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Paper Citation Record · LEDGER

Hierarchical Reranking for Scalable Financial RAG System

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.27523.

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

pith.paper-citation-record.v1
2607.27523 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:25:06.376255Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

38 of 38 outbound references displayed

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  • unresolved38
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 106e558a-9da1-44df-83e1-397325b7df1f · outbound

This paper cites Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks.

Hierarchical Reranking for Scalable Financial RAG System Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks

Reference 1

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source=arxiv_source observed=2026-08-01T06:25:06.245264Z digest=sha256:978df9fc960966bb969f6539f08b30033cd5ab4204f7cfc21def46287b31fe60

Observation af8abb10-bc35-447e-af9c-d9a062f67624 · outbound

This paper cites Improving Retrieval for RAG based Question Answering Models on Financial Documents.

Hierarchical Reranking for Scalable Financial RAG System Improving Retrieval for RAG based Question Answering Models on Financial Documents

Reference 2

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source=arxiv_source observed=2026-08-01T06:25:06.250553Z digest=sha256:3420d7fc68ac6915158249b44e51eb14b8eea0d88af4523a1f3a3c06e91e11b3

Observation d191e4bc-8659-4037-b55c-2ac684e59f35 · outbound

This paper cites Proceedings of the Fourth.

Hierarchical Reranking for Scalable Financial RAG System Proceedings of the Fourth

Reference 3

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source=arxiv_source observed=2026-08-01T06:25:06.254695Z digest=sha256:37dbb9e1386e27631ccb669198bcf924c768980e913bb64034ff0588bccddc03

Observation 95825d16-c6db-41d1-ab25-f05717488f00 · outbound

This paper cites Financial Report Chunking for Effective Retrieval Augmented Generation.

Hierarchical Reranking for Scalable Financial RAG System Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 4

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source=arxiv_source observed=2026-08-01T06:25:06.257886Z digest=sha256:12517ba540088a91bf629aff88121c7e91d8517f23989ba793695552423e5dd0

Observation 01e7c425-39cb-49a8-8b15-a6167b748f10 · outbound

This paper cites HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction.

Hierarchical Reranking for Scalable Financial RAG System HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction

Reference 5

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source=arxiv_source observed=2026-08-01T06:25:06.261272Z digest=sha256:5291eeb735ca14f6e09646aa7076505774e7669c0179c70fe7e8aa87094e9ec2

Observation cb45184d-d3a3-44c4-9f26-815dbdb9f6af · outbound

This paper cites Scientific Research Journal of Science, Engineering and Technology , volume =.

Hierarchical Reranking for Scalable Financial RAG System Scientific Research Journal of Science, Engineering and Technology , volume =

Reference 6

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source=arxiv_source observed=2026-08-01T06:25:06.265026Z digest=sha256:70c41fe2f7d9a4a5232a8ad4b016e80d32d7dc47abde4413177622a69a7cbea3

Observation d1473a1d-c65b-41d2-8feb-e7289ab3fadc · outbound

This paper cites Optimizing Query Generation for Enhanced Document Retrieval in RAG.

Hierarchical Reranking for Scalable Financial RAG System Optimizing Query Generation for Enhanced Document Retrieval in RAG

Reference 7

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source=arxiv_source observed=2026-08-01T06:25:06.268161Z digest=sha256:7dc3271617ac9e5248dc2a763568cdde78e8271c41295a2d6e90431da37bcab8

Observation e5349b3b-b586-4b3e-a1b3-28dbebfe8730 · outbound

This paper cites Neural Computing and Applications , volume =.

Hierarchical Reranking for Scalable Financial RAG System Neural Computing and Applications , volume =

Reference 8

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source=arxiv_source observed=2026-08-01T06:25:06.272228Z digest=sha256:862b4aaa80f26e48e92881743e209798e9cf712aa581a244ae50c7b54f7bc418

Observation 60dffd78-af7d-400e-950d-3b3000ea7f45 · outbound

This paper cites Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG.

