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Paper Citation Record · LEDGER

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy

As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.23006.

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

pith.paper-citation-record.v1
2607.23006 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:56:19.553439Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4da0b1ff-1589-4745-887c-13ced83d287a · outbound

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

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Retrieval-Augmented Generation for Knowledge-Intensive

Reference 1

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source=arxiv_source observed=2026-08-01T03:56:19.450740Z digest=sha256:ea10e3b98291d19cf65e7fcae1ebeaa6d69d613d2b1872677501d0362e31c05f

Observation f05588a2-74cb-4954-ad42-381cc9a002a9 · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =

Reference 2

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source=arxiv_source observed=2026-08-01T03:56:19.453322Z digest=sha256:a618138dcbda317cc9a03e1158ee9b38a28de3d92e2deec0a20f1c1754529535

Observation 4129b1e1-36d1-4617-a325-d341319141db · outbound

This paper cites The Probabilistic Relevance Framework:.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy The Probabilistic Relevance Framework:

Reference 3

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source=arxiv_source observed=2026-08-01T03:56:19.456273Z digest=sha256:cbdd061ea45ebdbe615d1d4b7413c7d61d31136ccf469cdeb5e8b3105b8837e1

Observation c2e0f9d1-71f4-47d7-a0e0-7b342b2c92fd · outbound

This paper cites and Clarke, Charles L.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy and Clarke, Charles L

Reference 4

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source=arxiv_source observed=2026-08-01T03:56:19.458615Z digest=sha256:9f6f456f018d4d75f4fef4d275a9ec7a9c56c17aa4021b208fe8234612178b88

Observation 0687e396-dc01-43ee-be3e-15a0636dd243 · outbound

This paper cites , booktitle =.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy , booktitle =

Reference 5

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source=arxiv_source observed=2026-08-01T03:56:19.460750Z digest=sha256:d3b4ea0b6c30bc797575e3957a221aee80ac0a6197fc9d8dbfc07e7a3aeedbdc

Observation 391dbeec-ed9b-40bf-9344-27af16b1a2fa · outbound

This paper cites an unresolved cited work.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-08-01T03:56:19.462883Z digest=sha256:5b263a73b39385a772262659ba0677b04dc55670b45ae3638135f69ef9d15983

Observation fb64fc20-c438-4dc5-a4c3-e7391ba65ca8 · outbound

This paper cites , booktitle =.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy , booktitle =

Reference 7

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source=arxiv_source observed=2026-08-01T03:56:19.465076Z digest=sha256:e6587e39e44991c8d89a178e19ba2d02469930ea7afa0e01e8e485679da5353a

Observation 59685e6b-f265-41a8-b357-298c7a4740ec · outbound

This paper cites From Local to Global: A Graph.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy From Local to Global: A Graph

Reference 9

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source=arxiv_source observed=2026-08-01T03:56:19.469605Z digest=sha256:d85d069d3508d0a3be14efd6c118f052df41df7ca6e4af325a59e0d3ff394e34

Observation e5253418-5105-47d0-b11e-c6155be21dcd · outbound

This paper cites an unresolved cited work.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-01T03:56:19.471549Z digest=sha256:d630ee1ce9302f3d877ed786102ff00a2371d49c04198d0ce37e064616d56938

Observation 8d96a17f-7ea2-448a-b4ce-8df885514e56 · outbound

This paper cites an unresolved cited work.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-01T03:56:19.473749Z digest=sha256:1e7e55697653abdf679bd4c8693d71ab64ac61e23dd7fd6ddf1d4998c5dcf88b

Observation 3c410f82-de15-4433-80c9-554ea099ce16 · outbound

This paper cites an unresolved cited work.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-01T03:56:19.475743Z digest=sha256:67de8fbebe8d540159a5431710fe1df5cf8317910ca5273b6d70e8196a3029f7

Observation 35c22617-ca30-4219-8f42-7c56283b465d · outbound

This paper cites Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) , pages =.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) , pages =

Reference 13

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source=arxiv_source observed=2026-08-01T03:56:19.477751Z digest=sha256:6aa777ebe44dbfd51bf1d1211239d3061b7256fdbd7b0612642bf82237f563f2

