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Paper Citation Record · LEDGER

BloombergGPT: A Large Language Model for Finance

As of 7 August 2026, this Paper Citation Record lists 100 of 140 outbound references and 100 inbound Pith citation observations for arXiv:2303.17564.

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

pith.paper-citation-record.v1
2303.17564 v3

Coverage vector

measured 100 of 140 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T23:19:46.231145Z

measured 200 of 200 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 100 of 150 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:40:53.157704Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T09:06:59.093499Z

Reference resolution

100 of 140 outbound references displayed

  • verified exact38
  • verified fuzzy40
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch19

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8691120c-ce9c-478f-bbb7-0201becb168a · outbound

This paper cites FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.

BloombergGPT: A Large Language Model for Finance FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 1

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verified exact
arxiv_id, observed 2026-05-15T20:26:05.149770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:d71937e7cea1617f123b9e21e1c030ea00f3f03ff2b4b11ada56f101955fc206

Observation 121b733e-a0c3-42e5-827b-250e51fa4c71 · outbound

This paper cites PLATO - XL : Exploring the large-scale pre-training of dialogue generation.

BloombergGPT: A Large Language Model for Finance PLATO - XL : Exploring the large-scale pre-training of dialogue generation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.956813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:038103e1a5c938394d29feacd7012ba8aaa6ac2eb78c8989739c7ba590ade431

Observation c4f4b191-1164-4fec-af1a-ae7b0f58df44 · outbound

This paper cites S ci BERT : A pretrained language model for scientific text.

BloombergGPT: A Large Language Model for Finance S ci BERT : A pretrained language model for scientific text

Reference 3

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.381846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation c36ee420-d7af-449e-886f-33c2eeed3a3d · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610--623.

BloombergGPT: A Large Language Model for Finance On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610--623

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.930181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:e96243571127a6fffb6f2c2261a1268d623a66fd364df3124e09da3b4470dfdd

Observation 3588d77c-8a42-4d40-aacb-26dc8cb358a2 · outbound

This paper cites The fifth PASCAL recognizing textual entailment challenge.

BloombergGPT: A Large Language Model for Finance The fifth PASCAL recognizing textual entailment challenge

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.012233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:9c82061e967481fbea89b1c08e63ea29e9fa8bc9ff56c0a0d68439e5db8df493

Observation 00e1c7ac-32f4-4f09-8af5-915bbe392498 · outbound

This paper cites The values encoded in machine learning research.

BloombergGPT: A Large Language Model for Finance The values encoded in machine learning research

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.151971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:04f089477bc909d6637462b7a46dbebb00185504d740b8e7db0faa519117bad9

Observation 30482f8a-8305-43d1-8a1a-43e35a6a0b63 · outbound

This paper cites PIQA: reasoning about physical commonsense in natural language.

BloombergGPT: A Large Language Model for Finance PIQA: reasoning about physical commonsense in natural language

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.125559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:29076e6568357951722445710b90b749184dd7b3dff0d33f4f31aea8c91b97fe

Observation dba84382-886e-4e42-a43a-0389ea149c27 · outbound

This paper cites doi:10.5281/zenodo.5297715 , url =.

BloombergGPT: A Large Language Model for Finance doi:10.5281/zenodo.5297715 , url =

Reference 8

Resolution
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doi, observed 2026-05-13T23:19:46.528243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:b336ef68b5b1b0f3a15e13072595a4bdea76e0fd0af947d5adc8f038176c2359

Observation 7a98386b-9aad-4557-8b5c-c0baf46e4eae · outbound

This paper cites GPT - N eo X -20 B : An Open-Source Autoregressive Language Model.

BloombergGPT: A Large Language Model for Finance GPT - N eo X -20 B : An Open-Source Autoregressive Language Model

Reference 9

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.532395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:64f621edd315cbc547d7677ba120069681f3edeac04e299c6e98a743f6d65021

Observation 17a588d7-e78b-4d6f-b225-4dec556dffd1 · outbound

This paper cites BioMedLM.

BloombergGPT: A Large Language Model for Finance BioMedLM

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.982918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:9bf5888d95408d04fd44d64ddb5551c3d0281f6e33a7faece44b1c29f475e5a8

Observation e718c7e0-b313-4399-85e4-1f2a38716985 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

BloombergGPT: A Large Language Model for Finance On the Opportunities and Risks of Foundation Models

Reference 11

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local_arxiv, observed 2026-05-13T23:19:46.605713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 72b11fd8-23c7-48bb-ab2e-3dd3a17244c8 · outbound

This paper cites 2020 , journal =.

BloombergGPT: A Large Language Model for Finance 2020 , journal =

Reference 12

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doi, observed 2026-05-13T23:19:46.571128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:12f3e7a2773d2e14e6dd27427a5decb9413d5277f409d14ff48c7f965f24f636

Observation 1910b2ef-8978-4ffd-86d2-f850b677728b · outbound

This paper cites Popat, Peng Xu, Franz J.

BloombergGPT: A Large Language Model for Finance Popat, Peng Xu, Franz J

Reference 13

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verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.975072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation b585411a-3885-4772-beb7-02a6cb54676e · outbound

This paper cites Class-based n-gram models of natural language.

BloombergGPT: A Large Language Model for Finance Class-based n-gram models of natural language

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.960509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:b0bf5afd4221918702d8e0ba19579a4a6826ac4ced3f1d317945a94eeaeb7a11

Observation 20cde712-610c-4cc9-89ca-69c940acdd74 · outbound

This paper cites an unresolved cited work.

BloombergGPT: A Large Language Model for Finance Unresolved cited work

Reference 15

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 93a1e027-1fb4-426b-990b-c409b446200f · outbound

This paper cites Brown, Dawn Xiaodong Song, \'U lfar Erlingsson, Alina Oprea, and Colin Raffel.

BloombergGPT: A Large Language Model for Finance Brown, Dawn Xiaodong Song, \'U lfar Erlingsson, Alina Oprea, and Colin Raffel

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.992134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 4ca9f5e3-0893-43e1-823b-a725d068665c · outbound

This paper cites Quantifying Memorization Across Neural Language Models.

BloombergGPT: A Large Language Model for Finance Quantifying Memorization Across Neural Language Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-13T23:19:46.611817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 1538bedc-91a6-442b-98e7-90d2e42c6447 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

BloombergGPT: A Large Language Model for Finance Evaluating Large Language Models Trained on Code

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T23:19:46.618158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:3d6e604ff8e45343a89ebe6c3a38aed20fb9231a39d609a93cd4573c65995aba

Observation 8612be7e-edfb-4383-9753-ca28d5d0c887 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

BloombergGPT: A Large Language Model for Finance Training Deep Nets with Sublinear Memory Cost

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-13T23:19:46.624925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:4ef48781719313a78f1aa4e3240a9d14f3c75525045b5ce4fa3e404cb433460b

Observation b1181017-3c92-47ce-b9e4-18ca7163d539 · outbound

This paper cites FinQA: A dataset of numerical reasoning over financial data.

BloombergGPT: A Large Language Model for Finance FinQA: A dataset of numerical reasoning over financial data

Reference 20

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.454202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:e0f793877da9ea61625f79555817f090c8089eead724ee8fcffb04e35357e71b

Observation 453e10b5-622b-4658-98c5-39388d1c3032 · outbound

This paper cites C onv F in QA : Exploring the chain of numerical reasoning in conversational finance question answering.

BloombergGPT: A Large Language Model for Finance C onv F in QA : Exploring the chain of numerical reasoning in conversational finance question answering

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.941431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:ae68fcd5242d5899adc865dd202e829c9be6390fe2e4f7bed17f94041598d4b1

Observation 2f8f4cc3-dcf7-4e42-bdc3-96760f7d7e76 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

BloombergGPT: A Large Language Model for Finance PaLM: Scaling Language Modeling with Pathways

Reference 22

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local_arxiv, observed 2026-05-13T23:19:46.631511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:b9c859a033dbc8befe494986f89eb7ea9f31532313d90fc9c16ba4c140f0b3e8

Observation 21430da9-f9e2-4c3f-b197-580069be3338 · outbound

This paper cites B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions.

BloombergGPT: A Large Language Model for Finance B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 23

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.472980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:93cb1ea50311ba83ca50175b9da0516c0a37d74737dcc47252919123a3289f03

Observation 34072e24-93b4-4b2a-983d-150aee65d509 · outbound

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

BloombergGPT: A Large Language Model for Finance Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-13T23:19:46.637437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:f05b876f5550a9d3867785c61ec788743c916b75ebe14f7f333890e4e56ac910

Observation d7b9bad9-6a9c-4b1b-a7ee-6be90f22440b · outbound

This paper cites The pascal recognising textual entailment challenge.

BloombergGPT: A Large Language Model for Finance The pascal recognising textual entailment challenge

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.909294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:34bfb950b12373cf445f4583d2e9cc92b23a8325c69391b2139f21d36f395d90

Observation 9ef1127f-0e04-4fb4-9331-dba06d43afa3 · outbound

This paper cites The commitmentbank: Investigating projection in naturally occurring discourse.

BloombergGPT: A Large Language Model for Finance The commitmentbank: Investigating projection in naturally occurring discourse

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.129475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:83b86e0985db48620d86d1c509df430057e6842512f8452d2e5ce7e8b4224a40

Observation d7b83eb8-5767-4f3f-bca0-4232b3a3b87e · outbound

This paper cites Bernice: A multilingual pre-trained encoder for T witter.