Hierarchical Reranking for Scalable Financial RAG System Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 9

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source=arxiv_source observed=2026-08-01T06:25:06.275654Z digest=sha256:8cfd3ec15b48777a7bfa37251b318a5091347a3e3a49cf9252c4b69a82e109b1

Observation d6162990-a002-4a1a-a1cd-010f557c5ed7 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Hierarchical Reranking for Scalable Financial RAG System Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 10

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source=arxiv_source observed=2026-08-01T06:25:06.279646Z digest=sha256:0144cf362a9c449abb6d84c5edb8005db80ddc3d3821c63cd1838309d44bf355

Observation 59ee4075-dcb4-48f6-8c94-47fce86c71f7 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Hierarchical Reranking for Scalable Financial RAG System Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 11

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source=arxiv_source observed=2026-08-01T06:25:06.283027Z digest=sha256:f9ac7bac95dd89a6d51f9d9ed5f5d35a2cb0aad7885e2057b7459f13cc7e7a35

Observation c49ccb48-d3f0-44f9-8d41-8987a93bead7 · outbound

This paper cites Proceedings of the 5th.

Hierarchical Reranking for Scalable Financial RAG System Proceedings of the 5th

Reference 12

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source=arxiv_source observed=2026-08-01T06:25:06.286511Z digest=sha256:f24f331d92304bf0f22addb2f7c4ebf25d35a811efe775d58298da9c88a61930

Observation 83985c1f-4530-4551-b7dd-cdb714f24e36 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Hierarchical Reranking for Scalable Financial RAG System BloombergGPT: A Large Language Model for Finance

Reference 13

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source=arxiv_source observed=2026-08-01T06:25:06.289375Z digest=sha256:1c56b44c97538bc255aa14d9835fcca2409ed61d3b1f8f2aae81b221fcd1b47f

Observation 2b4292b6-d63a-45bd-9ce5-2afc8680a766 · outbound

This paper cites Context Is What You Need: The Maximum Effective Context Window for Real World Limits of LLMs.

Hierarchical Reranking for Scalable Financial RAG System Context Is What You Need: The Maximum Effective Context Window for Real World Limits of LLMs

Reference 14

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source=arxiv_source observed=2026-08-01T06:25:06.292690Z digest=sha256:a9fa97caed9934ffb5a30c2b31a3d4c607100dd358a5151694334029beca647f

Observation b03215a3-f292-48fd-a87e-099c478df988 · outbound

This paper cites 2025 , archivePrefix =.

Hierarchical Reranking for Scalable Financial RAG System 2025 , archivePrefix =

Reference 15

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source=arxiv_source observed=2026-08-01T06:25:06.296187Z digest=sha256:5d849af1dc82280106ee432fcf74f2f1c9a6004fff70d63817db98470efa8e92

Observation caae5bcc-72f0-4cf2-a71d-504049973f45 · outbound

This paper cites InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning.

Hierarchical Reranking for Scalable Financial RAG System InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning

Reference 16

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source=arxiv_source observed=2026-08-01T06:25:06.299146Z digest=sha256:2862231548758ec0333bf546276c78ca0b071fab9d1a2a23268aef164afa8946

Observation 104ca1cc-1cea-41f7-8930-e68829c684ed · outbound

This paper cites 2025 , archivePrefix =.

Hierarchical Reranking for Scalable Financial RAG System 2025 , archivePrefix =

Reference 17

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source=arxiv_source observed=2026-08-01T06:25:06.302174Z digest=sha256:514c081ab0ab53a6c353191130fbb8533e6b444cf5f838f40b2020117498e157

Observation 9949a9f9-75b2-4d77-8b7e-6646bbabc031 · outbound

This paper cites FinanceBench: A New Benchmark for Financial Question Answering.

Hierarchical Reranking for Scalable Financial RAG System FinanceBench: A New Benchmark for Financial Question Answering

Reference 18

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source=arxiv_source observed=2026-08-01T06:25:06.305235Z digest=sha256:2cff593354d664a1e3d804dd3786c079bedb96acafc476963b562f5973d28423

Observation 95686e04-03df-4f1a-8aa2-171cce2eaeb4 · outbound

This paper cites TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.