Observation aaec19fd-cef5-46b4-a965-c7f62fbdf861 · outbound

This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL) , pages =.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL) , pages =

Reference 15

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source=arxiv_source observed=2026-08-01T03:56:19.482229Z digest=sha256:a4e209a9171f622b11447a60e3d6201f2036d5b3aa2e74b3778d29b73cbdc884

Observation 5ba14e30-df1a-4053-858c-a3b4638c23ea · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume =.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Transactions of the Association for Computational Linguistics , volume =

Reference 16

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source=arxiv_source observed=2026-08-01T03:56:19.484068Z digest=sha256:e4c01727b0413d4b7d767ef09507586e226d135dc00d9b5eae7f117fde265b76

Observation 7cc529fe-55fa-41ef-9d8a-a62681499a97 · outbound

This paper cites Marker: Convert.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Marker: Convert

Reference 17

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source=arxiv_source observed=2026-08-01T03:56:19.485970Z digest=sha256:15bc73591d2b4522e45e74bd8520d0dc6b6c9c7eef0392f5a4b30f4111f2e6c6

Observation 958c016e-3589-41a6-89dd-f60050c91f8a · outbound

This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL) , pages =.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL) , pages =

Reference 19

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Observation 0504bc27-995a-4cb8-a61e-cd764399bdbd · outbound

This paper cites an unresolved cited work.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-01T03:56:19.492085Z digest=sha256:6493b86945480c4fd451190a57cd6f87f4cc1e44fae57c9950673e106c45e498

Observation ae6ac8f5-5c59-4217-9a4a-58725a97d53d · outbound

This paper cites an unresolved cited work.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-01T03:56:19.493931Z digest=sha256:055fceea309417602c13ca983646be36af0ed693c6df19826327df47fb79ab23

Observation b4f89f3c-18f3-4f05-8997-bf768593bdb2 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP , pages =.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Findings of the Association for Computational Linguistics: EMNLP , pages =

Reference 22

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source=arxiv_source observed=2026-08-01T03:56:19.495853Z digest=sha256:fcd80954509dd9e6e9a19a14b63b67a02416d976f8f00a60271b13db455a023a

Observation 86d63515-7c29-4b53-9158-9a48e17464ca · outbound

This paper cites 2025 , note =.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy 2025 , note =

Reference 25

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source=arxiv_source observed=2026-08-01T03:56:19.502187Z digest=sha256:8c40b1705be4c3306a89e201bdfcd275a0271d779b0d081487f09073c122749f

Observation 949864c8-3046-4199-9298-80b454c2498a · outbound

This paper cites an unresolved cited work.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-01T03:56:19.504212Z digest=sha256:c923a958ac737da3ff58438051d54263faa696f68bb0b84903186d66593d7383

Observation e3e644a5-0e2e-4365-88a9-34fef082a1a1 · outbound

This paper cites 2024 , note =.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy 2024 , note =

Reference 27

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source=arxiv_source observed=2026-08-01T03:56:19.506448Z digest=sha256:0992b7ba58bfc310d56b9c852692db8c15e14696e0eb0cc26913bb55f22f0824

Observation 78e358aa-cee3-4782-b5c4-8cfbfff310cd · outbound

This paper cites Self- RAG : Learning to retrieve, generate, and critique through self-reflection.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Self- RAG : Learning to retrieve, generate, and critique through self-reflection

Reference 28

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source=arxiv_source observed=2026-08-01T03:56:19.508516Z digest=sha256:505ccd80b8c6afb1e5a7bfcd3b4151b1a04b78d25a3b16e70bd875e3da939645

Observation 7a5323df-b99f-4dee-8654-31ab0647644b · outbound

This paper cites Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading

Reference 29

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source=arxiv_source observed=2026-08-01T03:56:19.510651Z digest=sha256:c830200b0b05d8f409bf50c882f0c31bd1680bfa5fac372e835a36e15c36d51b

Observation 87cd8563-3da0-452d-bec9-20aba7d0fe32 · outbound

This paper cites an unresolved cited work.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-01T03:56:19.512656Z digest=sha256:8a7542747cf6bc9140ed6067199debdf55912394b1e5b80430571d2905ca1754

