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Paper Citation Record · LEDGER

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2608.05732.

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

pith.paper-citation-record.v1
2608.05732 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:27:20.711916Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

30 of 30 outbound references displayed

  • verified exact4
  • verified fuzzy8
  • unresolved17
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b535e402-ff1a-4dda-89a1-40f69c733872 · outbound

This paper cites TimingLLM: A Two-Stage Retrieval-Augmented Framework for Pre-Synthesis Timing Prediction from Verilog.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits TimingLLM: A Two-Stage Retrieval-Augmented Framework for Pre-Synthesis Timing Prediction from Verilog

Reference 1

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verified exact
local_arxiv, observed 2026-08-08T00:27:21.355820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.581901Z digest=sha256:63923967716ae304ec738fe53de3d8f50c276a1a2dcd44133648c44cf90d1ea9

Observation 9b536974-91e1-4c3d-af0f-ceaaaf4e967a · outbound

This paper cites From filters to vlms: Benchmarking defogging methods through object detection and segmentation performance.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits From filters to vlms: Benchmarking defogging methods through object detection and segmentation performance

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.592039Z digest=sha256:f95253959c1d709944313b124ae162c60bad75a73325f4a7a3fd1bf8c00445cc

Observation 3eb44e83-a47b-4f08-8c85-16a4fbf1aca4 · outbound

This paper cites Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman

Reference 5

Resolution
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raw_fallback, observed 2026-08-08T00:27:21.465221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.601117Z digest=sha256:ea11c0cef01df41828463022926cfccdf891566b86c9dc81e77fb1267f653d28

Observation 61727589-ef11-4ecc-8a84-e072c9bee875 · outbound

This paper cites 11 Preprint.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits 11 Preprint

Reference 9

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raw_fallback, observed 2026-08-08T00:27:21.450113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.618269Z digest=sha256:af353a284eb0119b63a0cc5af2065f827f7dd64905cd0f8ca1d10dc7c846d6ec

Observation 3514fb1f-aea8-4d23-b3e5-feeb37ee9dc9 · outbound

This paper cites Yeganeh Gharedaghi, Gene Cheung, and Xianming Liu.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Yeganeh Gharedaghi, Gene Cheung, and Xianming Liu

Reference 11

Resolution
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raw_fallback, observed 2026-08-08T00:27:21.417562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.626343Z digest=sha256:da186555d54b8703526ac852f2d18f60593c2db1bbfe47d09da4d2604421a4eb

Observation b156fe9e-27fe-4ff7-9755-bda232fe6b1a · outbound

This paper cites Can MLLMs Critique Like Humans? Evaluating Open-Ended Aesthetic Reasoning in Multimodal Large Language Models.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Can MLLMs Critique Like Humans? Evaluating Open-Ended Aesthetic Reasoning in Multimodal Large Language Models

Reference 13

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verified exact
local_arxiv, observed 2026-08-08T00:27:21.210380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.636449Z digest=sha256:cc04011132fc72a16cbe1bf83bb326b37a2287cd41ad18afd9b3362738aa9951

Observation d1e33a87-9cd3-45f0-917e-d94a2e3cd43a · outbound

This paper cites Editing Models with Task Arithmetic.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Editing Models with Task Arithmetic

Reference 15

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source=pdf_text observed=2026-08-08T00:27:20.645450Z digest=sha256:ec8a97d0700618e078a0dd2e14f3ebac1fa3601135bbd36f143ecf32f8fd1657

Observation 40ecd621-f89c-4ab6-a348-dc792ccb1ce0 · outbound

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

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.654112Z digest=sha256:19c1aec9763714ad97dc8be8f8077c80dda01916a54dff6c3e58239166ade1a0

Observation 4d9058c6-53b9-41a7-8321-9576e7987c40 · outbound

This paper cites https://distill.pub/2020/circuits/zoom-in.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits https://distill.pub/2020/circuits/zoom-in

Reference 18

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source=pdf_text observed=2026-08-08T00:27:20.658586Z digest=sha256:40750af12509dd1641ebff3c0dc017e74a9439721b6d0c66108cfc1a3ab9f6ac

