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Paper Citation Record · LEDGER

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering

As of 20 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2504.14493.

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

pith.paper-citation-record.v1
2504.14493 v4

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:51:25.971974Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:12:43.649649Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T14:45:40.673561Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved51
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 660f785f-e144-4931-80c9-405d5dc436a8 · outbound

This paper cites Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation

Reference 1

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no resolver link, observed 2026-08-16T11:51:25.732905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.732905Z digest=sha256:e14841f3df88b8bda12285a58a7e3992a15095dbbf84e0af4d2edb32910104fe

Observation 29fdfc25-d2f6-4cf2-b7be-e090a1da8f3c · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-16T11:51:26.894581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.738352Z digest=sha256:8629b0cf9bf688eca0e81a254b2fe1470ae7865b3cd8c722d4fcf7e7a92d64bb

Observation 6d9149c7-7e51-4000-9116-940bcd5a27b2 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-16T11:51:26.882876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.742695Z digest=sha256:b7177e6b3d79ef894a4153ffdfbbe6b6114c4ed812672cdd980f7f77e559e216

Observation 9f43fe6b-4dfe-4580-ac04-462a3125aeea · outbound

This paper cites Injecting the BM25 Score as Text Improves BERT-Based Re-rankers.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Injecting the BM25 Score as Text Improves BERT-Based Re-rankers

Reference 4

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no resolver link, observed 2026-08-16T11:51:25.746815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.746815Z digest=sha256:0e3f4567ff7227d29089d6ec7586765f5f8de94d594b419c794dc42977558be8

Observation 63b51a82-60e8-40a9-bcb9-96e05accda04 · outbound

This paper cites Seven Failure Points When Engineering a Retrieval Augmented Generation System.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.751245Z digest=sha256:bbb710680f5c5746602258d851a760b4afac598a630a4ca7da7fd0ada464a62b

Observation f318f973-28ff-4656-b40e-f7336e91b2d3 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-16T11:51:25.755657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.755657Z digest=sha256:8ca6ce427d663a6e9bf5c99f32874a0b0bfb8d8132b16a48294bfab8bfe69ae8

Observation 5f620b1c-93ea-4ce9-93bc-d4364e04a6fc · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 7

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no resolver link, observed 2026-08-16T11:51:25.760771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.760771Z digest=sha256:3724f558663fc075aac757cef0947175d80743168a5dc0bea2231e271f5ab054

Observation d799d504-dd78-4b82-be94-d8455c9609be · outbound

This paper cites Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.764891Z digest=sha256:bb5d84f81123e78ff81f1c485a44c6060ae405335a6ce47ce0571855da337d79

Observation 72ef5361-75d1-4734-92c6-0ccd8b394243 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-16T11:51:25.768953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.768953Z digest=sha256:edfda70cbbcfc5458049b6946fa71ba7225be3919d4ff86bf8fb959e2b359297

Observation bdf3cf1b-bafa-42cc-87e5-093ff733e7b2 · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.772793Z digest=sha256:8c90edeb588ad862a759860e257b3e2c50315b4d9fa3e1106d7731a8d8f898c9

Observation d477eca9-1d09-4f7b-82bf-db6e5d84a484 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 11

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no resolver link, observed 2026-08-16T11:51:25.777201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.777201Z digest=sha256:23c684916311f970363da2ba3e4f06baf50ba99511f031d2092ca221527c33f8

Observation 64b3ffef-a1a3-4502-9576-02974acad874 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 12

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unresolved
raw_fallback, observed 2026-08-16T11:51:26.868661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.781255Z digest=sha256:a50a812c0f3bcefcb98838e97cbed013745d539aedcd14b75960da2c8d1f7c6f

Observation a28aacbe-5c76-4087-8710-a64c4e80a749 · outbound

This paper cites Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.785140Z digest=sha256:67be12664a1d7806230a938e2a05cd4f50d3e4cdd916f5bc6119e8bd560802c0

Observation 249d1926-7919-41ef-9701-4a92358f8161 · outbound

This paper cites A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.789137Z digest=sha256:2decdf7f3b6fcec641c35b622e5896cd0ee6214f0df2b3df715db3adc784c2ae

Observation 003bafc2-83d2-44ce-a715-104a5105eba0 · outbound

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

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering FinanceBench: A New Benchmark for Financial Question Answering

Reference 15

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no resolver link, observed 2026-08-16T11:51:25.793447Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.793447Z digest=sha256:89ffdf3e5754b50dceef3320433ee45737de9d135f00ade6f2ea082bec512272