Observation 5483436f-ec35-4217-8031-6d40e70881fd · outbound

This paper cites Cormack, Charles L.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Cormack, Charles L

Reference 31

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source=arxiv_source observed=2026-08-01T03:56:19.514563Z digest=sha256:3d1d47a424abc8d289f1c16f4f0a7ae4910ee986b1a78b6ae678dfddca09c456

Observation ffc02580-4161-44d7-aba1-5c6c54f29a70 · outbound

This paper cites Smith, and Matt Gardner.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Smith, and Matt Gardner

Reference 32

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source=arxiv_source observed=2026-08-01T03:56:19.516532Z digest=sha256:ace80e50699bfa95f93d560002082678c90cc6434ff44600c39c5958e6a72e0e

Observation 67c65cbf-2205-48e7-8959-769c2d54a52d · outbound

This paper cites Precise zero-shot dense retrieval without relevance labels.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Precise zero-shot dense retrieval without relevance labels

Reference 33

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no resolver link, observed 2026-08-01T03:56:19.518585Z

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source=arxiv_source observed=2026-08-01T03:56:19.518585Z digest=sha256:20d659ce5c04252aba52c4e1cedd2ffb88d31c895201a3b0ea55ba94c1fd61c5

Observation 6442d1bb-0f29-4470-9b3e-abe6c8b1b8a9 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 34

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no resolver link, observed 2026-08-01T03:56:19.520883Z

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source=arxiv_source observed=2026-08-01T03:56:19.520883Z digest=sha256:ef3c7fa05380c8787b453a2f366080e579c99ab3c2ff88ec4e09f75c270dcb89

Observation 4283607a-c0d9-4c1c-8ef4-4dd31c23dbea · outbound

This paper cites Dense passage retrieval for open-domain question answering.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Dense passage retrieval for open-domain question answering

Reference 35

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no resolver link, observed 2026-08-01T03:56:19.522707Z

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source=arxiv_source observed=2026-08-01T03:56:19.522707Z digest=sha256:b713abfad6a29c6d6096d880aa049e6fb148e8dbdbb58d4db317d18cf7a79a93

Observation e7ab2593-3632-46b7-adb5-f6166fa97c09 · outbound

This paper cites ColBERT : Efficient and effective passage search via contextualized late interaction over BERT.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy ColBERT : Efficient and effective passage search via contextualized late interaction over BERT

Reference 36

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source=arxiv_source observed=2026-08-01T03:56:19.524548Z digest=sha256:897266671c9965f30e829153a4e585333b7c10b216255cc3478789fd335e3a6a

Observation 91553fed-4bf9-4a6e-8186-16af2be78974 · outbound

This paper cites PaperQA: Retrieval-Augmented Generative Agent for Scientific Research.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 37

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source=arxiv_source observed=2026-08-01T03:56:19.526420Z digest=sha256:e1742596018907ecca7e7205975cf0a2f389764f88b26d8f9be2ad7691930c39

Observation d9d34216-fdbd-4ee5-8e68-5b6ad2f77481 · outbound

This paper cites LAB-Bench: Measuring Capabilities of Language Models for Biology Research.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy LAB-Bench: Measuring Capabilities of Language Models for Biology Research

Reference 38

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source=arxiv_source observed=2026-08-01T03:56:19.528294Z digest=sha256:a924d1c12611d7ebeee1e1c9dd2846945b5217dc2b29243e676b09c1abdc2195

Observation 407de1aa-942e-41be-af7d-3bd21686bd96 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 39

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source=arxiv_source observed=2026-08-01T03:56:19.530188Z digest=sha256:61ed3a6072ddc9751229c34fd252e60620478de4955ca2d38f4110453aa48ce8

Observation c43892bb-81b8-457c-9020-d18591aee065 · outbound

This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 40

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source=arxiv_source observed=2026-08-01T03:56:19.532159Z digest=sha256:b8c251283d5e93ee78ab4285dca378c89e193a06b09e42c55b98667ddb4025e9

Observation 31dabe53-8453-4548-95aa-44b61fa1c8e5 · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 41

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:56:19.533958Z digest=sha256:23a8c08c60d174ec76868993766326ab189da99c9505783c9c98edf93b2c8349