BloombergGPT: A Large Language Model for Finance Bernice: A multilingual pre-trained encoder for T witter

Reference 27

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verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.110251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:6770c65f2f0d34aebdba46a15ebec75030e89fe58102db1f0d21dab97a8524cb

Observation 698e1a14-9d75-4126-8173-12517d9fdfd8 · outbound

This paper cites 8-bit optimizers via block-wise quantization.

BloombergGPT: A Large Language Model for Finance 8-bit optimizers via block-wise quantization

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.101954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:2900b206f8a4179220bd4065d5fc084afe8c135550a92bf62eeefc279303955b

Observation 0533a175-170d-48d5-8eaf-c2abbc18e209 · outbound

This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.

BloombergGPT: A Large Language Model for Finance BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 29

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verified exact
doi, observed 2026-05-13T23:19:46.509485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:56e4d971f4bfd16771b6adb3c648b4fc33db9a4061f48dfc296e8a2be3f6d3e6

Observation 96befe87-3f3b-4cda-8651-509a68bfbf14 · outbound

This paper cites doi: 10.18653/v1/2021.emnlp-main.98.

BloombergGPT: A Large Language Model for Finance doi: 10.18653/v1/2021.emnlp-main.98

Reference 30

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doi, observed 2026-05-13T23:19:46.514217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:51a60ef33baf753f27b09059d48b793fa7db2392d8ae603aec1af1b621e81374

Observation 7ba472de-4fb2-4f19-8d62-4c722b5f3993 · outbound

This paper cites How twitter is changing the nature of financial news discovery.

BloombergGPT: A Large Language Model for Finance How twitter is changing the nature of financial news discovery

Reference 31

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verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.097248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:29139e74cceac9b7e962879f2f0da3e5ee71c7d30fd8628ad6908685d8b91577

Observation c8d804aa-4755-4e47-b6b7-a21a52d235aa · outbound

This paper cites Natural language processing in accounting, auditing and finance: A synthesis of the literature with a roadmap for future research.

BloombergGPT: A Large Language Model for Finance Natural language processing in accounting, auditing and finance: A synthesis of the literature with a roadmap for future research

Reference 32

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verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.093679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:232ad048682ab7d12498bd4d674bbef3868b4fb151c0ac6003d946eeea53d068

Observation fea63e41-66dc-46e4-8e2b-c77f94be09a1 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

BloombergGPT: A Large Language Model for Finance The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 33

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local_arxiv, observed 2026-05-13T23:19:46.642918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:59df9e0f2360f4d0af41f3caaa8ce1002fa005cabd6c56bbf789acaac3da7bd4

Observation 6a529801-cd13-4405-a04f-50bf5fb6f218 · outbound

This paper cites Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text.

BloombergGPT: A Large Language Model for Finance Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text

Reference 34

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arxiv_id, observed 2026-05-13T23:19:46.648925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:a11eb6bd62bd59fe430e1d26a51eccbaca82bf8cb2fa5e90e056957b34b7ab4b

Observation 4a2aa864-12ed-4e49-954a-c56286e05967 · outbound

This paper cites The third PASCAL recognizing textual entailment challenge.

BloombergGPT: A Large Language Model for Finance The third PASCAL recognizing textual entailment challenge

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.085822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:33d5546e6762f479a4999ac4f1d8e2369229d34f5eefd27ed0782fd0c7d87873

Observation 7e140afe-c497-49a5-b7fa-cf2b63fafc98 · outbound

This paper cites Improving alignment of dialogue agents via targeted human judgements.

BloombergGPT: A Large Language Model for Finance Improving alignment of dialogue agents via targeted human judgements

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:54:02.323766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:c960cd09c5f5d6727a7e049de10d51076b4718d61ec494001b8cc9dc1295c705

Observation af9a72de-8b0a-4313-bef9-4f63b7122f5c · outbound

This paper cites Gordon, Zornitsa Kozareva, and Melissa Roemmele.

BloombergGPT: A Large Language Model for Finance Gordon, Zornitsa Kozareva, and Melissa Roemmele

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.077545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:b44c544a569bd79618a0d535171bed50ed982c5cb148f1c53da280d76ef5493d

Observation ae8178db-7aa2-4d7a-ba69-4311a0de19f3 · outbound

This paper cites News Summarization and Evaluation in the Era of GPT-3.

BloombergGPT: A Large Language Model for Finance News Summarization and Evaluation in the Era of GPT-3

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:46.665438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:0c92ac301fc6dc7bbb456d498e1785b83b9b273b9b90fb27656c0cd9a3026d39

Observation aca441ef-c3f6-4b1f-b875-a9c96b8d1715 · outbound

This paper cites Don ' t Stop Pretraining: Adapt Language Models to Domains and Tasks.

BloombergGPT: A Large Language Model for Finance Don ' t Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 39

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.555893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:944b4e9d9549bf8b803d9eaf550ca6b058e88f34177f8cbba347d3ac3c5134c4

Observation 35aab112-6255-4b98-971f-d1c96aa8ce2f · outbound

This paper cites The second pascal recognising textual entailment challenge.

BloombergGPT: A Large Language Model for Finance The second pascal recognising textual entailment challenge

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.073166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:9c643a2b03a8911bbfc1b6f2d73f846c1e20feebf4173b7fd4b94c03ef8cef8b

Observation 903e1b21-dde7-4ffb-8c14-eb6966b0cb86 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

BloombergGPT: A Large Language Model for Finance Gaussian Error Linear Units (GELUs)

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-13T23:19:46.672339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:e294c16e7c74e5c4ff3e93e8f4e80f0bcc70fc6f4c9721f7028c24645700ce76

Observation 79640ec1-c73e-4b88-b324-87778be43e60 · outbound

This paper cites Measuring massive multitask language understanding.

BloombergGPT: A Large Language Model for Finance Measuring massive multitask language understanding

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.063925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:1ee21bf342c7ee05738e2f1ef9bea229a828814c896d86d74f380bc99bebe565

Observation 84ea5711-b221-493d-b392-b311f63f5ac0 · outbound

This paper cites Query-key normalization for transformers.

BloombergGPT: A Large Language Model for Finance Query-key normalization for transformers

Reference 43

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.581813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:26b0ff8e86c1b63faf42e15cfdc29eda47516ef0047fb13f677a263893226287

Observation d282e3b5-1fa2-49f1-a57e-b9f7606504e7 · outbound

This paper cites Scaling Laws for Transfer.

BloombergGPT: A Large Language Model for Finance Scaling Laws for Transfer

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:58:13.994022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:72fca9781f9a400b9e243b21ef07a07034a127c43144a8a571adc5d2b6d471da

Observation bf8a2405-20fd-41c9-85d6-ef6534961862 · outbound

This paper cites An empirical analysis of compute-optimal large language model training.

BloombergGPT: A Large Language Model for Finance An empirical analysis of compute-optimal large language model training

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.053423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:ee719eab09a3a4995a09cee5d640c25be9c0efe62ce4afbe5a7da03700a892f9

Observation cf81e8c3-1062-4b19-b2d1-3cbc5e617904 · outbound

This paper cites In: Gurevych, I., Miyao, Y.

BloombergGPT: A Large Language Model for Finance In: Gurevych, I., Miyao, Y

Reference 46

Resolution
metadata mismatch
doi, observed 2026-05-13T23:19:46.336964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:f08888b2090dd2635e2b8edad4f93f73c7bb32a3c536964cdc42bd162702cb39

Observation 586bfbf2-90ef-4158-97ed-d0b4b7e74f83 · outbound

This paper cites ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

BloombergGPT: A Large Language Model for Finance ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:2a3258385eb7be644e2a484b97649fb2ed2c29a0a624e185de72e1242394b4a2

Observation 52267bde-34eb-4f42-8b42-bb5589923285 · outbound

This paper cites Continuous speech recognition by statistical methods.

BloombergGPT: A Large Language Model for Finance Continuous speech recognition by statistical methods

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.026949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:ec19c7964d225e0d81277c55527b9864bca4e7ba35bf56f5662843418e7d03a6

Observation cd045a5b-9df1-485f-8027-59fc6a0fca4b · outbound

This paper cites Scott, Sonja Mei Wang, Milagros Miceli, Pieter Delobelle, Karolina Sztandar-Sztanderska, and Bettina Berendt.

BloombergGPT: A Large Language Model for Finance Scott, Sonja Mei Wang, Milagros Miceli, Pieter Delobelle, Karolina Sztandar-Sztanderska, and Bettina Berendt

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:46.356613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:b1c7b58148d867a24d3b1e5494238eca014811afc263b9cceee7d0e81fc650e7

Observation 05ec998e-2aa8-4bc5-bdb7-444e835eb69c · outbound

This paper cites Scaling Laws for Neural Language Models.

BloombergGPT: A Large Language Model for Finance Scaling Laws for Neural Language Models

Reference 50

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T23:19:46.690408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:42139319d601c023ea94cc23e27c840202ce624ea05c29cec55328e4f6ce14e3

Observation 17e714c6-7c11-41d5-a2f1-412ba3b1e12c · outbound

This paper cites Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training.

BloombergGPT: A Large Language Model for Finance Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:46.704885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:3518ff35f3b44372d28fcfd1788fe45158acabc8e196dc4e46a905ee61d81f76

Observation 8ad02359-1416-4ea2-90f8-0c08d29a100d · outbound

This paper cites Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences , url =.

