.080427Z digest=sha256:a7323034f6f7ce3dc16b681154f55d86c6b14f4c6391b05a3f00b68e04dc3817

Observation 84722db1-029d-43af-afb9-c853236495d3 · outbound

This paper cites an unresolved cited work.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:37.443191Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.084405Z digest=sha256:87f2f7d485904b7eac2fe114835c3ccd8466c1b85d04f47771bda524396515d2

Observation 4dc1d3ac-ff0a-453b-bebf-f2bb587a1c00 · outbound

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

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.088023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.088023Z digest=sha256:7adc4f6b6f588324b985a6a0f42d1757731bba51d05c8c5615e96007e8766a90

Observation 6d329ef0-9c36-43fc-ba9a-b56a6f1b4e6f · outbound

This paper cites an unresolved cited work.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:37.426763Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.091993Z digest=sha256:cfbdfb28af32dccbb2e56f38959c8e0c4968ebaf4323369719a45549017daaac

Observation cdb96579-389d-4dc0-ad05-be5b37f18e26 · outbound

This paper cites an unresolved cited work.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:37.412199Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.095768Z digest=sha256:0a5697a4897964cec864b855bc75bcbca1f69c945e9434db743c1ac1f6e50a05

Observation c462b478-a22b-4efe-902d-73a332bca474 · outbound

This paper cites Large Language Models: A Survey.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Large Language Models: A Survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.099482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.099482Z digest=sha256:48d63b82d0116bd1724851fe0a033811302124da9d73202f6d52800810965ae1

Observation ca6e1064-f2b0-4192-ba4a-e62565b7116c · outbound

This paper cites an unresolved cited work.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:37.396286Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.103401Z digest=sha256:b5c8a68d0489e3a6bdf88d977636547f867bf23c5fd770fa6f8c1eb87c8b7c5c

Observation f89a8f07-9150-44b5-bc7c-5a7fc87ce13d · outbound

This paper cites V.; Bakirtzis, E.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance V.; Bakirtzis, E

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:37.380053Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.108038Z digest=sha256:a628bde0149bc63e2174f1bad5b440f136e7c7240ebfe1c2d11cb5f7362581a5

Observation fd13b572-bfda-4404-9a51-0661e8528631 · outbound

This paper cites GPT-4 Technical Report.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance GPT-4 Technical Report

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.111693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.111693Z digest=sha256:772e98e1c29dbf0e16c224a4ab1d3bf5bbc8e18bdd67de43854da727f461aa83

Observation b4accd1d-2bba-4d13-b733-5b0ef6816ef1 · outbound

This paper cites an unresolved cited work.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:37.366367Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.115557Z digest=sha256:3b262958d30104c4c7dba3e2a5740d8999608c6c4276eda7a2220c1190d780d3

Observation 2e483250-07c5-4cd4-94c0-04df8c673f65 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Gemini: A Family of Highly Capable Multimodal Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.119726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.119726Z digest=sha256:5b32dd3c21c093f8150fdaf33a3875d09a93efbabec8fa7707808b16a659526f

Observation 24379547-1798-414e-b525-4f5bf6aa1842 · outbound

This paper cites K.; Vasquez, J.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance K.; Vasquez, J

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:37.352645Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.123458Z digest=sha256:a357bacdb5375a0de7bfa092b491167493d9c26574679bd676dcf3a7f734260e

Observation 9f20d167-b354-4abd-82fb-79d84a905b8f · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:37.126519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:37.126519Z digest=sha256:bd408b8440975d655b30352bf6f3fc698e7456ba2f2a3980122127f0022dfc03

Observation 0b540932-2a6b-4890-ae00-475cbdbe0dc4 · outbound

This paper cites an unresolved cited work.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:37.337881Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.130801Z digest=sha256:8a42559fb509be50d11777740869b1411d526f92dec5ebc5a3ec1d3947385e95

Observation 48320467-f553-484d-8176-b43322367840 · outbound

This paper cites an unresolved cited work.

GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:37.324519Z

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.

source=arxiv_source observed=2026-08-15T17:22:37.135842Z digest=sha256:7cb3d3f67a71c6199f35a940a8e6ce083c4aac0adc32839eca2ea8fa897f2b70

Pith citing papers

No inbound Pith citation observations are available.