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Paper Citation Record · LEDGER

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.04430.

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

pith.paper-citation-record.v1
2607.04430 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T19:15:37.565998Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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 fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78fa06ad-f7d8-4473-ab26-46d12b84b9c3 · outbound

This paper cites IEEE Signal Processing Magazine42(6), 51–63 (2026).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees IEEE Signal Processing Magazine42(6), 51–63 (2026)

Reference 1

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Observation 1827cf9f-058c-455a-8020-7aeef9be1845 · outbound

This paper cites ACM Transactions on Software Engineering and Methodology35(2), 1–72 (2026).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees ACM Transactions on Software Engineering and Methodology35(2), 1–72 (2026)

Reference 2

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Observation 9282476a-fede-49d0-8d2b-8119ecf5550d · outbound

This paper cites Scientific Reports16(1), 5357 (2026).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Scientific Reports16(1), 5357 (2026)

Reference 3

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Observation 66f2d9d5-ad6b-4827-882e-f6058e2834db · outbound

This paper cites Automotive Innovation, 1–21 (2026).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Automotive Innovation, 1–21 (2026)

Reference 4

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Observation 42e1bec7-f119-4b11-9ff2-ac5091a11c5a · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Unresolved cited work

Reference 5

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Observation d0ce6949-108e-4a84-97c4-aaed8f480323 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Unresolved cited work

Reference 6

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Observation a3f7de07-6fb1-46c2-bc80-5a0a23c9d4e3 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Unresolved cited work

Reference 7

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Observation aa410fee-30c2-4d63-a8f0-cb2c1a452ae1 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Unresolved cited work

Reference 8

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Observation e014c9e9-49c5-4a2e-855c-190acac38f89 · outbound

This paper cites Backdoor Cleaning without External Guidance in MLLM Fine-tuning.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Backdoor Cleaning without External Guidance in MLLM Fine-tuning

Reference 9

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Observation 4ad872f6-2839-415e-90e0-d25427415cf3 · outbound

This paper cites arXiv preprint arXiv:2506.14766 (2025).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees arXiv preprint arXiv:2506.14766 (2025)

Reference 10

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Observation 23994e86-a894-438e-81bb-d1419525d60f · outbound

This paper cites In: Che, W., Nabende, J., Shutova, E., Pilehvar, M.T.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: Che, W., Nabende, J., Shutova, E., Pilehvar, M.T

Reference 11

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Observation 03240570-be54-43da-ba3a-019c84877074 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Unresolved cited work

Reference 12

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Observation bb6c815f-d548-411b-ae76-222fac96fe87 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Unresolved cited work

Reference 13

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Observation c8cfd350-6eb3-49b3-a908-a60863b5627d · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Unresolved cited work

Reference 14

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Observation 72b3b01f-9928-469f-b770-d65348ea2d74 · outbound

This paper cites SPOT! Revisiting Video-Language Models for Event Understanding.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees SPOT! Revisiting Video-Language Models for Event Understanding

Reference 15

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Observation d09a5102-f45a-47af-9815-eb13f1429583 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Unresolved cited work

Reference 16

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Observation 54e4a1e5-28cf-46bf-a4a0-a22658bffdec · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Unresolved cited work

Reference 17

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Observation 7cba9bfe-253f-4618-9eb6-8ebc50fe9ab6 · outbound

This paper cites Artificial intelligence review56, 1513–1589 (2023).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Artificial intelligence review56, 1513–1589 (2023)

Reference 18

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Observation 23cdf087-2ea4-437b-8bc1-589bbdbeed01 · outbound

This paper cites In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp

Reference 19

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Observation 6c8c55c0-2566-4cba-9619-2a3727aea6f9 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: The Eleventh International Conference on Learning Representations (2023)

Reference 20

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Observation 331276bc-e136-4343-ab00-9910a111c55a · outbound

This paper cites Engineering Applications of Artificial Intelligence139, 109553 (2025).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Engineering Applications of Artificial Intelligence139, 109553 (2025)

Reference 21

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Observation f3680fec-dbd8-442e-9096-985d9234cb13 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2024, pp.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: Findings of the Association for Computational Linguistics: EMNLP 2024, pp

Reference 22

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Observation db6c83fc-301c-4377-8777-fe471e2b1d08 · outbound

This paper cites Advances in Neural Information Processing Systems37, 73884–73919 (2024).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Advances in Neural Information Processing Systems37, 73884–73919 (2024)