BloombergGPT: A Large Language Model for Finance Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences , url =

Reference 52

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.376695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:b957b58510e2d6f63fb818269bf4f86db8e91ee9fb73c8df11e13d31c072f4b8

Observation 23efadb5-39a3-4564-96fa-05b7a3431662 · outbound

This paper cites Reducing Activation Recomputation in Large Transformer Models.

BloombergGPT: A Large Language Model for Finance Reducing Activation Recomputation in Large Transformer Models

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:46.710952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:2308fb7b1120eed34d9a3763d67130212bf33a393c5bec066bdea6eac9231d2a

Observation 4a32590e-eae8-4d13-92c9-e0562f0fb881 · outbound

This paper cites Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates.

BloombergGPT: A Large Language Model for Finance Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates

Reference 54

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.387196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:a1f8bdc5c908dee614bde742f768ef24c9ac732668d1bf9bf627d232297ea3a0

Observation d1bef25e-dd75-4c3c-aa55-de8a79c30315 · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

BloombergGPT: A Large Language Model for Finance SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 55

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.392362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:f147f8056febbb0498566286f62c9fb84575e6708f3486bbd31c6d2846f43a11

Observation aa2629f9-63b3-4584-9316-5b7d873dad8e · outbound

This paper cites doi: 10.18653/v1/D17-1082.

BloombergGPT: A Large Language Model for Finance doi: 10.18653/v1/D17-1082

Reference 56

Resolution
metadata mismatch
doi, observed 2026-05-13T23:19:46.396954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:e37fd323bebeb5bba45812859ed5980ecf13be71d8c93ff1097eb2d8c06eeed6

Observation 1279b326-d23b-479c-b668-04349a75a2fc · outbound

This paper cites an unresolved cited work.

BloombergGPT: A Large Language Model for Finance Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-05-13T23:19:47.015913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:24c1a2ca1a4a7cac97d075ac5cd7bf7866c67102f2bfb8db785b4aca0c00a20e

Observation ad43c711-6f1d-43d8-b374-42f4f2f3469b · outbound

This paper cites Bioinformatics , volume =.

BloombergGPT: A Large Language Model for Finance Bioinformatics , volume =

Reference 58

Resolution
metadata mismatch
doi, observed 2026-05-13T23:19:46.415732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:ba9588249acaf8cb4c6135e08295e9fb60f3ae1058bfb106ab6d907e40dab9e8

Observation 1f1bdd25-3e70-4600-a0c4-2df811fcd270 · outbound

This paper cites Deduplicating Training Data Makes Language Models Better.

BloombergGPT: A Large Language Model for Finance Deduplicating Training Data Makes Language Models Better

Reference 59

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.421307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:b3991be2fe7e3d493c7c4ea4109e6914964b78a63514e8f0de7adc754cbeda47

Observation 396027a2-6847-4902-ac5a-3284a91cd97e · outbound

This paper cites Evaluating Human-Language Model Interaction.

BloombergGPT: A Large Language Model for Finance Evaluating Human-Language Model Interaction

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:46.429120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:489a97e9cf1c5279d38f55391f56c436e612615d0f72a6eb36b0c9c17a4c85bb

Observation 67ef661a-2710-4aad-939b-2e3e1584ecac · outbound

This paper cites Do We Still Need Clinical Language Models?.

BloombergGPT: A Large Language Model for Finance Do We Still Need Clinical Language Models?

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:46.717536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:833d51d670f0726f7231599cf2cd16c63aecc0d1601020eaa2c10c035837b46f

Observation 7e5915ad-2142-40ec-9ee4-3537597e785c · outbound

This paper cites Levesque, Ernest Davis, and L.

BloombergGPT: A Large Language Model for Finance Levesque, Ernest Davis, and L

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.008405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:89648ec93ec3dd5513638c970f66d13eb376189b07bad2fcb6a7f343105f1abd

Observation f6c3395f-3ac2-4afa-b6a3-21c7ef00c00c · outbound

This paper cites Limits to depth efficiencies of self-attention.

BloombergGPT: A Large Language Model for Finance Limits to depth efficiencies of self-attention

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.004274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:2e241bc0bffefab6846f7dc08dfc5d54ea12c8dd26611931a7e046d7a412b04d

Observation 559f6a7d-6b6a-4271-84f8-e935a0fca5fb · outbound

This paper cites Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art.

BloombergGPT: A Large Language Model for Finance Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art

Reference 64

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.443798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:fb698301357877f87e571f0160da2744eb2c02ee974f4beba6fbf8311a7dcef9

Observation 39cd907c-edf6-495c-beed-0265ba6a244c · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

BloombergGPT: A Large Language Model for Finance Solving Quantitative Reasoning Problems with Language Models

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-05-13T23:19:46.723111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:f3f349de562d4977856078f139f153b578340e0eb7c03993d26bd55912e28013

Observation b857d7ae-e7a1-4bad-b72b-3dc02cf82a60 · outbound

This paper cites Holistic Evaluation of Language Models.

BloombergGPT: A Large Language Model for Finance Holistic Evaluation of Language Models

Reference 66

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T23:19:46.406429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:df12f2f498fbf670f3cb5e1d4a1bcb4f48bf935108e63a9c34f560d5073496a8

Observation 5a46904d-480b-4115-8400-71d8ffd522b2 · outbound

This paper cites Jurassic-1: Technical details and evaluation.

BloombergGPT: A Large Language Model for Finance Jurassic-1: Technical details and evaluation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.021725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:f5a138d8258c592342121ffd14a695de19a2db741e41661bfd2fed281644d619

Observation ee1b9c22-9d41-4cb9-9d70-8308ee52ac5b · outbound

This paper cites Evolutionary-scale prediction of atomic level protein structure with a language model.

BloombergGPT: A Large Language Model for Finance Evolutionary-scale prediction of atomic level protein structure with a language model

Reference 68

Resolution
metadata mismatch
doi, observed 2026-05-13T23:19:46.351593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:280badaa75df07f995ca8850f293916eaba51ed76fbdf7c5fcddca21be45d395

Observation 6d7b2146-5aa0-47c9-b6a3-4e1a294157cd · outbound

This paper cites Autoregressive structured prediction with language models.

BloombergGPT: A Large Language Model for Finance Autoregressive structured prediction with language models

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.031922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:3c5c5a3184499fed518168bef6334aec07676d77085e129f9eb9eb1b775912a7

Observation e44410f2-4df3-4c9f-85a5-439d5ffbb959 · outbound

This paper cites Decoupled weight decay regularization.

BloombergGPT: A Large Language Model for Finance Decoupled weight decay regularization

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.045665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 04a3443e-c5c5-49ca-af32-8c481bd86ca7 · outbound

This paper cites BioGPT: generative pre-trained transformer for biomedical text generation and mining.

BloombergGPT: A Large Language Model for Finance BioGPT: generative pre-trained transformer for biomedical text generation and mining

Reference 71

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7633ad90-a4c1-4d70-9256-f9bf2e535912 · outbound

This paper cites Exploring cross-sentence contexts for named entity recognition with BERT.

BloombergGPT: A Large Language Model for Finance Exploring cross-sentence contexts for named entity recognition with BERT

Reference 72

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 15f8c9c3-f871-487f-aacc-c91701642d9d · outbound

This paper cites WWW'18 Open Challenge: Financial Opinion Mining and Question Answering , year =.

BloombergGPT: A Large Language Model for Finance WWW'18 Open Challenge: Financial Opinion Mining and Question Answering , year =

Reference 73

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation ff355b2c-b851-4f20-b04f-99e8c7e37b89 · outbound

This paper cites Korhonen, Jyrki Wallenius, and Pyry Takala.

BloombergGPT: A Large Language Model for Finance Korhonen, Jyrki Wallenius, and Pyry Takala

Reference 74

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation c204e047-8388-4312-9431-0d41cc1ddd0b · outbound

This paper cites Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP.

BloombergGPT: A Large Language Model for Finance Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP

Reference 75

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 459d6a2c-3471-45a0-b10a-e6dae1cd2c7f · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

BloombergGPT: A Large Language Model for Finance Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 76

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation d0f86be7-a4ac-48f4-97b5-6e08db9f8ef4 · outbound

This paper cites Recurrent neural network based language model.

BloombergGPT: A Large Language Model for Finance Recurrent neural network based language model

Reference 77

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:fc50215e392205a54c7cdc30a9d5e1904eb25a29078dedd21021d07b19a81e09

Observation 1637bdb6-a406-4232-b015-bf81e41a7866 · outbound

This paper cites A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories.

BloombergGPT: A Large Language Model for Finance A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

Reference 78

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6c87ffc8-6cb4-4f85-9977-bd8c1afade54 · outbound

This paper cites BERT weet: A pre-trained language model for E nglish tweets.

BloombergGPT: A Large Language Model for Finance BERT weet: A pre-trained language model for E nglish tweets

Reference 79

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:4f7a4f79e73eb406205b6f2226b059e6147e8af6a0bbb50659956039162aa773

Observation abf59dba-f6cf-4805-8936-6fefe2ec4ace · outbound

This paper cites Adversarial NLI : A New Benchmark for Natural Language Understanding.

BloombergGPT: A Large Language Model for Finance Adversarial NLI : A New Benchmark for Natural Language Understanding

Reference 80

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 72e9730c-7e4b-4a18-8195-ac9d3ed5f31e · outbound

This paper cites ProGen2: Exploring the Boundaries of Protein Language Models.

BloombergGPT: A Large Language Model for Finance ProGen2: Exploring the Boundaries of Protein Language Models

Reference 81

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation f2f62179-16b5-45e3-97e0-1bd9033d100d · outbound

This paper cites Train with mixed precision.

