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Paper Citation Record · LEDGER

Measuring Sentiment News with Transformer-Based Language Models

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.13968.

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

pith.paper-citation-record.v1
2607.13968 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:14:41.868859Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation 391bb50c-15f8-4228-8b2a-029c81ad9d9f · outbound

This paper cites Chapters , pages=.

Measuring Sentiment News with Transformer-Based Language Models Chapters , pages=

Reference 1

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source=arxiv_source observed=2026-08-02T03:14:38.343909Z digest=sha256:4d9f3745c70d079a5398a6cb54c66f1d7868df800272aa8bd89264f21ba4cc72

Observation 1f217f59-aa69-40d8-b4f4-535cde304866 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Measuring Sentiment News with Transformer-Based Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

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source=arxiv_source observed=2026-08-02T03:14:38.435933Z digest=sha256:b8792686a1f2de6fcaef4e6f41bee1417afd9aa8395b58593c82b8783be86a6e

Observation 37296b6a-63b7-41dc-9190-ff8a8ab4a8cc · outbound

This paper cites Science , volume=.

Measuring Sentiment News with Transformer-Based Language Models Science , volume=

Reference 3

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source=arxiv_source observed=2026-08-02T03:14:38.568427Z digest=sha256:c09c6be0fc91936abcca935e5b3f684307a232062ad61e4881521279cbd8f134

Observation f57a9964-c0cc-43d7-a9ad-d25f7a67fdb3 · outbound

This paper cites 2025 , institution=.

Measuring Sentiment News with Transformer-Based Language Models 2025 , institution=

Reference 4

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source=arxiv_source observed=2026-08-02T03:14:38.701097Z digest=sha256:56f4e2eec78da731766d7eb910f71d4661cf8ae3d277c235ca506c4b6fa1c06e

Observation 457fc05b-cf97-4edc-a659-30c5ecd4908e · outbound

This paper cites ac—A subject pool for online experiments , author=.

Measuring Sentiment News with Transformer-Based Language Models ac—A subject pool for online experiments , author=

Reference 5

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source=arxiv_source observed=2026-08-02T03:14:38.841294Z digest=sha256:52e6f179f44b5c8db7a0b8ac0f3042469e6242b1d4043c3307a700fc7c87fc53

Observation a363e410-8952-4442-b285-b105922fe878 · outbound

This paper cites Behavior Research Methods , volume =.

Measuring Sentiment News with Transformer-Based Language Models Behavior Research Methods , volume =

Reference 6

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source=arxiv_source observed=2026-08-02T03:14:38.963506Z digest=sha256:338689c1fa098a1e88a0f145f4d4a64c38bb7867713a9ae6f1c0e2bdf984515c

Observation 560eb331-b636-46fc-af55-d9832c16efb0 · outbound

This paper cites 2nd International Conference on Sustainable Business Practices and Innovative Models (ICSBPIM-2025) , pages=.

Measuring Sentiment News with Transformer-Based Language Models 2nd International Conference on Sustainable Business Practices and Innovative Models (ICSBPIM-2025) , pages=

Reference 7

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source=arxiv_source observed=2026-08-02T03:14:39.073469Z digest=sha256:d60311b2f99d29399d090906a7e951184a86d6a48edaf675e86975c5e7856c09

Observation 21990bd5-729f-4f1f-a535-2800f8fe76df · outbound

This paper cites Interpretable Machine Learning for Macro Alpha: A News Sentiment Case Study.

Measuring Sentiment News with Transformer-Based Language Models Interpretable Machine Learning for Macro Alpha: A News Sentiment Case Study

Reference 8

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source=arxiv_source observed=2026-08-02T03:14:39.130295Z digest=sha256:c4cb538ff979985c521e822893c22698f334ebc53f8c07b4f74b2822d75c26c0

Observation 88b1fb23-8af3-44d2-b67b-31a9ca7fe815 · outbound

This paper cites Mathematics , volume=.

Measuring Sentiment News with Transformer-Based Language Models Mathematics , volume=

Reference 9

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Observation db83d41f-473a-4bb1-bbfc-9a32c5cacb16 · outbound

This paper cites Korean Economic Review , volume=.

