Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T19:24:12.405031Z
Paper Citation Record · LEDGER
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers
As of 22 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2503.17365.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
14 of 14 outbound references displayed
- verified exact0
- verified fuzzy1
- unresolved12
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 07374187-56c8-4512-b556-47a48dc0a9e6 · outbound
This paper cites Gemma Team, Morgane Riviere, Shreya Pathak, Pier Giuseppe Sessa, Cassidy Hardin, Surya Bhu- patiraju, L´eonard Hussenot, Thomas Mesnard, Bobak Shahriari, Alexandre Ram ´e, et al.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers Gemma Team, Morgane Riviere, Shreya Pathak, Pier Giuseppe Sessa, Cassidy Hardin, Surya Bhu- patiraju, L´eonard Hussenot, Thomas Mesnard, Bobak Shahriari, Alexandre Ram ´e, et al
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:12.359600Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a95aa74-8c4e-4a33-b24b-6d07470e6815 · outbound
This paper cites Gemma 2: Improving Open Language Models at a Practical Size.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers Gemma 2: Improving Open Language Models at a Practical Size
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:12.363813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac42992f-c7e1-4734-8d8e-ef55ffab1d23 · outbound
This paper cites The Llama 3 Herd of Models.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers The Llama 3 Herd of Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:12.368929Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9aa3dfc6-d5c4-4a5c-8cb8-6ebccb2b7020 · outbound
This paper cites tinyBenchmarks: evaluating LLMs with fewer examples.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers tinyBenchmarks: evaluating LLMs with fewer examples
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:12.386778Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5ee9c7c-cfa0-4f20-8719-bde762f36638 · outbound
This paper cites Qwen2.5 Technical Report.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers Qwen2.5 Technical Report
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:12.391046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b353e2b-e070-4a16-860a-ec0b2ebac3a2 · outbound
This paper cites SafetyBench: Evaluating the Safety of Large Language Models.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers SafetyBench: Evaluating the Safety of Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:12.395417Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 711b403d-bb5c-4e30-91c3-bd9f83beae71 · outbound
This paper cites (2024) (tiny) for diverse reasoning tasks, and the ”Commonsense Moral- ity” subset of the ETHICS benchmark (Hendrycks et al.,.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers (2024) (tiny) for diverse reasoning tasks, and the ”Commonsense Moral- ity” subset of the ETHICS benchmark (Hendrycks et al.,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T19:24:12.720720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0cc4a25c-ef81-4669-9f46-11d02cdd52f0 · outbound
This paper cites an unresolved cited work.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers Unresolved cited work
Reference 14
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-09T19:24:12.707592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 44675e94-1f49-49d6-a87d-90cd8b036299 · outbound
This paper cites an unresolved cited work.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T19:24:12.734768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7be6b1f7-0880-43a7-bc15-f56badbd7587 · outbound
This paper cites Measuring Massive Multitask Language Understanding.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers Measuring Massive Multitask Language Understanding
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:12.373633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47aae774-366a-4729-8395-c7e5719da5eb · outbound
This paper cites Constitutional AI: Harmlessness from AI Feedback.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers Constitutional AI: Harmlessness from AI Feedback
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:12.350970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8366da46-bc32-4239-9c17-1941daa3af77 · outbound
This paper cites Aligning AI With Shared Human Values.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers Aligning AI With Shared Human Values
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:12.378178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2892d7ea-daca-46b5-9cfd-5138fac31048 · outbound
This paper cites Refusal in Language Models Is Mediated by a Single Direction.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers Refusal in Language Models Is Mediated by a Single Direction
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:12.345966Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 309b751c-5c75-46c7-b583-7c60bcdb6130 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:12.355296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.