BloombergGPT: A Large Language Model for Finance Train with mixed precision

Reference 82

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:670db9b3c4ba2d16a0c91eccacab83fbf1f2b1586dcd8780645fdaa6291cfdcb

Observation 2179cd89-03df-417a-bef7-e75d317f7edf · outbound

This paper cites Training language models to follow instructions with human feedback.

BloombergGPT: A Large Language Model for Finance Training language models to follow instructions with human feedback

Reference 83

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:472f6c0998330a54bdec27d7b558ff13798e0c7ebf344df8f7da3cfe1c5e712e

Observation 15fb2398-ff53-441b-b666-49b1d8dbe94f · outbound

This paper cites GODEL: Large-Scale Pre-Training for Goal-Directed Dialog.

BloombergGPT: A Large Language Model for Finance GODEL: Large-Scale Pre-Training for Goal-Directed Dialog

Reference 84

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation b42c1864-85f5-4e53-a930-0a65da2ab235 · outbound

This paper cites doi:10.18653/v1/N19-1128 , pages =.

BloombergGPT: A Large Language Model for Finance doi:10.18653/v1/N19-1128 , pages =

Reference 85

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 8409b621-4000-4ae9-8511-e747b89d2375 · outbound

This paper cites Train short, test long: Attention with linear biases enables input length extrapolation.

BloombergGPT: A Large Language Model for Finance Train short, test long: Attention with linear biases enables input length extrapolation

Reference 86

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 3b306192-bbac-4a2d-9dcc-499faf8ee2b2 · outbound

This paper cites Improving language understanding by generative pre-training.

BloombergGPT: A Large Language Model for Finance Improving language understanding by generative pre-training

Reference 87

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation e42b4361-b578-4319-8cdf-c1f429f4f7d2 · outbound

This paper cites Language models are unsupervised multitask learners.

BloombergGPT: A Large Language Model for Finance Language models are unsupervised multitask learners

Reference 88

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:6e7f1d63c33e2df5875d5bd1cf928a6696f01e3196274e89e14a3de1c51a246c

Observation d3aeeffe-3600-4bb9-98c7-76e2a54efb6c · outbound

This paper cites Rae, Anna Potapenko, Siddhant M.

BloombergGPT: A Large Language Model for Finance Rae, Anna Potapenko, Siddhant M

Reference 89

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 663920cf-30b7-4ec1-a48c-df9bc7f1ee92 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

BloombergGPT: A Large Language Model for Finance Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 90

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:ff05c766c1068ec7cdf2d75e2033b8b256e20acd4a03da9cdcf4c23715c762e5

Observation 7515bf83-9ad3-4875-a882-c9e5ad227201 · outbound

This paper cites an unresolved cited work.

BloombergGPT: A Large Language Model for Finance Unresolved cited work

Reference 91

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 4575111d-1d2b-4175-bc7c-dce18b2ad845 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

BloombergGPT: A Large Language Model for Finance Zero: Memory optimizations toward training trillion parameter models

Reference 92

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 1137a165-0c35-4603-b953-30357bb238ab · outbound

This paper cites Recipes for building an open-domain chatbot.

BloombergGPT: A Large Language Model for Finance Recipes for building an open-domain chatbot

Reference 93

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 87eb5203-e53c-4f3f-9886-80db26094feb · outbound

This paper cites WINOGRANDE : An adversarial winograd schema challenge at scale.

BloombergGPT: A Large Language Model for Finance WINOGRANDE : An adversarial winograd schema challenge at scale

Reference 94

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 3b41519c-7e89-4d36-b436-4c15fb77b8b6 · outbound

This paper cites Domain adaption of named entity recognition to support credit risk assessment.

BloombergGPT: A Large Language Model for Finance Domain adaption of named entity recognition to support credit risk assessment

Reference 95

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation bebddd6a-2ed9-4ea8-8619-c95ff093ce13 · outbound

This paper cites Multitask prompted training enables zero-shot task generalization.

BloombergGPT: A Large Language Model for Finance Multitask prompted training enables zero-shot task generalization

Reference 96

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 994c7cb7-29a5-4e23-b2bc-f5833310a213 · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

BloombergGPT: A Large Language Model for Finance BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 97

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation f320f4f8-8d5d-4d20-956c-beb87996d00d · outbound

This paper cites Japanese and korean voice search.

BloombergGPT: A Large Language Model for Finance Japanese and korean voice search

Reference 98

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 2f5e1940-d7db-4da7-bc56-16a3da6a70f9 · outbound

This paper cites Neural machine translation of rare words with subword units.

BloombergGPT: A Large Language Model for Finance Neural machine translation of rare words with subword units

Reference 99

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation c058b2e0-230e-4652-ba4e-5e5cbd48e8fd · outbound

This paper cites When FLUE meets FLANG : Benchmarks and large pretrained language model for financial domain.

BloombergGPT: A Large Language Model for Finance When FLUE meets FLANG : Benchmarks and large pretrained language model for financial domain

Reference 100

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:986bef4faec2a71d6716babdb6651a83993eb773cee9daf45372d8526f6e0c9b

Pith citing papers

Observation 4191cad0-22ca-4e8d-b145-429c81695a1f · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 151

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 0b439e74-f687-4320-bd89-53a7edc538b3 · inbound

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks cites this paper.

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks BloombergGPT: A Large Language Model for Finance

Reference 15

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 931076b6-561b-4923-b667-727b6711a8b0 · inbound

Jailbreaking Black Box Large Language Models in Twenty Queries cites this paper.

Jailbreaking Black Box Large Language Models in Twenty Queries BloombergGPT: A Large Language Model for Finance

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 8403215b-6f57-4e5b-8d2e-00bd97e024b8 · inbound

ConfusionPrompt: Practical Private Inference for Online Large Language Models cites this paper.

ConfusionPrompt: Practical Private Inference for Online Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:58:54.889907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T04:57:55.197897Z digest=sha256:ac5c89f1485d8fca42ac2a2a20b897ef0ae82f633d1366d944b9158e7cf8e9cb

Observation 9182115a-589e-47ae-bf2e-b8b63f0daf99 · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis BloombergGPT: A Large Language Model for Finance

Reference 106

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 0187f15a-cc82-4483-a212-1ffaf1aa36b9 · inbound

MulFSA: Multi-level Financial Sentiment Analysis Framework for Bond Market cites this paper.

MulFSA: Multi-level Financial Sentiment Analysis Framework for Bond Market BloombergGPT: A Large Language Model for Finance

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-22T21:52:10.837940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T21:50:24.666622Z digest=sha256:1ed7ee7c35be8358c98d55c912cc6bf04cc428259918ba5a57892fda9e635929

Observation d26983a0-b370-4609-8c1e-17d261380895 · inbound

Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning cites this paper.

Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning BloombergGPT: A Large Language Model for Finance

Reference 4

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local_arxiv, observed 2026-05-22T21:12:08.750411Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T21:07:40.706681Z digest=sha256:4f61051c437fa350690a8ba7f3ee41d841163e762c05de8a29727fc19dfc9e45

Observation 5b3553ae-e512-4568-99e1-7f48de852341 · inbound

From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.

From Time Series Analysis to Question Answering: A Survey in the LLM Era BloombergGPT: A Large Language Model for Finance

Reference 108

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local_arxiv, observed 2026-05-19T09:32:16.077653Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T09:31:55.829045Z digest=sha256:206c23fe3d5a4c6c2cdb7f220da091632540156c78467b0651e4c9533da28619

Observation 1bb4198f-01d6-4112-a079-b4d2859d512a · inbound

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 167

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:42.274831Z digest=sha256:6075ce8136239bc96f35ba1d77e7bf800aab2fa91cccc0b57c8eb462d1a959a1

Observation 00eff4f7-128e-4133-b819-765a69dcb5f9 · inbound

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model cites this paper.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model BloombergGPT: A Large Language Model for Finance

Reference 45

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:53.157704Z digest=sha256:51bfeb72677ff0b5d2e707e72ee68bde5a0d8b539b325de1489961248143469b

Observation 1e931f0c-4730-4a9a-b1bf-3a2acf6505fd · inbound

FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design cites this paper.

FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design BloombergGPT: A Large Language Model for Finance

Reference 31

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source=pdf_text observed=2026-08-07T00:40:41.094414Z digest=sha256:a2d90f6dfe7b5b0b24f69145bd31f9ceaa25d63527ca051e7bb429c4b6b7d0c2

Observation 6cf0f89a-26bf-49b3-9d6c-1052d49f9c04 · inbound

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers cites this paper.

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers BloombergGPT: A Large Language Model for Finance

Reference 148

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local_arxiv, observed 2026-05-19T09:32:15.521392Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T09:32:08.596259Z digest=sha256:8d8892d300779971cab094a0f7df1e70d8ee76708770f44bd3f65ce2cf59546c

Observation 30dfe0c2-f688-493a-949e-c78a8dc6bebd · inbound

VTS-Guided AI Interaction Workflow for Business Insights cites this paper.

VTS-Guided AI Interaction Workflow for Business Insights BloombergGPT: A Large Language Model for Finance

Reference 2

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source=pdf_text observed=2026-08-06T21:20:47.010676Z digest=sha256:6ebfd1c6f27fe362b5f314a8daa6145f607e08ea5c08bfefa65efd645cbb1abe

Observation c5a5af36-0502-40ee-b9b8-add8c5f28a16 · inbound

AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation cites this paper.

AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation BloombergGPT: A Large Language Model for Finance

Reference 19

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source=pdf_text observed=2026-08-06T21:15:10.113038Z digest=sha256:c4f064d2cd3787d989d27a2e461b23cd5ea7d0fa0f6d66096bef4b614d5c12e2

Observation bd2fa558-17d1-4cef-9907-f074a86bf813 · inbound

OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference cites this paper.

OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference BloombergGPT: A Large Language Model for Finance

Reference 34

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source=arxiv_source observed=2026-08-06T20:08:08.837488Z digest=sha256:854fd9382bc04d5a31f0a1f4f48627dd0188c8d591ad9e93b04f6dd48daf6707

Observation d0538884-6aae-4a0d-b762-14969e6c7eec · inbound

Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity cites this paper.

Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity BloombergGPT: A Large Language Model for Finance

Reference 7

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source=pdf_text observed=2026-08-06T19:21:55.595765Z digest=sha256:5f2ff58b1993d1424c4c96e76f584a113a9283040530df9427b57dc381c3c3b6

Observation bbd187df-f3e1-425b-af9d-3bc30eecba60 · inbound

The Dark Side of LLMs: Agent-based Attack Vectors for System-level Compromise cites this paper.

The Dark Side of LLMs: Agent-based Attack Vectors for System-level Compromise BloombergGPT: A Large Language Model for Finance

Reference 30

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local_arxiv, observed 2026-05-19T06:17:07.703169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T06:14:52.902631Z digest=sha256:bffd4a59a41531a97993fd80efe2e2a6472efe0f447d6aa684bd83e124ce8557

Observation 8f61162b-076b-4944-ba7c-26de8103f0fb · inbound

Agentic Retrieval of Topics and Insights from Earnings Calls cites this paper.

Agentic Retrieval of Topics and Insights from Earnings Calls BloombergGPT: A Large Language Model for Finance

Reference 5

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no resolver link, observed 2026-08-06T18:33:47.397237Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:33:47.397237Z digest=sha256:ecb430db94cdbb968929418c29b21c463aee3f088290651f24dec11b53298e10

Observation aa99ed99-a59a-4217-9a98-9c001505b94e · inbound

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications cites this paper.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications BloombergGPT: A Large Language Model for Finance

Reference 39

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no resolver link, observed 2026-08-06T19:50:40.846779Z

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source=pdf_text observed=2026-08-06T19:50:40.846779Z digest=sha256:9ca616d680568f77437df48cceb2b54480308d282cba53a5a589a4c24a6063dc

Observation 59bb3795-a127-4c43-88b0-1f9f53e7226c · inbound

What Factors Affect LLMs and RLLMs in Financial Question Answering? cites this paper.

What Factors Affect LLMs and RLLMs in Financial Question Answering? BloombergGPT: A Large Language Model for Finance

Reference 16

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verified exact
local_arxiv, observed 2026-05-19T05:07:04.500240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T05:06:43.406540Z digest=sha256:ba16f376bf927ce0d30358ff4c18b8f6d643901604a96e937df59d1050eb64f2

Observation f8f6dc85-ec5c-42d2-8e92-ed43b30c1bb3 · inbound

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models cites this paper.

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models BloombergGPT: A Large Language Model for Finance

Reference 70

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source=pdf_text observed=2026-08-06T17:47:40.172271Z digest=sha256:e73eb288fd2cff1fc4d8942d69d195e963d27b599491bf63135c1eaf1acd764f

Observation d90730ae-a719-42d2-b6d2-118059db6e97 · inbound

FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios cites this paper.

FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios BloombergGPT: A Large Language Model for Finance

Reference 26

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source=pdf_text observed=2026-08-06T20:02:14.229995Z digest=sha256:4aa29518180d094abf9a4bad367af2aba33a73ffca6d93ececbcbf3e35a94188

Observation 315537e2-45d4-4d6b-8b39-5b45057ab3ba · inbound

CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks cites this paper.

CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks BloombergGPT: A Large Language Model for Finance

Reference 47

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no resolver link, observed 2026-08-06T17:32:33.592955Z

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source=pdf_text observed=2026-08-06T17:32:33.592955Z digest=sha256:3d747ea1cd9bab81d528104d16c69431b64aa8fe7e9361c727b2d4a01abf8f28

Observation b3a33212-e8af-4a0f-9e6e-06c3f156b56e · inbound

InTraVisTo: Inside Transformer Visualisation Tool cites this paper.

InTraVisTo: Inside Transformer Visualisation Tool BloombergGPT: A Large Language Model for Finance

Reference 2

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source=pdf_text observed=2026-08-06T16:19:51.112230Z digest=sha256:eb56099fcfe5428841ab03aade8d4cec089ccca16d344fd3cf6f7104d494c13c

Observation 13ed3c7b-1ade-4382-9fe9-6e01d6c27ea1 · inbound

Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models cites this paper.

Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 26

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no resolver link, observed 2026-08-06T15:12:49.971218Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:49.971218Z digest=sha256:a87a7e4b3b4c2d3794cdabb56af1b7bb355226ca7d484a3ad66402a39799b505

Observation 3a843492-04f4-45f1-afb9-3a9eafba0716 · inbound

Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation cites this paper.

Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation BloombergGPT: A Large Language Model for Finance

Reference 31

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no resolver link, observed 2026-08-06T13:54:38.200952Z

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source=pdf_text observed=2026-08-06T13:54:38.200952Z digest=sha256:fa5e3aafc8fca76ed784e543e5894f85949ed582afc8c61a721ca0a8a4329492

Observation c865e660-91f3-44ca-8312-1150c6491cd4 · inbound

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? cites this paper.

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks? BloombergGPT: A Large Language Model for Finance

Reference 25

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source=pdf_text observed=2026-08-06T13:37:54.862401Z digest=sha256:8279cff7651f291ea3a36b275ed2870dc8a1df54c5a33ccac2e2ffab3f8c6f02

Observation 0e89e3c1-1212-4d49-8798-db5b22474737 · inbound

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models cites this paper.

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models BloombergGPT: A Large Language Model for Finance

Reference 24

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no resolver link, observed 2026-08-06T13:10:37.594735Z

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source=arxiv_source observed=2026-08-06T13:10:37.594735Z digest=sha256:63574baff2a236a1a5c087385e6ee67894ecab3b2fac199bf65aa7104f353f50

Observation 8338f70a-785d-4492-bf4a-22d8e7b2c92a · inbound

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law cites this paper.

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law BloombergGPT: A Large Language Model for Finance

Reference 10

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source=pdf_text observed=2026-08-06T15:04:20.873559Z digest=sha256:cf368be9e96312d9f83c796c213401076cedd323f44c1c7e44f2f92f12ec06ac

Observation a0ffa235-16db-44ac-861c-0b0a365fab87 · inbound

StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation cites this paper.

StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation BloombergGPT: A Large Language Model for Finance

Reference 32

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no resolver link, observed 2026-08-06T12:57:06.919369Z

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source=pdf_text observed=2026-08-06T12:57:06.919369Z digest=sha256:034000bdec92bd77c7828b13f7fed14e3483c92f4fec9d3374bfa0f517380548

Observation 21b60211-ce61-4008-8559-3113524bda01 · inbound

ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism cites this paper.

ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism BloombergGPT: A Large Language Model for Finance

Reference 24

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no resolver link, observed 2026-08-06T10:12:19.871559Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:12:19.871559Z digest=sha256:0fc566726556a4f22f5d0fccde4628da35530c8d4963be81db5074b77b7b6087

Observation 6ddd7f7f-db73-4673-a2b8-ae9d5ae54d06 · inbound

Separation Logic of Generic Resources via Sheafeology cites this paper.

Separation Logic of Generic Resources via Sheafeology BloombergGPT: A Large Language Model for Finance

Reference 26

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no resolver link, observed 2026-08-06T05:22:30.772766Z

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source=pdf_text observed=2026-08-06T05:22:30.772766Z digest=sha256:c3e92221909fba52d04a99f7209b958bf524e80ab83d96fef082e34cccb4ba4d

Observation 021f6a30-04f4-4f15-a497-f538c2f0c93b · inbound

Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses cites this paper.

Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses BloombergGPT: A Large Language Model for Finance

Reference 26

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source=pdf_text observed=2026-08-05T23:40:02.923702Z digest=sha256:73cfb95a8ea98f6e80126895baf450c3f12cef17528a76e257b7c8f385e20b9c

Observation f6904334-740d-4f38-b602-8df58ac93bad · inbound

Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News cites this paper.

Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News BloombergGPT: A Large Language Model for Finance

Reference 24

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no resolver link, observed 2026-08-06T14:35:42.108571Z

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source=pdf_text observed=2026-08-06T14:35:42.108571Z digest=sha256:adb910303a21eadd3a768c0dec6ad7044462da7dd2e4fc1c5cda2f7b282a9856

Observation 41ad172a-10c1-430f-9515-1714692d6e40 · inbound

SVGen: Interpretable Vector Graphics Generation with Large Language Models cites this paper.

SVGen: Interpretable Vector Graphics Generation with Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 2023

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source=pdf_text observed=2026-08-05T23:59:28.335971Z digest=sha256:eb1b29126d99067f4098856a693790a560977cb8bbe8247538c84ee99da91ef5

Observation 41e96e69-7bc5-4e35-bc87-250a98bcc15b · inbound

LLMs and Agentic AI in Insurance Decision-Making: Opportunities and Challenges For Africa cites this paper.

