Pith. sign in

Paper Citation Record · LEDGER

Steering Conceptual Bias via Transformer Latent-Subspace Activation

As of 22 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 2026-08-22T06:32:14.747728+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

Resolution
unresolved
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:e5d5e95a8bc3676ffdbb299b58196160b951b36d2939dae02f88f644e49c64e5

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

Resolution
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=sha256:46e75b8e170934224512eb3b2984992d66f3f4555cf3953a57e79b4b7a5b367f

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

Resolution
unresolved
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=sha256:884474b4a7f6bcff8aa67392af99fe4be737fac4352e3496c62965f86a545d1c

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

Resolution
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=sha256:76fc6754c754f8f582866b53c5faad37af8d73455a7273abd1c2deef5644c53a

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

Resolution
unresolved
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=sha256:4d6c787a09e4dd45ac15739ec90cf1cce25c7aa0b35102eff6397c91cca715cc

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

Resolution
unresolved
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=sha256:5e4a984a6358a68b2fec90c1799483013026fa44e0f28096fcb0e5c721d130b4

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

Resolution
unresolved
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=sha256:5d9a2e3f069f5d77357ef637c48bdfe4e80df7f4363aa781413edf65c0957394

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

Resolution
unresolved
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=sha256:74e30d7028b8378683d80422a4d8429d56d4506f054bfcbec354dbc9275ba521

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.465237Z digest=sha256:0814a9d963629e2c6b925dc3d044d0a120ee29b2576d7e0ee707a8961ecf2e4e

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

Resolution
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:b61fa86a46c6fb122f077921004dc4c877c93c4f1b5c5e525a92d3427b147d95

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

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:44:56.211560Z

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=2026-08-15T18:44:55.477524Z digest=sha256:3444915f76a0164c2d1a47db6d0085ea5e1719fb5690834567f3f1bddadf7ed1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.482840Z digest=sha256:ae578e178fa60bef7b4adbbb7637f86428217f596fe16baa7e4bd797c0cd2336

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

Resolution
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=sha256:6abfa934236fda753d1604f050bd7961c82ab3b953561a729aeb88079c7d192d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:44:55.499483Z digest=sha256:ddcc042920094fef7d17149e3469d644372a6594e424500d48183e42293f8848

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

This paper cites ISBN 9798400712746.

Steering Conceptual Bias via Transformer Latent-Subspace Activation ISBN 9798400712746

Reference 22

Resolution
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:cd429ec02593ca5848220fbc4577cc679eb91e8b1df4d768c36ee0b6e1fcc325

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.509432Z digest=sha256:49dfe0a4ceaf6ecd06e6faa95e8137359525176fc193c157b42114ed7d49b248

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=sha256:42062432fb3667226ea360db701197522eaadf2a5ffffc5d59158edc09c7d7cd

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:44:55.379219Z digest=sha256:7afbf7bd9dc499a195e23784c0356214e0323dbf368bb2bf5d01d4a3a7e5e09c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:44:55.488519Z digest=sha256:efaf87e0b3a1f46e981dccec84af4f62d5b4ab9c39338a8b03f5141566e683bb

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

Resolution
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=sha256:480e7717acd6f3f881658943ead960a736d853f256a61ce444cc97def67a6a7c

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:44:55.397246Z digest=sha256:853cfc49b40d9556d3e0867e895045f64caf7d13ba0fe902f3872ea385c98214

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:44:55.446254Z digest=sha256:bd06f6cbd899b8147a026480b5fdb658b8865e719e80b4c20b90ba19ff3cea68

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:55.402743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.402743Z digest=sha256:6385a0c69c9b6dfb6fc0a5a9df32dc1eea856a205df14dbc820c4d6b48a2318c

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:55.391452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.391452Z digest=sha256:996ef90dc26bfc5dc92416d8d814462231b68a94b0adc37105651f0a8733a604

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T12:39:57.398423Z digest=sha256:e225f9f580bc1815dd88f01f3253bd56f3f6c5e60d58521774cdfd698e5130df