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Paper Citation Record · LEDGER

Toward universal steering and monitoring of AI models

As of 9 August 2026, this Paper Citation Record lists 100 of 146 outbound references and 7 inbound Pith citation observations for arXiv:2502.03708.

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

pith.paper-citation-record.v1
2502.03708 v2

Coverage vector

measured 100 of 146 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T01:06:10.376745Z

measured 107 of 107 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:45:42.691479Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:07:08.191129Z

Reference resolution

100 of 146 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved93
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ddb1f5cc-de70-42e3-aa99-b3911a919e15 · outbound

This paper cites The Llama 3 Herd of Models.

Toward universal steering and monitoring of AI models The Llama 3 Herd of Models

Reference 1

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source=pdf_text observed=2026-08-09T01:06:10.019790Z digest=sha256:fc7b929f51108a034ea03022930545ea96a75975a9c02fd7bbe4aeba00874159

Observation 8cfd5ded-d424-4892-b0bc-deb339ae8951 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

Toward universal steering and monitoring of AI models The claude 3 model family: Opus, sonnet, haiku

Reference 2

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source=pdf_text observed=2026-08-09T01:06:10.023955Z digest=sha256:5130a37df89b997cd9826c6d8cce233726074962497d16bff7a6c474af4a039d

Observation ba96e59a-58c7-438e-bce6-f2541f0fb526 · outbound

This paper cites Azaria and T.

Toward universal steering and monitoring of AI models Azaria and T

Reference 3

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source=pdf_text observed=2026-08-09T01:06:10.027910Z digest=sha256:307645d7d10131746f210f6c34445eba2abe23ed999a24e90858ce8ce5869bc4

Observation a04f7b1c-6a8d-416e-9b26-7c9cc36b9579 · outbound

This paper cites Belinkov.

Toward universal steering and monitoring of AI models Belinkov

Reference 4

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source=pdf_text observed=2026-08-09T01:06:10.031650Z digest=sha256:0c57063a54734d2e343b4e397e4e4a8914c741137ff5f981c10e79cdf1906352

Observation be9f1f50-3cec-4b72-9558-220ae24185ed · outbound

This paper cites Bricken, A.

Toward universal steering and monitoring of AI models Bricken, A

Reference 5

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source=pdf_text observed=2026-08-09T01:06:10.035023Z digest=sha256:55b1853af0222678b4fd24d8f99e9ff371e53acbe9a6a1b58be3d5f3c5b3dd09

Observation d12d3faa-2fd5-4e68-9ee8-c05ba1e1eccd · outbound

This paper cites Brown, B.

Toward universal steering and monitoring of AI models Brown, B

Reference 6

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source=pdf_text observed=2026-08-09T01:06:10.041178Z digest=sha256:58540ee93eb1eada5b0d7b245fcb7bfd8787ea7c0a087921a8a3ee6c7471223c

Observation b7564afc-7ebd-4aa8-8e34-1ae6f9f5d020 · outbound

This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

Toward universal steering and monitoring of AI models Discovering Latent Knowledge in Language Models Without Supervision

Reference 7

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source=pdf_text observed=2026-08-09T01:06:10.044414Z digest=sha256:ff975db1c8b2994740cc15435b3be954c8c74d902ed67e05483866201e35a0c9

Observation ee429d52-7e7c-46c3-9d20-476f0ff35af0 · outbound

This paper cites Detecting Strategic Deception Using Linear Probes.

Toward universal steering and monitoring of AI models Detecting Strategic Deception Using Linear Probes

Reference 8

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source=pdf_text observed=2026-08-09T01:06:10.047723Z digest=sha256:22ffd1ec03674a901225b1de1dc58acd075557ac40154a98fe28d79c0f3df9a5

Observation 79f7f3f0-810a-4c15-804a-86af248b3263 · outbound

This paper cites Gottesman and M.