Observation 081e8bf0-8871-4c49-9e11-64a830f3dcf4 · outbound

This paper cites PageIndex File System : Massive-scale document search.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy PageIndex File System : Massive-scale document search

Reference 42

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no resolver link, observed 2026-08-01T03:56:19.536021Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T03:56:19.536021Z digest=sha256:fe56c3c49d551095840c9e8f710a6a5b7faf15a5204ff0e5342a84d5056c3f95

Observation 18359555-5fd1-4ceb-8746-fc09ace461fb · outbound

This paper cites Marker: Convert PDF to markdown quickly with high accuracy.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Marker: Convert PDF to markdown quickly with high accuracy

Reference 43

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unresolved
no resolver link, observed 2026-08-01T03:56:19.538021Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T03:56:19.538021Z digest=sha256:386ad24f15e75cd3a5b58f241e2b98b8a1b45d23608a71a79c6366a2591b5083

Observation a44983f0-a092-4f7a-8b25-d3089e3385b7 · outbound

This paper cites Smith, and Mike Lewis.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Smith, and Mike Lewis

Reference 44

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no resolver link, observed 2026-08-01T03:56:19.539903Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T03:56:19.539903Z digest=sha256:3aba2c97244237ffaeef74f542c9dde675dc9ef74978301d55fb7fd88a227862

Observation 828d427f-5e6a-48c7-ab45-f371ae26e08d · outbound

This paper cites The probabilistic relevance framework: BM25 and beyond.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy The probabilistic relevance framework: BM25 and beyond

Reference 45

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unresolved
no resolver link, observed 2026-08-01T03:56:19.541714Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T03:56:19.541714Z digest=sha256:f733c34ffe5af2e57dbddd709323975c5b481d4c92def2a3aa7ae8794482c041

Observation efe9ff24-e4f6-435a-8832-e68224b67fbd · outbound

This paper cites an unresolved cited work.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Unresolved cited work

Reference 46

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unresolved
no resolver link, observed 2026-08-01T03:56:19.543599Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T03:56:19.543599Z digest=sha256:1c34d329d26c3ddffa8e7eeee6542ea8296b2ebd5c2a43841c41d12c67f72241

Observation 4bf7ea0a-ad37-480c-bdf6-2399262bec64 · outbound

This paper cites SciRepEval : A multi-format benchmark for scientific document representations.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy SciRepEval : A multi-format benchmark for scientific document representations

Reference 47

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unresolved
no resolver link, observed 2026-08-01T03:56:19.545464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:56:19.545464Z digest=sha256:3bf8fc6895c66a885bccec5332b80696c47a33e15aa347bfdad82071e99209d4

Observation 3437e6ad-dff7-47ff-80a3-aa11148b35bf · outbound

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

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions

Reference 48

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unresolved
no resolver link, observed 2026-08-01T03:56:19.547371Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T03:56:19.547371Z digest=sha256:080c90f4ad16e7d21db0446686871223f316d81b5e350312ca293cd5dd467fd3

Observation 2f769098-b405-4a24-aad4-d08cf2e1f1c5 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy C-Pack: Packed Resources For General Chinese Embeddings

Reference 49

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unresolved
no resolver link, observed 2026-08-01T03:56:19.549221Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T03:56:19.549221Z digest=sha256:27c4f2c45f7be58899901e94abcc7550ee35cf6f15ebea35cbac1354536e072d

Observation 7da9f91f-671e-4440-a303-1e619b348943 · outbound

This paper cites ReAct : Synergizing reasoning and acting in language models.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy ReAct : Synergizing reasoning and acting in language models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-01T03:56:19.551463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:56:19.551463Z digest=sha256:6d0e6feb76d59d84de2fe8f0a0921edb9f504fe7127b2f0c7662ca4af9a38f6d

Observation 99996ae0-cec7-4946-a229-729ac0a7f118 · outbound

This paper cites PageIndex : Next-generation vectorless, reasoning-based RAG.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy PageIndex : Next-generation vectorless, reasoning-based RAG

Reference 51

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no resolver link, observed 2026-08-01T03:56:19.553439Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T03:56:19.553439Z digest=sha256:b4173cf7075d9f5158ccf9d236c18e522e861720d985b04d463838702b8f554d

Pith citing papers

No inbound Pith citation observations are available.