Observation 55906ccf-495e-4d7d-ab8d-b2ba9bd4d1d5 · outbound

This paper cites Drowning in Documents: Consequences of Scaling Reranker Inference.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Drowning in Documents: Consequences of Scaling Reranker Inference

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.798455Z digest=sha256:db8a46841c494426c6f484e8929f30f0af926538c2c37d5042bacab262389b6d

Observation ac79cf81-2572-42f3-99ac-37726bf2c2cb · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 17

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unresolved
raw_fallback, observed 2026-08-16T11:51:26.857077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.803908Z digest=sha256:bb4cd7c6972a709c5f777cf87d53cacaab544e2916fe3171239563dba2a723c7

Observation bf3ea26d-2b2f-40e2-8588-b4f97a96073d · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.814039Z digest=sha256:987689650bfdc7bff352511a5f977d3a9eefebab31bedc084482ea76e18c4beb

Observation c9f5c4fa-92aa-4c9f-ae0f-0f23e0ff7b0f · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.818119Z digest=sha256:4063fb91fc9c4aef56a83a9ae094b1c7da1f44d12e7ab039a925e7b01eb1b4ae

Observation 7007cfef-ca72-4584-ad9d-22cccd065f4f · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 20

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raw_fallback, observed 2026-08-16T11:51:26.828282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.821910Z digest=sha256:b61c26fd1b002ee3d32d8e169e59172919fd1ce3fbd309cf4e1efc4fc707c610

Observation 4dccb61d-680e-4e8e-89c6-a49b39a864af · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 21

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malformed identifier
no resolver link, observed 2026-08-16T11:51:25.826192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.826192Z digest=sha256:ff4853e31a5714383cb601f52054e4900661f03aea0f498bd9b357ceed712d76

Observation bf083a6a-3ac2-4506-8717-d8d2177398cb · outbound

This paper cites From Matching to Generation: A Survey on Generative Information Retrieval.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering From Matching to Generation: A Survey on Generative Information Retrieval

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.831078Z digest=sha256:725e5512cdeeae8079854cced1454b4b769b225b39e4e4b9250de4081ac8edf5

Observation bfb68198-db58-4296-a4a9-7d9e5bddb901 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-16T11:51:25.836249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.836249Z digest=sha256:899042855fe883e9677824dbba3d85b374b29422f05c62406294bb7b880461fb

Observation 3db4f657-76e8-4fea-ae73-92025f77ac7f · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Lost in the Middle: How Language Models Use Long Contexts

Reference 24

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no resolver link, observed 2026-08-16T11:51:25.840006Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.840006Z digest=sha256:e94797eba89e748f4b10fb885e75b09f9fc8c8c8f69715282b192eae69d26c28

Observation f752cf81-a942-422b-bb51-9a943e460a93 · outbound

This paper cites RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback

Reference 25

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no resolver link, observed 2026-08-16T11:51:25.844260Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.844260Z digest=sha256:3a4be3ef85fd8081b800c52225872235228c77caad794817cc8be9c0e58f405e

Observation eb835f6c-0dad-4de4-b170-7bce2b7e07d8 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-16T11:51:25.849149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.849149Z digest=sha256:acf4eb53c30cbc2943a3d7d2dd30bd5837a149db3b1aa8785376218d15cbb846

Observation 2ac286b5-90d8-4a36-91d7-5f5b20280a3d · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 27

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raw_fallback, observed 2026-08-16T11:51:26.816010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.853268Z digest=sha256:6642e915fe84a37587ac8ed036c01fc17e71edb01b421eef9666fdb25890161b

Observation 0648f9d9-a4be-40f9-ac2e-2cacc70fc5e9 · outbound

This paper cites Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods

Reference 28

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verified exact
local_arxiv, observed 2026-08-16T11:51:26.022772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.857055Z digest=sha256:85292cfee8d8c43f098aafa91e648a47f789fceb51d29c0652c3b5d46ee56282

Observation 848a6765-9d30-4eec-af8a-2a03930fdbc6 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-16T11:51:25.861220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.861220Z digest=sha256:65fc0438478136c842aad2258b35a13eb5dc3ad4ff237237cf7b7a6ee7406557

Observation 051194ed-f610-4ee6-8436-78db0429e14c · outbound

This paper cites Recommender Systems with Generative Retrieval.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Recommender Systems with Generative Retrieval

