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Paper Citation Record · LEDGER

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine

As of 17 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2412.14771.

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

pith.paper-citation-record.v1
2412.14771 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:58:36.469168Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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 exact2
  • verified fuzzy2
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa4713a0-b792-4fc7-8365-7e6ae168f35b · outbound

This paper cites GPT-4 Technical Report.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.314579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.314579Z digest=sha256:f765a5a2f0084c443788e7038c0937b0b46530a7abca75b0ee54b4fb30738946

Observation 37eb92c5-1895-45d7-806e-03413bfacb01 · outbound

This paper cites InternLM-Law: An Open Source Chinese Legal Large Language Model.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine InternLM-Law: An Open Source Chinese Legal Large Language Model

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.358749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.358749Z digest=sha256:c5990f861ec7aec3ac6f4d2da606aca40c861706693b4e12ad852fc45c030cd6

Observation da5b8eae-ee06-4a65-9293-dd0a6dcb88e4 · outbound

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

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.363251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.363251Z digest=sha256:4e4de70faa55111e598938348b6325d336aa54665cd769f65e9374da8d81cc9e

Observation 7ea6a52d-0519-44e4-b92c-d2e206362d7c · outbound

This paper cites Zero- and Few-shot Named Entity Recognition and Text Expansion in Medication Prescriptions using ChatGPT.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine Zero- and Few-shot Named Entity Recognition and Text Expansion in Medication Prescriptions using ChatGPT

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:58:36.718428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T11:58:36.367802Z digest=sha256:63143b8cef6f253b6bc2dd061d6fd5d89751f912e789f8d90aa7ed8ff9dbf871

Observation 90babf4d-787c-4953-bef6-d13179e3a0af · outbound

This paper cites Fine-tuning and Utilization Methods of Domain-specific LLMs.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine Fine-tuning and Utilization Methods of Domain-specific LLMs

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.372258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.372258Z digest=sha256:a3cb1399e9bdb5d2c422f9e3db7cfea7677bddf69198a10e781b18fc1eef71bc

Observation 467ed9a8-2b33-45e8-95b4-1e550179b36b · outbound

This paper cites Mistral 7B.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine Mistral 7B

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.377206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.377206Z digest=sha256:7b6191e2c06116665be9b9638dc6407e27494a32e7b6c8b0a6a0196c1acf1c0a

Observation e19a47c1-3a57-47e5-ab8d-2b4b0349ed49 · outbound

This paper cites Juru: Legal Brazilian Large Language Model from Reputable Sources.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine Juru: Legal Brazilian Large Language Model from Reputable Sources

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:58:36.665729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T11:58:36.381760Z digest=sha256:a76bdbda310df1dbd048d1401b7f9dbb2785b253782eaffb22214e1e697b3424

Observation 1ab32130-72be-4b0a-ad93-5dd873ee73ab · outbound

This paper cites AraFinNLP 2024: The First Arabic Financial NLP Shared Task.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine AraFinNLP 2024: The First Arabic Financial NLP Shared Task

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.390642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.390642Z digest=sha256:d5bef3c99f629f61f603c74161aee5c9bd33a825b5015cc4b4e42b16c654b194

Observation 54b34a5c-c650-4b19-8a97-a0cd817fb40f · outbound

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

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine Better Call GPT, Comparing Large Language Models Against Lawyers

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.395561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.395561Z digest=sha256:4fc47af274028a44722d5a05f436e8452da7056e69ca86e68134040cabb00a0b

Observation 1183666d-40b1-42f6-a29d-aba1ff7fcc5b · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine LLaMA: Open and Efficient Foundation Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.404810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.404810Z digest=sha256:865afc86cce4f953472637f5575c22181ab4fd146241f99897f30b3bd6b5a4f4

Observation 3129f032-effe-4af3-9790-0bddb917337a · outbound

This paper cites Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.409123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.409123Z digest=sha256:1d07bdb0aeee922b4d7594e96412afded4e21f6ea0e0094e7ce2e6602d90287b

Observation 277172b3-0f81-4672-97dc-ac1518a087a7 · outbound

This paper cites EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.421147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.421147Z digest=sha256:0b890f6407bd821a3316efd9716c8893257700a9b21aaa1d83893fccf84c02c8

Observation 1fbb77fc-8328-4c74-bc37-d3d6d4dc7bba · outbound

This paper cites A Continued Pretrained LLM Approach for Automatic Medical Note Generation.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.469168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.469168Z digest=sha256:1110085df2d0c59d92b9c9b5e7149cd956fb39d80dc234d3197c361063dcfc40

Observation 68ed12a3-e8a6-497a-8450-fede1399603d · outbound

This paper cites Faixid: A framework for enhancing ai explainability of intrusion detection results using data cleaning techniques.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine Faixid: A framework for enhancing ai explainability of intrusion detection results using data cleaning techniques

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:58:36.843183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T11:58:36.386282Z digest=sha256:ed2edccef9ed0f22b087c544800b7c074153ef2e320e80435d54f6c5cf4a9e1c

Observation 0e77b3b0-8f3b-43b4-9db1-5f996601cad7 · outbound

This paper cites The Llama 3 Herd of Models.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine The Llama 3 Herd of Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.353990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.353990Z digest=sha256:a039a17fffee2b662bf8aef3442f62708273cc9f29b4c3d30bb988cb230bd69c

Observation 21bee9f1-1e65-4ee4-acb2-ba7efb9afa32 · outbound

This paper cites SaulLM-7B: A pioneering Large Language Model for Law.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine SaulLM-7B: A pioneering Large Language Model for Law

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.349032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.349032Z digest=sha256:a296ef15200978a4dcb7a70e94feef039a686d3792c6074b9753a7c91c6b2711

Observation 85a3d0a6-4c66-46b0-a662-0aee8bb76399 · outbound

This paper cites The Falcon Series of Open Language Models.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine The Falcon Series of Open Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:36.343830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:58:36.343830Z digest=sha256:73cbf22d8b23fa64a74bc5d1504059872e446c7fbd72ddb4b180fe78e15357be

Observation 89866b58-4df8-464a-9378-bde95b152318 · outbound

This paper cites Topics, authors, and institutions in large language model research: Trends from 17k arxiv papers.

ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine Topics, authors, and institutions in large language model research: Trends from 17k arxiv papers

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:58:36.828356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T11:58:36.400183Z digest=sha256:6b7037976debd38c7dde1adece0799c2d722b47da57cf69413787bc4cf41d783

Pith citing papers

No inbound Pith citation observations are available.