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Paper Citation Record · LEDGER

Steering Conceptual Bias via Transformer Latent-Subspace Activation

As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2506.18887.

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

pith.paper-citation-record.v1
2506.18887 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:44:55.515108Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T12:39:57.398423Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T12:40:54.668613Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved18
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aec80db6-5743-43c8-9b08-120f0453c69e · outbound

This paper cites Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations

Reference 6

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no resolver link, observed 2026-08-15T18:44:55.408876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.408876Z digest=sha256:75ce72ad9a2c40868278b7792790fac85b513721b3d6692cdd584983a6c39c74

Observation c7851e1a-ffb4-4d3e-9b37-dada61562c6f · outbound

This paper cites Juhee Kim, Woohyuk Choi, and Byoungyoung Lee.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Juhee Kim, Woohyuk Choi, and Byoungyoung Lee

Reference 7

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unresolved
no resolver link, observed 2026-08-15T18:44:55.415219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.415219Z digest=sha256:d299f78a294954bd0750ebf447e9ed0ecf27270e8ea3f9d620425112b57c7d44

Observation 4d135000-4b79-4c9e-8c85-107d2324242e · outbound

This paper cites Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents

Reference 8

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no resolver link, observed 2026-08-15T18:44:55.421104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.421104Z digest=sha256:0fabf78554dbe467f25db60d791496ce1d4d9a7fe3aa3b11878e67d4ae66e799

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

This paper cites AtP*: An efficient and scalable method for localizing LLM behaviour to components.

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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unresolved
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:d6e32bdc8fabfc369a792cbe14674280a3960092dc78cfb4c38ed3b8d09b850b

Observation 107d23ea-3dec-4bc8-a1e4-425433cc1c93 · outbound

This paper cites AI Agents: Evolution, Architecture, and Real-World Applications.

Steering Conceptual Bias via Transformer Latent-Subspace Activation AI Agents: Evolution, Architecture, and Real-World Applications

Reference 10

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no resolver link, observed 2026-08-15T18:44:55.433224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.433224Z digest=sha256:755da98c7c3878d830a80f703ae6d377e750aa04e64cf89a7578e76fd3bc261e

Observation 6dee178b-85ac-478e-955b-838cd8d868c8 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Steering Conceptual Bias via Transformer Latent-Subspace Activation The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 11

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no resolver link, observed 2026-08-15T18:44:55.440084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.440084Z digest=sha256:8375b1cf6841cc47e3d20c7c07530615cad71eefe3632e88fcc4d4a2d2b6e3c2

Observation aa897a9f-2468-4c9e-94ac-e1f27dae4265 · outbound

This paper cites In-context Learning and Induction Heads.

Steering Conceptual Bias via Transformer Latent-Subspace Activation In-context Learning and Induction Heads

Reference 13

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no resolver link, observed 2026-08-15T18:44:55.451788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.451788Z digest=sha256:c5b5558a5c8c7b8fad518be0d2473fed39540609a61d1f19d9fa460426532efa

Observation 1fc564ae-71fd-44ff-b9d5-66472d7f3319 · outbound

This paper cites Steer LLM Latents for Hallucination Detection.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Steer LLM Latents for Hallucination Detection

Reference 14

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no resolver link, observed 2026-08-15T18:44:55.458608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.458608Z digest=sha256:e433a839f3c44ccdd4d4fa29a1926adfbe743a72beaba84cf45c2536cb2fc64e

Observation db09ebd7-c18a-44b4-a93c-10e58bb7ee78 · outbound

This paper cites Qwen2.5 Technical Report.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Qwen2.5 Technical Report

Reference 15

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no resolver link, observed 2026-08-15T18:44:55.465237Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.465237Z digest=sha256:0eb0608995cdb3792baca4eb461008c54144620223025ba2da5e26b3f7cf7ff3

Observation 87407910-964c-4ff2-b9d2-c5f78fe65594 · outbound

This paper cites doi: https://doi.org/10.1016/j.egyai.

Steering Conceptual Bias via Transformer Latent-Subspace Activation doi: https://doi.org/10.1016/j.egyai

Reference 16

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malformed identifier
no resolver link, observed 2026-08-15T18:44:55.471291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.471291Z digest=sha256:2124bbdc9d316cd9e2bc2aa455289a08a6bfed7567b665fe04a1eba02e9ba8d8

Observation 62608aba-38b9-4a91-be00-b35d6b6b2bf4 · outbound

This paper cites an unresolved cited work.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Unresolved cited work

Reference 17

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 81a4bd8c-9d1a-4368-aac1-e19dad5e1251 · outbound

This paper cites SciCode: A Research Coding Benchmark Curated by Scientists.

Steering Conceptual Bias via Transformer Latent-Subspace Activation SciCode: A Research Coding Benchmark Curated by Scientists

Reference 18

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no resolver link, observed 2026-08-15T18:44:55.482840Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.482840Z digest=sha256:b5e2033d6fffc298e3eac1366bb6f20250fcc7f7633ab95b8ccc63baf24c2c0f

Observation ebf76df3-03af-46ea-86c3-64cc89297d78 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 20

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unresolved
no resolver link, observed 2026-08-15T18:44:55.494356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.494356Z digest=sha256:1e01db245590da2648f83c8bfeb1ff760086d60a9e9fcf0fa1e82c2ee58fbca7

Observation 65f24b10-56a3-444e-b25d-8b3069cd7fec · outbound

This paper cites A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345, 2024a.