Reference 30

Resolution
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no resolver link, observed 2026-08-16T11:51:25.865013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.865013Z digest=sha256:76302bba1f1fd10ab7d7490b3f6c3f4f4d42ed909c7b935ae166d81d51794e19

Observation 86102f48-041e-4134-a937-48bca6faff94 · outbound

This paper cites Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.869361Z digest=sha256:3f6df649f5370a687b8694e87ff51b0abdd05e8000f4e9ae77f70f358b33cd8c

Observation 7d8ee809-e96b-4b9e-a316-a1f5b7cff272 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-16T11:51:25.873446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.873446Z digest=sha256:d96619ce7f895f8f4e797eda75efe927a6671ef90596da3f1021f9e8d80e54cb

Observation 69919309-a981-45ea-99a0-704044ffbd35 · outbound

This paper cites Ensemble of MRR and NDCG models for Visual Dialog.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Ensemble of MRR and NDCG models for Visual Dialog

Reference 33

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no resolver link, observed 2026-08-16T11:51:25.877983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.877983Z digest=sha256:aa8858b181a05352dd993cf69de546344d1eecd47395fbaf505803b8b949911b

Observation 37fd64c1-aadc-4af9-a19e-47a0a8b9be7c · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:51:26.794727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.882890Z digest=sha256:3ed5bc3fd6d5c91c905009ed57a35968a56fc7d388bd71111731ac8881be1319

Observation 76be489c-92c0-4df0-8ab6-a4a6b1ee2fa4 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:51:26.780690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.886690Z digest=sha256:19a855540698b0e6692d186b267cbbce098cfd98ba02f160acc253d71fe5813b

Observation 6a7029e9-74fd-4747-8c3f-a9699d60dd14 · outbound

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

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Improving Retrieval for RAG based Question Answering Models on Financial Documents

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.890574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.890574Z digest=sha256:bddc766769a1bb5a7620f27ef533c81745262b8788105d53dcbcc0ea819a1a09

Observation 82206600-cbca-4ec6-a1a5-b8d1dd20cf0a · outbound

This paper cites Multi-Document Financial Question Answering using LLMs.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Multi-Document Financial Question Answering using LLMs

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.894555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.894555Z digest=sha256:38f29ffec8669a9b5dce47ff174f79f273a70578f383ba422fb52e2ee4b87998

Observation 85858d13-8d19-47fd-a3b1-50a6d7b2fa74 · outbound

This paper cites Domain-specific Question Answering with Hybrid Search.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Domain-specific Question Answering with Hybrid Search

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-16T11:51:26.275215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.898477Z digest=sha256:167d3b75694ddaa09e9b3d692e8a429007317e833b43e63dd8cfb175fc0d93ab

Observation d8f34b6b-42e5-4302-9d0b-523a7745ef74 · outbound

This paper cites BioRAG: A RAG-LLM Framework for Biological Question Reasoning.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.902335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.902335Z digest=sha256:d149f6b0af03d4c0d8dd15a2622342d23a6a89fb1caee6e0e6fe6b5b1c043a16

Observation 75f6eac2-4189-4bf1-b563-6fe517828379 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:51:26.767854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.906983Z digest=sha256:697ab6de3858c96cc11bf61adf8cc235e20ac1d835ad90cfe4832d7e4995c8d5

Observation aab7542b-bb6a-469e-b60f-c2123aaf5aac · outbound

This paper cites MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.910844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.910844Z digest=sha256:97845090de156cf7ccc28a580c813e00be1632fe4762cf5de446e6d943954707

Observation 0135e2f2-4814-4c00-b37f-efdbab1cb078 · outbound

This paper cites Suchow, Xiao-Yang Liu, Benyou Wang, Alejandro Lopez-Lira, Jimin Huang, and Sophia Ananiadou.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Suchow, Xiao-Yang Liu, Benyou Wang, Alejandro Lopez-Lira, Jimin Huang, and Sophia Ananiadou

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:51:26.756658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.915365Z digest=sha256:738e49cc742837601f7eedfff54f34a07a0ebfa2714b90f51b34b0d6a18f2d14

Observation aadc4bae-07af-4e30-9b77-cf23e949411a · outbound

This paper cites Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.923298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.923298Z digest=sha256:6f55c6d4f20796f28951242b0acafcca180c7cdbed3c438b9d305f2c482c2c72

