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Paper Citation Record · LEDGER

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

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:57:21.642719Z

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:55:14.855176Z digest=sha256:55972748a54e8904ffbb009190f29fdd48326b338f22ab5e6c08defeffd86b65

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T19:39:35.147671Z digest=sha256:11ab306093524636a6b39e8b47c97213a400a520e763669856de69b381d45822

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-18T17:42:34.395450Z digest=sha256:bad5351106e714d2154d27a082e7cf943b292a8afb49c71b690157673987c801

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=sha256:25e4dda443096973374cb41fa72d8eb463d3f40101f25d1d982248e24fed8047

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-11T03:31:33.964471Z digest=sha256:9e5dd6c99c41d502c680daf6fd369c41615f54c947f68e752fe4ee3f57a6c7d4

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T02:15:53.024591Z digest=sha256:7a2532a7e77316bff37a89f9493e4ee5a8230f2ef27b82c0fb4e4a96033aa2e0

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-07-01T05:33:52.027771Z digest=sha256:a850c91a74490200076f1f1865487fb9b84d686f71bd4131737200dc17e6cade