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Paper Citation Record · LEDGER

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring

As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2603.26807.

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

pith.paper-citation-record.v1
2603.26807 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:29:48.070076Z

measured 29 of 29 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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Outbound references

Observation 9ccd072e-f811-471f-8715-e64107b06d15 · outbound

This paper cites Entity-based cross-document coreferencing using the vec- tor space model.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Entity-based cross-document coreferencing using the vec- tor space model

Reference 1

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source=pdf_text observed=2026-08-02T17:29:44.955303Z digest=sha256:88d1fedd21cb05fab45d80937e3eb23d126709b4f9aaba5167ed3909564485da

Observation aefeb88f-bcc4-4469-afcc-e4b4d3b893cb · outbound

This paper cites How the mind creates structure: Hierarchical learning of action sequences.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring How the mind creates structure: Hierarchical learning of action sequences

Reference 8

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source=pdf_text observed=2026-08-02T17:29:45.984315Z digest=sha256:467eee71169aa3a4ab1933278bf3e825e746c9fc6f5d3c6cc3d4ad95c9e1ea64

Observation 0ff72068-a1fc-4792-a867-91f1f6c758c5 · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 10

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source=pdf_text observed=2026-08-02T17:29:46.232905Z digest=sha256:b0177073689164279f15bbf271b231da4541b4b3db77bdedba6934e6563cb962

Observation fd3f5d82-cf75-42d2-a328-d5957805573e · outbound

This paper cites People construct simplified mental representa- tions to plan.Nature, 606(7912):129–136,.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring People construct simplified mental representa- tions to plan.Nature, 606(7912):129–136,

Reference 11

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source=pdf_text observed=2026-08-02T17:29:46.323676Z digest=sha256:b81332a1ec730f80354765acb1cf3efb3381757b5618a9830b9ef193b362de4d

Observation 9987dc12-2f38-4aac-a02b-d1b069e6aba5 · outbound

This paper cites Dis- tilling step-by-step! outperforming larger language mod- els with less training data and smaller model sizes.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Dis- tilling step-by-step! outperforming larger language mod- els with less training data and smaller model sizes

Reference 12

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source=pdf_text observed=2026-08-02T17:29:46.388012Z digest=sha256:9485f43d9985c4b00851250cf1cdb8dd1b77c88596197fb74798e552ba10d516

Observation 3a0364f5-c411-4112-8e73-c930b5813aa7 · outbound

This paper cites What dis- ease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421,.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring What dis- ease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421,

Reference 14

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source=pdf_text observed=2026-08-02T17:29:46.571026Z digest=sha256:ad17298b58f869c8d929fc125f4cd1f08efe85ea7b79f5fcb837b9b70845b05a

Observation 369e2f1f-2539-4606-b04d-e64c9f1b4f82 · outbound

This paper cites Disentangling Questions from Query Generation for Task-Adaptive Retrieval.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Disentangling Questions from Query Generation for Task-Adaptive Retrieval

Reference 15

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source=pdf_text observed=2026-08-02T17:29:46.641201Z digest=sha256:1b17dcbe25077d65b4381652c56c70f3758bddd98ce5c155754d5131bae1406b

Observation 130abfaa-9d8e-41f6-8117-44076906e27a · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural infor- mation processing systems, 33:9459–9474,.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural infor- mation processing systems, 33:9459–9474,

Reference 16

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source=pdf_text observed=2026-08-02T17:29:46.760693Z digest=sha256:d92c07759b08ead85a7a5e0c9b7302fbd7f3ee7f7790ad2da121dedbd58a3af1

Observation c58d77ad-bffc-4f86-a75f-1434e0203ced · outbound

This paper cites Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction

Reference 18

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source=pdf_text observed=2026-08-02T17:29:46.900535Z digest=sha256:d8fba19c35b107fddaecce1a3e9dd215d7315cbce117c6d433b2402bbbb756b5

Observation be2e3e1b-d07d-401c-820e-021881417166 · outbound

This paper cites Retrieval-Augmented Chain-of-Thought in Semi-structured Domains.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Retrieval-Augmented Chain-of-Thought in Semi-structured Domains

Reference 19

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Observation 97fbeef7-275b-4f81-9e19-0b04ec2f0f5f · outbound

This paper cites Si- mon.Human Problem Solving.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Si- mon.Human Problem Solving

