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Paper Citation Record · LEDGER

AtP*: An efficient and scalable method for localizing LLM behaviour to components

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2403.00745.

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

pith.paper-citation-record.v1
2403.00745 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:44:55.426570Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cb6c96a8-3327-4d2b-8554-8db5b559bc76 · inbound

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models cites this paper.

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 39

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metadata mismatch
arxiv_id, observed 2026-05-13T13:15:10.715282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-13T13:15:10.632115Z digest=sha256:86a7ec266747cd5e6a1eed72d75ebabb82d8676e8c59989d246cc95e97c01a4b

Observation a9fc4b30-04b2-4085-9193-6378f20f8b78 · inbound

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers cites this paper.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 20

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no resolver link, observed 2026-08-12T21:29:17.070133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:29:17.070133Z digest=sha256:5520adb29d78383c83d7da1b29df1dded7d5062fad9fe71ef5a29c6421fdf630

Observation 3476cbbb-24e0-4dfd-9492-ed5e5f5c9ffd · inbound

Disjoint Processing Mechanisms of Hierarchical and Linear Grammars in Large Language Models cites this paper.

Disjoint Processing Mechanisms of Hierarchical and Linear Grammars in Large Language Models AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 28

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no resolver link, observed 2026-08-10T20:26:42.874194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:42.874194Z digest=sha256:103752e723c9fa31055f6669e1e78954a54b29b37728449a14396f2bb88fe1e4

Observation 4dc3b048-ff07-46d0-b532-91eb721ae6a2 · inbound

Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition cites this paper.

Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 40

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no resolver link, observed 2026-08-10T14:55:02.076326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:55:02.076326Z digest=sha256:bcf098baa96a3eeaf5be734eb435b2362b45dfa54f7cfa3a7c4194114b8f5667

Observation 1feee041-aced-46ba-90f2-5eef86974bed · inbound

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning cites this paper.

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 62

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unresolved
no resolver link, observed 2026-08-09T17:58:34.935332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:58:34.935332Z digest=sha256:3662261fb36167f51e1043528f515f667dc70624fcc6839bf56e2b2cf248fec4

Observation 61541782-adb1-407b-872e-f46ea5afb7cc · inbound

Language Models Use Trigonometry to Do Addition cites this paper.

Language Models Use Trigonometry to Do Addition AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 17

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unresolved
no resolver link, observed 2026-08-09T17:29:00.164619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:29:00.164619Z digest=sha256:21e71c6f8ee681b0507251c3d42c71c3db7e7140a15b225f7f74098f039ea003

Observation 178e618b-1e7b-4d39-bdf7-12e5b6a543dc · inbound

Circuit Stability Characterizes Language Model Generalization cites this paper.

Circuit Stability Characterizes Language Model Generalization AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:38.272914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:38.272914Z digest=sha256:f7bacadcc3d8cf2c466e8c7250981268301ef5f827b6cabbe1e7a6bf533a9c7b

Observation 1215c80c-f397-4304-89cd-3a2e21d794a6 · inbound

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety cites this paper.

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 2022

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no resolver link, observed 2026-08-07T10:24:26.388763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:24:26.388763Z digest=sha256:a491bfbc500c56efcaa40483e0808673a3bac71e06efdbaf0001787e4b7898f7

Observation e4c63bfe-0596-4ab6-bba2-962ba17708a8 · inbound

Steering Conceptual Bias via Transformer Latent-Subspace Activation cites this paper.

Steering Conceptual Bias via Transformer Latent-Subspace Activation AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 9

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no resolver link, observed 2026-08-15T18:44:55.426570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.426570Z digest=sha256:76fc6754c754f8f582866b53c5faad37af8d73455a7273abd1c2deef5644c53a

Observation 730a5abb-3bfe-4ef2-9158-8b517b1b6833 · inbound

Stochastic Parameter Decomposition cites this paper.

Stochastic Parameter Decomposition AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 20

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no resolver link, observed 2026-08-06T22:48:37.292501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:37.292501Z digest=sha256:d6f03e46b54d5d1e75dbd6a43cf426b47b41b1378879e77cb0a99d764e468f52

Observation 985b5627-8aaa-47aa-9bd3-5ba6ef2d94fe · inbound

Can Interpretation Predict Behavior on Unseen Data? cites this paper.

Can Interpretation Predict Behavior on Unseen Data? AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 18

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unresolved
no resolver link, observed 2026-08-06T19:10:28.998137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:10:28.998137Z digest=sha256:4a4a995ebf6e79e3d1620d85805c1a8a3a4ed002c32bcb59406191188ae8cfde

Observation 75fe8a39-8c9d-4395-a5d8-e911148a90ba · inbound

From Indirect Object Identification to Syllogisms: Exploring Binary Mechanisms in Transformer Circuits cites this paper.