Measuring Sentiment News with Transformer-Based Language Models Korean Economic Review , volume=

Reference 10

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source=arxiv_source observed=2026-08-02T03:14:39.259071Z digest=sha256:c4ff294cb9628759fa28be296ed392193de8e77fce4a6cd93a274197a395346c

Observation 5bb57ab6-802d-4c26-bc5e-7bcb120e6fd3 · outbound

This paper cites 2025 , institution=.

Measuring Sentiment News with Transformer-Based Language Models 2025 , institution=

Reference 11

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Observation b51e1829-e8b4-46f6-9528-12778a428b82 · outbound

This paper cites 2025 , publisher=.

Measuring Sentiment News with Transformer-Based Language Models 2025 , publisher=

Reference 12

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source=arxiv_source observed=2026-08-02T03:14:39.399510Z digest=sha256:1457b09585d906b2c6e0cd3927c5691e1c8d8efdb047d3ae8741316f5b6bcd1d

Observation d4a69487-05f5-4a23-b699-86b2f15a7b16 · outbound

This paper cites Digital Finance , volume=.

Measuring Sentiment News with Transformer-Based Language Models Digital Finance , volume=

Reference 13

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source=arxiv_source observed=2026-08-02T03:14:39.476038Z digest=sha256:089112a5849d0d00aa16f94c55b4ab5bf0df3d5dbcf405514cc0c64e78ce0b9b

Observation f1de7e72-960d-4a09-82aa-63dd63460222 · outbound

This paper cites Economics Letters , volume=.

Measuring Sentiment News with Transformer-Based Language Models Economics Letters , volume=

Reference 14

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source=arxiv_source observed=2026-08-02T03:14:39.560363Z digest=sha256:359d7104dba83b6ca42205b3a561cb9bdd9a300f5c431bd01c90a1ccead92492

Observation 688b2fd8-c1be-4219-b45e-be54d0d4ad65 · outbound

This paper cites Management Science , volume=.

Measuring Sentiment News with Transformer-Based Language Models Management Science , volume=

Reference 15

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Observation 1ae2b70d-9e6f-447b-8cc8-e1f73e6df2f4 · outbound

This paper cites International Journal of Forecasting , volume=.

Measuring Sentiment News with Transformer-Based Language Models International Journal of Forecasting , volume=

Reference 16

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Observation f8fa1441-53dc-4d89-8a72-f7db9414d3f8 · outbound

This paper cites 2025 , publisher=.

Measuring Sentiment News with Transformer-Based Language Models 2025 , publisher=

Reference 17

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Observation 158b28c2-8ebc-4cc0-b965-8acd9fa67018 · outbound

This paper cites International Journal of Forecasting , volume=.

Measuring Sentiment News with Transformer-Based Language Models International Journal of Forecasting , volume=

Reference 18

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source=arxiv_source observed=2026-08-02T03:14:39.847521Z digest=sha256:7f8145b47d9af05f73dfdebf3663e6e001820928a1d3b7eed42d965af367bff6

Observation d609f567-5498-4243-b58f-e1c134eaed8e · outbound

This paper cites Journal of Applied Econometrics , volume=.

Measuring Sentiment News with Transformer-Based Language Models Journal of Applied Econometrics , volume=

Reference 19

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source=arxiv_source observed=2026-08-02T03:14:40.007849Z digest=sha256:632fa20ec5855290bcbb8ae00c41f35e8d469c854cfd7bebcbf3c4c743dba8f7

Observation ad9a5dac-0867-4be4-a247-2dfad0397404 · outbound

This paper cites Journal of Applied Econometrics , volume=.

Measuring Sentiment News with Transformer-Based Language Models Journal of Applied Econometrics , volume=

Reference 20

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source=arxiv_source observed=2026-08-02T03:14:40.169361Z digest=sha256:069d5918160b686d4f6db3bee0afe7991302b0b93552b0fc35ca0310006b92fd

Observation 04a57618-d7c0-48fe-819a-a3c9c3a9985b · outbound

This paper cites Economic Inquiry , volume=.

Measuring Sentiment News with Transformer-Based Language Models Economic Inquiry , volume=

Reference 21

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source=arxiv_source observed=2026-08-02T03:14:40.279910Z digest=sha256:094000e497e51db5245b812e5711930a446239785581ee97f1c6204a4429a4e9

Observation 0561002d-da5c-43e0-b070-396375ac0184 · outbound

This paper cites Journal of Applied Econometrics , volume=.

