Paper Citation Record · LEDGER

Refined and Segmented Price Sentiment Indices from Survey Comments

As of 15 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2411.09937.

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

pith.paper-citation-record.v1
2411.09937 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:11:52.771449Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact2
verified fuzzy36
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b6bb998-fd57-43db-ac5a-b9426ebf830f · outbound

This paper cites Estimation of firms’ inflation expectations using the survey DI,.

Refined and Segmented Price Sentiment Indices from Survey Comments Estimation of firms’ inflation expectations using the survey DI,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.340287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 49f22437-bc31-44ec-afb5-6921be012be8 · outbound

This paper cites Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks,.

Refined and Segmented Price Sentiment Indices from Survey Comments Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.329806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8b4be811-7a73-4333-b048-4f790c45c76c · outbound

This paper cites Forecasting UK inflation bottom up,.

Refined and Segmented Price Sentiment Indices from Survey Comments Forecasting UK inflation bottom up,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.319118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19160fef-5dcc-486c-943f-58ed89d2a48e · outbound

This paper cites Internet search behavior as an economic forecasting tool: The case of inflation expectations,.

Refined and Segmented Price Sentiment Indices from Survey Comments Internet search behavior as an economic forecasting tool: The case of inflation expectations,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.307496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cfbef537-a632-4ef0-b4d4-159e62145b95 · outbound

This paper cites Nowcasting prices using Google trends: an application to Central America,.

Refined and Segmented Price Sentiment Indices from Survey Comments Nowcasting prices using Google trends: an application to Central America,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.296195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b22a77e4-726a-436c-9ac0-a413cfab52d7 · outbound

This paper cites Economic analysis using machine learning: Text mining of the Economy Watchers Survey,.

Refined and Segmented Price Sentiment Indices from Survey Comments Economic analysis using machine learning: Text mining of the Economy Watchers Survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.285089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e40c8815-1798-403c-87e0-3cfc68dc0c35 · outbound

This paper cites Extracting firms’ short-term inflation expectations from the Economy Watchers Survey using text analysis,.

Refined and Segmented Price Sentiment Indices from Survey Comments Extracting firms’ short-term inflation expectations from the Economy Watchers Survey using text analysis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.273454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation db112f03-27af-4c14-9887-cd38703ea4e2 · outbound

This paper cites Development and anal- ysis of medical instruction-tuning for Japanese large language models,.

Refined and Segmented Price Sentiment Indices from Survey Comments Development and anal- ysis of medical instruction-tuning for Japanese large language models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.262520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 046d1ec1-5145-462c-9653-9f7cea50cf75 · outbound

This paper cites Large Language Models are legal but they are not: Making the case for a powerful LegalLLM,.

Refined and Segmented Price Sentiment Indices from Survey Comments Large Language Models are legal but they are not: Making the case for a powerful LegalLLM,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.251095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 91f43ad2-67aa-4f45-9056-c2bc93c44626 · outbound

This paper cites JaFIn: Japanese Financial Instruction Dataset.

Refined and Segmented Price Sentiment Indices from Survey Comments JaFIn: Japanese Financial Instruction Dataset

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:11:52.922509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4a1c0f6f-8603-4f69-9083-6ba0bd98593f · outbound

This paper cites Language models are few-shot learners,.

Refined and Segmented Price Sentiment Indices from Survey Comments Language models are few-shot learners,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.239795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d7bfa21e-9d80-4e26-9920-1fe8f470c303 · outbound

This paper cites Large language models are zero-shot reasoners,.

Refined and Segmented Price Sentiment Indices from Survey Comments Large language models are zero-shot reasoners,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.229606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3550603e-cbbe-4292-a1d9-58049f76d4b8 · outbound

This paper cites The causal relationship between producer price index and consumer price index: Empirical evidence from selected European countries,.

Refined and Segmented Price Sentiment Indices from Survey Comments The causal relationship between producer price index and consumer price index: Empirical evidence from selected European countries,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.218681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2614b71a-bc66-4610-b651-5ff1e3811fe6 · outbound

This paper cites Exchange rate pass- through to Japanese prices: Import prices, producer prices, and the core CPI,.

