Paper Citation Record · LEDGER

The Geometry of Categorical and Hierarchical Concepts in Large Language Models

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2406.01506.

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

pith.paper-citation-record.v1
2406.01506 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:46:20.547582Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

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 79d03d3c-0a76-41eb-8af5-84d843ac42f4 · inbound

The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models cites this paper.

The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.774505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a9abcfed-b6c1-457c-8716-c8c3deb1577c · inbound

SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness cites this paper.

SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:26.906433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d1375fc5-860f-451e-a791-2a90c4bab913 · inbound

Semantic Structure of Feature Space in Large Language Models cites this paper.

Semantic Structure of Feature Space in Large Language Models The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:41:26.844814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e0384cd3-fbbb-48bd-b1f8-db9057a6f105 · inbound

H-Probes: Extracting Hierarchical Structures From Latent Representations of Language Models cites this paper.

H-Probes: Extracting Hierarchical Structures From Latent Representations of Language Models The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:28.828053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 12ed19dd-02bc-4ee9-b349-a8d5b3873fae · inbound

A framework for analyzing concept representations in neural models cites this paper.

A framework for analyzing concept representations in neural models The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 148

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:18:59.126836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1db35b5b-eb15-4b17-814f-5442144a559f · inbound

SLAM: Structural Linguistic Activation Marking for Language Models cites this paper.

SLAM: Structural Linguistic Activation Marking for Language Models The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:21:06.925729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b81bd08b-7f03-499c-804e-9f0137b4407b · inbound

The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models cites this paper.

The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:11:08.952014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c2cc8c22-7df3-492c-83e6-ca6d44185f43 · inbound

Uncovering and Shaping the Latent Representation of 3D Scene Topology in Vision-Language Models cites this paper.

Uncovering and Shaping the Latent Representation of 3D Scene Topology in Vision-Language Models The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:00:54.996003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4b03a297-701c-458f-ac5f-ae92a2e06b29 · inbound

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders cites this paper.

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:15:54.254404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b7425f65-12fb-4cee-9e70-df21484787da · inbound

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders cites this paper.

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:16:25.529260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4174ef3c-dbdf-4e2b-8fdb-6f65d8f1a4f1 · inbound

Inference-Time Machine Unlearning via Gated Activation Redirection cites this paper.

Inference-Time Machine Unlearning via Gated Activation Redirection The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:27.285001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 439c74f3-b53a-4c32-a941-7292f564ab6c · inbound

Inference-Time Machine Unlearning via Gated Activation Redirection cites this paper.

Inference-Time Machine Unlearning via Gated Activation Redirection The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:59:06.002228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 284f8995-6f66-4bf0-b014-99ad876cad72 · inbound

Scale Determines Whether Language Models Organize Representation Geometry for Prediction cites this paper.

Scale Determines Whether Language Models Organize Representation Geometry for Prediction The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T15:33:25.682395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 22e13090-c5ac-4129-a502-43f77856188d · inbound

Uncovering the Latent Potential of Deep Intermediate Representations cites this paper.

Uncovering the Latent Potential of Deep Intermediate Representations The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:39.267035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3b77c860-d72d-4d56-a9de-9f88115ae955 · inbound

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability cites this paper.

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T02:11:29.046107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4ec09c95-6e48-4407-a40f-a82ca433e5fe · inbound

Closure-Validated Circuit Discovery in Attention Heads: Co-activation Proposes, Ablation Disposes cites this paper.

Closure-Validated Circuit Discovery in Attention Heads: Co-activation Proposes, Ablation Disposes The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:17:29.338559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c8f9a5c4-f11b-424a-b482-927d3561047b · inbound

A Navigable Manifold of Hypothesized Consciousness-Spectrum States in Language Model Representations cites this paper.

A Navigable Manifold of Hypothesized Consciousness-Spectrum States in Language Model Representations The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:54.965790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 86f23740-d773-4cd1-a920-2763c3d068b3 · inbound

Size Doesn't Matter: Cosine-Scored Sparse Autoencoders cites this paper.

Size Doesn't Matter: Cosine-Scored Sparse Autoencoders The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T07:15:29.615060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e1d8100b-5f8f-4db8-a84d-b9e57775962d · inbound

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier cites this paper.

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:48.272558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a8195921-8c48-412a-9400-c7948313300f · inbound

Structuring Sparsity: Block-Sparse Featurizers Capture Visual Concept Manifolds cites this paper.

Structuring Sparsity: Block-Sparse Featurizers Capture Visual Concept Manifolds The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:09:58.966413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9c70fb15-4fa5-4b3e-80d2-434c26cbdddc · inbound

Riemannian Geometry for Pre-trained Language Model Embeddings cites this paper.

Riemannian Geometry for Pre-trained Language Model Embeddings The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-09T21:16:34.223200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fe0fa536-efc1-47cb-93b3-95c739fa632e · inbound

How are linear representations learned? Exact solutions to the dynamics of abstraction cites this paper.

How are linear representations learned? Exact solutions to the dynamics of abstraction The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T06:19:30.027337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4d2ae1-4554-48ea-9f4c-18488785de19 · inbound

Neural Collapse Is Forbidden: Information Floors in Language Models cites this paper.

Neural Collapse Is Forbidden: Information Floors in Language Models The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T02:42:05.577201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82254f13-4d99-47ab-a386-a505d361cedd · inbound

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

Emergent Misalignment Recruits a Pre-existing Persona Subspace The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 182

Resolution: unresolved; no resolver link, observed 2026-08-01T07:46:20.547582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 972beb41-e74f-4a09-91df-9ed9246fb1c6 · inbound

Context Is King: How In-Context Specification Shapes the Geometry of Concepts cites this paper.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.818181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.