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Paper Citation Record · LEDGER

Function Vectors in Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2310.15213.

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

pith.paper-citation-record.v1
2310.15213 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:33.313206Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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  • metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 202e8ce7-6c0d-459e-aed9-a859c14d2f6b · inbound

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

The Linear Representation Hypothesis and the Geometry of Large Language Models Function Vectors in Large Language Models

Reference 23

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verified exact
arxiv_id, observed 2026-05-11T21:43:30.555364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T21:43:28.274354Z digest=sha256:330f7cd14761b7ba562218b286c0f3d98f192ca882eb56f42e6bc8ee4e35479d

Observation 1e99aaf8-5a26-4fe6-ace4-262e2dcb7f33 · inbound

How to use and interpret activation patching cites this paper.

How to use and interpret activation patching Function Vectors in Large Language Models

Reference 27

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arxiv_id, observed 2026-05-16T20:34:06.941038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T20:34:06.888683Z digest=sha256:a9e4b90ad55bf1ae3cd8ba76e4c6e2045005762fabc2c22985990db289a1ed9a

Observation df26eeb2-e546-4cba-a716-cdbc102862fd · inbound

Steering Large Language Models for Machine Translation Personalization cites this paper.

Steering Large Language Models for Machine Translation Personalization Function Vectors in Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:50.458189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:01:50.458189Z digest=sha256:6277732f0e3a219d430f9965977fd3f19a9fb5a616b1978d1b5dc68b8daeddb3

Observation d7a229c4-804a-43cd-ac26-2a4f81e96d8d · inbound

GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace cites this paper.

GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace Function Vectors in Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:33.313206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:33.313206Z digest=sha256:fcacd066cb7c51cc3f07f53ad40223fb1608ec89e0797282adcc920503776541

Observation 528b1f47-fb11-476e-a2f0-d6f47868ade8 · inbound

Evaluating Steering Techniques using Human Similarity Judgments cites this paper.

Evaluating Steering Techniques using Human Similarity Judgments Function Vectors in Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:57.101150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:20:57.101150Z digest=sha256:7d34eef08963ff78cb064bf0bfe24b99ba18bff4cd068a21ca5eb80df98dda6f

Observation ea55c297-7e2f-4181-a079-3c0a3fd84ef1 · inbound

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline cites this paper.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Function Vectors in Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:19.641132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:19.641132Z digest=sha256:b2c9232dcfb155ee8d1fa1e95bff089ea71696bfdfe246d7a3aef62d6d354fcc

Observation 96dbf721-bcbc-4538-8d96-a39327a76187 · inbound

Understanding (Un)Reliability of Steering Vectors in Language Models cites this paper.

Understanding (Un)Reliability of Steering Vectors in Language Models Function Vectors in Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:07.335261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:10:07.335261Z digest=sha256:066610a540b373cf5d39ce713079a2eab3ffaf99104cfd9535c342c04c132668

Observation d29088bc-42e0-4a76-8bb7-9ecaf5ff86fd · inbound

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey cites this paper.

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey Function Vectors in Large Language Models

Reference 91

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no resolver link, observed 2026-08-07T10:46:20.293292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:46:20.293292Z digest=sha256:4804cdba2590f98b672fd8f99587c673782308c04682363813c5c908aaf1ef02

Observation 959a4e8b-42ef-4161-91f0-a29c38637dc2 · inbound

Distinct Computations Emerge From Compositional Curricula in In-Context Learning cites this paper.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Function Vectors in Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:58.910906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:58.910906Z digest=sha256:a00b0409288705fef40797fd66721b6e28c3de38b1e1f62ed590461a20b25cd3

Observation 9225116f-b9dc-4673-a31f-deaa807e29eb · inbound

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective cites this paper.

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective Function Vectors in Large Language Models

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-06T23:48:42.090341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:48:42.090341Z digest=sha256:988571fb5dd610cf96a6a51bb4d0eed76f4073087789c2c7bfda864801cdfb7d

Observation 66ce685a-f5a9-4fe1-b1ff-1cdff219b023 · inbound

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

Can Interpretation Predict Behavior on Unseen Data? Function Vectors in Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T19:10:30.949014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:10:30.949014Z digest=sha256:4fd576c20a602dc156da25cf395441bdad7b00a755f3e0d87136a9c88cb13a3d

Observation 6045a31c-4ba1-4a22-834d-5e9d979c263a · inbound

Learning without training: The implicit dynamics of in-context learning cites this paper.

