Paper Citation Record · LEDGER

A Stochastic Dynamical Theory of LLM Self-Adversariality: Modeling Severity Drift as a Critical Process

As of 14 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2501.16783.

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

pith.paper-citation-record.v1
2501.16783 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:48:57.549233Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:26:16.320711Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:26:16.859457Z

Reference resolution

5 of 5 outbound references displayed

verified exact0
verified fuzzy2
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d561fae1-1706-4b43-9087-3e44f73bc71c · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

A Stochastic Dynamical Theory of LLM Self-Adversariality: Modeling Severity Drift as a Critical Process Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T10:48:57.529266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 410f63ea-3266-4102-9f59-c0909d226c9d · outbound

This paper cites an unresolved cited work.

A Stochastic Dynamical Theory of LLM Self-Adversariality: Modeling Severity Drift as a Critical Process Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T10:48:57.658288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e05419f0-b8bf-479b-afa3-3d058123c068 · outbound

This paper cites The F okker–Planck Equation: Methods of Solution and Applic ations.

A Stochastic Dynamical Theory of LLM Self-Adversariality: Modeling Severity Drift as a Critical Process The F okker–Planck Equation: Methods of Solution and Applic ations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:48:57.642560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c0d9e915-326b-4889-b120-64b6422170a3 · outbound

This paper cites Universality classes in nonequilibrium lattice systems.

A Stochastic Dynamical Theory of LLM Self-Adversariality: Modeling Severity Drift as a Critical Process Universality classes in nonequilibrium lattice systems

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:48:57.626185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c91b05c6-abba-4878-90f4-2e3d798c49e8 · outbound

This paper cites On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning.

A Stochastic Dynamical Theory of LLM Self-Adversariality: Modeling Severity Drift as a Critical Process On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T10:48:57.549233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b57710eb-bc47-4542-82c9-8ed1197c9616 · inbound

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective cites this paper.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective A Stochastic Dynamical Theory of LLM Self-Adversariality: Modeling Severity Drift as a Critical Process

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:26:16.865569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.