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Paper Citation Record · LEDGER

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools

As of 13 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 3 inbound Pith citation observations for arXiv:2501.12399.

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

pith.paper-citation-record.v1
2501.12399 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:41:21.672980Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:49.856183Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:05:41.292936Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d4b061a-fef0-45dc-a223-ccea94ebd37b · outbound

This paper cites Large language model agent in financial trading: A survey.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools Large language model agent in financial trading: A survey

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.603288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.603288Z digest=sha256:e9f5be8c6070adcab3c233b7d80db94ab38e47c7137c3f6650ef033fad7ff08c

Observation 4efab572-d874-4b9d-a567-bd24ea0014e6 · outbound

This paper cites GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.607827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.607827Z digest=sha256:f730ac05e213f2f71a02ed1aa5b48058e10a8acf12f255428570ced10fae5768

Observation 51f2c88f-a457-4ad9-b37a-fc2efbf6421f · outbound

This paper cites Financial Statement Analysis with Large Language Models.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools Financial Statement Analysis with Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.616195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.616195Z digest=sha256:4e18396f3a293cc31d6151768f5de769001a11b2d9677687665e40bc50583f42

Observation 042c1ca1-6ed0-4e57-b669-cd1f90532dad · outbound

This paper cites Large language models and generative ai in finance: an analysis of chatgpt, bard, and bing ai.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools Large language models and generative ai in finance: an analysis of chatgpt, bard, and bing ai

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:41:22.091163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:41:21.620129Z digest=sha256:1e88b0d74713203238eec15b89c11fa189a577cd3b2a6b145a7599cc812b3fac

Observation 93e1bf8f-b345-49bf-bb8d-76af8fdc2cef · outbound

This paper cites CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.623563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.623563Z digest=sha256:8ab49729413507fb4bbacc700dcfff9bb9f0f80645fa2122294ca1edb6cc8278

Observation 1785ca9c-edd4-4a25-bce3-0c0611fc0ff1 · outbound

This paper cites On quantum Poisson-Lie T-duality of WZNW models.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools On quantum Poisson-Lie T-duality of WZNW models

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T21:41:21.938142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:41:21.627484Z digest=sha256:9439d549a96e17ffe5d8fa97f43c5eb0719760562163a0ed2c949f35e2ec7b68

Observation 65300832-b983-49f9-902b-c3d9cfb7fc64 · outbound

This paper cites DeepSeek-V3 Technical Report.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools DeepSeek-V3 Technical Report

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.630869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.630869Z digest=sha256:3338696c2f08460f18f36a4cb1b3c226cdd07a92fac8cead7e91dbd6b4de312b

Observation 6340984b-fd83-4235-8440-f89f472a542f · outbound

This paper cites Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.634320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.634320Z digest=sha256:4f13c2c41fbc876f5ad1f39baf1e97ca59fd93c5a6b21ee64c5daf7826a55ee8

Observation a7477fcb-6778-4ffb-951f-d28e900e533c · outbound

This paper cites A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.638444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.638444Z digest=sha256:279f1466509607b94a371070cf11faad2dfbd206206ff60ae77ac969ad8981f4

Observation 54f990c5-54a5-49b0-b319-9ef071f1f0c5 · outbound

This paper cites FinBERT: A Pretrained Language Model for Financial Communications.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools FinBERT: A Pretrained Language Model for Financial Communications

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.650250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.650250Z digest=sha256:279b3aa3bd7dc5e0a7b19c16c3b70cce57a693f757f39264af3b093e263f1997

Observation 2eeea113-c253-4ffd-9114-6e6aff4532a4 · outbound

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

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.654340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.654340Z digest=sha256:709986fa669ceef5e70e4d882a97299de6f49f8fa2a7714447ef929b937c9930

Observation 602005ee-b9e8-462c-bfcd-eb3a87dde901 · outbound

This paper cites FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.658205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.658205Z digest=sha256:9276057c9f7d66f9c1a60733ae880c72185e7f35a8eaa439a98b14e87285f857

