Paper Citation Record · LEDGER

Specific versus General Principles for Constitutional AI

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.13798.

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

pith.paper-citation-record.v1
2310.13798 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:21.447285Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T11:39:46.795076Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ab34cd8f-01b3-4285-9e0d-15babfffb56a · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Specific versus General Principles for Constitutional AI

Reference 170

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:17:08.538279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 211d32bb-4dbe-4dda-a7c1-c4f77be5fff0 · inbound

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It cites this paper.

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It Specific versus General Principles for Constitutional AI

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:21.447285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc70811b-48cf-4137-a1d0-86592b471e26 · inbound

ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data cites this paper.

ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data Specific versus General Principles for Constitutional AI

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:56:10.956513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 39c71528-464f-4688-8ac5-6362d891b7a1 · inbound

Emergent alignment and the projectability of ethical personas cites this paper.

Emergent alignment and the projectability of ethical personas Specific versus General Principles for Constitutional AI

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:47:31.785596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e9e9298a-54d8-4d3c-9d8a-d009725caea1 · inbound

Reinforcement Learning Towards Broadly and Persistently Beneficial Models cites this paper.

Reinforcement Learning Towards Broadly and Persistently Beneficial Models Specific versus General Principles for Constitutional AI

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T11:39:46.796602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d7d4a21-436a-4bf3-8860-432fa5f475d6 · inbound

LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior cites this paper.

LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior Specific versus General Principles for Constitutional AI

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.323835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.