Paper Citation Record · LEDGER

Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2311.15548.

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

pith.paper-citation-record.v1
2311.15548 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:33:20.645006Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:28:44.633297Z

Reference resolution

0 of 0 outbound references displayed

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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 aee91cfd-4296-44ab-ba4f-7d6b9d5b4750 · inbound

ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Tracking cites this paper.

ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Tracking Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T23:33:20.645006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87c851e9-2767-48d4-b864-29d774e54042 · inbound

Proof-Carrying Numbers (PCN): A Protocol for Trustworthy Numeric Answers from LLMs via Claim Verification cites this paper.

Proof-Carrying Numbers (PCN): A Protocol for Trustworthy Numeric Answers from LLMs via Claim Verification Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:16.824337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9f64e5-717e-4377-a5b6-28a2823da3b2 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 180

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T00:31:24.658064Z

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.

Observation 637d8bcf-cb45-4222-835e-ef3837d841cc · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 180

Resolution: unresolved; no resolver link, observed 2026-08-03T18:19:26.487757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32f6ee1-74bf-4a34-a315-be04789b2f7f · inbound

HTDC: Hesitation-Triggered Differential Calibration for Mitigating Hallucination in Large Vision-Language Models cites this paper.

HTDC: Hesitation-Triggered Differential Calibration for Mitigating Hallucination in Large Vision-Language Models Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:01:04.054066Z

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.

Observation 2802dbf2-8f6e-4498-94c4-f26c377e0436 · inbound

Structure Guided Retrieval-Augmented Generation for Factual Queries cites this paper.

Structure Guided Retrieval-Augmented Generation for Factual Queries Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:21:06.355356Z

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.

Observation 255fa9d4-a74b-48b4-ad69-0fd842d9071e · inbound

You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation cites this paper.

You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:08.630962Z

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.

Observation 5016a8e4-aec1-4d03-a45c-0b217f0a7dc5 · inbound

The Alpha Illusion: Reported Alpha from LLM Trading Agents Should Not Be Treated as Deployment Evidence cites this paper.

The Alpha Illusion: Reported Alpha from LLM Trading Agents Should Not Be Treated as Deployment Evidence Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-19T19:22:44.987058Z

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.

Observation 774e5977-a0ad-420f-9365-4ce12c8c0859 · inbound

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation cites this paper.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.906084Z

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.

Observation e544a432-6f86-4b0d-8595-d0185d33e885 · inbound

Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA cites this paper.

Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:26:12.568213Z

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.

Observation cd6d6c99-e44b-4326-9a35-387f68d89da1 · inbound

Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models cites this paper.

Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:32:38.010984Z

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.

Observation cbc2342e-44d4-493e-87f6-691b48ca4d93 · inbound

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios cites this paper.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:57:15.331643Z

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.

Observation 28fa08c8-2f5d-4340-b60d-eaa0645b0684 · inbound

BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation cites this paper.

BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:28:44.634905Z

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.

Observation 92e8d459-6a9d-4313-aa11-3030156d257d · inbound

Hallucination Detection in Large Language Models Using Diversion Decoding cites this paper.

Hallucination Detection in Large Language Models Using Diversion Decoding Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T11:26:23.545785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.