Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 inbound Pith citation observations for arXiv:2302.07459.
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
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:24:59.539102Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T21:36:34.279815Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 149d118c-5cdb-4547-b1bb-da70e3050926 · inbound
Language Models can Solve Computer Tasks The Capacity for Moral Self-Correction in Large Language Models
Reference 20
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Observation 07864920-420d-4a91-83b8-9b9fcc771be8 · inbound
Teaching Large Language Models to Self-Debug The Capacity for Moral Self-Correction in Large Language Models
Reference 91
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Observation 0b9cd473-741f-43d5-97be-ca4f9c6a8e13 · inbound
A Comprehensive Overview of Large Language Models The Capacity for Moral Self-Correction in Large Language Models
Reference 176
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Observation 0ae7da65-0ca0-476e-b3f9-c8ebc989590e · inbound
Cognitive Architectures for Language Agents The Capacity for Moral Self-Correction in Large Language Models
Reference 24
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Observation 74654157-bd1a-4329-bf0f-bdbc71872afc · inbound
Large Language Models as Optimizers The Capacity for Moral Self-Correction in Large Language Models
Reference 9
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Observation 1c830fb9-5ae1-4ecd-b80d-22d042172d50 · inbound
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Reference 6
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Observation ca8d4468-837a-4cf2-9522-c86a72686373 · inbound
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Reference 17
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Observation d2c72841-ded1-483c-8ec5-bda52fefa590 · inbound
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code The Capacity for Moral Self-Correction in Large Language Models
Reference 149
Source-reported events for the cited work
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Observation d94a8a51-2420-4ff4-85fa-80d1531e32e6 · inbound
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models The Capacity for Moral Self-Correction in Large Language Models
Reference 256
Source-reported events for the cited work
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Observation 6dedd3d2-c6c3-436a-84b4-af3b8e919535 · inbound
Large Language Models Can Self-Improve in Long-context Reasoning The Capacity for Moral Self-Correction in Large Language Models
Reference 30
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Observation e3e7b37d-073b-4f93-b286-7d73d84a736d · inbound
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Reference 5
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Observation 53314db9-ef6e-4ce6-a33e-593c3817681b · inbound
Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure The Capacity for Moral Self-Correction in Large Language Models
Reference 6
Source-reported events for the cited work
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Observation c5cb5273-24f3-43b9-a98e-2e78ea4f55eb · inbound
Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection The Capacity for Moral Self-Correction in Large Language Models
Reference 17
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Observation 63bb554f-d214-4413-ba0e-1629fc133caf · inbound
Foundations of Large Language Models The Capacity for Moral Self-Correction in Large Language Models
Reference 79
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Observation 6bfb490b-80d9-430e-b81b-1cc57021624d · inbound
Examining Alignment of Large Language Models through Representative Heuristics: The Case of Political Stereotypes The Capacity for Moral Self-Correction in Large Language Models
Reference 17
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Observation baeecbd7-6222-423c-bd54-a7e288f10e8e · inbound
Data-adaptive Safety Rules for Training Reward Models The Capacity for Moral Self-Correction in Large Language Models
Reference 9
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Observation 1968ce0f-9a1e-4384-9168-7da50c9e8cd4 · inbound
A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment The Capacity for Moral Self-Correction in Large Language Models
Reference 28
Source-reported events for the cited work
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Observation f59dbf2d-9322-421d-8f5e-178568ba72be · inbound
Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs The Capacity for Moral Self-Correction in Large Language Models
Reference 26
Source-reported events for the cited work
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Observation f108862d-1a37-4cfa-b9ec-9a2212584ec8 · inbound
Reflection-Window Decoding: Text Generation with Selective Refinement The Capacity for Moral Self-Correction in Large Language Models
Reference 11
Source-reported events for the cited work
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Observation 751caf8e-eca2-4170-a6ff-ec9796f26cff · inbound
Breaking Down Bias: On The Limits of Generalizable Pruning Strategies The Capacity for Moral Self-Correction in Large Language Models
Reference 19
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Observation c2069a82-2f6f-4986-be4f-79441d1df4e4 · inbound
Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models The Capacity for Moral Self-Correction in Large Language Models
Reference 9
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Observation d3187f13-3880-49ea-99b9-117e8c96b578 · inbound
Bias Analysis and Mitigation through Protected Attribute Detection and Regard Classification The Capacity for Moral Self-Correction in Large Language Models
Reference 13