Toward universal steering and monitoring of AI models Gottesman and M

Reference 9

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source=pdf_text observed=2026-08-09T01:06:10.051126Z digest=sha256:690ee58ea8bf137d59fbb3644a1b334bf4c65e000517c2545e8e4f86058d8dee

Observation 82ae00c6-24bf-4370-8f7a-f6ff6585e366 · outbound

This paper cites Hackerrank coding challenges.

Toward universal steering and monitoring of AI models Hackerrank coding challenges

Reference 10

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source=pdf_text observed=2026-08-09T01:06:10.058675Z digest=sha256:2afce36a32770227dbbea22f475cd33abbf5deb3b6979b29087cc50b89a5012e

Observation 72917922-5105-46f8-a3b5-c41d2c88931a · outbound

This paper cites Huben, H.

Toward universal steering and monitoring of AI models Huben, H

Reference 11

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source=pdf_text observed=2026-08-09T01:06:10.062194Z digest=sha256:6b1d12e3459a9b13962fc87e13cce01541b57d948df3a9b348410974a11f7475

Observation eeaae114-d14d-4102-9499-e8eb1551a6f0 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-09T01:06:10.065607Z digest=sha256:f782531c573e9eecb55bb3f2aa8d17f6822d89e9607ce342099049d7d498b89a

Observation 3d193349-7a3b-48b4-aa7d-7583892615ed · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-09T01:06:10.069047Z digest=sha256:3d4832b21dc8ea77331a236a3dce3df39763516704e751deea654231a802c602

Observation 4039d051-704f-4fc7-8ba9-328cf2f2c1a1 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-09T01:06:10.072591Z digest=sha256:e10e7d07c145d0ea9d622b0ff6d49eeb56863e745e45afe1f97e6f13c0195752

Observation ae3518f9-d39e-425b-b1e8-deb9e05d314d · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-09T01:06:10.076111Z digest=sha256:0e280810997d8d7af8af4deedabc35bae714b405c40e177f0e58ec162cc3f59d

Observation cce20d05-5e2a-4209-9193-b365dff4191b · outbound

This paper cites Lindsey, A.

Toward universal steering and monitoring of AI models Lindsey, A

Reference 16

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source=pdf_text observed=2026-08-09T01:06:10.079658Z digest=sha256:ca636d39fc47e47c0858dc29d12533bb0e98ac119553c93760a6cdc733a7a1b1

Observation f68348ff-53bd-40c5-8b27-2d10f8588136 · outbound

This paper cites Mikolov, I.

Toward universal steering and monitoring of AI models Mikolov, I

Reference 17

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source=pdf_text observed=2026-08-09T01:06:10.083667Z digest=sha256:71b40be62908b48198fbc0a319591ff9fd58547dc34588a361f490ac5db4d05e

Observation 08cb75a2-f1f9-494d-a4b9-c9fa05665eb3 · outbound

This paper cites Mikolov, W.-t.

Toward universal steering and monitoring of AI models Mikolov, W.-t

Reference 18

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source=pdf_text observed=2026-08-09T01:06:10.087160Z digest=sha256:40e95b7215b905281a7187ba1561997f34ac7e4cd4efe4aab06c5829d262d4c6

Observation ac188e44-3375-465c-97bd-7db8bffae687 · outbound

This paper cites Mishra, A.

Toward universal steering and monitoring of AI models Mishra, A

Reference 19

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source=pdf_text observed=2026-08-09T01:06:10.090684Z digest=sha256:0f41e7d7460f0bae7a5f1fca4d5f8610ce51f0029dc3153efc37b1ae0961eaee

Observation 556cd541-dd3b-4720-af62-bbf012fd71ab · outbound

This paper cites Nanda, A.

