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Paper Citation Record · LEDGER

Refined and Segmented Price Sentiment Indices from Survey Comments

As of 14 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 2026-08-14T06:32:32.682623+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
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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

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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 2026-08-14T06:32:32.682623+00:00.

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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

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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 2026-08-14T06:32:32.682623+00:00.

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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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.622566Z digest=sha256:fa9785ea27c183902bbe1b17035e3fd83d3e86f1bbadfd0283069addd9a16b21

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.629613Z digest=sha256:4e120b599af3a66b858ec59cf2313d49ecf41db3d0a7830983b1376ed33d0270

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.650850Z digest=sha256:adfe016f8bd0c2fe1e0f6623ecd33b26a63d98bfa6e5d7eaefb4dd97ed40b459

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.655241Z digest=sha256:a0f46a2d33d345e752990f9c9124e683d90be5f28e1bb0da66f002687fa191cc

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
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raw_fallback, observed 2026-08-12T20:11:53.218681Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.659340Z digest=sha256:cb307fc7a6dc5a517a4ed564ee07f7cfd6173ba5d3d8189be6353e34679027af

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.663260Z digest=sha256:dc86b2ce9b3c34c9ba015061157629bb902567aa907cf27494ad7dda40f8ba70

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

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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 2026-08-14T06:32:32.682623+00:00.

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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

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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 2026-08-14T06:32:32.682623+00:00.

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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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.674022Z digest=sha256:b3dc5395f26e23044f1f39eed8212c93ae67e64bd8c414da3bc1f0ba04a00880

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:11:52.677600Z digest=sha256:ca64f9bf4186f07b807bb1205535b097180059539e77005c0d1000eeed6851a4

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.684769Z digest=sha256:1f57d546c6cf4abcad6abb56992d2eec83617be4bdc348d1572e8dfe2361df04

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

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raw_fallback, observed 2026-08-12T20:11:53.137815Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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raw_fallback, observed 2026-08-12T20:11:53.126727Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.695673Z digest=sha256:9d5415278f3670c465cbd31f9a6ee4b98efb0e72e4e583545b24ed63f83a23f0

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.699568Z digest=sha256:111ff12bdff30f0aaa90111d70c68f240a1d6357a94b1e084d7e9500a2939acc

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

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raw_fallback, observed 2026-08-12T20:11:53.094125Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.703603Z digest=sha256:4c4096793d29fd33701072abdca02a11ed6d3674d0602fa8554a981e3ee42eab

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.707449Z digest=sha256:a746be702e13c0221a312b31eb2a564ba89717a2685bf7ca050dcd7ab6dd6cd1

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.711033Z digest=sha256:820450813b21e4a8f421c94b23c0a65aca575d7155f27e38f6451061e78641cc

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.

source=pdf_text observed=2026-08-12T20:11:52.714577Z digest=sha256:177baff44ed3c90461913e2e8cddde1cf0fa4e87d05bc7e3cb55a6e22261e0de

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.718656Z digest=sha256:e8b22e477b6640f4e2fe99f9e3f94cdad8a534f89d0af5835c6e9b714a205578

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.721984Z digest=sha256:e875597b561720385033431752ff7b606bb642d7fadf037856b986ef468d0798

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.725822Z digest=sha256:3aee1fc4f5b7a67907b5d947bb24a4b58b32a66126ebff1b4245e73c6f390a6c

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.729141Z digest=sha256:a790b51975172e55b66fc4ab35c68c101f1b019ff3ae6654d3ae676cfbd2eb6f

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.732976Z digest=sha256:6f895cd643bf8030cf4612f75e148ffd43d7bcdae54a25d853d57bd3d419a9e0

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.

source=pdf_text observed=2026-08-12T20:11:52.736488Z digest=sha256:fd4c6b2d666763592577729cb1161d2364eca205e8e4f856a0a844a787f0ba25

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.740403Z digest=sha256:496746a8132f7c81d71663ca2f665b17f21bef84b41e689fe862920150bfe7f4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.744110Z digest=sha256:1952abd3036ad46a10927f79d39abc5fbe413657f1a9b7e0fb248408fb2f4db6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.747646Z digest=sha256:e794d8bb2ebdab1dea191d471c4b5032a7dbe2186974b166c0d1a408d0cd6dd1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.751268Z digest=sha256:149d3366e029f65b210aa1f65720e53e0954a4c8438564a7f64bccb0a6227b13

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.754760Z digest=sha256:153969d18c056f88f7435a68f15ba9ec024371b28f45eed86e604c7e571fdf96

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.

source=pdf_text observed=2026-08-12T20:11:52.758425Z digest=sha256:797e19f93e9b6fa7edd7d3aa472d3b4d8bf4d0416fc6e545dd07ccf5660fc9cb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.763211Z digest=sha256:37f38ef65eb2f1bd22fc940c22fd04e49e7338277b002345b0f4edc754602422

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.766904Z digest=sha256:5217d0f5ee6e8930d300a0419102a8ee1e3e9a0461a2415f1bea4021a27bbd5a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:11:52.771449Z digest=sha256:4370ec4e82854df428a026f2a7c84fd4fcee21d765d42ee078e5a6cdd707271c

Pith citing papers

No inbound Pith citation observations are available.