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Paper Citation Record · LEDGER

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

As of 9 August 2026, this Paper Citation Record lists 100 of 125 outbound references and 9 inbound Pith citation observations for arXiv:2502.02464.

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

pith.paper-citation-record.v1
2502.02464 v3

Coverage vector

measured 100 of 125 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:07:24.266576Z

measured 109 of 109 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:37.825619Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:58:45.165805Z

Reference resolution

100 of 125 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved93
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46a6e22d-321b-4430-a8a1-177e97f58fbb · outbound

This paper cites Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.803713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.803713Z digest=sha256:2a9fc179b1d65a55a9f32af4f922367576ff9511a0d81fb973b9db30aac77975

Observation e5812c49-a8b4-4aa9-93f6-9ebbae97e422 · outbound

This paper cites FastRAG: Retrieval Augmented Generation for Semi-structured Data.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation FastRAG: Retrieval Augmented Generation for Semi-structured Data

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:07:25.174887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T12:07:23.809309Z digest=sha256:aa8095e8be675a121e73e310e6e1f678843dc53962edeb73afe0b3807da9f5c2

Observation 2d19a1ef-e2f3-4d12-9670-17bb9cf59ea8 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.814268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.814268Z digest=sha256:19ff93b54c1263f0dae1899f3a28edaad73ee01cb6799c1b2ce3cf87a76e547b

Observation d1b2850d-a25e-4989-a4f5-099489f8e3f3 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.823505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.823505Z digest=sha256:9c8c1be5f0218d2207dc7d99e30b6e650ee043746cac3a7ddd7457dafac95301

Observation a59785f3-8ac2-48e1-a544-0c234c2aba37 · outbound

This paper cites GPT-4 Technical Report.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation GPT-4 Technical Report

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.828033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.828033Z digest=sha256:8c82d47599594097a76bb26f75d4264d60ec08d4ee2b7de7f4d99b2863abe40c

Observation 26513bc9-5875-4e60-8de0-7764211ef4b1 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.832753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.832753Z digest=sha256:ce5f92c99ea966d4e9e031a62559ab35590300647a028fcb19855871ea1364c0

Observation 38c72a1e-06f0-4ffe-a68d-35db83dfe6d9 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.837097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.837097Z digest=sha256:6585b373a2f18d5155fec675d9ac287a70d9172db70bcd30badbeea043926e30

Observation a72f9b1e-8b72-4b7d-bbc4-87b406b2fd62 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.842458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.842458Z digest=sha256:f2a96502e1122fceb7de2e9508e9e72650225ec0cbb7459dc188e1b82da0402b

Observation 8694d985-399b-46d9-b40e-0b2b4b12c7a8 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.846763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.846763Z digest=sha256:7ee789bee699f835760868c446bcb1146006b5d154b3a21e61d1d599cf207b0b

Observation 389090b1-e1dd-4bad-b27e-73e194d272e0 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.850898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.850898Z digest=sha256:c2e52c63a0b00ea69b797f3712b4595c46cb34a30fd2e60e85079b964cf5b17a

Observation a2af9f82-dcfa-4865-95e9-85ac55f86633 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 11

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unresolved
no resolver link, observed 2026-08-09T12:07:23.855325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.855325Z digest=sha256:e55cb7780054dbd511ac297b9085f44d126f966d3ad17632e664603c0a0699cf

Observation d9ee5377-d41c-442c-bb61-b55782a033a7 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.859522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.859522Z digest=sha256:a4e5873e4827a0499cfe863a5e8d35e4cb666973f1d42dda73a52192d46393fd

Observation 822371d1-c826-44b3-b1a0-914380ef0264 · outbound

This paper cites Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers

Reference 14

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unresolved
no resolver link, observed 2026-08-09T12:07:23.868466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.868466Z digest=sha256:6a43fff24641b0f20365682481acaf8faafbc1ff04f9890da8a38a0c1a6d87a7

Observation 92a0cd14-e581-4bfe-a77b-80d38845e1e9 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 15

