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Paper Citation Record · LEDGER

DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2310.15205.

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

pith.paper-citation-record.v1
2310.15205 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:39:34.701168Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:25:41.504539Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b8a92fb3-fb7d-4b6d-85f6-706c9db9d773 · inbound

FinTruthQA: A Benchmark for AI-Driven Financial Disclosure Quality Assessment in Investor -- Firm Interactions cites this paper.

FinTruthQA: A Benchmark for AI-Driven Financial Disclosure Quality Assessment in Investor -- Firm Interactions DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:55:53.542571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T23:55:14.855176Z digest=sha256:4b248d80267bcfc1b54d91b1a3cc3fc9f000a0daa98bdfd262a26740eef9e65d

Observation cfcaecbc-6ccb-485d-80cb-492b650e2912 · inbound

PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling cites this paper.

PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:43:23.672488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T19:39:35.147671Z digest=sha256:9eeed657166803d33ef44532bc65c5b7343d3901a86c8a5c98a9f2c9035f1896

Observation f2308a26-6e33-4554-8d1e-e50361b9f7dc · 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 DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:50.586512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:50.586512Z digest=sha256:56ec86fc0b230e31ece6c81e37a36744cefa2e6be5193bc2524938fd17ea5553

Observation 42564f46-25f4-4f7f-bbbe-d7a7ea66f6df · 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 DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:41.685280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:41.685280Z digest=sha256:5cfb8144e4c351b25ac0cb2a429bade8f86fa54083725642a88a7be614070dcb

Observation 9358e498-c053-422d-a4e0-9de3ad09eb5a · 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 DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:14.121203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:14.121203Z digest=sha256:3231ef6645d3fc84e424ff2c7e18e01a4e36cf4e162396cbd6f082f775bb7805

Observation f2453ca0-4cf9-410e-b50f-3e3f65c91932 · inbound

Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning cites this paper.

Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T15:07:37.072008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:07:37.072008Z digest=sha256:8738b2a107b1d66fa196986253359cff6102f09c9b601cb889db10fa2857ee2b

Observation 46c640d0-c46f-4f67-b800-d990868e7eb9 · 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) DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:42:46.495906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T17:42:34.395450Z digest=sha256:e33f2008d6137ae5d84fd5ae40d5f3366a549b49bd0eccf667e1f56379e373fa

Observation 4b40f781-39fc-47da-b9a0-0acf109d486b · 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) DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T18:57:21.642719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:57:21.642719Z digest=sha256:cea2510eba3aa247e5d5f2d3047d8f6f341468e8aef8fd2da7bf01995b80925e

Observation f5c900ef-0e19-4562-a4a3-6364ad23dadd · inbound

Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models cites this paper.

Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:40:54.063118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T03:31:33.964471Z digest=sha256:f9d45edf9bf0c24ea776cd46b7fc567b2a086d4d2a8f8c1383fd042b7da905bc

Observation 21235bf9-e453-44dd-9246-b1f10f493b5e · inbound

Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain cites this paper.

Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:16:15.767630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T02:15:53.024591Z digest=sha256:c8adc6b7b168037fdb7bbc3dfc4ff2ceb1b4033d41d1913b2906d23834e023e2

Observation 63e71a9f-a329-483b-a661-dbf8b8b27631 · inbound

CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning cites this paper.

CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 137

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:25:41.505960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:33:52.027771Z digest=sha256:cf9bdb51d3c37c45d169011d024c42281f25db69e63069a4714788c3295f1aec

Observation e5fbf2a1-d75e-486b-8828-2b3768a59c10 · inbound

FinProBench: Evaluating Financial AI Agents with Role-Grounded Rubrics Derived from Professional Deliverables cites this paper.

FinProBench: Evaluating Financial AI Agents with Role-Grounded Rubrics Derived from Professional Deliverables DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T00:39:34.701168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:39:34.701168Z digest=sha256:3c19fe662068968342461f9841b192caf57c07854f686331f583f76b6a1fe76a