Refined and Segmented Price Sentiment Indices from Survey Comments Exchange rate pass- through to Japanese prices: Import prices, producer prices, and the core CPI,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.206769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 478acdb0-0301-4fd3-abcd-72b2ac8befde · outbound

This paper cites Dynamic causality between PPI and CPI in China: A rolling window bootstrap approach,.

Refined and Segmented Price Sentiment Indices from Survey Comments Dynamic causality between PPI and CPI in China: A rolling window bootstrap approach,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.195563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9e671239-166d-45d6-b6e7-cdcbbb4233e8 · outbound

This paper cites The consumer price index prediction using machine learning approaches: Evidence from the united states,.

Refined and Segmented Price Sentiment Indices from Survey Comments The consumer price index prediction using machine learning approaches: Evidence from the united states,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.184183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 03ca19ef-5b82-4304-9fb0-9a98f3e9bdf8 · outbound

This paper cites Comparison four kernels of svr to predict consumer price index,.

Refined and Segmented Price Sentiment Indices from Survey Comments Comparison four kernels of svr to predict consumer price index,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.171672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5ca2ac9c-eecf-4529-85be-06a1445d3968 · outbound

This paper cites Predicting Socio-Economic Indicators using News Events,.

Refined and Segmented Price Sentiment Indices from Survey Comments Predicting Socio-Economic Indicators using News Events,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T20:11:52.677600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9638e7dd-187d-4965-bdd4-d23f45c485bf · outbound

This paper cites Measuring news sentiment,.

Refined and Segmented Price Sentiment Indices from Survey Comments Measuring news sentiment,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.159550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eae2e7e8-4ce6-46b3-b3e8-de4f5c8b3de0 · outbound

This paper cites Can we measure inflation expectations using twitter?.

Refined and Segmented Price Sentiment Indices from Survey Comments Can we measure inflation expectations using twitter?

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.148755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7de734dc-e0fd-4bb0-8127-b7989e5a6017 · outbound

This paper cites Sentiment Summarization of Financial Reports by LSTM RNN model with the Japan Economic Watcher Survey Data,.

Refined and Segmented Price Sentiment Indices from Survey Comments Sentiment Summarization of Financial Reports by LSTM RNN model with the Japan Economic Watcher Survey Data,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.137815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 18538e10-dbce-4a98-a4ac-1fd12cddccfe · outbound

This paper cites News-based business sentiment and its properties as an economic index,.

Refined and Segmented Price Sentiment Indices from Survey Comments News-based business sentiment and its properties as an economic index,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.126727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d5fa831-9f2b-4ad2-9046-b7f07dde1344 · outbound

This paper cites Stock Selection Attempt using Sentiment of Japan Company Handbook,.

Refined and Segmented Price Sentiment Indices from Survey Comments Stock Selection Attempt using Sentiment of Japan Company Handbook,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.115373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4d80d621-b7e7-4e8a-8694-7485c1b6997b · outbound

This paper cites Forecasting Japanese inflation with a news-based leading indicator of economic activities,.

Refined and Segmented Price Sentiment Indices from Survey Comments Forecasting Japanese inflation with a news-based leading indicator of economic activities,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.104983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation beca31ab-923f-4f17-916a-82ccf17f33c5 · outbound

This paper cites Ex- tracting firms’ short-term inflation expectations from survey comments using text analysis,.

Refined and Segmented Price Sentiment Indices from Survey Comments Ex- tracting firms’ short-term inflation expectations from survey comments using text analysis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.094125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9c300ef5-39c8-4ce9-b50d-f6a36db05556 · outbound

This paper cites Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing,.

Refined and Segmented Price Sentiment Indices from Survey Comments Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.083450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c4026d4-c2e6-4525-8ffb-b908935e5021 · outbound

This paper cites Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks,.

Refined and Segmented Price Sentiment Indices from Survey Comments Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.072840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 573da6b6-b02d-44fc-87b7-2fb144ca5c46 · outbound

This paper cites FinBen: A Holistic Financial Benchmark for Large Language Models.