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unresolved
no resolver link, observed 2026-08-09T12:07:23.873113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.873113Z digest=sha256:44410d47a3c7cb6568d270a98802570183b6788f658d2a2d4827c43fa2dced88

Observation 3e05f6cd-84af-49a7-9c18-8566ffeccab3 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 16

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unresolved
no resolver link, observed 2026-08-09T12:07:23.882195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.882195Z digest=sha256:4cf4856aac08c5e2b399cb0a5a875cb1b6980c79eba4e04d0afc55ab092754ac

Observation 3cc3ccae-463e-4736-940d-a525b4ee72a3 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.886363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.886363Z digest=sha256:9dfee925a483136c308c03882b3d89a452a04ed726bb9ab8e495fa57a9551132

Observation efc00f95-ed59-4a1a-9c0a-53210b49cd04 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.890571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.890571Z digest=sha256:f8bc622341d05732ac7a774b6bcbab234873d6287704f4f075fbf96425827aae

Observation ccf1743a-942f-448b-8060-44e5a3302fe5 · outbound

This paper cites rerankers: A Lightweight Python Library to Unify Ranking Methods.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation rerankers: A Lightweight Python Library to Unify Ranking Methods

Reference 19

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unresolved
no resolver link, observed 2026-08-09T12:07:23.895111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.895111Z digest=sha256:53ff1f68ce5034da67d81736009830e2cc3aa5126c9ef18a26912f57842b3646

Observation d4318670-fd41-4177-b4fb-08fb557d209b · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-08-09T12:07:23.899550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.899550Z digest=sha256:86436567063e03e7807e2d5f8a7365f23b1964069815641e41358f60bbd1aaf9

Observation c1039331-e4b4-4d70-97aa-e41280c8bf6f · outbound

This paper cites Damodaran.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Damodaran

Reference 21

Resolution
verified exact
doi, observed 2026-08-09T12:07:24.526082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 25ef4d27-027f-4367-a29a-2446527e70ee · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.907192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.907192Z digest=sha256:eeff2925a5725ba8bfec3b0e539063e67d9609129a4f0cd8f222506f4debc2cc

Observation 5aced15b-0485-48bd-97eb-aac2509d452f · outbound

This paper cites Hare, Frédérique Laforest, and Elena Simperl.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Hare, Frédérique Laforest, and Elena Simperl

Reference 23

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unresolved
no resolver link, observed 2026-08-09T12:07:23.911108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.911108Z digest=sha256:7f7e27be015e875ef706e848954f3ff65a057ef72be1d1bb03758bff7abbfb8f

Observation 9053827f-792d-4bc0-a576-762a3dbc9bda · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 24

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unresolved
no resolver link, observed 2026-08-09T12:07:23.914611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.914611Z digest=sha256:4a4778fcad267f65a827fc883fc596529e1a57a8498cfd3ad71e65687e01ab08

Observation 3322b7a1-dcc0-436d-a80d-d3854fb29d33 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 25

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unresolved
no resolver link, observed 2026-08-09T12:07:23.918337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.918337Z digest=sha256:9f2653d2bbaafd8f65edb20129a40e1b5968769551e19aa00a2d0369fbe98a41

Observation aa990560-cf99-442e-9b38-fe94d9209961 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:23.925656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.925656Z digest=sha256:8d81c3e1f08217152fd94412ab9049ff264326083c7c7c75b9b160b0cf48cfd0

Observation 86ebd60c-077a-4cf0-880d-64f211d8587f · outbound

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

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 27

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unresolved
no resolver link, observed 2026-08-09T12:07:23.929743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.929743Z digest=sha256:34b921d9d1775a4c74febda79fa70175862f7e3929320b59d55270af63609583

Observation d9d9e99a-511e-4f20-b886-2055767a180e · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 28

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unresolved
no resolver link, observed 2026-08-09T12:07:23.934158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.934158Z digest=sha256:2034e23d03b78b831e9b55b5b9663ff1c6922a419e63c91c02e8f26f25a74d3e