Hierarchical Reranking for Scalable Financial RAG System TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 19

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source=arxiv_source observed=2026-08-01T06:25:06.308391Z digest=sha256:c217b471d76132d960c557ace83062ce0923c01d1317b461097357267681c9f3

Observation 534e54d5-817d-41b9-b5cc-d2c22b6ff37e · outbound

This paper cites FinQA: A Dataset of Numerical Reasoning over Financial Data.

Hierarchical Reranking for Scalable Financial RAG System FinQA: A Dataset of Numerical Reasoning over Financial Data

Reference 20

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source=arxiv_source observed=2026-08-01T06:25:06.312375Z digest=sha256:678d5bba55a7ff3debb5dcde224ce13f06c4739bd26d980c59ef3886bcc38951

Observation 0910597b-34bf-43ff-9690-ca7baec1dc3c · outbound

This paper cites ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering.

Hierarchical Reranking for Scalable Financial RAG System ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering

Reference 21

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source=arxiv_source observed=2026-08-01T06:25:06.316263Z digest=sha256:1ca8cb3e28e0cdcf3ce97bb4e44223606afb3c0aa5f4b3c6b8a6777caf624be4

Observation 57890db0-ff2a-47a9-b933-4ca4d344aec6 · outbound

This paper cites Zero-Shot Listwise Document Reranking with a Large Language Model.

Hierarchical Reranking for Scalable Financial RAG System Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 22

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source=arxiv_source observed=2026-08-01T06:25:06.319466Z digest=sha256:fe10ff913ab3871d11ff0aa6ead1ea8e5f17a6d70cf8f24364cd9f77745568bc

Observation 6046eab3-aa4a-4280-b80d-f4f6257f0412 · outbound

This paper cites Query Expansion by Prompting Large Language Models.

Hierarchical Reranking for Scalable Financial RAG System Query Expansion by Prompting Large Language Models

Reference 23

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source=arxiv_source observed=2026-08-01T06:25:06.323397Z digest=sha256:21ccbf4194424196a6c6549584bb6ffd26a297af73608d28d2a6c4a208896059

Observation 6cce52cf-c3d9-434b-bbe0-7e95eb6e92b3 · outbound

This paper cites Precise Zero-Shot Dense Retrieval without Relevance Labels.

Hierarchical Reranking for Scalable Financial RAG System Precise Zero-Shot Dense Retrieval without Relevance Labels

Reference 24

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source=arxiv_source observed=2026-08-01T06:25:06.327092Z digest=sha256:327496d0a03b57313306f66b70636faf8e15c581324c821e25e9f9c40bc63076

Observation 03b19da4-a2c0-4792-97d4-bef98813a7d9 · outbound

This paper cites 2024 , archivePrefix =.

Hierarchical Reranking for Scalable Financial RAG System 2024 , archivePrefix =

Reference 25

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source=arxiv_source observed=2026-08-01T06:25:06.331004Z digest=sha256:bef8508e5caf6480618d0d3230c8ce49f29ded056efaf744690ab981f7e9c07d

Observation df695c3c-4e6a-452e-b05c-1f0b3de69d23 · outbound

This paper cites A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.

Hierarchical Reranking for Scalable Financial RAG System A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models

Reference 26

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source=arxiv_source observed=2026-08-01T06:25:06.334584Z digest=sha256:097b758af573a726464fd45c408403889326d49eaaeee9aa933acc660d6c60bd

Observation 25c4e556-eb76-46c2-b04d-267856c1f629 · outbound

This paper cites Why Does the Effective Context Length of LLMs Fall Short?.

Hierarchical Reranking for Scalable Financial RAG System Why Does the Effective Context Length of LLMs Fall Short?

Reference 27

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source=arxiv_source observed=2026-08-01T06:25:06.338637Z digest=sha256:97e7ca00a157b3a712be969020ba26795152c4f42bd2db523764b961b3f2d149

Observation 41aa66a9-b522-465a-a7b9-aff427fb6a67 · outbound

This paper cites Compressing Context to Enhance Inference Efficiency of Large Language Models.

