Paper Citation Record · LEDGER

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction

As of 11 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.04893.

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

pith.paper-citation-record.v1
2507.04893 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:43:49.807116Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

45 of 45 outbound references displayed

verified exact2
verified fuzzy31
unresolved11
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eae76665-e008-438c-b2bb-692f6a309379 · outbound

This paper cites Cost of road accident fatalities to the economy,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Cost of road accident fatalities to the economy,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.890857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7e532460-71d7-474e-8050-89468a1dbeec · outbound

This paper cites Crash injury severity prediction considering data imbalance: A wasserstein generative adversarial network with gradient penalty approach,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Crash injury severity prediction considering data imbalance: A wasserstein generative adversarial network with gradient penalty approach,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.747816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ba798540-a470-465d-969e-251a4cf961ea · outbound

This paper cites BConvLSTM: a deep learning-based technique for severity prediction of a traffic crash,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction BConvLSTM: a deep learning-based technique for severity prediction of a traffic crash,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.619355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e4fab482-e069-47ed-889c-3cd93c2bb4a8 · outbound

This paper cites Crash severity analysis: A data- enhanced double layer stacking model using semantic understanding,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Crash severity analysis: A data- enhanced double layer stacking model using semantic understanding,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.488583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 90b4f4c3-bb76-4a5a-8bb7-848cc14a6708 · outbound

This paper cites Uncertainty-aware probabilistic graph neural networks for road-level traffic accident prediction,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Uncertainty-aware probabilistic graph neural networks for road-level traffic accident prediction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.363759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7ea70ce6-34e8-40ef-b4f4-9e61926ffc49 · outbound

This paper cites Analyzing crash severity: Human injury severity prediction method based on transformer model,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Analyzing crash severity: Human injury severity prediction method based on transformer model,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.206578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 983a2c46-4e98-4536-9358-565ec85da8ca · outbound

This paper cites The class imbalance problem in deep learning,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction The class imbalance problem in deep learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:56.039030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9efdf9a2-58bc-45aa-b46b-a27b4ec86e0a · outbound

This paper cites Deep neural networks and tabular data: A survey,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Deep neural networks and tabular data: A survey,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:55.907650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fc40f549-c565-45c9-80d7-29465a93baa3 · outbound

This paper cites Traffic accident severity prediction based on interpretable deep learning model,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Traffic accident severity prediction based on interpretable deep learning model,

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:43:50.374671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a5939e3c-f172-476c-a051-88e3d5943ce7 · outbound

This paper cites Interpretable traffic accident prediction: Attention spatial–temporal multi-graph traffic stream learning approach,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Interpretable traffic accident prediction: Attention spatial–temporal multi-graph traffic stream learning approach,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:55.749658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a6ba392e-d691-4cab-a227-f3e86d3d0296 · outbound

This paper cites RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:55.577045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 894c206d-764f-493e-860b-06746f389729 · outbound

This paper cites Explainable artificial intelligence (xai): Con- cepts, taxonomies, opportunities and challenges toward responsible ai,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Explainable artificial intelligence (xai): Con- cepts, taxonomies, opportunities and challenges toward responsible ai,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:55.453064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1a610a4f-123c-4366-b881-ad7fd00cf949 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Chain-of-thought prompting elicits reasoning in large lan- guage models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:55.284030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2176b65c-184d-4e6d-9755-27f4829dcff4 · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Self-consistency improves chain of thought reasoning in language models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:55.007259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f750a895-40e9-477c-81ad-e82b379d807a · outbound

This paper cites Hierarchical rein- forcement learning: A comprehensive survey,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Hierarchical rein- forcement learning: A comprehensive survey,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:54.745453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e66d2bca-f6e1-4aec-87ad-7ee7e6fca3f9 · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:54.528422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7fc31611-1643-498d-9c00-6e4d2f5975b0 · outbound

This paper cites A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:54.307962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d0564868-886f-42a2-a58c-08fe1be55ab3 · outbound

This paper cites Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:43:50.141195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf2c5258-0694-401c-a879-df56739ccc55 · outbound

This paper cites Teaching small language models to reason,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Teaching small language models to reason,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:54.094056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6145d682-dc7a-454c-bb0b-e5df2d9fae84 · outbound

This paper cites Symbolic chain-of-thought distillation: Small models can also “think.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Symbolic chain-of-thought distillation: Small models can also “think

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:53.854926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6e3e78a3-6ac1-44b9-b96d-0131b16ec1cf · outbound

This paper cites Distilling mathematical reasoning capabilities into small language models,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Distilling mathematical reasoning capabilities into small language models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:53.576329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 338872ee-3707-44db-8919-1ec0a37b29b2 · outbound