Learning without training: The implicit dynamics of in-context learning Function Vectors in Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T15:31:25.481995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:31:25.481995Z digest=sha256:bf3b60d367a666ecb05ebeb0bdaf669116d92fa43d2d970cbb74e91328c7bd13

Observation f94a2457-2545-492a-b1f6-4f6e75757dab · inbound

Soft Head Selection for Injecting ICL-Derived Task Embeddings cites this paper.

Soft Head Selection for Injecting ICL-Derived Task Embeddings Function Vectors in Large Language Models

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T02:41:59.718114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T02:41:52.906516Z digest=sha256:ba586e28f96e521f82a6e910b5450be23f4cb484cef9da7d3b3ddeeb6364f9bd

Observation 8c85f0aa-0d44-4204-a29a-ede02b6cd8dc · inbound

Goal-Directedness is in the Eye of the Beholder cites this paper.

Goal-Directedness is in the Eye of the Beholder Function Vectors in Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T19:23:18.405652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:23:18.405652Z digest=sha256:8cbd332eb80d61c7419c7749d210272d7e48b630ccc2e1722193df40ebbc09ab

Observation b58d9b6f-6896-4d3a-97da-89891791d5ff · inbound

When Models Refuse: Political Steerability and Feature Richness as Measures of Ideological Depth cites this paper.

When Models Refuse: Political Steerability and Feature Richness as Measures of Ideological Depth Function Vectors in Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T14:22:30.893990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:22:30.893990Z digest=sha256:c97255f8057211ab2fb2688311b1f7b19da2fdd92aeded9118c25dc06e6f2a2e

Observation 16181b88-35f6-415c-9a9e-ef0583fae94f · inbound

Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention cites this paper.

Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention Function Vectors in Large Language Models

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:23.187923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:50:23.187923Z digest=sha256:883139a1e3c7b5bb0b348928374951ec263b2a12e4ececa96f719f9f22eeda23

Observation 5d2a6c35-8b9e-44cf-a4b4-f5b531b56a7c · inbound

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis cites this paper.

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis Function Vectors in Large Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:31:25.493595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T13:26:59.080330Z digest=sha256:f38b5bd4ab1c17aafbdab3655ec19a3328c71c9905e3e5c99d7d5e294258d735

Observation 2728d73d-d87f-4b41-9caf-32cc17ed0181 · inbound

How Do Language Models Compose Functions? cites this paper.

How Do Language Models Compose Functions? Function Vectors in Large Language Models

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T11:06:17.663105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T11:04:09.179536Z digest=sha256:6f1572d05d2cfc3a23a20c4d80bbe30e4b56c8e00c8879e53fbdd2b099155409

Observation 881effc7-d9ee-45dc-b7f4-b27185076dc3 · inbound

Multimodal Function Vectors for Visual Relations cites this paper.

Multimodal Function Vectors for Visual Relations Function Vectors in Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T12:44:42.073130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:44:42.073130Z digest=sha256:dc254a12e2d49150817513759e6c13d81edcbdf125fced355479babfc2fbf08d

Observation 2b86630c-8d21-4fd5-b300-edac5c412406 · inbound

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment cites this paper.

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment Function Vectors in Large Language Models

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:15:56.439619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:36:44.401045Z digest=sha256:5b356909d157e26be4e8c5c82f8124e16112d32ef5dfded1de8b216125760b4c

Observation 6440226e-ffef-41ea-b447-0b5b4d12a2b7 · inbound

Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion cites this paper.

Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion Function Vectors in Large Language Models

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:46:04.331574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T15:19:46.920899Z digest=sha256:f39772b4357750a0041e622d0b7bfebe330ae212d741e7ae3381fd2075cbd8c8

Observation a821eae9-37de-43c3-bd3c-d42bd2175342 · inbound

ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data cites this paper.

ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data Function Vectors in Large Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:56:10.953890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T05:55:41.400468Z digest=sha256:5c2edaadb3c92ffeac00162ed3a6b75b1c27856250f086ed2afe616d8a2e949f

Observation fb785e46-83c9-42c8-92dd-f482f57c2fe6 · inbound

When Context Sticks: Studying Interference in In-Context Learning cites this paper.