From Indirect Object Identification to Syllogisms: Exploring Binary Mechanisms in Transformer Circuits AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 15

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unresolved
no resolver link, observed 2026-08-05T17:37:55.128637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:37:55.128637Z digest=sha256:5467e0195d6365181f47062f77dee1353200549d86784da679d51d51992afc03

Observation 55e5023d-d217-4135-b3f4-dfb4296ce340 · inbound

Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMs cites this paper.

Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMs AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:46:09.779273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T17:57:23.282052Z digest=sha256:380f0c69d8100eecf1a77102b94f6973bad63286f4cbd731d95dd3927bf1c8ff

Observation b7172ed3-f045-4d23-963d-bba7affc696b · inbound

Weight Patching: Toward Source-Level Mechanistic Localization in LLMs cites this paper.

Weight Patching: Toward Source-Level Mechanistic Localization in LLMs AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 24

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metadata mismatch
arxiv_id, observed 2026-05-10T13:35:26.506038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T13:31:36.370422Z digest=sha256:0988da900bb062f30eb4e6345df74ccd8f6f91197f8fa73a28b916d662479523

Observation ef1a1761-b1f8-49dd-859b-44b974575a16 · inbound

Cell-Based Representation of Relational Binding in Language Models cites this paper.

Cell-Based Representation of Relational Binding in Language Models AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 44

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verified exact
arxiv_id, observed 2026-05-11T13:06:04.689930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T02:21:04.591556Z digest=sha256:0536609a4774ded938bf0849862b9e1dae698a9213765f86619842491cf7beee

Observation af8e2676-9e65-4045-80f5-1b3dee73b568 · inbound

Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure cites this paper.

Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 13

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verified exact
arxiv_id, observed 2026-05-12T03:21:19.001882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-12T03:18:06.199430Z digest=sha256:1acfe05a8c0da9b66d0a7fed25a3f7551a3ae639f42d5eee89a3cc070ce688fa

Observation 60b445b2-3634-42d4-8bd6-3db03aa0f56d · inbound

How LLMs Are Persuaded: A Few Attention Heads, Rerouted cites this paper.

How LLMs Are Persuaded: A Few Attention Heads, Rerouted AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 32

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arxiv_id, observed 2026-05-12T06:26:24.280719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-12T04:18:09.600353Z digest=sha256:04b6742f0073be343724569d886a13fc0f016cc217420e19fb17d40caf37f042

Observation 5a01933e-9258-4752-82aa-db9a0d792ccd · inbound

Not How Many, But Which: Parameter Placement in Low-Rank Adaptation cites this paper.

Not How Many, But Which: Parameter Placement in Low-Rank Adaptation AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 47

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metadata mismatch
arxiv_id, observed 2026-05-13T06:17:23.202341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T06:13:55.497799Z digest=sha256:1cd00c2d47979d9840da0bedb8c6b8e84826922e895d6e2f1f1e216f63a1a569

Observation ed325fa1-5b59-4798-bcc5-af82bdf3da05 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 12

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verified exact
arxiv_id, observed 2026-05-14T20:59:28.809227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-14T20:53:40.666929Z digest=sha256:e1cc1162430fb16ca67d3ec11c01fae1a22773f63ddbfb09fd09f8aa60387e0f

Observation 9b3f5625-0118-460a-a276-7614e5b53e05 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 12

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verified exact
arxiv_id, observed 2026-05-15T04:59:45.276290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-15T04:59:11.877068Z digest=sha256:4d47e502c904b52bdd632511f215db74f3bc3295ef08f9ada42d77071069e352

Observation 3b120abc-9cfa-44c0-b74b-86b5886ac5a6 · inbound

Polymorphism Is Rotation: Operational Mechanistic Interpretability from a Two-Layer Transformer to Pythia-70m cites this paper.

Polymorphism Is Rotation: Operational Mechanistic Interpretability from a Two-Layer Transformer to Pythia-70m AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 7

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verified exact
arxiv_id, observed 2026-06-30T14:14:45.528877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T14:10:42.640805Z digest=sha256:3ab3f9f230d60a5f2e52b4925cca9d9ed12953bf1076073666015e2a609cbe8a

Observation 4fbca113-87b9-49e8-b0ef-13689a794349 · inbound

Transformer Field Theory: A Response-Theoretic Approach to Mechanistic Interpretability cites this paper.

Transformer Field Theory: A Response-Theoretic Approach to Mechanistic Interpretability AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 15

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arxiv_id, observed 2026-06-30T12:04:38.232924Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:58:53.868902Z digest=sha256:b424451c89dcb6a3a17a640845869824c086a2a9e98590debfc31ebbe09d5209

Observation 20f6d7b7-97b2-4622-8e0b-86c688ee4fb0 · inbound

Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet cites this paper.

Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 44

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arxiv_id, observed 2026-06-29T07:53:13.422088Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T07:50:04.813379Z digest=sha256:03303a6851fc343a3d997f9d37963410e76a32a09e266b9d860982348a0bf025

Observation dfbe8c23-2036-40e9-bb70-a153aefae165 · inbound

Subliminal Learning is a LoRA Artifact cites this paper.

