Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T08:55:51.609828Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2605.21726.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T08:55:51.609828Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T01:52:02.393126Z
A source-named dated measurement, never combined with another source.
Source: cited_works
36 of 36 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0e4477e6-94b2-4d1d-8202-47a8da617962 · outbound
Probabilistic Attribution For Large Language Models The Curious Case of Neural Text Degeneration
Reference 1
Source-reported events for the cited work
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Observation fb5235d8-6632-4df1-8942-e0cd45282d1e · outbound
Probabilistic Attribution For Large Language Models Jonathon Phillips and Carina Hahn and Peter Fontana and Amy Yates and Kristen K
Reference 2
Source-reported events for the cited work
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Observation ffdff913-6ab8-4988-a819-727ab011d2d8 · outbound
Probabilistic Attribution For Large Language Models Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Reference 3
Source-reported events for the cited work
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Observation db8504e5-444d-4e39-b674-64937fab38d7 · outbound
Probabilistic Attribution For Large Language Models Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Reference 4
Source-reported events for the cited work
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Probabilistic Attribution For Large Language Models 2020 , eprint=
Reference 5
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Observation 34f0009e-5267-4373-8dc6-971c75a0c731 · outbound
Probabilistic Attribution For Large Language Models Unresolved cited work
Reference 6
Source-reported events for the cited work
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Probabilistic Attribution For Large Language Models 1988 , address =
Reference 7
Source-reported events for the cited work
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Probabilistic Attribution For Large Language Models 1995 , publisher=
Reference 8
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Probabilistic Attribution For Large Language Models Unresolved cited work
Reference 9
Source-reported events for the cited work
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Observation a032ab16-dacc-4b32-91b5-2d8ffd766730 · outbound
Probabilistic Attribution For Large Language Models 2019 , eprint=
Reference 10
Source-reported events for the cited work
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Probabilistic Attribution For Large Language Models Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov
Reference 11
Source-reported events for the cited work
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Observation a84b8b49-9a4b-4e27-a111-a5161cae3bd8 · outbound
Probabilistic Attribution For Large Language Models The LAMBADA dataset: Word prediction requiring a broad discourse context
Reference 12
Source-reported events for the cited work
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Observation 443a2cef-d6d2-4f12-8b58-1e9573bc0836 · outbound
Probabilistic Attribution For Large Language Models A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Reference 13
Source-reported events for the cited work
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Observation 9dfe444d-b5b6-4d96-ba86-a9b17cddf4c5 · outbound
Reference 14
Source-reported events for the cited work
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Observation 8bd1a83e-9298-42c3-9acf-afd6616be27c · outbound
Probabilistic Attribution For Large Language Models Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
Reference 15
Source-reported events for the cited work
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Observation b5515a31-db2b-4d5d-9823-12a094a0bbf8 · outbound
Probabilistic Attribution For Large Language Models doi:10.5281/zenodo.5297715 , url =
Reference 16
Source-reported events for the cited work
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Observation d0924e86-8168-4621-aee4-342c6cb0ce9f · outbound
Probabilistic Attribution For Large Language Models The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Reference 17
Source-reported events for the cited work
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Observation cb002631-bc45-4585-b430-ae85c9b5b4cc · outbound
Probabilistic Attribution For Large Language Models OpenAI blog , volume=
Reference 18
Source-reported events for the cited work
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Observation 92fc6ddb-7a15-43d6-a67a-93ded954c666 · outbound
Probabilistic Attribution For Large Language Models HellaSwag: Can a Machine Really Finish Your Sentence?
Reference 19
Source-reported events for the cited work
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Observation f68cc414-fbc5-4f61-92eb-00ae6dbab984 · outbound
Probabilistic Attribution For Large Language Models Inseq: An Interpretability Toolkit for Sequence Generation Models
Reference 20
Source-reported events for the cited work
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Observation 9e5bb3ee-3535-4fda-aeaf-d0efb8d5e86c · outbound
Probabilistic Attribution For Large Language Models and Ravikumar, Pradeep , title =
Reference 21
Source-reported events for the cited work
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Observation db66389e-d79f-4e9e-a1f9-0e29d4edcfe7 · outbound
Probabilistic Attribution For Large Language Models and Ruotsalo, Tuukka and Maal e, Lars and Maistro, Maria
Reference 22
Source-reported events for the cited work
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Observation b1052940-1c60-4154-a1e4-bb52fcfd358e · outbound
Probabilistic Attribution For Large Language Models Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =
Reference 23
Source-reported events for the cited work
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Probabilistic Attribution For Large Language Models Lundberg and Su-In Lee , title =
Reference 24
Source-reported events for the cited work
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Observation 007f9789-33e0-4e57-8ea9-bffb5e9b5526 · outbound
Probabilistic Attribution For Large Language Models Proceedings of the 34th International Conference on Machine Learning , series =
Reference 25
Source-reported events for the cited work
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Observation a03e27aa-c8aa-4a6b-ac1c-f1cfc9274eb9 · outbound
Probabilistic Attribution For Large Language Models 2020 , eprint =
Reference 26
Source-reported events for the cited work
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Probabilistic Attribution For Large Language Models Wallace , title =
Reference 27
Source-reported events for the cited work
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Observation 05d5ef4a-58c6-4739-96e1-0ed5adc87194 · outbound
Probabilistic Attribution For Large Language Models Wallace , title =
Reference 28
Source-reported events for the cited work
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Observation 04e218a0-aef4-4be5-8ef5-bd7f57e2f776 · outbound
Probabilistic Attribution For Large Language Models Unresolved cited work
Reference 29
Source-reported events for the cited work
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Observation a0cd73f4-8332-45d1-81ab-b44820f2cb00 · outbound
Probabilistic Attribution For Large Language Models A Primer in BERT ology: What We Know About How BERT Works
Reference 30
Source-reported events for the cited work
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Probabilistic Attribution For Large Language Models 2021 , howpublished =
Reference 31
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Probabilistic Attribution For Large Language Models ArXiv , year=
Reference 32
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Probabilistic Attribution For Large Language Models Proceedings of the 34th International Conference on Machine Learning - Volume 70 , pages =
Reference 33
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Probabilistic Attribution For Large Language Models Why Should I Trust You?
Reference 34
Source-reported events for the cited work
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Probabilistic Attribution For Large Language Models and Fergus, Rob
Reference 35
Source-reported events for the cited work
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Observation a4f42c74-02e7-4639-804f-f39ae945c573 · outbound
Probabilistic Attribution For Large Language Models 2024 , eprint=
Reference 36
Source-reported events for the cited work
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Observation 35c04bb7-a48e-4f65-b89a-eb4165b2b3d0 · inbound
CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization Probabilistic Attribution For Large Language Models
Reference 25
Source-reported events for the cited work
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