Paper Citation Record · LEDGER

Nano-ESG: Extracting Corporate Sustainability Information from News Articles

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.15093.

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

pith.paper-citation-record.v1
2412.15093 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:41:38.585987Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

31 of 31 outbound references displayed

verified exact8
verified fuzzy2
unresolved16
parse uncertain0
malformed identifier5
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d05a82bc-d79d-41fb-8488-848f1a64fec5 · outbound

This paper cites SSRN Electronic Journal (2019).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles SSRN Electronic Journal (2019)

Reference 1

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T11:41:39.563630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3413ea19-2cf9-4ab8-846d-7a7d261ad72a · outbound

This paper cites In: Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing (FinNLP) and the Second Multimodal AI For Financial Forecasting (Muf- fin).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles In: Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing (FinNLP) and the Second Multimodal AI For Financial Forecasting (Muf- fin)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:39.547142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 162ed7a1-6119-4425-a5e3-56762e88a6ef · outbound

This paper cites Proceed- ings of the Sixth Workshop on Financial Technology and Natural Language Processing pp.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Proceed- ings of the Sixth Workshop on Financial Technology and Natural Language Processing pp

Reference 3

Resolution: verified exact; doi, observed 2026-08-11T11:41:38.970544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 747ca1d4-d88b-47d8-9955-a6bba75519d4 · outbound

This paper cites an unresolved cited work.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:41:39.529716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fba98da6-c25d-4db6-852d-982bf47488b8 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.447238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48064482-0f98-4878-bed7-2950f62ba913 · outbound

This paper cites Journal of Enterprising Commu- nities: People and Places in the Global Economyahead-of-print(ahead- of-print) (2023).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Journal of Enterprising Commu- nities: People and Places in the Global Economyahead-of-print(ahead- of-print) (2023)

Reference 6

Resolution: verified exact; doi, observed 2026-08-11T11:41:38.935016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3d09cfee-1b29-4956-83d4-37ca4bc7c665 · outbound

This paper cites 11173–11195 (2023).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles 11173–11195 (2023)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.458756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99ab05b4-1b19-487c-90f0-02612ac47021 · outbound

This paper cites Schmalenbach Jour- nal of Business Research76(2), 197–244 (2024).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Schmalenbach Jour- nal of Business Research76(2), 197–244 (2024)

Reference 8

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T11:41:39.510130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e1439bfe-386b-4959-99f7-901d93188492 · outbound

This paper cites 2023 IEEE International Conference on Big Data (BigData)00, 2823–2830 (2023).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles 2023 IEEE International Conference on Big Data (BigData)00, 2823–2830 (2023)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.469007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaa39f4d-438a-4e3d-bf16-b70c17e08b46 · outbound

This paper cites Psychological Bulletin 76(5), 378–382 (1971).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Psychological Bulletin 76(5), 378–382 (1971)

Reference 10

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T11:41:39.492031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 130d9dca-040f-490c-b341-7f8d40e81312 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.479519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25b16844-028c-4274-9a89-01a82abecf83 · outbound

This paper cites arXiv (2024).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles arXiv (2024)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.485301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1df19c0d-1f2d-4e2f-8594-39702ab6f00d · outbound

This paper cites CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:41:38.886263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation de4068c1-8bdb-4d48-8983-d64053b2e528 · outbound

This paper cites Sustainable Production and Consumption25, 123–135 (8 2020).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Sustainable Production and Consumption25, 123–135 (8 2020)

Reference 14

Resolution: verified exact; doi, observed 2026-08-11T11:41:38.859017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8b9a336d-9fb5-4be7-8ff0-206090b3e052 · outbound

This paper cites Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.501144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5da3d59-1094-4e83-9fd5-ab02385bc220 · outbound

This paper cites IEEE Access12, 71876–71900 (2024).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles IEEE Access12, 71876–71900 (2024)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.506471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edd6f509-eee8-4954-b087-ccce04b6f281 · outbound

This paper cites Environment, Development and Sustainability26(2), 3045–3079 (2024).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Environment, Development and Sustainability26(2), 3045–3079 (2024)

Reference 17

Resolution: verified exact; doi, observed 2026-08-11T11:41:38.820536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4fef5449-62a7-4088-b5d8-176498e8ab10 · outbound

This paper cites arXiv (2023).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles arXiv (2023)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:41:39.474287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 221b453d-dfe2-4841-aa4d-b5b18ffb1e9a · outbound

This paper cites Training language models to follow instructions with human feedback.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Training language models to follow instructions with human feedback

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.520983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b0fb5b-d2c6-4d53-bf80-51c54265c939 · outbound

This paper cites ESG-FTSE: A corpus of news articles with ESG relevance labels and use cases.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles ESG-FTSE: A corpus of news articles with ESG relevance labels and use cases

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:41:38.775696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ef25470c-23e8-47b6-81c9-19548fc7f229 · outbound

This paper cites Journal of Business Ethics171(3), 583–597 (2021).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Journal of Business Ethics171(3), 583–597 (2021)

Reference 21

Resolution: verified exact; doi, observed 2026-08-11T11:41:38.748188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1bfa988f-9944-4431-bf3b-1af61b2afb60 · outbound

This paper cites Large Language Models for Data Annotation and Synthesis: A Survey.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Large Language Models for Data Annotation and Synthesis: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.538885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0c0cf0f-e231-404b-b342-cccf474137e3 · outbound

This paper cites an unresolved cited work.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:41:39.330043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 446d10a4-560a-4e7e-b170-933db6e43601 · outbound

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

Nano-ESG: Extracting Corporate Sustainability Information from News Articles LLaMA: Open and Efficient Foundation Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.549054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ff3771-3360-4df5-bb14-55373fe44494 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.554095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a770aa8a-e288-435a-b11f-998e033bec83 · outbound

This paper cites ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.559605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bae82f7-6f78-49bf-8122-4080a40a7333 · outbound

This paper cites PLoS ONE15(9), e0237073 (2020).

Nano-ESG: Extracting Corporate Sustainability Information from News Articles PLoS ONE15(9), e0237073 (2020)

Reference 27

Resolution: verified exact; doi, observed 2026-08-11T11:41:38.660373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d47dc924-3f7d-4a51-917f-e0cb48178f1b · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.569912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31a2be97-a8bc-4187-97c9-2a7edd6d8ce4 · outbound

This paper cites GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:38.575517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9147a097-e464-4030-9190-ddb2eaeeb6ce · outbound

This paper cites Practice.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles Practice

Reference 30

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T11:41:39.312928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation adcc9be8-9fdd-4108-80af-e3296a31e95e · outbound

This paper cites https://doi.org/10.3390/ su13168940.

Nano-ESG: Extracting Corporate Sustainability Information from News Articles https://doi.org/10.3390/ su13168940

Reference 31

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T11:41:39.291924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.