Paper Citation Record · LEDGER

Context Is King: How In-Context Specification Shapes the Geometry of Concepts

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.24425.

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

pith.paper-citation-record.v1
2607.24425 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T15:17:59.847483Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy0
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e55b349b-7e40-4162-85b1-1b21935881e3 · outbound

This paper cites Refusal in Language Models Is Mediated by a Single Direction.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Refusal in Language Models Is Mediated by a Single Direction

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.738045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3de6f50f-ff6e-46c8-b492-148fa1cb0b0f · outbound

This paper cites Horseshoes in multidimensional scaling and local kernel methods.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Horseshoes in multidimensional scaling and local kernel methods

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.753037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8745369-857f-4ab6-a43c-aa1d5c0e5e66 · outbound

This paper cites How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.757652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdca373a-c120-4616-91e0-89efb0207b7a · outbound

This paper cites Improving Activation Steering in Language Models with Mean-Centring.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Improving Activation Steering in Language Models with Mean-Centring

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.762871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a3f5526-5723-479d-8b4d-11cf29b6fca5 · outbound

This paper cites and Kriegeskorte, N.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts and Kriegeskorte, N

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.767586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d7c549-c1af-4174-8daf-28aea85cb066 · outbound

This paper cites Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.771968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5e874e5-8fb3-4fe0-9415-af59f4f32906 · outbound

This paper cites Not All Language Model Features Are One-Dimensionally Linear.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Not All Language Model Features Are One-Dimensionally Linear

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.776360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902c7ff8-637c-40fd-bfc3-4e0038f090e4 · outbound

This paper cites Language Models Represent Space and Time.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Language Models Represent Space and Time

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.780773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6e09136-21a1-43be-bafe-7efa956d10ee · outbound

This paper cites and Mur, M.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts and Mur, M

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.785674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f737cf3-b2a9-4932-820d-74bb42614918 · outbound

This paper cites and Hopkins, A.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts and Hopkins, A

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.791012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a6d6875-51e3-4a78-9d3a-41d3be8820f7 · outbound

This paper cites Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.794923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2868f20a-8595-4f4e-ab15-d942e42a85f2 · outbound

This paper cites Language Models Struggle to Use Representations Learned In-Context.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Language Models Struggle to Use Representations Learned In-Context

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.799894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81b4bda5-d4f1-4e0e-8622-ff0cf6d52793 · outbound

This paper cites Locating and Editing Factual Associations in GPT.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Locating and Editing Factual Associations in GPT

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.804566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a66ec76f-6e1e-4d73-b0b1-5f9605e8ca97 · outbound

This paper cites Emergent Linear Representations in World Models of Self-Supervised Sequence Models.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.808955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d93e54b-1075-4f79-b895-bd09716d3342 · outbound

This paper cites ICLR: In-Context Learning of Representations.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts ICLR: In-Context Learning of Representations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.813238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites The Geometry of Categorical and Hierarchical Concepts in Large Language Models.

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.

Observation 2d042e78-0ca6-475b-9426-ca49e1fb66c1 · outbound

This paper cites Are Emergent Abilities of Large Language Models a Mirage?.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Are Emergent Abilities of Large Language Models a Mirage?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.822805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c59eeab2-f687-4210-9efd-a5b1dcf27229 · outbound

This paper cites , title =.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts , title =

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.827357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aa09211-cfca-4f9c-94a0-ae42607cd514 · outbound

This paper cites Emergent Abilities of Large Language Models.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Emergent Abilities of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.831327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8d5d38b-3d0e-49ef-a24d-37a380b93e04 · outbound

This paper cites Large language models reorganize representational geometry during in-context learning.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Large language models reorganize representational geometry during in-context learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.835527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10f10435-ceac-40c2-b5e3-903bd29e4e91 · outbound

This paper cites an unresolved cited work.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.839570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99e364db-053f-4fe7-94bf-aa8170fa973f · outbound

This paper cites , title =.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts , title =

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.843607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3cd6772-415b-4638-9af7-bb678f92c7ab · outbound

This paper cites and Morozov, D.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts and Morozov, D

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.847483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.