Observation b959c344-e589-44fd-855b-4b2cd3b76050 · outbound

This paper cites Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.661747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.661747Z digest=sha256:30f47f10cfd2bcd89dfd8c0b21201bc82e3d4763add6bf5ace59dd034d6d342b

Observation 9c51c633-9c58-460a-93b8-4249ec1d849d · outbound

This paper cites FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.665538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.665538Z digest=sha256:b4c6a0ec427c96e322f683ad64c2cbf77949927b20398c9383ce31096477080b

Observation e1679d18-61d9-4d39-a0f0-b4901d7549ec · outbound

This paper cites Revolutionizing finance with llms: An overview of applications and insights.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools Revolutionizing finance with llms: An overview of applications and insights

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.669486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.669486Z digest=sha256:feebcf185660a75d1023a6815a3e6ebb1b9b5bc64982a90c0f364d40a8eea154

Observation fdc810ce-0d5e-44e6-a2fe-15d622b8f9da · outbound

This paper cites Tat-qa: A question answering benchmark on a hybrid of tabular and textual content in finance.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools Tat-qa: A question answering benchmark on a hybrid of tabular and textual content in finance

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:41:22.078138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:41:21.672980Z digest=sha256:67e3a3ed3f901742dcf6e5b7e48c176f8c488b480cd0beda16c27ff4e2696b67

Observation a8d0b708-f7fa-4a37-b2c4-86fc674ace58 · outbound

This paper cites Enhancing Anomaly Detection in Financial Markets with an LLM-based Multi-Agent Framework.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools Enhancing Anomaly Detection in Financial Markets with an LLM-based Multi-Agent Framework

Reference 2002

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.642317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.642317Z digest=sha256:29e8a2c74f073aace962dbe7e83a11059f0eff4db7a743845f27f4f054c850c3

Observation 007fc4b6-1098-468e-804f-e08b849c458c · outbound

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

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools BloombergGPT: A Large Language Model for Finance

Reference 2004

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.646291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.646291Z digest=sha256:654b75e99f87e2c562c01d9ac24234c9d49a8bd085eceeb241ef8b58f08b5aea

Observation 00971da1-fc0e-462f-a9e0-3aca839a61ba · outbound

This paper cites FinTextQA: A Dataset for Long-form Financial Question Answering.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools FinTextQA: A Dataset for Long-form Financial Question Answering

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.598410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.598410Z digest=sha256:8f5b8d97b3143d419cba6eb69f03d48dd9f383d4c1e87d75cd99c980d10a9cc0

Observation 3d54e782-e868-4d7b-b820-343b0ed701a2 · outbound

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

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools FinanceBench: A New Benchmark for Financial Question Answering

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.612306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.612306Z digest=sha256:d9be0e6b0d22594ee10e49525d0751ad06f42bfc9d672e764d0555c36ae8683b

Observation 307db4e7-4891-4225-8499-fe0774904afa · outbound

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

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools Finqa: A dataset of numerical reasoning over financial data

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:41:22.104159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:41:21.593236Z digest=sha256:0d3362c8ee06cead43103b479648e9f430c168eefd4959761f9d52e11c0e1342

Pith citing papers

Observation db4f1ccc-58b3-4e11-9c4f-95b13130598a · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools

Reference 196

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:57:38.081514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T02:57:37.873567Z digest=sha256:c3674959f6b7670bf8fef4b4a98c02b05ecba625eb6a26daeb7ea6cf4c86e6e6

Observation 1b27107d-9ac8-4be0-88f6-40b1ce23ec4e · inbound

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning cites this paper.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:49.856183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:49.856183Z digest=sha256:609e4633b7c2d9b630f8e089c18cf2d3b88bb6b2e3c723aaf98f124558ba0a29

Observation 4890fbc6-bcfa-4312-a136-3951f74a366b · inbound

CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market cites this paper.

CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:05:41.294490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-01T05:50:19.208987Z digest=sha256:fd1a149fce594985caad0973863d0696202eec4dfe6600e5bc5df4b6bdce6780