Pith. sign in

Paper Citation Record · LEDGER

Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2310.06301.

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

pith.paper-citation-record.v1
2310.06301 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:47:46.971971Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8a5d7461-2838-426d-b23e-2c1ad0461ef1 · inbound

SAFR: Neuron Redistribution for Interpretability cites this paper.

SAFR: Neuron Redistribution for Interpretability Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T16:14:11.720825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:14:11.720825Z digest=sha256:4117776333ccb839ee18dde32354157b88b9517606e8b0066fb2f4355e5ba5ae

Observation e380227f-6a6b-4851-9171-a23503c83bae · inbound

Structure Development in List-Sorting Transformers cites this paper.

Structure Development in List-Sorting Transformers Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T23:32:04.058243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:32:04.058243Z digest=sha256:1280296ddaf23fd47f294be98d486bbbad26500989e12f8f7ea4af0a9c859271

Observation a8c31a6f-90d8-48f6-a381-02565baab2f7 · inbound

Grokking vs. Learning: Same Features, Different Encodings cites this paper.

Grokking vs. Learning: Same Features, Different Encodings Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T14:44:27.006690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:44:27.006690Z digest=sha256:27e05d661f6dfa7dda8313d4c8ab6d1e2a001325d59b34e1f60c4b45ae84c99a

Observation f113b307-da21-4ff4-83f3-fefed5878395 · inbound

You Are What You Eat -- AI Alignment Requires Understanding How Data Shapes Structure and Generalisation cites this paper.

You Are What You Eat -- AI Alignment Requires Understanding How Data Shapes Structure and Generalisation Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:54.764300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:15:54.764300Z digest=sha256:68b15c4efe8db177bf5461ebee7bfc061b99bda89ee000fd50f5a3e7e9fc69ad

Observation baffe498-a4df-475a-94e3-9658ca4ba200 · inbound

Influence Dynamics and Stagewise Data Attribution cites this paper.

Influence Dynamics and Stagewise Data Attribution Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T10:05:12.769326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:05:12.769326Z digest=sha256:cac2ab4b1dadf9578b258eac3d30d0cf5aa845ae9926e0200b63eb0dd570f010

Observation 6de97c6e-9cb9-4fad-8ca2-ee899bd0b8d6 · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 261

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:17:54.877682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:11a08c475ecc7f441e20f81e3093aeb3c8dd58d0836e41027737bc3770abd8d2

Observation ff10e85e-fd02-4e89-bce0-050538dccba0 · inbound

Structure and Scale in Simplicial Sequence Modelling cites this paper.

Structure and Scale in Simplicial Sequence Modelling Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T21:16:14.950232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T17:13:00.475488Z digest=sha256:af6f9ec6175ea445d1de3f9698a27987459b97add00eb188ace925ee7667767e

Observation f6ee4f7e-dcdc-4589-b4b0-e9e5897c35d1 · inbound

Dead Directions: Geometric Singular Learning cites this paper.

Dead Directions: Geometric Singular Learning Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:36:55.211766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T03:20:09.365073Z digest=sha256:5b0eed26bf3b12b7032dbeda9d7c55f132517b6089134a5015d8be4329e4ab76

Observation f1e2cf64-894c-4fce-a4b8-1e031f700c04 · inbound

Discovering Millions of Interpretable Features with Sparse Autoencoders cites this paper.

Discovering Millions of Interpretable Features with Sparse Autoencoders Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:59:53.073814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-26T05:34:00.754172Z digest=sha256:5044202ccee5bce6a7140b01851b9216f8862f6e4b9b360db6d99a571c5ddad8

Observation 5562e1f8-4890-4e9c-bef1-007067024ac0 · inbound

Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization cites this paper.

Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T05:21:30.575288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:21:30.575288Z digest=sha256:59e0cc23d8e0a1dd93f2f7e93bb7e388dfdadcc298764b5c9436bc4347813c31

Observation ef1e06b3-2472-40cf-a4b5-d094a7eea508 · inbound

Spectral-LSH: Sub-Quadratic Prompt Compression via Krylov-Projected Locality-Sensitive Hashing cites this paper.

Spectral-LSH: Sub-Quadratic Prompt Compression via Krylov-Projected Locality-Sensitive Hashing Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T11:37:07.137742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:37:07.137742Z digest=sha256:69267021f569054a179a6c1549cd4ee73ff2087b044de95e34ca04c6d53f5d56

Observation e4e331b9-c7a3-44bf-b315-d2adef593281 · inbound

Emergent Misalignment Recruits a Pre-existing Persona Subspace cites this paper.

Emergent Misalignment Recruits a Pre-existing Persona Subspace Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-01T07:46:08.232412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:46:08.232412Z digest=sha256:ad19c27c9d535b6d5a5c74569a071213781b6b8a929865081e0eec57098b0e68

Observation 34baa9ee-12af-434e-a05f-e37b29c4cf83 · inbound

The Kinetics of Training: A Driven-Nucleation Rate Law for Emergence, Plasticity Loss, and Circuit Control in Language Models cites this paper.

The Kinetics of Training: A Driven-Nucleation Rate Law for Emergence, Plasticity Loss, and Circuit Control in Language Models Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T10:34:41.288794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:34:41.288794Z digest=sha256:c6b57da058701a06d7434c706cc071bf295293e6292ca67d72e4f0e9a0856eb5

Observation 52cf14de-21e7-40af-a713-1a5873401d45 · inbound

Langevin dynamics along the zero set of real-analytic potentials cites this paper.

Langevin dynamics along the zero set of real-analytic potentials Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T05:47:46.971971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:47:46.971971Z digest=sha256:e7aa943109d829021b65d58910bca098f98b4972aa3a3e9d3251757f5f1764ba