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Paper Citation Record · LEDGER

Financial Report Chunking for Effective Retrieval Augmented Generation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2402.05131.

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

pith.paper-citation-record.v1
2402.05131 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 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 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:51:25.809159Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

16
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 461d3273-dd9a-401f-913f-138a29eac8c3 · inbound

Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis cites this paper.

Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 18

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no resolver link, observed 2026-08-12T19:17:07.313140Z

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source=pdf_text observed=2026-08-12T19:17:07.313140Z digest=sha256:72ca111c725fb30eab020239418cae688ea4c9f60ad1e738b866d5029e8504f1

Observation 9d454b40-a04d-43f3-aba0-e9d8be788944 · inbound

Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge cites this paper.

Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 2024

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no resolver link, observed 2026-08-12T14:16:19.178401Z

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source=pdf_text observed=2026-08-12T14:16:19.178401Z digest=sha256:5346073c9acd5b227702636763939d245b39fea001a1d457bcfbb60b9d7be09f

Observation 24b409f6-c3df-46a9-b40e-b073ba762603 · inbound

On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing cites this paper.

On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 2024

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no resolver link, observed 2026-08-10T22:20:27.988163Z

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source=pdf_text observed=2026-08-10T22:20:27.988163Z digest=sha256:1800d9e12153c6b59c4df0f51dae397a6308b71a93fb99452f3cb1995e4c6b6c

Observation b63c64ad-4049-4f7d-9c78-d6026289ef7d · inbound

Multiple Abstraction Level Retrieve Augment Generation cites this paper.

Multiple Abstraction Level Retrieve Augment Generation Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 62

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no resolver link, observed 2026-08-10T05:33:52.497240Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:33:52.497240Z digest=sha256:40cadd8a02b32879ea4357d601409a3afad2959653ec94fee76099815f7a8ec6

Observation 3b38283f-3143-4b8f-b5cc-24b16ec8eb03 · inbound

LLMs to Support a Domain Specific Knowledge Assistant cites this paper.

LLMs to Support a Domain Specific Knowledge Assistant Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 75

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no resolver link, observed 2026-08-08T23:35:38.629169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.629169Z digest=sha256:6e4727855007f2d229c91631d4e58f56542217c9d7d58c89cb64ec7d118415c7

Observation d9c48249-c003-4ad8-9dbe-f4d75f5c2f2f · inbound

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey cites this paper.

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 221

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no resolver link, observed 2026-08-08T19:15:25.717895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:25.717895Z digest=sha256:b8b08fdf9eb6067298316332bfba133fc61777d2b3a35a91fc94c01f966d5c1c

Observation f4e2fe09-a6e5-4a8b-9210-9b37e39c97a3 · inbound

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering cites this paper.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 2024

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no resolver link, observed 2026-08-16T11:51:25.809159Z

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source=pdf_text observed=2026-08-16T11:51:25.809159Z digest=sha256:aca4e3ca6b55d315cb89e989d5038de9466a4e981cd7a90d76adeac8790f165a

Observation d1be0018-7241-46f7-9cc7-672c426c7992 · inbound

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey cites this paper.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 32

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no resolver link, observed 2026-08-16T11:40:41.565954Z

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source=pdf_text observed=2026-08-16T11:40:41.565954Z digest=sha256:ca57a40218dd46feabe51357e2d964bdf4ae6d93c46a279d31cd8740087b06c1

Observation ccd4e20c-636d-482b-adfb-d59a43cfa441 · inbound

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation cites this paper.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 33

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no resolver link, observed 2026-08-16T11:20:18.702161Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:20:18.702161Z digest=sha256:747b9a098c5b7c07ce8892c75c27239ef286b46a00953a79a34e12d29d115a68

Observation f997fdad-2796-4464-978f-cdb15d916e68 · inbound

A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking cites this paper.

A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 37

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no resolver link, observed 2026-08-16T01:03:21.616864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:03:21.616864Z digest=sha256:7859ebf50eab8e5aa34c44e66fe68c2f77a497936783144048484ef482f99184

Observation 4796b999-d99e-4a4a-9fd8-3a63dacb6d6d · inbound

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models cites this paper.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 35

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no resolver link, observed 2026-08-07T14:10:29.479041Z

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source=pdf_text observed=2026-08-07T14:10:29.479041Z digest=sha256:31fba5ebb9ad66e2f50c3b995b9b33dd3bcc9d5ed4148df20823937765321fe4

Observation 626f72ee-d3a1-4ed2-b0ce-270768c27d70 · inbound

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning cites this paper.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 4

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no resolver link, observed 2026-08-07T05:28:46.144355Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:46.144355Z digest=sha256:7f3e823146ced18c133c3ae2d1cedaa1987c673241ad29281a359162a08d33a9

Observation f5714205-d2d2-4e5e-9bd6-42508ae27c3e · inbound

Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation cites this paper.

Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 9

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no resolver link, observed 2026-08-07T04:09:27.017320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:27.017320Z digest=sha256:c984a660eb2d119df0507480ee6c49bf71be60f3a30b2cc4fa4384172635ddc1

Observation c4f8a86b-7efd-4918-9091-28d85d74fdd4 · inbound

MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering cites this paper.

MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 22

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verified exact
arxiv_id, observed 2026-05-19T07:22:09.226042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T07:21:12.441133Z digest=sha256:bff88f4cca52995d263cfcbafaff94469489a4e60a9c151e00580b78aa1f9ec9

Observation 184f49b6-4536-45d3-9c17-17f6cc1e5798 · inbound

CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics cites this paper.

CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 45

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no resolver link, observed 2026-08-05T17:24:24.038647Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:24:24.038647Z digest=sha256:97ac90976833f6510b2e5d735688991f20a680676e48fd0dce830a7b5a863d3a

Observation de2225aa-42f3-4d5d-abe1-a861d74aa5b9 · inbound

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs cites this paper.

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 54

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no resolver link, observed 2026-08-05T14:39:42.475712Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:39:42.475712Z digest=sha256:e274be41c5035b1507271d15d9c58fba3958968eb0c71f070512e2046ec42b60

Observation 44b28132-4553-45cc-bb09-d727bd8f8ec4 · inbound

A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives cites this paper.

A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 157

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source=pdf_text observed=2026-08-05T13:20:39.316685Z digest=sha256:83fe0980ed7780675169d6383bad641c13171c102cbe23ac44bf586cce9cdba8

Observation 96c1a30c-0adc-4e87-84c8-66460423126d · inbound

PG-Agent: An Agent Powered by Page Graph cites this paper.

PG-Agent: An Agent Powered by Page Graph Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 48

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no resolver link, observed 2026-08-05T15:29:44.883813Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:29:44.883813Z digest=sha256:f6f0faed06e471828071c24e966ebb045edea0018a8bd18b3be78b3058cb41ec

Observation c2963e52-f081-495a-8401-2bb07e1f892d · inbound

Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models cites this paper.

Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 33

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no resolver link, observed 2026-08-05T05:14:15.098696Z

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source=arxiv_source observed=2026-08-05T05:14:15.098696Z digest=sha256:5aec37eb872f2ec2931cb736db4bdebf63b43267388749cccfd1c5f9bfb92586

Observation 06b3a6ac-a410-44f3-81de-150fe5d1151e · inbound

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) cites this paper.

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 59

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verified exact
arxiv_id, observed 2026-05-18T17:42:46.392232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-18T17:42:34.395450Z digest=sha256:a7e4e0bf45932023b38b21fceabc21effcf0f9c838338958a2bed7ec9170fb77

Observation 0440f7a1-517e-4025-857e-72388347138c · inbound

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) cites this paper.

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 59

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no resolver link, observed 2026-08-04T18:57:21.803131Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:57:21.803131Z digest=sha256:91225e197a151d250b93ac12e180d918752e26cb16026696b3e753cdaa34ca69

Observation 4b078b5d-e628-47a5-8d22-bb0e82e3575d · inbound

RefineRAG: Word-Level Poisoning Attacks via Retriever-Guided Text Refinement cites this paper.

RefineRAG: Word-Level Poisoning Attacks via Retriever-Guided Text Refinement Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 27

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arxiv_id, observed 2026-05-11T05:16:04.848856Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T18:13:22.221234Z digest=sha256:b0792646ced76a4e811a7419bda5a25a40a7183be8da4b71514083d25d55e574

Observation 039b3a63-bfd9-4111-98a6-a68e48c1a0c1 · inbound

Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG cites this paper.

Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 49

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arxiv_id, observed 2026-05-11T10:51:03.938630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T15:17:27.749792Z digest=sha256:eb28c0cdd90b0b99b1dfb2231e9abeaf2ed0e5adf1de4220c2a958c20eb68785

Observation 9213e37e-8dae-4288-9946-d365150b500f · inbound

Adaptive Query Routing: A Tier-Based Framework for Hybrid Retrieval Across Financial, Legal, and Medical Documents cites this paper.

Adaptive Query Routing: A Tier-Based Framework for Hybrid Retrieval Across Financial, Legal, and Medical Documents Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 52

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arxiv_id, observed 2026-05-10T14:45:41.518979Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T14:42:00.856705Z digest=sha256:e6493b376116ea9c7a35390c2be76feceece5f9d9e7b3659d763a849f2aead96

Observation b3db0311-e90b-425e-9807-b24320a23165 · inbound

Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints cites this paper.

Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 18

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arxiv_id, observed 2026-05-11T12:01:05.395330Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T04:21:20.729928Z digest=sha256:03340875c625902dc6be2874dba6e15d61c31517e1c295491cb44a4efd1ce9b9

Observation fafbe956-f4be-42a3-933b-e5961588c21b · inbound

Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints cites this paper.

Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 18

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arxiv_id, observed 2026-05-12T07:46:41.252363Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T01:56:16.227411Z digest=sha256:9b71b00c9cf5f6142bcde480bfac9a6449a496fc00140a9284060a6220ddc6ae

Observation 50c7e38a-8b3f-46c4-8460-9154d09f1d95 · inbound

IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review cites this paper.

IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 10

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arxiv_id, observed 2026-05-11T14:41:13.065346Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-09T21:18:40.596340Z digest=sha256:751bd9d194e13beffa8fe3fd686e2aff81c5daa15de85ec9762b67b8a2e7fb81

Observation 0c189861-87a7-4413-9232-aaf3e6b578ef · inbound

SHM-Agents: A Generalist-Specialist Integrated Agent System for Structural Health Monitoring cites this paper.

SHM-Agents: A Generalist-Specialist Integrated Agent System for Structural Health Monitoring Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 53

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arxiv_id, observed 2026-06-30T21:55:04.848373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-30T21:50:07.617384Z digest=sha256:cf54876b76027526c7dcd8a5a8f15966b07fbe70c38b26ff367eb54636798a19

Observation 5ce10027-8403-4cac-bf61-d38b5a689119 · inbound

MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration cites this paper.

MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 8

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arxiv_id, observed 2026-06-30T12:34:38.865522Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T12:27:46.629948Z digest=sha256:d909b7fad4ce07d74b0df903bc34895776c14caea18e7401a3a5f89680650357

Observation 6e1d5f21-a377-4296-9da1-f4622e833526 · inbound

LEDGER: A Long-Context Benchmark of Corporate Annual Reports for Grounded Financial Retrieval and Extraction cites this paper.

LEDGER: A Long-Context Benchmark of Corporate Annual Reports for Grounded Financial Retrieval and Extraction Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 12

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arxiv_id, observed 2026-07-03T14:08:22.494503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T07:09:33.306631Z digest=sha256:46231b485bb460c38d97508b503f731e51ce0b94fcefb3be7461d17b75ddf95f

Observation 1080e606-59ee-4016-b310-a7666e411d53 · inbound

FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming cites this paper.

FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 48

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verified exact
arxiv_id, observed 2026-07-04T04:09:34.737490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T17:11:40.088809Z digest=sha256:a29b001f25f0f75cc3075ca3bacbd9041a1a2407756a3932ff2f639cd2e27540

Observation aeccf0d3-6f39-4c3d-a140-8903fd7513f9 · inbound

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts cites this paper.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 14

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verified exact
arxiv_id, observed 2026-07-03T06:57:42.241736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-03T06:57:26.465300Z digest=sha256:eaeb641a8b304382efddb523d766ef68f3096a285a1bb3b74dcd8e930ccd425e

Observation 1e27d5e9-cf8d-4fb0-9bb8-f1826c16a58f · inbound

FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering cites this paper.

FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 52

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no resolver link, observed 2026-08-01T16:10:06.589066Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:10:06.589066Z digest=sha256:6bda2044b7a6b535d91029bd37a5800a67cf6765ea7507b6670eec3f8ff2eb95

Observation 7519f3a0-28d0-4609-a3f7-88a2a102bccf · inbound

The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance cites this paper.

The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 5

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no resolver link, observed 2026-08-02T11:59:50.811005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:59:50.811005Z digest=sha256:5cf09abf5e6d473008e2ac264949dd29f17f8254371e11114848009d94cc4fd4

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

Hierarchical Reranking for Scalable Financial RAG System cites this paper.

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

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T06:25:06.257886Z

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

Observation ea03d399-90d3-4dc5-a914-f688b120cb1e · inbound

Bridging the Question-Answer Gap in Retrieval-Augmented Generation: Hypothetical Prompt Embeddings cites this paper.

Bridging the Question-Answer Gap in Retrieval-Augmented Generation: Hypothetical Prompt Embeddings Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T07:44:26.184995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:44:26.184995Z digest=sha256:b263bc486d9af84df791e59f2d907656118c7b1e3dd62eec1bb0570b1faa8994