Reference 23

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Observation ce5b4891-e0c6-4ca1-b99d-17bf5065dbbd · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence40(40), 33764–33772 (2026).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Proceedings of the AAAI Conference on Artificial Intelligence40(40), 33764–33772 (2026)

Reference 24

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Observation d5fba390-da7c-46ba-9e99-1eb3f0940279 · outbound

This paper cites LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems

Reference 25

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Observation 70213baf-cc5b-42a2-8df1-3b7d71cfe0fb · outbound

This paper cites In: International Conference on Learning Representations (2021).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: International Conference on Learning Representations (2021)

Reference 26

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Observation e2cf0e47-debc-4080-822f-cfe118c1d630 · outbound

This paper cites Foundations and Trends in Machine Learning16(4), 494–591 (2023).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Foundations and Trends in Machine Learning16(4), 494–591 (2023)

Reference 27

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Observation 600864b4-3563-407f-94dc-392f03ad01c7 · outbound

This paper cites Theoretical Foundations of Conformal Prediction.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Theoretical Foundations of Conformal Prediction

Reference 28

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Observation 7df8fb54-cf84-4a39-a8a2-975b1ff26c3f · outbound

This paper cites In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp

Reference 29

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Observation 7de79fb7-aa11-4f45-8517-acb21e4b5eed · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (2025).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: The Thirteenth International Conference on Learning Representations (2025)

Reference 30

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Observation bb140cdf-c8e5-4c5c-9325-1d25ff35a78a · outbound

This paper cites arXiv preprint arXiv:2603.22966 (2026).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees arXiv preprint arXiv:2603.22966 (2026)

Reference 31

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Observation 2d2961cb-91fe-4259-8021-3be88e55e06f · outbound

This paper cites Biometrika26(4), 404–413 (1934).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Biometrika26(4), 404–413 (1934)

Reference 32

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Observation 3b563ab0-594b-4822-93fa-d2e28893670b · outbound

This paper cites arXiv preprint arXiv:2510.17897 (2025).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees arXiv preprint arXiv:2510.17897 (2025)

Reference 33

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Observation 5b924b0f-0597-47d5-9249-6b65cc0c1bfb · outbound

This paper cites Transactions of the Association for Computational Linguistics12, 1497–1516 (2024).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Transactions of the Association for Computational Linguistics12, 1497–1516 (2024)

Reference 34

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Observation a6af3e37-26a0-4848-8277-fc0b0f3dbf81 · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2024).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: The Twelfth International Conference on Learning Representations (2024)

Reference 35

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Observation 54c867a1-07be-45a2-b322-3645d34b7bd5 · outbound

This paper cites In: Proceedings of the 41st International Conference on Machine Learning, pp.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: Proceedings of the 41st International Conference on Machine Learning, pp

Reference 36

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Observation f7bb0639-de63-48f5-b7aa-602aca0ea36e · outbound

This paper cites BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation

Reference 37

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Observation 2424cd12-3538-4b3a-8009-e037adea5f82 · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (2025).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: The Thirteenth International Conference on Learning Representations (2025)

Reference 38

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Observation a2bd75d3-b861-4433-bc6f-d5f052ce6f46 · outbound

This paper cites Qwen Technical Report.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Qwen Technical Report

Reference 39

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Observation 06c4fc88-9a81-4cef-95d8-eb08dea5a9d5 · outbound

This paper cites In: International Conference on Learning Representations, vol.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: International Conference on Learning Representations, vol

Reference 40

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Observation 4b40bb3b-4652-4150-8733-7e3758bb5697 · outbound

This paper cites Advances in neural information processing systems36, 46595–46623 (2023).

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees Advances in neural information processing systems36, 46595–46623 (2023)

Reference 41

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Observation 4bfffbfd-07e6-455c-94fe-cfe861ab557a · outbound

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

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees LLaMA: Open and Efficient Foundation Language Models

Reference 42

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Observation 9b70d7a0-e691-4999-9d5f-095b471b48e5 · outbound

This paper cites In: Burstein, J., Doran, C., Solorio, T.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: Burstein, J., Doran, C., Solorio, T

Reference 43

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Observation c3fe160c-56cb-4af0-8c7d-3c9ba3c8e44f · outbound

This paper cites In: Barzilay, R., Kan, M.-Y.

Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees In: Barzilay, R., Kan, M.-Y

Reference 44

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Pith citing papers

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