Observation 43d10eb7-7396-42df-8da9-1e2f6f279358 · outbound

This paper cites Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.919431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.919431Z digest=sha256:9031243c691dd2ea7a2f158d30301179e4b8ca679a623dad39efbae9cb599dd5

Observation 478cf89d-754a-4401-ab8f-cf4eace7ccbf · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:51:26.732929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.931432Z digest=sha256:abd0567a1320e979cd75f39ed760d6cc476250aa462d64abe90688c548a6f737

Observation e3265965-aab8-451d-8fbc-ed01632faee8 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:51:26.744587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.927582Z digest=sha256:113d85ae5c13570aedaed2a236321104f59302e6178bde539d47f0b87ace3c9c

Observation af985db4-9e83-4482-8573-9aed9cac5254 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:51:26.721618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.943797Z digest=sha256:50ed30d1763d732f590fb345304d936629a7876fba82f7d71fc88ef7fe18ae85

Observation b1842cde-33c5-4c9f-a6af-8bd848845474 · outbound

This paper cites A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.935222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.935222Z digest=sha256:8063536f0258b31787eed6593da24de88a13c00ddf542c8c2449db6887f38ef9

Observation 21fe03a6-f62e-4fea-a7a9-13ee3482cf65 · outbound

This paper cites Self-adaptive Multimodal Retrieval-Augmented Generation.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Self-adaptive Multimodal Retrieval-Augmented Generation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.939977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.939977Z digest=sha256:8af4ad5dd24be20a01189fa6a4ffc20a459defef9edb97703c70d0c9f787c700

Observation 425d1641-9254-44e9-b2b3-cbde80fc93fb · outbound

This paper cites LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.960030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.960030Z digest=sha256:4d15a4d748d79724b7c9b3e453e900d4a3e7d1c32d0cf0b31f259b75ff5e45b3

Observation f1421ea7-2873-4101-90be-b90cae93bae2 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.963881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.963881Z digest=sha256:f27a96c45d9bf07be438b158263f76a4ec43a068de969dfe157055e20db03eb3

Observation 171f53d3-def4-4bf4-ab65-cffdabd7b6a2 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.951923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.951923Z digest=sha256:8cbeed418dc2f4875c2d80f66d76d74056b4d9df6cac861a3efcfe41e4be8fe1

Observation 009e0e6e-61ba-4dba-b0a8-fb3545aefc15 · outbound

This paper cites an unresolved cited work.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.956180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.956180Z digest=sha256:da128be01233a6e4ecdddd4d87bac89cc396724c9efdc9add7e4fa146cbd2725

Observation 61d80372-893e-4557-9d7b-279474074a80 · outbound

This paper cites RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 56

Resolution
malformed identifier
no resolver link, observed 2026-08-16T11:51:25.967835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.967835Z digest=sha256:b8f90d7bbee16c5cb47d4549701c779750b85ca1ace5c3a58b27e7e4e3ec360b

Observation f35ed8bf-b4b7-4fdb-a047-1380d8e50880 · outbound

This paper cites previous.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering previous

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:51:26.702958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:51:25.971974Z digest=sha256:f53419bd57632b8d0d76b7e38f992a425a2ce4331052187aaf7be0b59ae2fa32

Observation c4a50b34-87b0-4b50-b6c7-868954458ff7 · outbound

This paper cites MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.947813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.947813Z digest=sha256:af82b71754c083f2c9d4110bd433a901162132f7ab402c404e3ddffefef386da

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

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

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

Reference 2024

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.809159Z digest=sha256:89bd905d9a5bd8e45a350832b7037bc525de6e9de6ed21fd901067dc4075c961

Pith citing papers

Observation 30e143e8-5b74-4fd0-8905-8ba6420b4626 · inbound

A Role-Aware Multi-Agent Framework for Financial Education Question Answering with LLMs cites this paper.

A Role-Aware Multi-Agent Framework for Financial Education Question Answering with LLMs FinSage: A Multi-aspect RAG System for Financial Filings Question Answering

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T16:12:43.649649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:12:43.649649Z digest=sha256:5906368af0bc3e2bea8d08d28999807df8d3bca64ac6cd11e66a8b9312087918

Observation a4115a29-6dc6-4947-9d1b-fa0d9dc78e46 · 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 FinSage: A Multi-aspect RAG System for Financial Filings Question Answering

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:45:40.681768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T14:42:00.856705Z digest=sha256:438a8e7a8c291dd090a5e7a25bcb909b4eee4f0bce78988c9a4de419e6a9543a