When Context Sticks: Studying Interference in In-Context Learning Function Vectors in Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:36:09.495023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T08:31:14.231710Z digest=sha256:a90d4de8825f8126229268c372e84c706c456855c011e4b53d1d9848b6d03206

Observation 86c7e917-6594-4b13-b2be-626b69f51e8b · inbound

Geometric Deviation as an Unsupervised Pre-Generation Reliability Signal: Probing LLM Representations for Answerability cites this paper.

Geometric Deviation as an Unsupervised Pre-Generation Reliability Signal: Probing LLM Representations for Answerability Function Vectors in Large Language Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:55:44.425075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T17:56:27.360060Z digest=sha256:92e006433975abb79faf4f019999fabdfb67a151f57b1f238bc005eba5c1ca9a

Observation aad57d93-97d9-4df7-8283-4c2c590026b7 · inbound

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

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior Function Vectors in Large Language Models

Reference 232

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:16:06.799958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T17:47:09.591001Z digest=sha256:c2172d0020033d203a5e508cd3c02470833677fd16673c287165ce6f9232d5e0

Observation 19972ee6-b98f-4207-a5d0-45e3ff293b0c · inbound

Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes cites this paper.

Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes Function Vectors in Large Language Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:31:10.603781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T11:42:16.090162Z digest=sha256:1252486fc4e059b2066ddc1a1a86e6959c8a64c54f6c891919dc9b503e07d806

Observation edfbd33d-a331-45d7-82b6-b962eee57710 · inbound

Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs cites this paper.

Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs Function Vectors in Large Language Models

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:56:05.709806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T13:28:41.166652Z digest=sha256:a722bdace2ade5125a9d2a2f8f0ea05aaf951a08a3f0913ec10632cbbfe14006

Observation a6bcb1b7-511a-46c5-ba55-084aa8896a77 · inbound

Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs cites this paper.

Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs Function Vectors in Large Language Models

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:01:15.345642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T01:58:30.870257Z digest=sha256:afe34b52b36b3429c28f7aac42daf5199bfe1bbe2f52eae213d5cbea1600fee1

Observation d618fa14-3e50-4088-8a18-9f41c9f6bebc · inbound

Tool Calling is Linearly Readable and Steerable in Language Models cites this paper.

Tool Calling is Linearly Readable and Steerable in Language Models Function Vectors in Large Language Models

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:10:52.693628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T03:09:11.013914Z digest=sha256:873b23016c88cc5741d738fcc995776514e56579d5b81c5d57a2c7daf49c8f47

Observation 21d88f32-3745-4759-a9ae-d604ffe0c506 · inbound

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space cites this paper.

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space Function Vectors in Large Language Models

Reference 103

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:22:18.853017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-13T05:17:34.283917Z digest=sha256:33a275020f72a52c1c03b7dd5f88a9aad47168570d586748f5f646ceb62ff0d9

Observation 8f3a941f-f510-49ca-b819-a3a7a999a716 · inbound

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale cites this paper.

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale Function Vectors in Large Language Models

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:07:41.603505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T17:06:12.280460Z digest=sha256:0e267e17b4d2e6b9d4a691469e198cdbb3d16694a7149a0c76d56002344794b0

Observation 2694fc6b-b65d-4445-af07-6ec031013913 · inbound

Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs cites this paper.

Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs Function Vectors in Large Language Models

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T07:34:02.875184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T07:30:27.297971Z digest=sha256:8c58ebf05f0bb502d2c612a84ec355f3413da450e70c05c4ae42f92281e8c17f

Observation ad1d937f-7719-43aa-88ec-cc27cb2cbeca · inbound

Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs cites this paper.

Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs Function Vectors in Large Language Models

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T18:04:58.143869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T18:00:29.237972Z digest=sha256:1d553c33bbb6f90cec40d53a993e4b02f0e612fef0f461864f2bd973eaa0b3eb

Observation cb76a16f-a92e-4d87-90e3-e65009ed7299 · inbound

Self-Improving In-Context Learning cites this paper.

