Paper Citation Record · LEDGER

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2504.12545.

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

pith.paper-citation-record.v1
2504.12545 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:31:36.302485Z

measured 33 of 33 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:28:57.524588Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact2
verified fuzzy21
unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd157bb9-46e1-4de1-b6f3-f6375b8527aa · outbound

This paper cites Advancing Legal Reasoning: The Integration of AI to Navigate Complexities and Biases in Global Jurisprudence with Semi-Automated Arbitration Processes (SAAPs).

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Advancing Legal Reasoning: The Integration of AI to Navigate Complexities and Biases in Global Jurisprudence with Semi-Automated Arbitration Processes (SAAPs)

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:31:36.596511Z

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.

Observation 56c17670-46d5-470f-8928-8f31d8096c00 · outbound

This paper cites Artificial intelligence use in criminal investigations gains traction,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Artificial intelligence use in criminal investigations gains traction,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:31:36.892024Z

Source-reported events for the cited work

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Observation 123d9ff0-1e4d-4f59-ab6b-dae86205fb94 · outbound

This paper cites A survey on knowledge graphs: Representation, acquisition, and appli- cations,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice A survey on knowledge graphs: Representation, acquisition, and appli- cations,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:31:36.878642Z

Source-reported events for the cited work

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Observation 64c21019-e564-43c8-acf0-eca2d876276b · outbound

This paper cites From data to knowledge: Building a single source of truth,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice From data to knowledge: Building a single source of truth,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:31:36.865341Z

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Observation fea74699-f225-4b37-a879-504142b00653 · outbound

This paper cites GPT-NER: Named Entity Recognition via Large Language Models.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice GPT-NER: Named Entity Recognition via Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:31:36.184286Z

Source-reported events for the cited work

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Observation 0d67d2b3-4ba1-4892-be42-1e3463d7d9a9 · outbound

This paper cites Knowledge graph enhanced neural machine translation via multi-task learning on sub-entity granularity,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Knowledge graph enhanced neural machine translation via multi-task learning on sub-entity granularity,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:31:36.852215Z

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Observation 69483fc9-ff80-4dfa-b072-c70af2aa2b4f · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:31:36.193807Z

Source-reported events for the cited work

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Observation bcc9406e-8b0d-40fb-8b5e-a0b84d40f094 · outbound

This paper cites Study highlights need for public health approach in news coverage of gun violence,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Study highlights need for public health approach in news coverage of gun violence,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:31:36.838666Z

Source-reported events for the cited work

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Observation cf04540f-f5ed-44e2-863c-403edfef6052 · outbound

This paper cites Named entity recognition: A literature survey,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Named entity recognition: A literature survey,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:31:36.811632Z

Source-reported events for the cited work

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Observation 9cd30373-21ce-47a3-b0a7-6ff141acfeca · outbound

This paper cites A Survey on Prompting Techniques in LLMs.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice A Survey on Prompting Techniques in LLMs

Reference 10

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Source-reported events for the cited work

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Observation 9ef1d99b-3f68-45d2-8ad2-8c44fdf8b34a · outbound

This paper cites Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4

Reference 11

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Observation 23d5b561-3e57-4ccc-ab8a-4318b67bc725 · outbound

This paper cites Chatgpt-3.5: An overview and limitations,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Chatgpt-3.5: An overview and limitations,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:31:36.797990Z

Source-reported events for the cited work

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Observation 136ae497-9177-4172-8b87-a499b9d3b4f8 · outbound

This paper cites Chatgpt-4o vs o1-mini: A comparison,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Chatgpt-4o vs o1-mini: A comparison,

Reference 13

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Observation 9277cc63-3bfb-483d-b8ff-79e035b1aafc · outbound

This paper cites Openai’s new o1 and o1-mini models: What you need to know,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Openai’s new o1 and o1-mini models: What you need to know,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:31:36.742819Z

Source-reported events for the cited work

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Observation 1ec4445c-00e2-40b6-ad60-50f569cdbec5 · outbound

This paper cites Gpt-4 — Wikipedia, the free ency- clopedia,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Gpt-4 — Wikipedia, the free ency- clopedia,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:31:36.728017Z

Source-reported events for the cited work

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Observation a93e4c70-2239-49d8-87d8-94b96c62d6e7 · outbound

This paper cites Successive Prompting for Decomposing Complex Questions.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Successive Prompting for Decomposing Complex Questions

Reference 16

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Observation ae52ffe3-d43f-4c4f-9532-f63bdab1707b · outbound