Toward universal steering and monitoring of AI models Nanda, A

Reference 20

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source=pdf_text observed=2026-08-09T01:06:10.094223Z digest=sha256:623bd56989cefefa7ac3a252d8b281f4623cb7d150bc4ed7038934149ad6a02e

Observation 05242f16-141c-4b2a-8aa0-6cfd1ae1d330 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-09T01:06:10.097672Z digest=sha256:0f637a5d5ca2d658b68093eeb6df84f27d6a7a68c8eae938b86cea4eed4e9c79

Observation f39d2fe9-8558-4b8d-bf49-8b4d0d0fadc1 · outbound

This paper cites GPT-4o System Card.

Toward universal steering and monitoring of AI models GPT-4o System Card

Reference 22

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source=pdf_text observed=2026-08-09T01:06:10.101168Z digest=sha256:d0c72e7f34ab72eb8288bf3f10ff068db61c2cd72d1f2767b16e9506676a34a3

Observation 50908e73-568a-4db7-b1ad-37324a963e4d · outbound

This paper cites Ouyang, J.

Toward universal steering and monitoring of AI models Ouyang, J

Reference 23

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source=pdf_text observed=2026-08-09T01:06:10.104887Z digest=sha256:e443215279956d55d4408d695dd76d9a58b5ee1a6f3868953d325930d40560bd

Observation 90359b28-7147-407e-a566-cef230ce3efb · outbound

This paper cites Pedregosa, G.

Toward universal steering and monitoring of AI models Pedregosa, G

Reference 24

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source=pdf_text observed=2026-08-09T01:06:10.108571Z digest=sha256:eebd2af8b32dfedd7b0a8f1752b287fb946d2f00ccb787839ccc2e6811107880

Observation 27f5e549-5c3d-489a-b7fe-8b5ad748eb37 · outbound

This paper cites Pennington, R.

Toward universal steering and monitoring of AI models Pennington, R

Reference 25

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source=pdf_text observed=2026-08-09T01:06:10.112136Z digest=sha256:d18f3549ed9de8cd0084224b00e7dd1e6e0819812f006255af6dcb7dff330f3b

Observation e8169d54-8f7e-4683-98fd-952a69399139 · outbound

This paper cites Radhakrishnan, D.

Toward universal steering and monitoring of AI models Radhakrishnan, D

Reference 26

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source=pdf_text observed=2026-08-09T01:06:10.115523Z digest=sha256:7b07141ea0fd57a1ad6d0afbe72463bc6578222522a3ada107652e75b211a45e

Observation a1ddb6de-83eb-4df9-9732-de368c45e57a · outbound

This paper cites Lynx: An Open Source Hallucination Evaluation Model.

Toward universal steering and monitoring of AI models Lynx: An Open Source Hallucination Evaluation Model

Reference 27

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Observation 6970eb5b-a48f-4202-8de4-4e1ffecfd619 · outbound

This paper cites Rimsky, N.

Toward universal steering and monitoring of AI models Rimsky, N

Reference 28

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Observation 6ca8f928-b4b8-4a15-ad94-37354a834637 · outbound

This paper cites Smith, S.

Toward universal steering and monitoring of AI models Smith, S

Reference 29

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Observation e5b381c3-c083-4346-b27c-6d7fb604d0b5 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 30

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Observation f6440c50-0e67-4a2a-b694-89323c7f1d13 · outbound

This paper cites Sriramanan, S.

Toward universal steering and monitoring of AI models Sriramanan, S

Reference 31

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Observation 9e6adcae-04dd-43be-a383-60084dcb3231 · outbound

This paper cites Stolfo, V.

Toward universal steering and monitoring of AI models Stolfo, V

Reference 32

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Observation e4179b55-eead-4447-9c31-abbe7b3be80b · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 33

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Observation 4476213b-a42f-4f4b-8307-5ddad6c7bd04 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-09T01:06:10.144120Z digest=sha256:3817e2c49d6615d983a87014863e99a6e616d5d2568d40e3d987a8cbb7bae54c

Observation c213a571-1f47-4cf7-bf24-0257b25e7655 · outbound

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

Toward universal steering and monitoring of AI models AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders

Reference 35

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Observation 41355242-cdb7-48dd-a4a7-48dd8aeb115f · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.151162Z digest=sha256:d0f9c896235ba5fad2bbd2b57e4854740e389458d692a67f52972e59fee6d741

Observation 55b060c6-b8ff-4884-8901-52832195af40 · outbound

This paper cites HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild.

