Paper Citation Record · LEDGER

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.08015.

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

pith.paper-citation-record.v1
2507.08015 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:50:40.867224Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

44 of 44 outbound references displayed

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verified fuzzy26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f5ad239-1673-4a50-a819-5adaff033c90 · outbound

This paper cites Sentiment classification: Review of text vectorization methods: Bag of words, tf-idf, word2vec and doc2vec.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Sentiment classification: Review of text vectorization methods: Bag of words, tf-idf, word2vec and doc2vec

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.687813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d5778107-b7e7-4979-a18c-befbbe2650ae · outbound

This paper cites Ai in financial services: Fraud detection, algorithmic trading, and risk assessment.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Ai in financial services: Fraud detection, algorithmic trading, and risk assessment

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.671702Z

Source-reported events for the cited work

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Observation b52cbf3c-b9f7-43a3-b56e-c223ed424454 · outbound

This paper cites Ai competencies for internal auditors in the public sector.Edpacs, 69(1):3–21, 2024.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Ai competencies for internal auditors in the public sector.Edpacs, 69(1):3–21, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.655500Z

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Observation 3c859ee8-65aa-4305-8481-1ddd7b3431f7 · outbound

This paper cites FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 4

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Observation 62db3425-f6b2-48ae-8afb-b2bfc67c1772 · outbound

This paper cites Language models are few-shot learners.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Language models are few-shot learners

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:39.782275Z

Source-reported events for the cited work

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Observation 4c640c83-1f6c-494d-b5f7-54e9e3a5fcc3 · outbound

This paper cites Flare-fiqa-sa: Financial sentiment dataset.https://huggingface.co/datasets/ChanceFocus/ flare-fiqasa, 2023.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Flare-fiqa-sa: Financial sentiment dataset.https://huggingface.co/datasets/ChanceFocus/ flare-fiqasa, 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.629292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7d78bdaa-84a8-44df-9e6d-de297db70206 · outbound

This paper cites Cikm18 stock dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Cikm18 stock dataset

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.613965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a2c0d8c6-d162-4a5a-ae1c-d3c138344232 · outbound

This paper cites Flare-ectsum: Financial summarization dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Flare-ectsum: Financial summarization dataset

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.587820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2492cfc9-6dd2-489c-9251-fa743949c588 · outbound

This paper cites Flare-finqa: Financial qa dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Flare-finqa: Financial qa dataset

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.573177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0bef47a8-6dcd-4a7f-8cbf-a3255d477b88 · outbound

This paper cites Stocknet dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Stocknet dataset

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.557845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b04c482e-d558-4501-9392-46965db27e35 · outbound

This paper cites How artificial intelligence is reshaping the financial services industry, 2024.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications How artificial intelligence is reshaping the financial services industry, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.538658Z

Source-reported events for the cited work

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Observation cd0f66fc-a8dc-4422-9468-5008f007401a · outbound

This paper cites an unresolved cited work.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Unresolved cited work

Reference 12

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Observation 08d2c137-dd49-472d-af63-e04656d0112c · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:40.355988Z

Source-reported events for the cited work

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Observation dbdbf825-e730-48d4-9087-e5a448d23010 · outbound

This paper cites An investigation of artificial intelligence application in auditing.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications An investigation of artificial intelligence application in auditing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.521469Z

Source-reported events for the cited work

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Observation 275a3328-5c26-4670-95ae-63680bc1bb1d · outbound

This paper cites Convfinqa dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Convfinqa dataset

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.481108Z

Source-reported events for the cited work

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Observation ba6c965d-95f6-4728-b596-b765dd463ee5 · outbound

This paper cites Enhancing financial risk management with federated ai.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Enhancing financial risk management with federated ai

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.496347Z

Source-reported events for the cited work

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Observation 6c6eb5ae-7b35-4538-a1d4-086c39134ab9 · outbound

This paper cites Fingpt-ner dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Fingpt-ner dataset

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.449286Z

Source-reported events for the cited work

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Observation 968dce4e-6b9c-4c94-aeca-fa24e28e6096 · outbound

This paper cites Fingpt-headline dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Fingpt-headline dataset

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.465250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 82453b24-590a-4f5e-b3b5-55d21bc1ae60 · outbound

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

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing

Reference 19

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Source-reported events for the cited work

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Observation b21d9983-fe04-4181-9214-c62ba7fa7378 · outbound

This paper cites MIT press Cambridge, 2016.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications MIT press Cambridge, 2016

Reference 20

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Observation e9b8c386-71b5-400f-bb23-47cceea57d0d · outbound

This paper cites Analyzing the role of artificial intelligence in it audit: current practices and future prospects.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Analyzing the role of artificial intelligence in it audit: current practices and future prospects

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.405026Z

Source-reported events for the cited work

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Observation fafdae77-827d-4dc1-81b3-c329dc9fc50b · outbound

This paper cites Finbert: A large language model for extracting information from financial text.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Finbert: A large language model for extracting information from financial text

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.420795Z

Source-reported events for the cited work

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Observation a6dafca1-3eef-4887-b8f0-a4254de01c12 · outbound

This paper cites A Survey of Large Language Models in Finance (FinLLMs).