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Observation 24701a4b-1fc4-4550-8d2d-63eb5f9e0848 · inbound
Should AI Mimic People? Understanding AI-Supported Writing Technology Among Black Users The Capacity for Moral Self-Correction in Large Language Models
Reference 35
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Observation c3ce01d4-a0f0-4d49-a4aa-9f545825b134 · inbound
LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models The Capacity for Moral Self-Correction in Large Language Models
Reference 15
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Observation 05c7c6da-0367-4364-b4a3-b20339ca4ae7 · inbound
Improving LLM Outputs Against Jailbreak Attacks with Expert Model Integration The Capacity for Moral Self-Correction in Large Language Models
Reference 35
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Observation ab20ae17-7b33-41a4-928d-0cf1c23a9f40 · inbound
When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas The Capacity for Moral Self-Correction in Large Language Models
Reference 13
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Observation 18762a2e-951c-4066-9112-e4e92f5fba79 · inbound
Whispers of Many Shores: Cultural Alignment through Collaborative Cultural Expertise The Capacity for Moral Self-Correction in Large Language Models
Reference 16
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Observation dc0fda96-a79d-41d2-bd94-0566c47ef569 · inbound
Exchange of Perspective Prompting Enhances Reasoning in Large Language Models The Capacity for Moral Self-Correction in Large Language Models
Reference 7
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Observation fbc44730-4ea4-41bd-a0b0-7518f62f13e3 · inbound
Internal Value Alignment in Large Language Models through Controlled Value Vector Activation The Capacity for Moral Self-Correction in Large Language Models
Reference 14
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Observation 3bb6d37e-5fe3-4eee-ba19-fa80475479ff · inbound
SC-Captioner: Improving Image Captioning with Self-Correction by Reinforcement Learning The Capacity for Moral Self-Correction in Large Language Models
Reference 10
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Observation 4fc69028-ca24-4e2e-83a6-e60b34a39393 · inbound
Beyond I'm Sorry, I Can't: Dissecting Large Language Model Refusal The Capacity for Moral Self-Correction in Large Language Models
Reference 16
Source-reported events for the cited work
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Observation 385a94ea-d6f0-4069-9fd8-4d2e082ba3ae · inbound
HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling The Capacity for Moral Self-Correction in Large Language Models
Reference 8
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Observation 1ccaa8a8-8275-4c93-aa2e-deb37ffaf330 · inbound
We Think, Therefore We Align LLMs to Helpful, Harmless and Honest Before They Go Wrong The Capacity for Moral Self-Correction in Large Language Models
Reference 8
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Observation 3ec12e0e-4a7a-47ca-b2f7-5dc1d3b5640a · inbound
BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models The Capacity for Moral Self-Correction in Large Language Models
Reference 12
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Observation d3811577-9d12-46b6-968d-3619ed56349d · inbound
DeFrame: Debiasing Large Language Models Against Framing Effects The Capacity for Moral Self-Correction in Large Language Models
Reference 21
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Observation a52956e5-0878-45f6-8f99-ea0da6d9d165 · inbound
Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability The Capacity for Moral Self-Correction in Large Language Models
Reference 3
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Observation a19b7205-130e-4674-9cc6-f64ec74858fc · inbound
Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability The Capacity for Moral Self-Correction in Large Language Models
Reference 3
Source-reported events for the cited work
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Observation c8076c4f-ce26-41d5-bac1-be6708a8e662 · inbound
Internal vs. External: Comparing Deliberation and Evolution for Multi-Agent Constitutional Design The Capacity for Moral Self-Correction in Large Language Models
Reference 22
Source-reported events for the cited work
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Observation f9ce0d48-ad37-45aa-b0c0-aa6602207968 · inbound
Conformity Generates Collective Misalignment in AI Agents Societies The Capacity for Moral Self-Correction in Large Language Models
Reference 4
Source-reported events for the cited work
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Observation 12806caf-14dc-4bc1-8de8-add97f3c4b96 · inbound
Online Data Selection Is Implicit Alignment The Capacity for Moral Self-Correction in Large Language Models
Reference 20
Source-reported events for the cited work
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Observation 34db6765-7a34-49b8-8f82-bebcc6bf6aad · inbound
The Missing Layer: Specification Infrastructure for AI Oversight The Capacity for Moral Self-Correction in Large Language Models
Reference 8
Source-reported events for the cited work
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Observation 11c5cfd8-6d5f-40e7-af5b-ef6cfff3b8ba · inbound
Dual-Adversarial Safety Alignment: Cultivating Intrinsic Threat Comprehension in LRMs The Capacity for Moral Self-Correction in Large Language Models
Reference 9
Source-reported events for the cited work
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Observation 569f83e2-ef03-44a3-a815-8a60bc49cf49 · inbound
Rules or Character? Scaling Laws for AI Safety Design The Capacity for Moral Self-Correction in Large Language Models
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.