Toward universal steering and monitoring of AI models HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild

Reference 37

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Observation 57bb25a9-1bf8-412d-8ba8-d93631d61917 · outbound

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

Toward universal steering and monitoring of AI models Representation Engineering: A Top-Down Approach to AI Transparency

Reference 38

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Observation 0bea6f09-7ecc-49eb-9b54-3da10f8a29e2 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Toward universal steering and monitoring of AI models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 39

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source=pdf_text observed=2026-08-09T01:06:10.160708Z digest=sha256:b375cbc5ff70b541d05dd94f1c359dba2938473288e47b3df61659f22d3498d8

Observation 0482fca6-3918-44d5-8296-dab2c45109b0 · outbound

This paper cites We used the 768 labeled prompts from https://huggingface.co/datasets/justin phan3110/harmful_harmless_instructions (corresponding to the test prompts in the provided dataset).

Toward universal steering and monitoring of AI models We used the 768 labeled prompts from https://huggingface.co/datasets/justin phan3110/harmful_harmless_instructions (corresponding to the test prompts in the provided dataset)

Reference 42

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source=pdf_text observed=2026-08-09T01:06:10.165262Z digest=sha256:edfdf9d4835a0962ee524c4b5e7f0c4d60d543edc046653334f8ff66b85b340b

Observation ce37750b-30c8-470b-8b7e-9898caba6605 · outbound

This paper cites Take on a conservative stance.

Toward universal steering and monitoring of AI models Take on a conservative stance

Reference 43

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source=pdf_text observed=2026-08-09T01:06:10.169031Z digest=sha256:03e9aa12c38b03d18566bef4a3f72a0ca3b4ea8520a0896591e3a6c6ad19bb87

Observation 0cdc7481-24e2-4113-877f-d119cb330859 · outbound

This paper cites To learn deception vectors, we use the RolePlaying deception dataset from [8].

Toward universal steering and monitoring of AI models To learn deception vectors, we use the RolePlaying deception dataset from [8]

Reference 44

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source=pdf_text observed=2026-08-09T01:06:10.172210Z digest=sha256:4071bc91194e18dab5b9a7f31e85e6d46433a1156adcbd4a21a9e5a8a4095086

Observation a49a705b-5738-4937-a653-afe2a9eef3be · outbound

This paper cites Take on the role of a conspiracy theorist.

Toward universal steering and monitoring of AI models Take on the role of a conspiracy theorist

Reference 45

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source=pdf_text observed=2026-08-09T01:06:10.175664Z digest=sha256:799e27b2e6c4fb078a1443d3a699febf3a28f08c70b48f4e7cab70b822471b46

Observation 0c5275ba-874b-4f80-9110-84d5e12be818 · outbound

This paper cites Take on the role of a major social media influencer.

Toward universal steering and monitoring of AI models Take on the role of a major social media influencer

Reference 46

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source=pdf_text observed=2026-08-09T01:06:10.179271Z digest=sha256:0bee0ab23ef7a34fcc44c1e45199b61090b31ad46963f68adee72741442e6230

Observation 29668456-237c-4dfb-9f9b-b69f4150b4ba · outbound

This paper cites Answer in Shakespearean english.

Toward universal steering and monitoring of AI models Answer in Shakespearean english

Reference 47

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source=pdf_text observed=2026-08-09T01:06:10.182899Z digest=sha256:1fc9ec0e16335fe73ef6fafff1424b01ea94c9874ea61113c884dd7851efaa48

Observation 175d137c-9877-40c6-b9bb-4aa718c3af4c · outbound

This paper cites We used a linear combination of the conspiracy and Shake- spearean english concept vectors (0 .5 weights for both vectors in the combination).