Self-Improving In-Context Learning Function Vectors in Large Language Models

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:56:38.833587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T04:55:34.529357Z digest=sha256:17f794113197cf05c2f1fb3819330dcd8f7c22323f67ef3bd4d381141c8526f0

Observation 5d053ab1-b4b4-4f70-aa80-0df6079abad3 · inbound

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

Transformer Field Theory: A Response-Theoretic Approach to Mechanistic Interpretability Function Vectors in Large Language Models

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:04:38.236567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T11:58:53.868902Z digest=sha256:d75196742e8935c745fc4a6a92033b431fb5c2d7ddf5d4988d2bdb1c1070911c

Observation 288e073a-da1c-43f5-bf15-c9803a39a2d0 · inbound

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

Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet Function Vectors in Large Language Models

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:53:13.479693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T07:50:04.813379Z digest=sha256:446e32ea87d35a1a6808295f8f228ec5a846124adee77451b948e62af77a1e05

Observation 462a3921-e45c-4ec8-ac0c-c719e8742145 · inbound

Hyper-ICL: Attention Calibration with Hyperbolic Anchor Distillation for Multimodal In-Context Learning cites this paper.

Hyper-ICL: Attention Calibration with Hyperbolic Anchor Distillation for Multimodal In-Context Learning Function Vectors in Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:36:43.902685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T07:23:19.428348Z digest=sha256:b13bf570633bafff9952a9f0d42b00544f0313af43c06c267a776cdc67b0613e

Observation 788a4913-48cd-4647-a40f-73de2fc9a4bb · inbound

Recoverable but Not Stationary:Local Linear Structures in Weights and Activations cites this paper.

Recoverable but Not Stationary:Local Linear Structures in Weights and Activations Function Vectors in Large Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:27:37.355320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T13:51:39.893972Z digest=sha256:f515f94b3870c874fd62f6096c079e9cf8467b0c81709b87026b38fdf92a78c6

Observation 312e32d2-8b1e-466e-9a4f-22c152a22b39 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Function Vectors in Large Language Models

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:09:46.407851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T08:09:57.542558Z digest=sha256:f7fef05eccc48f4ca834755bce7a875a1c579e0d4b1328fa2555ba19bdb698f8

Observation 28bb7b48-6c76-462e-940f-c4feb921a582 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Function Vectors in Large Language Models

Reference 128

Resolution
unresolved
no resolver link, observed 2026-08-02T10:27:18.230519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:27:18.230519Z digest=sha256:d603ad24b3b08bc4360e4172f4aa4991733a7d6e013e6cf3ee8b0a92ee2c91a4

Observation da23b906-4f2f-482e-adda-c24df10f3058 · inbound

Generating Special Triangulations with Transformers cites this paper.

Generating Special Triangulations with Transformers Function Vectors in Large Language Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:29:54.930919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T03:27:36.821748Z digest=sha256:dd9ecab346c6d3bafeb88f6101edf53970264727e75f8a8be25c2d714b8767ca

Observation 0d6f1515-5481-4255-8fde-c1922b02d8ee · inbound

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

Verbalizable Representations Form a Global Workspace in Language Models Function Vectors in Large Language Models

Reference 163

Resolution
unresolved
no resolver link, observed 2026-08-01T23:15:30.832027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:15:30.832027Z digest=sha256:e7bef1cea1d57d8ba1744418fa21cf2f1ae24ce029970e246fe5fe1bcd12fbfc

Observation 8cd593dd-3d86-410d-a289-7e2e79272382 · inbound

First-Order Predictable but Pairwise Fragile: Local Task Adaptation in Trained Transformers cites this paper.

First-Order Predictable but Pairwise Fragile: Local Task Adaptation in Trained Transformers Function Vectors in Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-01T19:55:53.591372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:55:53.591372Z digest=sha256:ea24c57229cc1a9c8804d1bf4bfaa3aeff2748ce1af70b81457f375165c4a376

Observation 40873664-00ad-4a4d-b145-708dadb950be · inbound

On the Diversity of Analogy Making in Large Language Models cites this paper.

On the Diversity of Analogy Making in Large Language Models Function Vectors in Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T23:02:35.590690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:02:35.590690Z digest=sha256:be971b29b61c8c09440e45b82f6f01c93b2aac96f087e7360eb32a97ba861bfb