LLMs and Agentic AI in Insurance Decision-Making: Opportunities and Challenges For Africa BloombergGPT: A Large Language Model for Finance

Reference 28

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no resolver link, observed 2026-08-05T18:07:23.978080Z

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source=arxiv_source observed=2026-08-05T18:07:23.978080Z digest=sha256:01d1bb1a2089efa12983d628362872209441b24a0f493131c6dfbfe152ebaa4d

Observation 148e8baa-1dc2-483d-b57c-170d11ad9427 · inbound

Survey of Specialized Large Language Model cites this paper.

Survey of Specialized Large Language Model BloombergGPT: A Large Language Model for Finance

Reference 37

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no resolver link, observed 2026-08-05T15:37:49.326201Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:37:49.326201Z digest=sha256:31727197de9a1b4d36d3aee273bf403ab4abb8f06b530b3356fee852e84600da

Observation c4455567-e132-4b2e-9138-ea2ff0096265 · inbound

An Empirical Study of Vulnerable Package Dependencies in LLM Repositories cites this paper.

An Empirical Study of Vulnerable Package Dependencies in LLM Repositories BloombergGPT: A Large Language Model for Finance

Reference 2023

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no resolver link, observed 2026-08-05T14:22:35.249302Z

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source=pdf_text observed=2026-08-05T14:22:35.249302Z digest=sha256:4e811b1b85862d0e5e76d44f79a47a7ebf2d79b305bdd0d76661410fb3d025eb

Observation 9e25c5e2-6ba8-45cf-9f80-fe491413890a · inbound

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents cites this paper.

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents BloombergGPT: A Large Language Model for Finance

Reference 71

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no resolver link, observed 2026-08-05T11:48:51.259128Z

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source=pdf_text observed=2026-08-05T11:48:51.259128Z digest=sha256:c88ec0dce1a2b73913b7a6e4afd077ad7a349eccd3dce899d1a4e415f714fa63

Observation 113deaa2-11db-4436-91ca-319811acd3b7 · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment BloombergGPT: A Large Language Model for Finance

Reference 82

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no resolver link, observed 2026-08-05T10:34:46.791454Z

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source=arxiv_source observed=2026-08-05T10:34:46.791454Z digest=sha256:4231de50b9cad65d9042807b0ff45168aa8e6646b313a863186b81219e8a96cf

Observation 73c614c3-5eff-4867-b634-d663dafbcb90 · inbound

MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading cites this paper.

MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading BloombergGPT: A Large Language Model for Finance

Reference 2023

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no resolver link, observed 2026-08-05T05:41:41.386887Z

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source=pdf_text observed=2026-08-05T05:41:41.386887Z digest=sha256:93c8c9416eb09267c5d5deb9a11558517952d1fbc45c0bffcd5ce6e046c2e599

Observation 32944e2b-a7db-4160-83b6-21517062ae30 · inbound

From Digital Distrust to Codified Honesty: Experimental Evidence on Generative AI in Credence Goods Markets cites this paper.

From Digital Distrust to Codified Honesty: Experimental Evidence on Generative AI in Credence Goods Markets BloombergGPT: A Large Language Model for Finance

Reference 21

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no resolver link, observed 2026-08-05T04:34:30.841739Z

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source=pdf_text observed=2026-08-05T04:34:30.841739Z digest=sha256:6a1cde0e7f824e8221ae94e994661e42377c4eaded55e8a33fdf7982c6c4dc66

Observation a82db7ec-a2de-4329-9c3c-69fd5a288287 · inbound

Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector cites this paper.

Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector BloombergGPT: A Large Language Model for Finance

Reference 4

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verified exact
local_arxiv, observed 2026-05-18T17:42:47.427877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T17:39:17.456350Z digest=sha256:c193b1398b2c290978177950b91eb28333cb69c6affb0a46a4533a41f6642f8d

Observation 15e8957c-2573-46d5-84d2-2be8efd45f9f · inbound

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving BloombergGPT: A Large Language Model for Finance

Reference 26

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unresolved
no resolver link, observed 2026-08-04T20:55:41.221204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:55:41.221204Z digest=sha256:16c24042cbff968c215db139b68b657720e4aaa504c639296e5e8915f7933d42

Observation 290575ec-5b7f-4cbd-b8ff-d46aaf000e38 · 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) BloombergGPT: A Large Language Model for Finance

Reference 49

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verified exact
local_arxiv, observed 2026-05-18T17:42:46.459757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-18T17:42:34.395450Z digest=sha256:69b7b53868a96b6a58e32eb4c3c3497e974a7d131a22b318a4ce5348c8dc7474

Observation 8c283144-1fdc-4302-8c15-91a98521f8e9 · 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) BloombergGPT: A Large Language Model for Finance

Reference 49

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unresolved
no resolver link, observed 2026-08-04T18:57:21.772264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:57:21.772264Z digest=sha256:35e3f6caff14765fdfe6a60b4facd1b70b0d1f20e0baf8375d75ac11fe247a7d

Observation d86c8f8a-1419-4d7c-892b-f899131710c4 · inbound

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain cites this paper.

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain BloombergGPT: A Large Language Model for Finance

Reference 36

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verified exact
local_arxiv, observed 2026-05-18T17:51:41.875388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-18T17:49:42.112564Z digest=sha256:34328b79d6343d2870262245788361dfef23314aaf0d755af59974cec26dfaf4

Observation 2ee9807a-7ed4-44f2-874d-8ac26361a264 · inbound

Multi-Model Synthetic Training for Mission-Critical Small Language Models cites this paper.

Multi-Model Synthetic Training for Mission-Critical Small Language Models BloombergGPT: A Large Language Model for Finance

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-18T15:51:34.982476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T15:47:00.455107Z digest=sha256:2d9f37e6945dfdff421889f799bc621343614ccf08ede86c707de17cdf85ef16

Observation 1f4df676-eb90-4175-9846-b142cdc844c2 · inbound

SynBench: A Benchmark for Differentially Private Text Generation cites this paper.

SynBench: A Benchmark for Differentially Private Text Generation BloombergGPT: A Large Language Model for Finance

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-18T16:46:37.495865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T16:46:22.479895Z digest=sha256:edee09ee7647ab560d5ac08aa0677e151e00daee654d18a40a63d521d9fd9141

Observation 85c8e2b0-963f-4e6b-9a7c-45f3edb98beb · inbound

BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning cites this paper.

BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning BloombergGPT: A Large Language Model for Finance

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-18T13:51:26.090355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T13:47:15.959308Z digest=sha256:2881592cded42bf454b147df61ca19f143f6e90acc1f4fb1e9451ea1e56c5c5c

Observation fa1b9614-df6d-42fb-a2b3-d94f7d0fad23 · inbound

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning cites this paper.

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning BloombergGPT: A Large Language Model for Finance

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-04T14:43:28.534733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:43:28.534733Z digest=sha256:cfd4a929fdb7168d71d5b3f0b3ca9c2ab64af2ba72bbad4aa1d5fecf64cb8071

Observation a1a3958a-21e1-448a-8b5d-ca785ce44652 · inbound

MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications cites this paper.

MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications BloombergGPT: A Large Language Model for Finance

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-17T22:10:22.969281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T22:06:30.391838Z digest=sha256:c61a524d27f3e098786ae4c2442af5b1ab5f6f12c2877cce81b5532643bf2e4b

Observation 058799e7-a1bd-4c21-be9b-88ba0f43d700 · inbound

MobileFineTuner: A Mobile-Native Framework for On-Device LLM Fine-Tuning in Real-World Embedded AI Applications cites this paper.

MobileFineTuner: A Mobile-Native Framework for On-Device LLM Fine-Tuning in Real-World Embedded AI Applications BloombergGPT: A Large Language Model for Finance

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-03T17:47:51.423704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:47:51.423704Z digest=sha256:9da4fbbd68d96e8b36c6f03aec8038d3870133faa83faf7a684be7471e579e60

Observation 7f901418-3cbb-4182-86b6-7f09fe6cedcd · inbound

Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection cites this paper.

Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection BloombergGPT: A Large Language Model for Finance

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-16T22:01:17.931840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-16T21:59:13.588901Z digest=sha256:79c1be7652ddc3a05b80967c7ae528879c042010eb65a4921da907728d2c6ae3

Observation 860cf0a1-e999-4bb5-b268-59b92150aa1d · inbound

Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation cites this paper.

Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation BloombergGPT: A Large Language Model for Finance

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T03:59:46.190655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:59:46.190655Z digest=sha256:c552b79e560ec1b576401c9d85b67e877db921399853aa0e753908efc2acba62

Observation 7a3a5e78-e2db-43af-85dd-852ab9d0249c · inbound

All Leaks Count, Some Count More: Interpretable Temporal Contamination Detection and Mitigation in LLM Backtesting cites this paper.

All Leaks Count, Some Count More: Interpretable Temporal Contamination Detection and Mitigation in LLM Backtesting BloombergGPT: A Large Language Model for Finance

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T22:21:37.006765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:21:37.006765Z digest=sha256:2dd11da9676c4e6fc17d8568f512c1125db8bdf2e5add6d72153382d0eb4deed

Observation 4e44bb75-736b-4eb0-8432-266681f8b2ca · inbound

AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models cites this paper.

AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T02:44:05.991095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:44:05.991095Z digest=sha256:8709d84a5a685b21a8357b02948d3cc8c4a0d97452b84594fd610c67fc9099bc

Observation e431ab9f-3a51-4e3a-affa-11fd2fec7ae6 · inbound

CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching cites this paper.

CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching BloombergGPT: A Large Language Model for Finance

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T21:28:32.239379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:28:32.239379Z digest=sha256:5fba3eb2b99f8a1bd2e909ece49940fb6ce701635bfea0ff52aff1e8786d7551

Observation 266313c9-67f7-4241-b338-ff6ef2c558e1 · inbound

Sell Me This Stock: Unsafe Recommendation Drift in LLM Agents cites this paper.

Sell Me This Stock: Unsafe Recommendation Drift in LLM Agents BloombergGPT: A Large Language Model for Finance

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T12:35:35.342492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T12:33:58.718677Z digest=sha256:8cb226473cbbbc8b3b8b058d30a341242c572a2c3e071edcf929d72a7f0f72b4

Observation 30231172-8b10-4fce-9bb3-b637eb8af314 · inbound

AI Agents in Financial Markets: Architecture, Applications, and Systemic Implications cites this paper.

AI Agents in Financial Markets: Architecture, Applications, and Systemic Implications BloombergGPT: A Large Language Model for Finance

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T12:25:35.616728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T12:23:09.343910Z digest=sha256:9c7d7ec86b39a0a5799025aa404f67065776afc3a16ff58dd32c12f54284c52f

Observation 7a422632-fc71-4526-aa95-0a2c40f1dcd1 · inbound

Developing an ESG-Oriented Large Language Model through ESG Practices cites this paper.

Developing an ESG-Oriented Large Language Model through ESG Practices BloombergGPT: A Large Language Model for Finance

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T06:55:10.761478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T06:51:46.136032Z digest=sha256:13f19b41545bfbfc1857343c66448d22c39139c94ca79290b4ea52fc9df7ae38

Observation a85be0d2-0bcc-45e0-b158-2eb7f4510e59 · inbound

PolySwarm: A Multi-Agent Large Language Model Framework for Prediction Market Trading and Latency Arbitrage cites this paper.

PolySwarm: A Multi-Agent Large Language Model Framework for Prediction Market Trading and Latency Arbitrage BloombergGPT: A Large Language Model for Finance

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:55:30.415552Z digest=sha256:932e5272b5dea005943ef8bea84caa4f0bd4959ab3905571574f287265975aff

Observation 6b043897-db69-41d0-a0e4-7546a6d33990 · inbound

High-Stakes Personalization: Rethinking LLM Customization for Individual Investor Decision-Making cites this paper.

High-Stakes Personalization: Rethinking LLM Customization for Individual Investor Decision-Making BloombergGPT: A Large Language Model for Finance

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-13T10:02:23.326692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:02:23.326692Z digest=sha256:a785b7bdabaab09cb249c276c65301656349c7db59a7c7d341cc9111e8f4cc23

Observation a9edf46e-38b1-42b1-95a1-5aa5e0bb6ebe · inbound

SysTradeBench: An Iterative Build-Test-Patch Benchmark for Strategy-to-Code Trading Systems with Drift-Aware Diagnostics cites this paper.

SysTradeBench: An Iterative Build-Test-Patch Benchmark for Strategy-to-Code Trading Systems with Drift-Aware Diagnostics BloombergGPT: A Large Language Model for Finance

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T19:32:25.959711Z digest=sha256:58b7f3cc88e09fd4c1228da394c02a4ddaf502826b6ade7c6183c21acb34ec6f

Observation af55d4a8-2450-478b-a21d-4b72b9fac1c1 · inbound

SenseAI: A Human-in-the-Loop Dataset for RLHF-Aligned Financial Sentiment Reasoning cites this paper.

SenseAI: A Human-in-the-Loop Dataset for RLHF-Aligned Financial Sentiment Reasoning BloombergGPT: A Large Language Model for Finance

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:42:18.737105Z digest=sha256:5413e0683ea47d73517ebf049bbdb42074a56fb4a587a61bde91ee2523f02225

Observation 533aeebe-529d-4744-b02b-f0ed748a2c6d · inbound

FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosures cites this paper.

FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosures BloombergGPT: A Large Language Model for Finance

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T19:31:28.942597Z digest=sha256:220f2a7532f828b37438df2888da1d1dd416aec21c8d73aecce14de5f9e697f5

Observation cfed80fc-d167-4514-8bf3-c893b2ddd9c1 · inbound

FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosures cites this paper.

FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosures BloombergGPT: A Large Language Model for Finance

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-19T16:52:39.724488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T16:52:20.720471Z digest=sha256:a7e3960c8c8e5850131e84aa6dc863ff5ac595f2510c00e050b713225fff4b3e

Observation e29cb1ef-932f-4fe1-b6fd-5e02c1335577 · inbound

PRAGMA: Revolut Foundation Model cites this paper.

PRAGMA: Revolut Foundation Model BloombergGPT: A Large Language Model for Finance

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:37:04.381074Z digest=sha256:e9895f7a7b151343d44694b1f30ea4f48d056d94e8968ab7d71cb8c06e328ffc

Observation 7c059ee0-1305-4051-a07c-357cb856cca2 · inbound

Detecting Corporate AI-Washing via Cross-Modal Semantic Inconsistency Learning cites this paper.

Detecting Corporate AI-Washing via Cross-Modal Semantic Inconsistency Learning BloombergGPT: A Large Language Model for Finance

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:28:26.843208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:2d58ed2c224102357c94950451fcbf45fe25a064898b62eb933e6efc6932642b

Observation 82714f9d-3a86-4660-ac99-8376a98b3c70 · inbound

When Valid Signals Fail: Regime Boundaries Between LLM Features and RL Trading Policies cites this paper.

When Valid Signals Fail: Regime Boundaries Between LLM Features and RL Trading Policies BloombergGPT: A Large Language Model for Finance

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:29:54.155931Z digest=sha256:3efd42cc3e464c57d631010a5a974486c3839880a7f7abd52b4f95f4bba0f52e

Observation cb49ee59-4721-4b23-9855-672e6647a9fe · inbound

PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data cites this paper.

PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data BloombergGPT: A Large Language Model for Finance

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:17:22.608745Z digest=sha256:3c9a7f8d387a51d17c158fea4f3afe78280bafea40e03bb39cf7f4fc8242f555

Observation de324d88-3816-48e6-bbda-77b44b4bd691 · inbound

CROP: Token-Efficient Reasoning in Large Language Models via Regularized Prompt Optimization cites this paper.

CROP: Token-Efficient Reasoning in Large Language Models via Regularized Prompt Optimization BloombergGPT: A Large Language Model for Finance

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:56:21.647213Z digest=sha256:01f3a446cb72220965fd2d0a8e4ea938c84fabf94a92f96c003f234e9b8dcc86

Observation 06e2be22-e555-45de-bbdc-909ee4de617c · inbound

CGCMA: Conditionally-Gated Cross-Modal Attention for Event-Conditioned Asynchronous Fusion cites this paper.

CGCMA: Conditionally-Gated Cross-Modal Attention for Event-Conditioned Asynchronous Fusion BloombergGPT: A Large Language Model for Finance

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T22:36:26.629041Z digest=sha256:6b319072c22f456c51d2a2a53dcaf21250a22cb73164c5dd312cfd066103b43a

Observation 9bff3f5c-445b-476d-90bf-15548346ec32 · inbound

MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language Model cites this paper.

MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language Model BloombergGPT: A Large Language Model for Finance

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:21:32.522414Z digest=sha256:911775372b6ea331944f3fc27b1628eb4704e93a038e53db96dc37e977698b6f

Observation e8348cca-b9bd-4828-906e-53369d4f7762 · inbound

QRAFTI: An Agentic Framework for Empirical Research in Quantitative Finance cites this paper.

QRAFTI: An Agentic Framework for Empirical Research in Quantitative Finance BloombergGPT: A Large Language Model for Finance

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:06:14.794251Z digest=sha256:bcc68bd23b55f9e16eee57d9af5fca84273126e5a503f1548c7e8a680e5cb215

Observation d322c556-e68a-4355-85f8-826fc1ff67a6 · inbound

Cross-Stock Predictability via LLM-Augmented Semantic Networks cites this paper.

Cross-Stock Predictability via LLM-Augmented Semantic Networks BloombergGPT: A Large Language Model for Finance

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T01:18:08.946013Z digest=sha256:7a6063302f6f58d54d684adfb2761b729d8f6e87bd0dadf3b8d5aa86ef5bcc54

Observation fea1a5db-40c9-4767-ae42-a9dec8fa1dbc · inbound

RouteNLP: Closed-Loop LLM Routing with Conformal Cascading and Distillation Co-Optimization cites this paper.

RouteNLP: Closed-Loop LLM Routing with Conformal Cascading and Distillation Co-Optimization BloombergGPT: A Large Language Model for Finance

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T06:24:14.635561Z digest=sha256:572193d35b3705d24a16ba537832baff40c15150a0778bf5bbfb8314c308b0eb

Observation bbc56696-e3b9-4817-8009-44704159bae9 · inbound

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection cites this paper.

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection BloombergGPT: A Large Language Model for Finance

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T06:17:03.951243Z digest=sha256:7196c06b63fd71d73251afc4b3200cf3e6db0b60bc7da3859122b6ee38302849

Observation 55381110-60ca-48e3-8b7a-6f47225910cd · inbound

FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification cites this paper.

FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification BloombergGPT: A Large Language Model for Finance

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T06:24:43.021602Z digest=sha256:ba03771de64e470400ee31cac8234c6ebab97170ecd1406e73ad5476efc521dc

Observation 57999c14-daad-4065-94e5-f332d708af58 · inbound

From Hypotheses to Factors: Constrained LLM Agents in Cryptocurrency Markets cites this paper.

From Hypotheses to Factors: Constrained LLM Agents in Cryptocurrency Markets BloombergGPT: A Large Language Model for Finance

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T12:34:07.673361Z digest=sha256:438ca9ce0d2a16566503dd06e683bd76d04770e36b09297800e61be6a5116c8e

Observation 768268c8-f7d6-464e-b845-73e3f5e9afac · inbound

Effective Performance Measurement: Challenges and Opportunities in KPI Extraction from Earnings Calls cites this paper.

Effective Performance Measurement: Challenges and Opportunities in KPI Extraction from Earnings Calls BloombergGPT: A Large Language Model for Finance

Reference 90

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-08T18:04:50.972507Z digest=sha256:d74ba8d03cef1167cc33fddc5e36e7ba26aaebd07f73c7feb221f62b61564eef

Observation 6a52c056-608e-4a92-bcfa-7af08a8e3f12 · inbound

Agentic Retrieval-Augmented Generation for Financial Document Question Answering cites this paper.

Agentic Retrieval-Augmented Generation for Financial Document Question Answering BloombergGPT: A Large Language Model for Finance

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-08T17:03:09.496490Z digest=sha256:110e0afad327386e37ed9da4f48e87cd1d9a7b6db8bc25199c8ef77dd173828e

Observation 664ce752-baac-4f0d-84e1-8142e7b9e9d5 · inbound

Semantic State Abstraction Interfaces for LLM-Augmented Portfolio Decisions: Multi-Axis News Decomposition and RL Diagnostics cites this paper.

Semantic State Abstraction Interfaces for LLM-Augmented Portfolio Decisions: Multi-Axis News Decomposition and RL Diagnostics BloombergGPT: A Large Language Model for Finance

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:58:24.066300Z digest=sha256:dd10319c59afadb987d0761553f9a877c3f7f4b864f3e85e641e132b7978b1af

Observation 02d6fcb9-8388-4717-9689-8049efb31369 · inbound

AutoRedTrader: Autonomous Red Teaming of Trading Agents through Synthetic Misinformation Injection cites this paper.

AutoRedTrader: Autonomous Red Teaming of Trading Agents through Synthetic Misinformation Injection BloombergGPT: A Large Language Model for Finance

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:22:13.974371Z digest=sha256:fa1b43d0dbb84581188bd1a08772137966ee4a018addb131fdca8e64047cabd6

Observation 8ffd3d30-4dbd-4729-ae44-8d7edcfb504d · inbound

AgenticAITA: A Proof-Of-Concept About Deliberative Multi-Agent Reasoning for Autonomous Trading Systems cites this paper.

AgenticAITA: A Proof-Of-Concept About Deliberative Multi-Agent Reasoning for Autonomous Trading Systems BloombergGPT: A Large Language Model for Finance

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-14T21:53:02.301368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-14T21:51:48.686900Z digest=sha256:c3b7a5bab9a2fa806fba6cd8dba87de778f72043dd787b48689e20df41b3fc12

Observation a7a7f65f-7a19-494d-99fd-f6c18be59f31 · inbound

A Multi-Agent Orchestration Framework for Venture Capital Due Diligence cites this paper.

A Multi-Agent Orchestration Framework for Venture Capital Due Diligence BloombergGPT: A Large Language Model for Finance

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T02:03:37.552137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T02:03:07.093779Z digest=sha256:09871f0361896098052590569a4cb838dabca02c8eb2951bf3942856f387599b

Observation 6b30c09a-eaa6-42b3-a375-958fe45942c5 · inbound

Attention Once Is All You Need: Efficient Streaming Inference with Stateful Transformers cites this paper.

Attention Once Is All You Need: Efficient Streaming Inference with Stateful Transformers BloombergGPT: A Large Language Model for Finance

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-14T19:22:51.282990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T19:19:43.718149Z digest=sha256:872e89fb1ed834da8761321c231a0913654be1c335213c9b486a5184fd293cff

Observation e7fae059-8c90-4593-8baa-4daa4b04621b · inbound

From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents cites this paper.

From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents BloombergGPT: A Large Language Model for Finance

Reference 40

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T08:49:53.656821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-21T08:45:56.550821Z digest=sha256:e46812ee6097d31e8696771d694c52b538fd130e043b19021dfb27bfc18457fa

Observation 48d46e5a-d125-4f3a-8ed6-0b5c73c6fcc9 · inbound

MeMo: Memory as a Model cites this paper.

MeMo: Memory as a Model BloombergGPT: A Large Language Model for Finance

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-15T03:19:43.578420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T03:17:23.202604Z digest=sha256:552ff63f9e4495512316ca746003fce210b6f409196dc903209700f34e20ad17

Observation 57a25e15-4a69-40b9-ab90-18c4ade94879 · inbound

MeMo: Memory as a Model cites this paper.

MeMo: Memory as a Model BloombergGPT: A Large Language Model for Finance

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-21T08:39:53.577898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T08:36:31.022046Z digest=sha256:7f53f86999e040cbe600c242171f37f77fa6c45231997c8c8c7bf51c6204e256

Observation 8d15e896-acde-4ef3-8f90-aea13c4d4da7 · inbound

From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery cites this paper.

From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery BloombergGPT: A Large Language Model for Finance

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-19T14:47:36.260094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T14:45:07.168330Z digest=sha256:84c437182b8f01a2c6f2b047117262d0433744b2c62564255ae992c5a117e974

Observation d6a64e35-e0b2-453a-aaad-96d3bea38eee · inbound

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning cites this paper.

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning BloombergGPT: A Large Language Model for Finance

Reference 59

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T21:52:48.274109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-19T21:49:07.440832Z digest=sha256:2c53d5ba10bf220e5d01262ce5e52f7eb6402f076b5814d7c0134bf4c9d314eb

Observation 2876f9ac-9431-4d07-b3fc-10e9ea3a5730 · inbound

Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs cites this paper.

Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs BloombergGPT: A Large Language Model for Finance

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-22T07:16:12.872185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T07:15:45.332957Z digest=sha256:db8507cfe9d7ad178cfab728674166074d11a7420c278529c652ad769c1ebab5

Observation 0f2edcb6-403a-4a8f-816b-70f245479cd1 · inbound

Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks cites this paper.

Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks BloombergGPT: A Large Language Model for Finance

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:30:20.195344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:27:57.881555Z digest=sha256:ed0bfa6da5c60dd39a76888726f7ba146b7c35b9b62a851dcb0f4802d8781c91

Observation 2c7e73a2-e33c-4532-adaf-703822a7ea41 · inbound

Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks cites this paper.

Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks BloombergGPT: A Large Language Model for Finance

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-06-30T16:35:12.917303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:25:47.480189Z digest=sha256:34fa3fdb8acec373bba9778b15191165b41ccc8366b68916a96347452dc888a4

Observation 6a21f9ed-250c-4651-b80a-d5499ace080a · inbound

Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems cites this paper.

Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems BloombergGPT: A Large Language Model for Finance

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-06-30T13:24:40.018791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T13:22:50.943766Z digest=sha256:61707f4cc48f2ff7c3b8b1fae4adb268756366cb555037ef6c5055f6c5e7d90f

Observation 7d052851-db5b-464c-9ab1-9536aedf8454 · 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 BloombergGPT: A Large Language Model for Finance

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:34:38.870573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:27:46.629948Z digest=sha256:0e44afea9a6d3526fb1a5048426c32670c3c8789f2b6969433f9e210a47a8cc3

Observation fbe65e8d-2495-4fb1-804d-3cc24d0f8e09 · inbound

LLM Agent Based Renewable Energy Forecasting Using Edge and IoT Data A Review of Solar Wind Weather and Grid Aware Decision Support cites this paper.

LLM Agent Based Renewable Energy Forecasting Using Edge and IoT Data A Review of Solar Wind Weather and Grid Aware Decision Support BloombergGPT: A Large Language Model for Finance

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-06-30T11:54:38.265737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T11:51:12.039968Z digest=sha256:f26f18b6f283617c1076f5974d65146481a5ff40a3fd8709012682e753087846

Observation 8e030d80-caa3-4e2e-bbe6-d2bc36819b5f · inbound

Recursive Multi-Agent Trading System: Iterative Optimized Portfolio Strategy Under Geopolitical Uncertainty cites this paper.

Recursive Multi-Agent Trading System: Iterative Optimized Portfolio Strategy Under Geopolitical Uncertainty BloombergGPT: A Large Language Model for Finance

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-01T16:55:50.863828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T20:04:15.688161Z digest=sha256:f687b340c870ba874c3cd193430a797ef236857028df91f807e07c2cdd192ce1

Observation 38595cd2-fba4-42f6-9d1c-d2030a62de73 · inbound

Recursive Multi-Agent Trading System: Iterative Optimized Portfolio Strategy Under Geopolitical Uncertainty cites this paper.

Recursive Multi-Agent Trading System: Iterative Optimized Portfolio Strategy Under Geopolitical Uncertainty BloombergGPT: A Large Language Model for Finance

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-14T18:44:41.955079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T18:44:41.955079Z digest=sha256:a7cccad4b2b43a9199d5a370ab228c619adc80d4fb96a4bd7823c964d0716ff1