Toward universal steering and monitoring of AI models We used a linear combination of the conspiracy and Shake- spearean english concept vectors (0 .5 weights for both vectors in the combination)

Reference 48

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source=pdf_text observed=2026-08-09T01:06:10.186208Z digest=sha256:44de0300d843e6c70a7f0ac0630ab6cf9e4f129c00bc9fdddf723b49ad036a76

Observation 72ff8cb4-7110-419e-8064-b79894c86e2f · outbound

This paper cites For social media influencer and conservative leaning, we used a linear combination (0 .5 weight) of the corresponding concept vectors and a control coefficient of ϵ = 0.65.

Toward universal steering and monitoring of AI models For social media influencer and conservative leaning, we used a linear combination (0 .5 weight) of the corresponding concept vectors and a control coefficient of ϵ = 0.65

Reference 49

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source=pdf_text observed=2026-08-09T01:06:10.189496Z digest=sha256:91e6be5b4d946941aa6d8167ec464cad985338da2451aa445181e13887788ecf

Observation 1f4e6aca-a93a-4710-8ce9-59487264271a · outbound

This paper cites Format your answer as a poem.

Toward universal steering and monitoring of AI models Format your answer as a poem

Reference 50

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source=pdf_text observed=2026-08-09T01:06:10.192920Z digest=sha256:0357eb8c27f4c868a88ed1cccfe8ec141ed0b3b2b17dba633e36706e92a2215f

Observation 42ae220b-1385-4112-9e89-d1e34d173e78 · outbound

This paper cites Complete the translation of the following statement in English to Spanish.

Toward universal steering and monitoring of AI models Complete the translation of the following statement in English to Spanish

Reference 51

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source=pdf_text observed=2026-08-09T01:06:10.196494Z digest=sha256:bbce11447860cc97b0a19cdb8c5a6882d543c5b180148996218fdf370bb1c5be

Observation 6bf2ec0b-f7ec-4f8c-b694-39a473f1e4ce · outbound

This paper cites Complete the translation of the following program [...].

Toward universal steering and monitoring of AI models Complete the translation of the following program [...]

Reference 52

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source=pdf_text observed=2026-08-09T01:06:10.199762Z digest=sha256:7a1b446aae0fcf7093911aae5f621a8a34a804065287087dc154a33183dacb7a

Observation 2a08671f-4480-437d-865e-564288ea1768 · outbound

This paper cites Personify someone who is terrified of F.

Toward universal steering and monitoring of AI models Personify someone who is terrified of F

Reference 53

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source=pdf_text observed=2026-08-09T01:06:10.203522Z digest=sha256:33996bab3951681857bebbb5e466fc444fdafcaaf8a47c644d7b5b74e27e7523

Observation ddee0b11-e764-427f-a24e-cdea7d5496ec · outbound

This paper cites Take on the role of an expert E.

Toward universal steering and monitoring of AI models Take on the role of an expert E

Reference 54

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source=pdf_text observed=2026-08-09T01:06:10.206885Z digest=sha256:2206ba101135dd4e33c054c348fced5382690c66da16bd78791d878bf0b77ce7

Observation 573eb800-2726-4c9b-abeb-748e1e4b1e60 · outbound

This paper cites Take on a M mood.

Toward universal steering and monitoring of AI models Take on a M mood

Reference 55

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source=pdf_text observed=2026-08-09T01:06:10.210222Z digest=sha256:1af502e34f2638dee6f472c68760e2b563442bc916be7b2e98d0b8f3cb69fe93

Observation b796c3fd-4bfe-4a7c-a0e5-ae999cd65d2d · outbound

This paper cites Personify someone who loves L.