Observation f4ef0054-637f-408d-85ec-00d7afcaf750 · outbound

This paper cites WikiAsp: A Dataset for Multi-domain Aspect-based Summarization.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation WikiAsp: A Dataset for Multi-domain Aspect-based Summarization

Reference 29

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e8fc4f26-613e-4733-849d-734849560ec8 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 30

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unresolved
no resolver link, observed 2026-08-09T12:07:23.942949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.942949Z digest=sha256:589b16beffb2d1438c31a41d98d045ffa166cb6648c6e833f488eeceb6ed6c1b

Observation 6a341a98-0b72-4ddc-b2ad-346377fbf205 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 31

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unresolved
no resolver link, observed 2026-08-09T12:07:23.947234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1eeaf812-597d-42d2-a199-026fe25d5cf3 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 32

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unresolved
no resolver link, observed 2026-08-09T12:07:23.951458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.951458Z digest=sha256:d1c1149a86fbcd48593ada7fe02955ca307d709bc99b38f13a6b7357aa586935

Observation 5c49af55-0cac-4a54-95d8-aef0da5a055e · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 33

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unresolved
no resolver link, observed 2026-08-09T12:07:23.955812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.955812Z digest=sha256:e768b72c1bdea8abe2ee1759a1fcc22e95360b71f8ad6a2cfbabb4ddb6639ce1

Observation cc5a1b0a-5503-4ad6-a70e-66fe3eddfb73 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 34

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unresolved
no resolver link, observed 2026-08-09T12:07:23.964620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.964620Z digest=sha256:3a1f27a77751fe1fa8ac6bb8fc129db4a1315068f649a6e943cad6ee0d1f8d05

Observation 848da074-ef98-433f-954e-9704ebe17f88 · outbound

This paper cites PairDistill: Pairwise Relevance Distillation for Dense Retrieval.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation PairDistill: Pairwise Relevance Distillation for Dense Retrieval

Reference 35

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unresolved
no resolver link, observed 2026-08-09T12:07:23.972727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.972727Z digest=sha256:ba2785de28860715e7b97c2c5d942c3ceb2786df84dcb482231285f8c97ceb1e

Observation 5ee2da83-de02-435b-bd68-a11db4592101 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 36

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unresolved
no resolver link, observed 2026-08-09T12:07:23.977166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:23.977166Z digest=sha256:fd2c01ad31aac5ed07d6e39f782dd945fe26f3ac60599197d3e5111e3906d0dc

Observation 514b7a34-b8eb-4b98-aa9b-0bde4dee8e9d · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 37

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no resolver link, observed 2026-08-09T12:07:23.981615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f8d03911-3907-4677-82a2-dbad4e303793 · outbound

This paper cites Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Reference 38

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unresolved
no resolver link, observed 2026-08-09T12:07:23.985583Z

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Observation 3bd12ea3-2412-455f-b452-8acef480013c · outbound

This paper cites FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research

Reference 39

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Observation 770fdb30-d7fd-4282-80ac-a8c8e87e9c62 · outbound

This paper cites an unresolved cited work.

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Reference 40

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Observation 69b1929a-f9f9-4b06-b78f-48ce7391337b · outbound

This paper cites How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI

Reference 41

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Observation a0827ab6-345e-404d-8958-410c53706301 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 42

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Observation 51ac7362-9d67-4faf-9837-8d574b6e53a6 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 43

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Observation 2614c2b2-b2bb-4cfe-9542-1c6bdf5c8135 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 44

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Observation 219af721-b7a0-48aa-b289-5e3d8d04db67 · outbound

This paper cites ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Reference 45

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Observation d438fa96-f3cf-4e2c-becc-b0f2cbdc0d47 · outbound

This paper cites AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline

Reference 46

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Observation 7cb34c9c-30e0-4f41-b720-6b2c662a7841 · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 47