Observation e5047e1f-d6a4-47ad-9ba8-5bcc259907ba · outbound

This paper cites Steering Llama 2 via Contrastive Activation Addition.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Steering Llama 2 via Contrastive Activation Addition

Reference 19

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source=pdf_text observed=2026-08-08T00:27:20.662913Z digest=sha256:b438520a18febe3fad31e155a1a1a3b2548f762b0b045304a0028654ee35d450

Observation d7488b4b-9cbc-4b8c-bced-6c1ed3c649d7 · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.667547Z digest=sha256:7d517abe4ccb3825697996fb10a9ca265b59cbb904e9b5b354b8138abc90e50f

Observation f946e167-5852-44ea-8110-dd1b141889ba · outbound

This paper cites Carer: Contextualized affect representations for emotion recognition.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Carer: Contextualized affect representations for emotion recognition

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:27:21.371306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.671882Z digest=sha256:82a8272b3abff07586c8479eb1f45f87abe404dc5b5b5aff497c8d7096878fc9

Observation a08c1515-64f2-4d38-a8ca-aa432a8e5ab1 · outbound

This paper cites Analyzing the Generalization and Reliability of Steering Vectors.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Analyzing the Generalization and Reliability of Steering Vectors

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.680426Z digest=sha256:5b539db66ea34d1cde26baf78c04e3dff53bdccb3735aa12ba5b6b134757580a

Observation 25926855-2719-438c-8d7d-0422bee59c3b · outbound

This paper cites Steering Language Models With Activation Engineering.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Steering Language Models With Activation Engineering

Reference 24

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no resolver link, observed 2026-08-08T00:27:20.684924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.684924Z digest=sha256:78eb1e50967d0b4b8e5429723e1512b60b04467b0d1e3a6e53ff4026c7b72c08

Observation 78d5a3ba-777e-4afa-8514-fadaa22d5a54 · outbound

This paper cites Improving llm reasoning through interpretable role-playing steering.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Improving llm reasoning through interpretable role-playing steering

Reference 25

Resolution
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no resolver link, observed 2026-08-08T00:27:20.689324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.689324Z digest=sha256:138d26fa56091a6fbba1c3508401529bfd6ea340edb0d8eb55553cb6d74e6658

Observation 3475df19-ffae-4b17-bd90-c996c685666c · outbound

This paper cites Exploring Representations and Interventions in Time Series Foundation Models.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Exploring Representations and Interventions in Time Series Foundation Models

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-08T00:27:20.935797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.693310Z digest=sha256:60b8c8a4e30ddbcc989100e6e82ded223ab8797ecda01f2c6c691fb1fa83dc56

Observation a213ecd2-a884-42bd-b5d3-28fc826bb813 · outbound

This paper cites Small Graph Is All You Need: DeepStateGNN for Scalable Traffic Forecasting.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Small Graph Is All You Need: DeepStateGNN for Scalable Traffic Forecasting

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-08T00:27:20.915648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.697763Z digest=sha256:27228b831ee65e458672f7ae5ce6b917dab246da5d1e023b49f4b1ea079bb1fd

Observation 52a1fa14-295f-46b4-87ae-5d6cc4258b0b · outbound

This paper cites AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.702277Z digest=sha256:e2c60f6b3c01482feefb476a509cc030707aa0c8182628e36e53eb77cc317646

Observation 5a8ab306-7b2c-48a2-a590-6335fef8d3f3 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Representation Engineering: A Top-Down Approach to AI Transparency

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.706892Z digest=sha256:5d5001eab5e061292574a14a677a6efedf69713b6fe217e5d1b9ab2f3c478762

Observation e9156fcb-3e1c-425b-9ba3-2c41759ef241 · outbound

This paper cites an unresolved cited work.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Unresolved cited work

Reference 30

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malformed identifier
raw_fallback, observed 2026-08-08T00:27:20.866539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.711916Z digest=sha256:c59f3666fff787e4c8c472c3f53baaaa9d2016021feb6a7210cffaa9f307d97b