Toward universal steering and monitoring of AI models Personify someone who loves L

Reference 56

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source=pdf_text observed=2026-08-09T01:06:10.213515Z digest=sha256:3230c5056e0a6763e9fe220457142cc2c185f5357c387f33dc9c884fb19ae022

Observation 1f66bf9f-21be-4254-8892-e2f3f65cea3a · outbound

This paper cites Take on the role of P.

Toward universal steering and monitoring of AI models Take on the role of P

Reference 57

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source=pdf_text observed=2026-08-09T01:06:10.216935Z digest=sha256:9c661268514120a5999e414a62a02cc30e528b5b447989b9e382b7bc55095c32

Observation 843ea658-56e4-4173-9851-a4bd4e10e318 · outbound

This paper cites What is the scariest thing in the world?.

Toward universal steering and monitoring of AI models What is the scariest thing in the world?

Reference 58

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source=pdf_text observed=2026-08-09T01:06:10.221331Z digest=sha256:56f2e27a7ae3734717ca63d9941a1ed3d7db4b6586d9e64c5aa9ee8c64f45603

Observation 31f78370-374c-4400-977d-5bbf185ace9d · outbound

This paper cites Is there anything you secretly hope never happens to you?.

Toward universal steering and monitoring of AI models Is there anything you secretly hope never happens to you?

Reference 59

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source=pdf_text observed=2026-08-09T01:06:10.225177Z digest=sha256:c4bb1f988b263f90c882a0b4fbe3571f402ced388dd6e8c741de10932a9cc332

Observation 7a7c8082-983c-4e5c-bddb-846a417b673a · outbound

This paper cites What would a movie villain based on your worst fear be like?.

Toward universal steering and monitoring of AI models What would a movie villain based on your worst fear be like?

Reference 60

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Observation 8bac4c66-3004-4c7b-b184-019cb68077e2 · outbound

This paper cites If a fear had to visit you in your sleep, what form would it take?.

Toward universal steering and monitoring of AI models If a fear had to visit you in your sleep, what form would it take?

Reference 61

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source=pdf_text observed=2026-08-09T01:06:10.232800Z digest=sha256:4b21b94d669e56b0791622a23a9d6adb7ed5254cbf77779df722633c109738a5

Observation ff37febe-faa1-4a12-b310-5a11c7b5fea2 · outbound

This paper cites What would a fear-themed amusement park ride, made just for you, be like?.

Toward universal steering and monitoring of AI models What would a fear-themed amusement park ride, made just for you, be like?

Reference 62

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source=pdf_text observed=2026-08-09T01:06:10.236979Z digest=sha256:560f6ee0fedb9166f221a090d1babc0f3b6d9fda20c952f37e8c5a7b000944fb

Observation 5999a8a0-1c30-4f0b-917c-9185af9a2797 · outbound

This paper cites What is your favorite subject?.

Toward universal steering and monitoring of AI models What is your favorite subject?

Reference 63

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Observation 0f035a37-25d3-4d44-919e-c0697783707c · outbound

This paper cites What’s the kind of problem that makes you forget to eat or sleep?.

Toward universal steering and monitoring of AI models What’s the kind of problem that makes you forget to eat or sleep?

Reference 64

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source=pdf_text observed=2026-08-09T01:06:10.243993Z digest=sha256:f00c48fbf66b82b9494c36d41a796c04d0f662ac479847a55374200067602960

Observation d8fc6ac4-f1bb-4d36-9093-89c5b3dfafc1 · outbound

This paper cites If you had unlimited resources, what would you work on?.

Toward universal steering and monitoring of AI models If you had unlimited resources, what would you work on?

Reference 65

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source=pdf_text observed=2026-08-09T01:06:10.247333Z digest=sha256:bbd0eb29a9e9301be29c7d84255b5331f67d5a5f1837c5c9613b0488b64ae38e

Observation 384771ea-0eca-4c6e-9880-59643d05f0ab · outbound

This paper cites What’s a question that got you hooked?.