Steering Conceptual Bias via Transformer Latent-Subspace Activation A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345, 2024a

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:56.176337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:44:55.499483Z digest=sha256:4c4f3b2934f1410c5ea1f3fd5ada84bff900894a7ded6b832d84ade18d492516

Observation 8849860e-a0d5-4508-8efc-d0f570c81cb8 · outbound

This paper cites ISBN 9798400712746.

Steering Conceptual Bias via Transformer Latent-Subspace Activation ISBN 9798400712746

Reference 22

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unresolved
no resolver link, observed 2026-08-15T18:44:55.504427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.504427Z digest=sha256:c819cd835972f8c126ac753f5e2c83fbfa85768d4ec607f6a2821448a3184972

Observation ea66b4ae-f3d6-4097-ab73-6855d4c40dd5 · outbound

This paper cites Wei Jie Yeo, Rui Mao, Moloud Abdar, Erik Cambria, and Ranjan Satapathy.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Wei Jie Yeo, Rui Mao, Moloud Abdar, Erik Cambria, and Ranjan Satapathy

Reference 23

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unresolved
no resolver link, observed 2026-08-15T18:44:55.509432Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.509432Z digest=sha256:a8bc54244fce13bd06790c25d4ccbe97597f5e23707b8c0c0e8eaae9b208d23d

Observation a817efc7-3f1b-4e4f-bc6d-5aab5a73d4e2 · outbound

This paper cites Interpreting the Repeated Token Phenomenon in Large Language Models.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Interpreting the Repeated Token Phenomenon in Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:55.515108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.515108Z digest=sha256:f8a76dcafe7a0d7ca01e3a1c20460e213b659ffc21b61893fa1f5e65df3a57f3

Observation fd2ab8d3-467b-407f-9c8b-554b43564c89 · outbound

This paper cites ISBN 9780898716245.

Steering Conceptual Bias via Transformer Latent-Subspace Activation ISBN 9780898716245

Reference 2007

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:56.246984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:44:55.379219Z digest=sha256:5623953ede2f4957e39e2c2c0827c11cac27ddf43d5c495c4ff7b410d0e6c1eb

Observation e5150d87-9cd6-4f3b-919d-e6ff7541ea2a · outbound

This paper cites Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:56.194675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:44:55.488519Z digest=sha256:0f118f8686265b4c9f17b5ea7e006946d28547861fc31daf4f0701a02540f152

Observation 552b65a4-cad3-41c8-b57a-73cc6bd9f3e8 · outbound

This paper cites Plug and Play Language Models: A Simple Approach to Controlled Text Generation.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Reference 2021

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unresolved
no resolver link, observed 2026-08-15T18:44:55.385114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.385114Z digest=sha256:3562efd3e7feaa766f9265482f6ddabe60a3566a20cdcffe73726f20c4b2ec6b

Observation 97f920df-0002-4c34-9034-79877c4556d7 · outbound

This paper cites Shanghua Gao, Ada Fang, Yepeng Huang, Valentina Giunchiglia, Ayush Noori, Jonathan Richard Schwarz, Yasha Ektefaie, Jovana Kondic, and Marinka Zitnik.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Shanghua Gao, Ada Fang, Yepeng Huang, Valentina Giunchiglia, Ayush Noori, Jonathan Richard Schwarz, Yasha Ektefaie, Jovana Kondic, and Marinka Zitnik

Reference 2022

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verified fuzzy
raw_fallback, observed 2026-08-15T18:44:56.229372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:44:55.397246Z digest=sha256:74a1011f133049e6c69600da69c8850da08c48fed857e8564fb1e10b8e018041

Observation 6045d1cf-13c2-4fb2-9ceb-82ba3af6dd60 · outbound

This paper cites From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs.

Steering Conceptual Bias via Transformer Latent-Subspace Activation From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs

Reference 2023

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metadata mismatch
local_arxiv, observed 2026-08-15T18:44:55.943946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:44:55.446254Z digest=sha256:b3bef8992db17a41218b79d4a06948035fda5423c816ef111e239a4bc2cad01d

Observation b5731125-5eaf-40d3-b944-040e61a8a79b · outbound

This paper cites The Llama 3 Herd of Models.

Steering Conceptual Bias via Transformer Latent-Subspace Activation The Llama 3 Herd of Models

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.402743Z digest=sha256:8c423974c87d1572eeefbfd20fe06b917d3a991b55ad7544d16bc794dfbd726a

Observation 3e387ea4-eb72-4cc5-9931-40d0cff0ecb5 · outbound

This paper cites Flash Interpretability: Decoding Specialised Feature Neurons in Large Language Models with the LM-Head.

Steering Conceptual Bias via Transformer Latent-Subspace Activation Flash Interpretability: Decoding Specialised Feature Neurons in Large Language Models with the LM-Head

Reference 2025

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source=pdf_text observed=2026-08-15T18:44:55.391452Z digest=sha256:a42cea05c4ed5e6d1e4084cd3e555abcb26ec1c57194fd12ddd904a7d284a2f6

Pith citing papers

Observation e4c32925-3884-4045-8ef4-cbbbea534dcf · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models Steering Conceptual Bias via Transformer Latent-Subspace Activation

Reference 269

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verified exact
arxiv_id, observed 2026-05-16T12:40:54.670569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T12:39:57.398423Z digest=sha256:69f977d1fbfedbd3ba3898cb4a9d0850c47094708b2f7dfa8c35a9f68e307eae