Measuring Sentiment News with Transformer-Based Language Models Journal of Applied Econometrics , volume=

Reference 22

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source=arxiv_source observed=2026-08-02T03:14:40.387153Z digest=sha256:984c4d362b548a27b63d4292f6382efa70ead8ce595b5f08d8d664b3661bab25

Observation f13b28b2-442d-4ed2-af1c-5a0ab84cd0f3 · outbound

This paper cites Journal of Business & Economic Statistics , volume=.

Measuring Sentiment News with Transformer-Based Language Models Journal of Business & Economic Statistics , volume=

Reference 23

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source=arxiv_source observed=2026-08-02T03:14:40.476836Z digest=sha256:3454aecd81a3d7d3a7070ca8ccc157f5a84892a302c21235cf169b17d8abf94b

Observation 0a76b710-60ff-4444-9a24-aa115f62d524 · outbound

This paper cites The Review of Economic Studies , volume=.

Measuring Sentiment News with Transformer-Based Language Models The Review of Economic Studies , volume=

Reference 24

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Observation 83e32d6d-5ac8-4ce7-8f9a-a2c02b619c96 · outbound

This paper cites Financial sentiment analysis using FinBERT with application in predicting stock movement.

Measuring Sentiment News with Transformer-Based Language Models Financial sentiment analysis using FinBERT with application in predicting stock movement

Reference 25

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Observation 0a337f0d-4bf2-411e-8beb-406a9e87892a · outbound

This paper cites Journal of econometrics , volume=.

Measuring Sentiment News with Transformer-Based Language Models Journal of econometrics , volume=

Reference 26

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Observation 062b1c14-91dc-4ba8-9ae0-30511000f614 · outbound

This paper cites Proceedings of the 22nd international conference on World Wide Web , pages=.

Measuring Sentiment News with Transformer-Based Language Models Proceedings of the 22nd international conference on World Wide Web , pages=

Reference 27

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Observation 742fb8d3-cfcb-42c4-8872-f9d00d197504 · outbound

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

Measuring Sentiment News with Transformer-Based Language Models FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 28

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source=arxiv_source observed=2026-08-02T03:14:41.061983Z digest=sha256:f6d68386c05fa70e5f17028d5c80a83e2d9c1e3f66e9ce1b135a1ec3eb62d1b4

Observation 1434721a-27a8-46bb-a074-2da268fe8014 · outbound

This paper cites Journal of the Association for Information Science and Technology , volume=.

Measuring Sentiment News with Transformer-Based Language Models Journal of the Association for Information Science and Technology , volume=

Reference 29

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Observation 3a08583e-6a4f-491b-a83c-af97d6dac80d · outbound

This paper cites The Journal of finance , volume=.

Measuring Sentiment News with Transformer-Based Language Models The Journal of finance , volume=

Reference 30

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Observation 641b5eb9-1f6f-4530-b2c9-3dd4106f93c7 · outbound

This paper cites Advances in neural information processing systems , volume=.

Measuring Sentiment News with Transformer-Based Language Models Advances in neural information processing systems , volume=

Reference 31

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Observation 4106368c-4693-47aa-b7b2-32b49915eaab · outbound

This paper cites Statistical methods in medical research , volume=.

Measuring Sentiment News with Transformer-Based Language Models Statistical methods in medical research , volume=

Reference 32

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Observation 5ed2fc34-4580-4d8b-bb84-49e4eaf514a2 · outbound

This paper cites Longformer: The Long-Document Transformer.

Measuring Sentiment News with Transformer-Based Language Models Longformer: The Long-Document Transformer

Reference 33

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Observation bd1d0f50-afd6-4e6e-81a8-406a73611b77 · outbound

This paper cites Borsa Istanbul Review , pages=.

Measuring Sentiment News with Transformer-Based Language Models Borsa Istanbul Review , pages=

Reference 34

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Observation 480d0bee-4304-408e-b6a6-0ffa06b672b8 · outbound

This paper cites International Conference on Computational Science , pages=.

Measuring Sentiment News with Transformer-Based Language Models International Conference on Computational Science , pages=

Reference 35

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Observation cb55ad37-2293-4a0c-910b-3176e89c8f91 · outbound

This paper cites a dynamic assessment , author=.

Measuring Sentiment News with Transformer-Based Language Models a dynamic assessment , author=

Reference 36

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Pith citing papers

No inbound Pith citation observations are available.