Toward universal steering and monitoring of AI models What’s a question that got you hooked?

Reference 67

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Observation 893541e1-17fb-41ff-b9b7-d4575d924038 · outbound

This paper cites How are you feeling today?.

Toward universal steering and monitoring of AI models How are you feeling today?

Reference 68

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Observation ceb81b67-2f32-4a25-bd80-8c274a4b9f31 · outbound

This paper cites What’s one sentence that would sum up your current vibe?.

Toward universal steering and monitoring of AI models What’s one sentence that would sum up your current vibe?

Reference 69

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source=pdf_text observed=2026-08-09T01:06:10.260906Z digest=sha256:667bfb890dd10aaa818aeee94ff60285708ebc6eef9beb514bfc9e060cc3e7a6

Observation f3856b7a-1814-4723-83f1-d5eff92e7188 · outbound

This paper cites Tell me about your day.

Toward universal steering and monitoring of AI models Tell me about your day

Reference 70

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Observation 2c2aefa5-6617-4b62-9a98-280228a32fae · outbound

This paper cites What would a song that describes your current mood be called?.

Toward universal steering and monitoring of AI models What would a song that describes your current mood be called?

Reference 71

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Observation 5e276d2e-bd15-4225-8e7b-cb570e825acb · outbound

This paper cites Where would you go if you could go anywhere right now?.

Toward universal steering and monitoring of AI models Where would you go if you could go anywhere right now?

Reference 72

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source=pdf_text observed=2026-08-09T01:06:10.270231Z digest=sha256:32a91f1280bcac139cf4fa0d0db0a16c6e79ff2f3297e499355d674d79611d49

Observation c41fc7bc-a4c0-44e6-9880-f4ba03022114 · outbound

This paper cites What is your favorite place?.

Toward universal steering and monitoring of AI models What is your favorite place?

Reference 73

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Observation bd1233bc-4670-4450-b4a4-bc1b717c29a9 · outbound

This paper cites If you could instantly master any skill, what would it be?.

Toward universal steering and monitoring of AI models If you could instantly master any skill, what would it be?

Reference 74

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Observation 75b21460-b4e9-451c-8e04-713447849617 · outbound

This paper cites If you could build a shrine to one place, what would you put inside it?.

Toward universal steering and monitoring of AI models If you could build a shrine to one place, what would you put inside it?

Reference 75

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Observation 942d9428-7403-4039-9a2d-b27e66610d20 · outbound

This paper cites ”If someone filmed a movie about your life, where would the opening scene be set?.

Toward universal steering and monitoring of AI models ”If someone filmed a movie about your life, where would the opening scene be set?

Reference 76

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Observation 012a704c-8dc3-4333-8d30-2437882b4fe8 · outbound

This paper cites Where were you the last time you felt completely at peace?.

Toward universal steering and monitoring of AI models Where were you the last time you felt completely at peace?

Reference 77

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Observation b24c868d-681f-4fd8-9e4f-475d516a8f2d · outbound

This paper cites Tell me about your work.

Toward universal steering and monitoring of AI models Tell me about your work

Reference 78

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Observation b21c15bf-17d5-4a87-a048-d2857efd14d7 · outbound

This paper cites What’s something you’ve always been drawn to?.

Toward universal steering and monitoring of AI models What’s something you’ve always been drawn to?

Reference 79

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Observation 9cef47d5-4d53-4d86-9ed7-de07dd230a21 · outbound

This paper cites If someone gave you the keys to everything — money, power, influence — what’s the first thing you’d do?.

Toward universal steering and monitoring of AI models If someone gave you the keys to everything — money, power, influence — what’s the first thing you’d do?

Reference 80

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source=pdf_text observed=2026-08-09T01:06:10.295497Z digest=sha256:3f4f45d98b1e52605c82e9ab628f97e584a948285a40a43d0a4fbea4559a388c

Observation 75e0c42f-2b2a-4756-ac63-0e01b8c0995e · outbound

This paper cites Describe your work in a way a 5-year-old can understand.