Observation 53a568da-df97-4dcb-9474-1d6673b14a2e · outbound

This paper cites Morfi: Mutimodal zero-shot reasoning for financial time-series inference.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Morfi: Mutimodal zero-shot reasoning for financial time-series inference

Reference 2016

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.649971Z digest=sha256:174e4df7c6506caf14e7a7f615536a6b4e9124c63e926fda9e413bd4134ca727

Observation 1fd754f7-ee90-46f5-b71a-52cc017cb058 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Training Verifiers to Solve Math Word Problems

Reference 2017

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source=pdf_text observed=2026-08-08T00:27:20.605167Z digest=sha256:03e39e642ffcdb7a833662d64bec68a78497d1321604f8624eb3ae4e48265b77

Observation dfe7eafc-00ba-47fa-b02d-1cee1d2a08ee · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Towards Understanding Sycophancy in Language Models

Reference 2018

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no resolver link, observed 2026-08-08T00:27:20.675970Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.675970Z digest=sha256:1b1fde5125b79477cdf018c4c0991d165e6b460a4d65754fcfdd1b306b2560b8

Observation 3bb8db86-9435-402d-8a95-97b20dfe8a37 · outbound

This paper cites Zeqing He, Zhibo Wang, Huiyu Xu, Hejun Lin, Wenhui Zhang, and Zhixuan Chu.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Zeqing He, Zhibo Wang, Huiyu Xu, Hejun Lin, Wenhui Zhang, and Zhixuan Chu

Reference 2020

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no resolver link, observed 2026-08-08T00:27:20.641179Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.641179Z digest=sha256:e6ee65e8f97855e534933bfb3ad16f08b17caf25dd7332c6a5640221e5ca0839

Observation 087969bd-718c-45aa-8fe6-002246152429 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 2021

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.609402Z digest=sha256:3dfe26fcaa33d37fbc302a4182409b3f035e403db4e968d17687ecb09d1ebe8b

Observation b7d48831-18fc-4573-9c0b-77f23315d8d0 · outbound

This paper cites Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, and Noah A.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, and Noah A

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:27:21.433709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.622078Z digest=sha256:62a3d6f6e7ae1313790a161b598a35b9b14745207e23f2634d73d17cc154e91d

Observation fd527c71-7e81-4b05-bf13-a78b471b3451 · outbound

This paper cites Decentralized low-rank fine-tuning of large language models.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Decentralized low-rank fine-tuning of large language models

Reference 2023

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verified fuzzy
raw_fallback, observed 2026-08-08T00:27:21.402111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.631240Z digest=sha256:3034f7b03ddadbb842e49748ed1cb26d8f2f7d7de529ec70e29f473ed50f0355

Observation 671a0396-3c2c-4416-8da4-ef5e8bcd633b · outbound

This paper cites Dana Arad, Aaron Mueller, and Yonatan Belinkov.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Dana Arad, Aaron Mueller, and Yonatan Belinkov

Reference 2024

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verified fuzzy
raw_fallback, observed 2026-08-08T00:27:21.480160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T00:27:20.587430Z digest=sha256:9400c80650fd4088d00e56f7010204eacb429ac538ab4803e83269019fe1b18c

Observation 9ff3d4b2-f965-42c1-93db-2b9f4151f862 · outbound

This paper cites Mechanistic Permutability: Match Features Across Layers.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Mechanistic Permutability: Match Features Across Layers

Reference 2025

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.596737Z digest=sha256:c49fff5e28c6cf711743a479fd55c2d19f6adcc287799a9222d4a188423c3309

Observation 9c090586-9d6d-40a9-8e5f-4c2cd5e1a7ac · outbound

This paper cites Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models.

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models

Reference 2026

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:27:20.613693Z digest=sha256:6ed5d19ac151d98f40ddc3e38bf393ffa7d822957c5e19d9973d6107655d0b5e

Pith citing papers

No inbound Pith citation observations are available.