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Paper Citation Record · LEDGER

Financial Report Chunking for Effective Retrieval Augmented Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 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 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:10:29.479041Z

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 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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:10:29.479041Z digest=sha256:f11ce8ed0b857c29ca567291af02d94fab04238f5e9a82ec01edeaee3de04678

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:46.144355Z digest=sha256:cd8d01a0bdc6f6f2b101a4dedcbba6aba56afa9c8a382f3a604d8324c09481fe

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:ca387b8a8f3ffea4107e223c162cc34667fc1667edd63ec2c1109dab8df048f0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T07:21:12.441133Z digest=sha256:0c33ef595757c763479da3bf1b3664c4bbe103021975bbb98d75c6135b472615

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:24:24.038647Z digest=sha256:e5df44b2272c6e523778153f57987190defe9915da856aec8580c5c86408f804

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:39:42.475712Z digest=sha256:714fa46723d260e60044578707b78f8b7cd0ae3517f7912a535e359eb9b7172c

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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no resolver link, observed 2026-08-05T13:20:39.316685Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:20:39.316685Z digest=sha256:73e0bc57f14a40accaa567e5d55482f2b78c953c029d67c599f380adadbc466e

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:bbcbfb55090709e44a04f2efab62cbe03011fd63e0809d897ce4616270a5dc26

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:14:15.098696Z digest=sha256:94ecddaec3cdcc895ed567105be5c37ed31675b05b40cbb8cd9459da95c4ea9f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T17:42:34.395450Z digest=sha256:223fd2da439e351c11895a2b40db30081c819b3b9df5440aace33b04b06f7a4e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:57:21.803131Z digest=sha256:5626322d938f1a401864cc2e98e1a2a3f4aeefc7b9678ae902639b8be0b31a7e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:13:22.221234Z digest=sha256:887dc9df1956975f34b20741e8e72a5451517a2e4cdd2edc17ab313e6116212e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:17:27.749792Z digest=sha256:6b36a20e1ca2e5fdd1211d2a5712cfd16e1e8956126c9603fcb6d91060277ce2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:42:00.856705Z digest=sha256:eb25df0049881a64a65b1edd2d9dad3032b42bc9405db383dec4e5f2d4767558

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T04:21:20.729928Z digest=sha256:22fa35c1b8fdc46a0511076fe45bdf84b0531f7927965dec41aebe02c5ac64d7

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:56:16.227411Z digest=sha256:762606904aa09b26f3da26cc81c0a421aed22c58bb0b2fe7cda3a546b9c1415a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:18:40.596340Z digest=sha256:273bda2b3216aeb6e33bba113516a58875f47bba121074fdfb6afb30aea5be76

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T21:50:07.617384Z digest=sha256:af7ae02436bb929a2c3a761b7561a2fef1e757cacf35debdf84ba6219454bc3f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T12:27:46.629948Z digest=sha256:ee9683d3f13e42449b93cdb27ee7589f60e4954c39173354846ee6faee5042f1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T07:09:33.306631Z digest=sha256:525d99dc4ee26c67d482403d7964f9401cee67b2079a943df105283bd5c01f19

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T17:11:40.088809Z digest=sha256:8bc71b1e72228cca18efaaf2ca46bad4faf12e488304c2ff74826cec10505c50

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-03T06:57:26.465300Z digest=sha256:f691eda02cc311ec68c49e3d9291c1b8113f707b51858661a1ebbf2782fa6d4f

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=sha256:995ed6f3c3b1e8b82fce74524dd998091ad273966137f49e344790a00e77079a

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:59:50.811005Z digest=sha256:fb9903d37f48d6e6b841f7bb9c6ea525e6856f148d754f5882bb58be64104f7a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:25:06.257886Z digest=sha256:780013251bc8342caaa0c85b23aff28cab0101fa4ca772a82e1134a6380a0211

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:44:26.184995Z digest=sha256:6d7d43ad7f4767e50474f355089d6215bbd1bd05a0b371931395a9d86f83cf85