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications A Survey of Large Language Models in Finance (FinLLMs)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:40.762656Z

Source-reported events for the cited work

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Observation 7a98364c-0596-4f26-872e-361f46635dac · outbound

This paper cites A comprehensive review of generative ai in finance.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications A comprehensive review of generative ai in finance

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.388981Z

Source-reported events for the cited work

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Observation 0eb6dfcb-0eb5-40c9-ab07-330dcff7d479 · outbound

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

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:40.773147Z

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Observation ef45655b-95f8-40c3-bcfb-2f55802f301e · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020

Reference 26

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Observation 600749fd-89da-4de8-b254-5af8cee32b0f · outbound

This paper cites A proposal for the dartmouth summer research project on artificial intelligence.WIRED, 2012.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications A proposal for the dartmouth summer research project on artificial intelligence.WIRED, 2012

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.361193Z

Source-reported events for the cited work

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Observation 3ccc6313-3ba7-4d78-b43a-6c747ef676ac · outbound

This paper cites FinGPT: Democratizing Internet-scale Data for Financial Large Language Models.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications FinGPT: Democratizing Internet-scale Data for Financial Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:40.778369Z

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Observation c405ff30-60a9-46fa-867a-61e075af17e0 · outbound

This paper cites Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:40.793490Z

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Observation 65ed72f6-1369-4109-aa3c-8b20db79853f · outbound

This paper cites Deep learning for financial applica- tions: A survey.Applied soft computing, 93:106384, 2020.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Deep learning for financial applica- tions: A survey.Applied soft computing, 93:106384, 2020

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.345164Z

Source-reported events for the cited work

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Observation 455b89ad-b7c0-4775-89bb-5cad4b6b0bf0 · outbound

This paper cites Generative adversarial networks applied to synthetic financial scenarios generation.Physica A: Statistical Mechanics and its Applications, 623:128899, 2023.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Generative adversarial networks applied to synthetic financial scenarios generation.Physica A: Statistical Mechanics and its Applications, 623:128899, 2023

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.313845Z

Source-reported events for the cited work

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Observation c1177a1e-02a4-4a43-a07f-6b9769d97544 · outbound

This paper cites Artificial intelligence and the evolution of finance: opportunities, challenges and ethical considerations.EdTech Journal, 3(1):20–23, 2023.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Artificial intelligence and the evolution of finance: opportunities, challenges and ethical considerations.EdTech Journal, 3(1):20–23, 2023

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.329562Z

Source-reported events for the cited work

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Observation 3cdeba5f-5999-47f1-a372-50f0c6c3aa51 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 33

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Observation 74df0c44-2325-45e9-bd21-dcae455b3484 · outbound

This paper cites International Monetary Fund, 2023.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications International Monetary Fund, 2023

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.295730Z

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Observation 337af3df-691b-4095-8c60-443b247c9156 · outbound

This paper cites Flare-fpb: Financial phrase bank dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Flare-fpb: Financial phrase bank dataset

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.254338Z

Source-reported events for the cited work

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Observation a911ec6f-d3af-41fd-bacf-6bedd376ff75 · outbound

This paper cites Bigdata22 dataset.https://huggingface.co/datasets/TheFinAI/flare-sm-bigdata, 2023.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Bigdata22 dataset.https://huggingface.co/datasets/TheFinAI/flare-sm-bigdata, 2023

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.270348Z

Source-reported events for the cited work

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Observation de0085d0-d98e-43fb-a95c-512b541fb715 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications LLaMA: Open and Efficient Foundation Language Models

Reference 37

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Source-reported events for the cited work

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Observation 448fba1c-b80c-4b32-9fc3-b19f52f3375b · outbound

This paper cites Flare-fpb: Financial language analysis for real-world events - financial phrasebank.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Flare-fpb: Financial language analysis for real-world events - financial phrasebank

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.236714Z

Source-reported events for the cited work

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Observation aa99ed99-a59a-4217-9a98-9c001505b94e · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications BloombergGPT: A Large Language Model for Finance

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:40.846779Z

Source-reported events for the cited work

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Observation a6c6531c-75c4-4fdc-908a-aed9d5bcc9c3 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:40.841688Z

Source-reported events for the cited work

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Observation 61675cc9-c783-41bd-9b36-e85d3e8dbe6d · outbound

This paper cites Fingpt: Open-source financial large language models.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Fingpt: Open-source financial large language models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:40.857477Z

Source-reported events for the cited work

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Observation 58fa0fc6-ae4b-4eeb-bbba-9288718297b1 · outbound

This paper cites PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:40.852734Z

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Observation c80f8023-4e9d-4ce2-a2c2-74217714c70a · outbound

This paper cites Gpt (generative pre-trained transformer)–a comprehensive review on enabling technologies, potential applications, emerging challenges, and future directions.IEEE Access, 2024.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Gpt (generative pre-trained transformer)–a comprehensive review on enabling technologies, potential applications, emerging challenges, and future directions.IEEE Access, 2024

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:50:41.208959Z

Source-reported events for the cited work

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Observation 858b7db2-92ad-43dc-a895-92883eea4f1c · outbound

This paper cites InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:40.862273Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.