Hierarchical Reranking for Scalable Financial RAG System Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 28

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source=arxiv_source observed=2026-08-01T06:25:06.342561Z digest=sha256:7007aacaffdbba7fa3630b58ca1fa0760ab37a6fd7d3beeb1ad750c6956297c5

Observation fa463aff-c46d-4c44-a96b-a282b8fba7ef · outbound

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

Hierarchical Reranking for Scalable Financial RAG System A Survey on LLM-as-a-Judge

Reference 29

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source=arxiv_source observed=2026-08-01T06:25:06.346394Z digest=sha256:68c8a781e4f9a33602e88ecb53c882d1e6cb7effd39f19e313ea42ba1c19e07e

Observation 2b4df5bf-cc13-4ca0-b559-5b763cd639d6 · outbound

This paper cites Ascendra: Dynamic Request Prioritization for Efficient LLM Serving.

Hierarchical Reranking for Scalable Financial RAG System Ascendra: Dynamic Request Prioritization for Efficient LLM Serving

Reference 30

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source=arxiv_source observed=2026-08-01T06:25:06.349588Z digest=sha256:2fa32b8a96f89f4166b90edd734f61a527b6c247b54c884423aca5ecb2a17d42

Observation 6d248f91-7e0e-474c-b084-0b7723bad169 · outbound

This paper cites 2024 , howpublished =.

Hierarchical Reranking for Scalable Financial RAG System 2024 , howpublished =

Reference 31

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source=arxiv_source observed=2026-08-01T06:25:06.353597Z digest=sha256:efcb4a5b1023d61a4b7183e63fcbc09080d762969388c427a25a62b54c57477e

Observation fb6d27c8-9e52-480c-8169-67556eab3b78 · outbound

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Hierarchical Reranking for Scalable Financial RAG System 2024 , howpublished =

Reference 32

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source=arxiv_source observed=2026-08-01T06:25:06.356826Z digest=sha256:684bcb53edd9c7b416de837814e1f3a14fb927dce37b6192fbe78626e2c3c35f

Observation 1be4e92e-4d21-47b5-8298-65abcac3ac12 · outbound

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Hierarchical Reranking for Scalable Financial RAG System 2024 , howpublished =

Reference 33

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source=arxiv_source observed=2026-08-01T06:25:06.360350Z digest=sha256:2459cf9162cfa79fc1019dae2a595ded89924ba4e24f1deaa67adf184f3fd909

Observation f70bd4f8-8cf4-4613-8eba-c600331b1709 · outbound

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Hierarchical Reranking for Scalable Financial RAG System 2026 , howpublished =

Reference 34

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source=arxiv_source observed=2026-08-01T06:25:06.363445Z digest=sha256:307517a9718e665f8d353fe2b008636d84018ad3855cc8c6a278c150c475fc78

Observation d7b7067c-c762-47af-9600-e7cec7316c42 · outbound

This paper cites 2026 , howpublished =.

Hierarchical Reranking for Scalable Financial RAG System 2026 , howpublished =

Reference 35

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source=arxiv_source observed=2026-08-01T06:25:06.366378Z digest=sha256:a6cc89ff1967b27f388ee8523bb325a95e5bd886151e71c552808ca2e76454d0

Observation 45ab4152-2e92-445f-bdeb-5e72c5713d3e · outbound

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Hierarchical Reranking for Scalable Financial RAG System 2026 , howpublished =

Reference 36

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source=arxiv_source observed=2026-08-01T06:25:06.369395Z digest=sha256:57cf00974ef5f6a5e8bcbb32548eb6d53b020cb44f074bb182b96b0fed10a8cd

Observation 1cf57f35-f5c4-4982-9f56-f7526dfa3d18 · outbound

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Hierarchical Reranking for Scalable Financial RAG System 2026 , howpublished =

Reference 37

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source=arxiv_source observed=2026-08-01T06:25:06.373103Z digest=sha256:774f3bd574b648b0d28ddf0b8d7ddd112f9532bd8ae99dd11fc5872911f863bc

Observation 2c2d92d6-ab64-446f-9adf-82c88de74f43 · outbound

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Hierarchical Reranking for Scalable Financial RAG System 2024 , howpublished =

Reference 38

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source=arxiv_source observed=2026-08-01T06:25:06.376255Z digest=sha256:f309a581e5c9d5fe624461abba67328a3dd12de5446ebac177995befbfa4fe3a

Pith citing papers

No inbound Pith citation observations are available.