Refined and Segmented Price Sentiment Indices from Survey Comments FinBen: A Holistic Financial Benchmark for Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T20:11:52.714577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b57e23ea-4e2b-492b-8d39-32d552a7d710 · outbound

This paper cites Construction of a Japanese Financial Benchmark for Large Language Models,.

Refined and Segmented Price Sentiment Indices from Survey Comments Construction of a Japanese Financial Benchmark for Large Language Models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.061358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d17a6aa-a967-44c3-9914-ac38833a929f · outbound

This paper cites Chatgpt-based investment portfolio selection,.

Refined and Segmented Price Sentiment Indices from Survey Comments Chatgpt-based investment portfolio selection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.048953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4734c2ad-fafd-4cd9-a8b9-c74cc6b0b6a8 · outbound

This paper cites Can ChatGPT improve investment decisions? From a portfolio management perspective,.

Refined and Segmented Price Sentiment Indices from Survey Comments Can ChatGPT improve investment decisions? From a portfolio management perspective,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.037731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d2028303-f1cf-4f53-9fc7-cc7fd676a4c9 · outbound

This paper cites Can ChatGPT assist in picking stocks?.

Refined and Segmented Price Sentiment Indices from Survey Comments Can ChatGPT assist in picking stocks?

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.026582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ac3d3974-fe66-4884-a547-57afd1552ba0 · outbound

This paper cites LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction,.

Refined and Segmented Price Sentiment Indices from Survey Comments LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.016003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 91ca312c-977b-46cb-84c1-db23dedcbfc7 · outbound

This paper cites Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models,.

Refined and Segmented Price Sentiment Indices from Survey Comments Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T20:11:52.736488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0e2f669-bb11-4210-abb6-82eda95e22e3 · outbound

This paper cites Economy Watchers Survey Provides Datasets and Tasks for Japanese Financial Domain.

Refined and Segmented Price Sentiment Indices from Survey Comments Economy Watchers Survey Provides Datasets and Tasks for Japanese Financial Domain

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:11:52.829573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a441e8a5-ef7d-4a29-bb3e-205ebee3813f · outbound

This paper cites FinDeBERTaV2: Word-Segmentation-Free Pre-trained Language Model for Finance,.

Refined and Segmented Price Sentiment Indices from Survey Comments FinDeBERTaV2: Word-Segmentation-Free Pre-trained Language Model for Finance,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:53.004804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b38c030b-199d-41f8-a7be-3b8e18c123f3 · outbound

This paper cites Constructing and analyzing domain-specific language model for financial text mining,.

Refined and Segmented Price Sentiment Indices from Survey Comments Constructing and analyzing domain-specific language model for financial text mining,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:52.993594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 47c6df54-64e5-4dec-a14b-726e3f53282c · outbound

This paper cites Sudachi: a Japanese Tokenizer for Business,.

Refined and Segmented Price Sentiment Indices from Survey Comments Sudachi: a Japanese Tokenizer for Business,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:52.981625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aebf6479-097c-4b8d-976d-e8e48c2bbe97 · outbound

This paper cites From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models,.

Refined and Segmented Price Sentiment Indices from Survey Comments From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:52.969664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 152fde4d-ca08-40ac-944c-c523f99f4e11 · outbound

This paper cites LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs.

Refined and Segmented Price Sentiment Indices from Survey Comments LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T20:11:52.758425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b47477d-3607-4f1b-8db0-824fa7ac068f · outbound

This paper cites Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capa- bilities,.

Refined and Segmented Price Sentiment Indices from Survey Comments Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capa- bilities,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:52.957783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d8c1d2c-414e-4dad-b2d6-ff2b9e867bed · outbound

This paper cites an unresolved cited work.

Refined and Segmented Price Sentiment Indices from Survey Comments Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:11:52.946589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 58ba33a3-b49e-41cd-95f4-5e5b4c7333ec · outbound

This paper cites Yes”, and if it does not, answer “No.

Refined and Segmented Price Sentiment Indices from Survey Comments Yes”, and if it does not, answer “No

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:11:52.935180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.