This paper cites Benchmarking multi-agent deep reinforcement learning algorithms in cooperative tasks,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Benchmarking multi-agent deep reinforcement learning algorithms in cooperative tasks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:53.291064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0b066d9b-c402-4a7e-8179-31ca5f2e7d55 · outbound

This paper cites A survey on multi-agent reinforcement learning and its application,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction A survey on multi-agent reinforcement learning and its application,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:53.056807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b88795d-ab84-4e16-922c-30376123038f · outbound

This paper cites Least-to-most prompting enables complex reasoning in large language models,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Least-to-most prompting enables complex reasoning in large language models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:52.822172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d0e5d446-d8d4-4c05-ac26-b69d34898afa · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Large Language Models are Zero-Shot Reasoners

Reference 25

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Source-reported events for the cited work

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Observation dc6b8380-9cd9-4931-b937-7365add1ffb3 · outbound

This paper cites Generative agents: Interactive simulacra of human be- havior,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Generative agents: Interactive simulacra of human be- havior,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:52.552733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d5ae38a4-3697-413d-9062-041523961dab · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:48.013009Z

Source-reported events for the cited work

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Observation 2e79dffe-74eb-44fd-bf49-5554e3b5a61c · outbound

This paper cites Least-to- most prompting enables complex reasoning in large language models,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Least-to- most prompting enables complex reasoning in large language models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:52.358928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d890be8c-0ce0-4046-ab17-4e2787b952de · outbound

This paper cites Graph of Thoughts: Solving Elaborate Problems with Large Language Models.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Reference 30

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Source-reported events for the cited work

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Observation b325720f-71da-45c9-9102-8ab1619ca3eb · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:48.300457Z

Source-reported events for the cited work

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Observation 91130369-6c84-4c90-9799-7328477315e6 · outbound

This paper cites Chain of Draft: Thinking Faster by Writing Less.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Chain of Draft: Thinking Faster by Writing Less

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:48.381491Z

Source-reported events for the cited work

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Observation 962c8aec-b98b-456b-86c4-d29dbf5e949e · outbound

This paper cites A Survey on LLM-as-a-Judge.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction A Survey on LLM-as-a-Judge

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:48.464478Z

Source-reported events for the cited work

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Observation be8eeb82-7e47-4a33-85a3-8f9ceb83d555 · outbound

This paper cites A literature review of machine learning algorithms for crash injury severity prediction,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction A literature review of machine learning algorithms for crash injury severity prediction,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:52.101135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 65350d57-cfd0-441d-9412-b4aca666cd65 · outbound

This paper cites Predicting multiple types of traffic accident severity with explanations: A multi-task deep learning frame- work,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Predicting multiple types of traffic accident severity with explanations: A multi-task deep learning frame- work,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:51.824480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9795068c-a95f-4260-b54a-4ac88b23f1ac · outbound

This paper cites Comparison of traffic accident injury severity prediction models with explainable machine learning,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Comparison of traffic accident injury severity prediction models with explainable machine learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:51.565958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df404e84-8805-4405-bbc0-4f22762335aa · outbound

This paper cites RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:51.307001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1049968b-8bdb-4d71-8b79-b13d102e3339 · outbound

This paper cites Deep neural networks and tabular data: A survey,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Deep neural networks and tabular data: A survey,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:51.103577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b9342740-0a1d-43f7-925b-4cf79615f84c · outbound

This paper cites Tabular Data: Deep Learning is Not All You Need.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Tabular Data: Deep Learning is Not All You Need

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:49.080953Z

Source-reported events for the cited work

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Observation 58c6dba7-699f-4340-a576-ed2557d38243 · outbound

This paper cites A survey on LLM- based multi-agent systems: workflow, infrastructure, and challenges,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction A survey on LLM- based multi-agent systems: workflow, infrastructure, and challenges,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:50.826748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15819a96-61de-4111-b37c-41c0e7a38ba0 · outbound

This paper cites Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:49.364096Z

Source-reported events for the cited work

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Observation bacc8dc5-64bf-4af5-b125-ef86484b47e7 · outbound

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

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Language models are few-shot learners,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:49.462141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a562a6c-d9aa-4b2d-a0c5-5c1d15a64369 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:49.596732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88e1fb03-c616-4b6d-b54a-a9670653dcf1 · outbound

This paper cites A Countrywide Traffic Accident Dataset.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction A Countrywide Traffic Accident Dataset

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:49.718924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ca6d8e4-701c-4ec1-9291-3a6b2e5c7052 · outbound

This paper cites UK Road Safety: Traffic Accidents and Vehicles,.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction UK Road Safety: Traffic Accidents and Vehicles,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:43:50.544349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3224e74a-3725-42b2-be60-2b690dea3ad4 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:48.159611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.