Subliminal Learning is a LoRA Artifact AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 27

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arxiv_id, observed 2026-06-28T20:42:37.588014Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T18:28:42.513733Z digest=sha256:3ea9a3c5e9cf3f8b99c546a37f4455ce5a5bd4665982a74e53d6e5f02ac6a16c

Observation 798b7c1b-5a32-4a70-8b18-838af695c2a5 · inbound

Many Circuits, One Mechanism: Input Variation and Evaluation Granularity in Circuit Discovery cites this paper.

Many Circuits, One Mechanism: Input Variation and Evaluation Granularity in Circuit Discovery AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 47

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arxiv_id, observed 2026-06-28T01:51:28.966057Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T01:48:12.958931Z digest=sha256:a8dd9cd3ff5a9b1c256bc3379254b285179225b78835c1487ec6ef4c0155ff3b

Observation 65472b2b-5d9b-42d9-890d-f62ae5d12c07 · inbound

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective cites this paper.

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 48

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arxiv_id, observed 2026-07-02T20:57:23.086842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T20:04:17.744876Z digest=sha256:55463ecb66b23da70c67a4f6cb8aad8eb0c6a902180794e29c497ac2b22a8906

Observation 2997d91a-32dc-4312-91a4-75a6063e6f3c · inbound

When Attribution Patching Lies: Diagnosis and a Second-Order Correction cites this paper.

When Attribution Patching Lies: Diagnosis and a Second-Order Correction AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 7

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arxiv_id, observed 2026-07-02T16:07:09.056752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T22:58:46.335785Z digest=sha256:62e79c2d083f0a23166df4e6d0bcbbfa5ee421ded33185b704aa8fb9338ef8fb

Observation a03226b5-68db-4d60-8ba7-6a5d3d399e43 · inbound

Localizing Anchoring Pathways in Language Models cites this paper.

Localizing Anchoring Pathways in Language Models AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 6

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arxiv_id, observed 2026-07-03T14:28:31.353144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:b3e3f826f6103ad10f947e4785868b5e3cd4b5c05c25d96211aa4e884fc17ff1

Observation 313d37f0-6013-4bd7-abb9-11a3ac5410bc · inbound

Beyond Importance: Interchange-Sobol Sensitivity Reveals Task-Specific Content Channels in Transformer Components cites this paper.

Beyond Importance: Interchange-Sobol Sensitivity Reveals Task-Specific Content Channels in Transformer Components AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 15

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arxiv_id, observed 2026-07-03T17:28:44.697122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T04:04:58.151452Z digest=sha256:597b3449a0b5ec94bb3b8f8eb6bc77f3a117b8391face1a935a524a6abce0c06

Observation cf7af405-a3e5-4ff6-b25e-517c8c9f69e7 · inbound

Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability cites this paper.

Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 16

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verified exact
local_arxiv, observed 2026-07-10T09:06:59.176399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T08:57:40.864338Z digest=sha256:0bafbe524a7473c819aeeb56b68f77bfc8446748ed14a7af5668ef43cd5763a4

Observation 92b12914-ff66-4388-b3c1-3292c675f2f1 · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 84

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no resolver link, observed 2026-08-01T23:15:27.600435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:15:27.600435Z digest=sha256:67e4b4c6201c063ca753a72f03310383ad9911fa352e470ea0120ef15c80ca99

Observation 529e8a8c-b88a-4f1f-ba12-4ab4cd46af65 · inbound

Circuit Claims Depend on What Is Extracted and How It Is Compared cites this paper.

Circuit Claims Depend on What Is Extracted and How It Is Compared AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 20

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no resolver link, observed 2026-08-01T14:03:18.016818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:03:18.016818Z digest=sha256:c1043c44af910201ee6e7addc2baac1677683e5936052d668dbd77072c89f05e

Observation 99ffb5c0-1972-4a93-9f01-27fb72ec9e53 · inbound

Control-Diverse Reinforcement Fine-Tuning: Decoupling the Shared Control Bottleneck of RL Post-Training cites this paper.

Control-Diverse Reinforcement Fine-Tuning: Decoupling the Shared Control Bottleneck of RL Post-Training AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 17

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no resolver link, observed 2026-08-12T00:23:26.696774Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:23:26.696774Z digest=sha256:a4c3a867a2d59f82e5053c26afe7511df98f11aa8b7e251c4fb8f5ef1c3c2b75

Observation 74cab79d-a110-4087-b37f-9a423274db9a · inbound

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability cites this paper.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 15

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no resolver link, observed 2026-08-14T04:21:09.465395Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T04:21:09.465395Z digest=sha256:56f0ee3d9114526e2be62bb728d08090eeba57f0f78d4b12d43ab947a2637926

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Where You Measure Decides What You Measure: Position Selection in Ablation-Based SAE Evaluation cites this paper.

Where You Measure Decides What You Measure: Position Selection in Ablation-Based SAE Evaluation AtP*: An efficient and scalable method for localizing LLM behaviour to components

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