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Observation 4ff88ec8-a3fb-4314-b338-52dc835bf14c · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 48

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Observation cdec04db-e695-49df-8a4d-d89ecc2dd2b0 · outbound

This paper cites MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model

Reference 49

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Observation 562c1b0e-c47a-47fe-8fcd-cc2641049864 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 50

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Observation af86e792-895f-4f35-aa9f-6739a2727c5a · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 51

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Observation d8427eb1-38b1-4892-8dfc-85f496058790 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 52

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Observation 79588e71-8fff-4ce6-bdf4-a8f561ca2a7e · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 53

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Observation ca69f254-d022-46a2-8e5d-a61b86906c1f · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 54

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Observation 17eca5dc-e236-41c3-a1a2-2c20632d1866 · outbound

This paper cites InRanker: Distilled Rankers for Zero-shot Information Retrieval.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation InRanker: Distilled Rankers for Zero-shot Information Retrieval

Reference 55

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Observation 80ed006f-916b-4b2b-8e33-1d09e0964cb3 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 56

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Observation b2228966-498a-4c62-aeb1-dd38946fc166 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 57

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Observation 3b996556-d1f1-44f2-b3d1-39d3b7bb7c1a · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 58

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Observation 08d997ee-e2ce-4a21-b69d-04d41af79ea6 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 59

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Observation 0bfda07f-a757-4eb9-a814-fa0ac363fb72 · outbound

This paper cites an unresolved cited work.

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Reference 60

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Observation f0fc5f16-2bec-40de-b03c-734cb9661a41 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 61

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Observation 265b08c5-b6ab-41b2-a518-0d53dd8a8cd3 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 62

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Observation ab598e09-1258-4437-8971-60f7a919db5e · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 63

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Unavailable: canonical work link unavailable.

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Observation 50527d68-3430-4894-b64b-36f119c10377 · outbound

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Passage Re-ranking with BERT

Reference 64

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Observation f7506bcb-565e-4fbc-bb93-578adde5c86c · outbound

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 65

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Observation 29c2df2c-d59b-4069-8572-87d1821e6f0b · outbound

This paper cites Multi-Stage Document Ranking with BERT.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Multi-Stage Document Ranking with BERT

Reference 66

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Observation 97c05cf0-2f0a-4084-8e46-45325f644312 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 67

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Observation 080247e3-2edb-4020-8850-5c6bcf0410b4 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 68

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Observation 9260436d-5051-4b8a-ba48-307dbbd7352d · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 69

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Unavailable: canonical work link unavailable.

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Observation 8d65004a-f21e-4b08-82ce-bb1bf392e62e · outbound

This paper cites Large Dual Encoders Are Generalizable Retrievers.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Large Dual Encoders Are Generalizable Retrievers

Reference 70

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Observation 0f122961-ea6b-45a9-a5b1-4f0d26d10984 · outbound

This paper cites RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!

Reference 71

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Observation ceaa00c9-82c9-4f3e-a33f-c1c5a650072b · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 72

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 06bdaedb-e0e6-4e4b-a1cc-3707a9433708 · outbound

This paper cites Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Reference 73

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Observation eef2c8a3-c64f-48b0-86b6-5ede5bbe2040 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 74

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Source-reported events for the cited work

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Observation 4e4fa888-7d8d-491c-b1c7-418e23167677 · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 75

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Unavailable: canonical work link unavailable.

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Observation 4e990ac8-01f8-4aec-9853-2b073b5d21fd · outbound

This paper cites an unresolved cited work.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 76

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Unavailable: canonical work link unavailable.