This paper cites A Survey on Efficient Training of Transformers.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice A Survey on Efficient Training of Transformers

Reference 17

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Source-reported events for the cited work

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Observation 806902d4-21e1-4d8e-a47d-323b30ecf673 · outbound

This paper cites Mobilebert: Task-agnostic compression of bert by progressive knowledge transfer,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Mobilebert: Task-agnostic compression of bert by progressive knowledge transfer,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:31:36.710782Z

Source-reported events for the cited work

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Observation 392c1be8-c624-4ec2-8530-efee56cc7a57 · outbound

This paper cites Making Pre-trained Language Models Better Few-shot Learners.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Making Pre-trained Language Models Better Few-shot Learners

Reference 19

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Observation 5a7752d9-7249-4d87-8d3a-8b7e9cbf2719 · outbound

This paper cites Prompt Engineering a Prompt Engineer.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Prompt Engineering a Prompt Engineer

Reference 20

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Observation 3cc7bce9-cca7-4042-b856-2d6c789a3c6d · outbound

This paper cites A survey on deep learning for named entity recognition,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice A survey on deep learning for named entity recognition,

Reference 21

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Observation 8828d337-4ad8-4050-adf8-0a16da7f90fe · outbound

This paper cites Staying in control of technology: predictive policing, democracy, and digital sovereignty,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Staying in control of technology: predictive policing, democracy, and digital sovereignty,

Reference 22

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Observation 39e716eb-1ff9-4366-81cd-cefeaf36a03f · outbound

This paper cites Legal case classification using machine learning with nlp,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Legal case classification using machine learning with nlp,

Reference 23

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Observation 00e0c877-211c-47f9-8e86-a078102fbe3b · outbound

This paper cites Language models are few-shot learners,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Language models are few-shot learners,

Reference 24

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Observation 2fef3df6-b0aa-4f3e-9359-e3401dd1e3ec · outbound

This paper cites Artificial intelligence and bias: Challenges, implica- tions, and remedies.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Artificial intelligence and bias: Challenges, implica- tions, and remedies

Reference 25

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Observation 6d0d71fd-5801-4638-bf1f-7b7614629588 · outbound

This paper cites Reformulating domain adaptation of large language models as adapt-retrieve-revise: A case study on Chinese legal domain,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Reformulating domain adaptation of large language models as adapt-retrieve-revise: A case study on Chinese legal domain,

Reference 26

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Observation 9c83d1e9-3d4d-4ea6-a821-3db6739793fa · outbound

This paper cites Ai approaches to predictive justice: A critical assessment,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Ai approaches to predictive justice: A critical assessment,

Reference 27

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Observation 7760a02e-a83a-4417-be85-7596e33146f7 · outbound

This paper cites Large Language Models are legal but they are not: Making the case for a powerful LegalLLM.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Large Language Models are legal but they are not: Making the case for a powerful LegalLLM

Reference 28

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Observation d6410fa3-23bb-4bcd-8e4c-c080fc531d42 · outbound

This paper cites Uniform Crime Reporting (UCR) Program Data: Offenses Known and Clearances by Arrest, 2023,.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Uniform Crime Reporting (UCR) Program Data: Offenses Known and Clearances by Arrest, 2023,

Reference 29

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This paper cites Available: https://journalistsresource.org/home/ study-highlights-need-for-public-health-approach-in-news \ -reporting-of-gun-violence/.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Available: https://journalistsresource.org/home/ study-highlights-need-for-public-health-approach-in-news \ -reporting-of-gun-violence/

Reference 2018

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Observation d8dc0106-a753-484c-b34f-e25c574b90d0 · outbound

This paper cites Available: https://www.blocshop.io/blog/ chatgpt3-5-limitations?utm source=chatgpt.com.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Available: https://www.blocshop.io/blog/ chatgpt3-5-limitations?utm source=chatgpt.com

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:31:36.784636Z

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Observation 8ac7770d-c441-4986-9a3d-3d6bf9d54592 · outbound

This paper cites Available: https://aimlapi.com/comparisons/ chatgpt-4o-vs-o1-mini.

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Available: https://aimlapi.com/comparisons/ chatgpt-4o-vs-o1-mini

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:31:36.756867Z

Source-reported events for the cited work

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Pith citing papers

Observation 372c5abc-a292-4b37-9a45-c529afd22c4e · inbound

Named-Entity Recognition in the Crime Domain (CrimeNER): Case Study and Dataset cites this paper.

Named-Entity Recognition in the Crime Domain (CrimeNER): Case Study and Dataset Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice

Reference 15

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Source-reported events for the cited work

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