Paper Citation Record · LEDGER

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains

As of 24 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2507.09676.

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

pith.paper-citation-record.v1
2507.09676 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:41.387003Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

11 of 11 outbound references displayed

verified exact0
verified fuzzy8
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1c0f516-74bc-4ddc-ae86-2fa3f4578158 · outbound

This paper cites What if Dario Amodei Is Right About A.I.?.

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains What if Dario Amodei Is Right About A.I.?

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:41.500594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77005de3-2e0e-4abd-83c3-449f8ba7eb72 · outbound

This paper cites 17532 Queloz, M.

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains 17532 Queloz, M

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:41.456034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a88e8b00-323c-44cb-9d9d-b342065d4e41 · outbound

This paper cites Leibniz and the Concept of a System.

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains Leibniz and the Concept of a System

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:41.447069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f37790a0-cc50-41d3-80aa-98cb46692fc6 · outbound

This paper cites LLMs are Not Just Next Token Predictors.

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains LLMs are Not Just Next Token Predictors

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:41.483092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 153ba0cd-95f4-4068-814d-6ead12106db2 · outbound

This paper cites Le concept de système de Leibniz à Condillac.

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains Le concept de système de Leibniz à Condillac

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:41.438057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 65585eb0-e734-4461-9b0e-8011e40ca9c7 · outbound

This paper cites Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks.

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:41.473868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3b28a3be-bb5d-4acc-9aa4-2d33f71d1061 · outbound

This paper cites Emergent Abilities of Large Language Models.

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains Emergent Abilities of Large Language Models

Reference 1972

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:41.387003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce496c37-544d-420f-a0e6-4a358cbe55a6 · outbound

This paper cites A general language assistant as a laboratory for alignment.

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains A general language assistant as a laboratory for alignment

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:41.491639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cba06544-d46a-4ef2-be64-fe44f8c7bf39 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains Constitutional AI: Harmlessness from AI Feedback

Reference 2112

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:41.358149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a78882e9-a44b-4923-86d4-716f8e680b69 · outbound

This paper cites Does ChatGPT Have a Mind?.

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains Does ChatGPT Have a Mind?

Reference 2408

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:41.367620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a121b7a-14c5-4044-ba00-405bd8f620dc · outbound

This paper cites Value Pluralism.

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains Value Pluralism

Reference 2410

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:41.464741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.