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Observation c06782bd-a81e-44ad-99b0-7f5fcb47701c · outbound

This paper cites RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Reference 77

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Observation 6928ecf5-c04b-4154-bfa6-35b194610d3c · outbound

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Unresolved cited work

Reference 78

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Observation fcdf4c18-7ba0-42c6-8f5f-2157148616b4 · outbound

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking

Reference 79

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Observation 2684aa40-644e-42e0-ad5e-5a26819243af · outbound

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Reference 80

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Reference 81

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Observation efc28b23-128b-4a5d-ab29-579b33c1cc00 · outbound

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Improving Passage Retrieval with Zero-Shot Question Generation

Reference 82

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Reference 83

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Observation ddc38423-ade5-49b2-8d89-dd30b80fc485 · outbound

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Reference 84

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Observation 2fa991e1-581c-4bf0-9e66-0c1f266ef169 · outbound

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Reference 85

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Observation 235c3ecb-140f-40e7-b06a-e1d9de6fefe2 · outbound

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models

Reference 86

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Observation 9639f218-8866-4232-aeed-58dd92ec8b84 · outbound

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model

Reference 87

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Observation fa323558-0c99-413a-a366-6174c247febf · outbound

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Reference 88

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Observation c31bc3a6-fece-4ede-a4c7-632e960f3508 · outbound

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Reference 89

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Observation ee3613a3-6e43-4bc1-9a44-9d8632b8fe12 · outbound

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 90

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Observation 64210753-3d66-4d90-86fb-b1ef64d8cf3d · outbound

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Reference 91

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Observation d0f4c480-236d-494d-9828-9c617afd52cf · outbound

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Reference 92

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Observation 7d3cec29-c7cd-4e7a-a261-cf5452d5e8d8 · outbound

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models

Reference 93

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Observation 79db4631-82a9-49d0-88d1-a258f6040504 · outbound

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Reference 94

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Observation cdfa7cdd-bed5-45d0-afce-6d5eaa1b2acc · outbound

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Reference 95

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 96

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Reference 97

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Observation f259be41-c69d-4034-a89c-fc3e12cdc541 · outbound

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Reference 98

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Observation 31397562-46e4-4414-b33f-36f9f13c9d60 · outbound

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Reference 99

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Observation 35625da3-71f9-41ea-991f-85328eeae98a · outbound

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Reference 100

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Reference 101

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Pith citing papers

Observation f38b646d-56cd-45af-8be3-60d91d0879fb · inbound

RankLLM: A Python Package for Reranking with LLMs cites this paper.

RankLLM: A Python Package for Reranking with LLMs Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

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Observation 7ae4d162-8231-4a87-a6e6-8ee712c9b55c · inbound

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Shifting from Ranking to Set Selection for Retrieval Augmented Generation Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

Reference 2025

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Observation baebb7d7-c5d8-41ab-a705-e53d3873f122 · inbound

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A Survey of Context Engineering for Large Language Models Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

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Observation 7213cb4a-6e40-4fba-8859-f7306b185329 · inbound

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models cites this paper.

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

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Observation ed7390e8-66eb-45bc-81fd-cec2425302e7 · inbound

Are LLM-Based Retrievers Worth Their Cost? An Empirical Study of Efficiency, Robustness, and Reasoning Overhead cites this paper.

Are LLM-Based Retrievers Worth Their Cost? An Empirical Study of Efficiency, Robustness, and Reasoning Overhead Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

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Observation 566acf1e-72ee-4ca2-8e55-9742ddc8a5ee · inbound

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The LLM Effect on IR Benchmarks: A Meta-Analysis of Effectiveness, Baselines, and Contamination Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

Reference 1

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Observation 56853ddb-6138-4d3b-8421-74d41a10124f · inbound

MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL cites this paper.

MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

Reference 3

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6be17e6e-45af-4204-a1ed-24540554a780 · inbound

BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment cites this paper.

BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

Reference 4

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation aaf6ba5b-8eaa-4961-92ba-3eb068d8cf5c · inbound

HIVE: Query, Hypothesize, Verify An LLM Framework for Multimodal Reasoning-Intensive Retrieval cites this paper.

HIVE: Query, Hypothesize, Verify An LLM Framework for Multimodal Reasoning-Intensive Retrieval Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

Reference 4

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arxiv_id, observed 2026-05-11T06:56:02.666429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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