Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2305.03047.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-19T20:28:38.900026Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T20:28:39.343804Z
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 697eb039-6409-4c1f-9779-dfc3180ed4c7 · inbound
Self-Refine: Iterative Refinement with Self-Feedback Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2da9fe4a-93f7-4670-9612-6f7243aa63e8 · inbound
WizardLM: Empowering large pre-trained language models to follow complex instructions Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1c588287-7ba3-4e03-ab57-4cbfb878ed15 · inbound
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Reference 256
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6a1334bf-470b-4abc-8039-803db9ab18bd · inbound
Large Language Models are not Fair Evaluators Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 37449b19-5bf3-498a-936b-eb9c7b7eb71e · inbound
Jailbroken: How Does LLM Safety Training Fail? Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e6a6b58d-e777-4124-8dec-ad135f754bac · inbound
A Comprehensive Overview of Large Language Models Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Reference 98
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 98fb852f-b97f-47e6-9a5f-3787f39e3f69 · inbound
Aligning Large Multimodal Models with Factually Augmented RLHF Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation acfc37cf-3f99-4513-8f9b-83439727bb6b · inbound
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c9b0aad9-9dd6-45c0-ade3-e73ac5a1394c · inbound
TrustLLM: Trustworthiness in Large Language Models Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2f35774d-e124-4c04-aaae-60f6d114ef7e · inbound
Large Language Models: A Survey Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Reference 105
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1d529ca8-ed5a-49c7-a837-ea0459261015 · inbound
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 036cc452-28e6-44e6-b711-31884c4e142b · inbound
STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.