Reference 20

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source=pdf_text observed=2026-08-02T17:29:47.015917Z digest=sha256:8622466eccca533324d6ea7ae9e5f7dcab7f789e1332d07754aa39bd38e26c39

Observation 737a6aee-cdcb-4b9c-bf9e-581bc338492d · outbound

This paper cites Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures

Reference 22

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source=pdf_text observed=2026-08-02T17:29:47.221332Z digest=sha256:2543928de6b83e3b21d15688493fa5ee1a166f5cb0d59480b807e25f47af4030

Observation a8471289-0f6b-482d-83a5-647eee276d54 · outbound

This paper cites Interleaving retrieval with chain-of-thought reasoning for knowledge- intensive multi-step questions.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Interleaving retrieval with chain-of-thought reasoning for knowledge- intensive multi-step questions

Reference 23

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source=pdf_text observed=2026-08-02T17:29:47.327228Z digest=sha256:1a6ea65163b6e799319da6b1bf81112935f3ca83ac7e724efbb1202f80575409

Observation d18294e9-78c5-45dd-885b-8d65cb2f01d5 · outbound

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

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 24

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Observation 82072455-0126-4955-9571-b771b8ae308d · outbound

This paper cites RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation

Reference 25

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Observation 3642bee7-1438-4932-a70a-35b99dc22692 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837,.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837,

Reference 26

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Observation 0576e20d-b9fb-4c76-8152-2092150cb0e3 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.Advances in neural informa- tion processing systems, 36:11809–11822,.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Tree of thoughts: Deliberate problem solving with large language models.Advances in neural informa- tion processing systems, 36:11809–11822,

Reference 27

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Observation 1661e23f-a286-4392-9cfb-cbee71204b8c · outbound

This paper cites Reasoning over hierarchical question decomposition tree for explainable question answering.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Reasoning over hierarchical question decomposition tree for explainable question answering

Reference 28

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Observation ee207360-96f3-460b-b20c-c2ac679293fa · outbound

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

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 29

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Observation ee6f1621-17d3-49c0-899c-bdae07828ac7 · outbound

This paper cites GPT-4o system card.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring GPT-4o system card

Reference 1972

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Observation 063e0276-0c18-4e6d-a59f-a585c922709d · outbound

This paper cites Behavioral hierarchy: exploration and representation.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Behavioral hierarchy: exploration and representation

Reference 1998

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Observation e776398e-9609-48dd-83c2-34e41e67d51c · outbound

This paper cites The llama 3 herd of models.arXiv e-prints, pages arXiv–2407,.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring The llama 3 herd of models.arXiv e-prints, pages arXiv–2407,

Reference 2012

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Observation 8855ea0c-71e9-4f05-a63b-424eef1d3648 · outbound

This paper cites Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 2013

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Observation 18a9e526-8fd9-479a-9925-38cb0555f40d · outbound

This paper cites Rt: a retrieving and chain-of-thought frame- work for few-shot medical named entity recognition.Jour- nal of the American Medical Informatics Association, 31(9):1929–1938,.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Rt: a retrieving and chain-of-thought frame- work for few-shot medical named entity recognition.Jour- nal of the American Medical Informatics Association, 31(9):1929–1938,

Reference 2020

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Observation 01285a5e-851e-4e41-9eca-da0bbc450857 · outbound

This paper cites MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation

Reference 2021

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Observation dc0eaea7-2004-447e-8348-2ca1b015d00e · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 2022

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source=pdf_text observed=2026-08-02T17:29:45.535825Z digest=sha256:582ea22a156897659c1a74d7cb44b7de8fcb07b82595345e4e4e4dfaa48067d8

Observation 8bcc9058-3cec-488f-8c79-71e8062dd493 · outbound

This paper cites Atlas: Few-shot learning with retrieval augmented language models.Journal of Machine Learn- ing Research, 24(251):1–43,.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Atlas: Few-shot learning with retrieval augmented language models.Journal of Machine Learn- ing Research, 24(251):1–43,

Reference 2023

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Observation 5000533f-da81-4acd-acb9-546b101141c8 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 2024

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source=pdf_text observed=2026-08-02T17:29:45.352330Z digest=sha256:b6bd6f524e2ce7c0d1239e05c0f805791df0c6e0cc092dce6fa12bedbd888e2b

Observation ad79e56f-8ae3-4061-b3f8-52f6c2c24d75 · outbound

This paper cites Cushen and Jennifer Wiley.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Cushen and Jennifer Wiley

Reference 2025

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Pith citing papers

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