Toward universal steering and monitoring of AI models Describe your work in a way a 5-year-old can understand

Reference 81

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source=pdf_text observed=2026-08-09T01:06:10.299176Z digest=sha256:9eb3ed77233fb63f1e5ba0b3ff2e1cc8e67fcc8fcf35a12ba2524a6dcc49ac73

Observation 162c9d90-dfaa-4f40-a326-0fb5c940c8da · outbound

This paper cites If you could teach everyone one thing, what would it be?.

Toward universal steering and monitoring of AI models If you could teach everyone one thing, what would it be?

Reference 82

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source=pdf_text observed=2026-08-09T01:06:10.302628Z digest=sha256:704a983db4040eca21af10138aa8bddfdeb735d05c42796c8257a54256082e2d

Observation c0441286-0442-445f-9310-0f2c1c41bf8d · outbound

This paper cites Evaluation criteria:.

Toward universal steering and monitoring of AI models Evaluation criteria:

Reference 83

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Observation 0c6dc9d4-b8aa-4866-95e7-4956ba0cd53f · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 84

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source=pdf_text observed=2026-08-09T01:06:10.310158Z digest=sha256:9cc022f8bc408bfa1229f47f34634a658f65002614b0b74c9c967b9cefcea8bb

Observation f3afc3ae-13c4-48a8-91b5-8650772aa560 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 85

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T01:06:10.313568Z digest=sha256:f9235c0917a795b7cdf3212641046b0f988725c32005b0e5153444b0ca9cd866

Observation ac9f4c9b-c047-4ea0-8b81-26c7480f1440 · outbound

This paper cites Output format:.

Toward universal steering and monitoring of AI models Output format:

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-09T01:06:10.316794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T01:06:10.316794Z digest=sha256:eca0a98ad712fb2d72042b0d09e6f865a042a3e1000769caf23025da7e8e34ea

Observation 24aba150-f321-42cf-9609-a7af425da36c · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-09T01:06:11.466955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.320151Z digest=sha256:ab7d56e491ca57b312128e18ff75cf70df4e6e7c0d85088570cc686b0d174e42

Observation d8fb4df1-572d-4ff1-9ae5-228295b8f74b · outbound

This paper cites Here are 5 examples:.

Toward universal steering and monitoring of AI models Here are 5 examples:

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T01:06:11.457389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.323484Z digest=sha256:e6be86f63539a27a9b7930c78ed8c9db1e0cfc331b6d774fb749d12e5cce32f8

Observation 9a511eb6-ce03-467e-a77a-91bae0365aa0 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-09T01:06:11.447011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.326920Z digest=sha256:490913e7c14232c7628dc2e7ccabb42a74d4b66b21d3668ead8ad9704fba70ff

Observation b23bac1b-d3d1-4187-a831-81713ec29523 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-09T01:06:11.436689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.330497Z digest=sha256:fcbab0bc58a57c3bb5dcd8c3f30ca896c213f5e51f39a33bd2b04b206a6f98cb

Observation 158cd294-ef67-4455-8b5c-c309df0cea0c · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-08-09T01:06:11.426258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.334391Z digest=sha256:b43f16875fe305ee02caf35b986edf046c2714e509e2799b0ab5de62e163b55b

Observation 91d5c4ab-a105-4bf1-9c06-6d3b6a43b195 · outbound

This paper cites I think The Scariest thing is.

Toward universal steering and monitoring of AI models I think The Scariest thing is

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T01:06:11.416396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.338201Z digest=sha256:44310a080f86aaf0b6877a45fb697ab172e1ae44852e17652a6e2c079d3f1988

Observation cc73dcaf-1933-46f3-83fa-1c3d3308d171 · outbound

This paper cites BIG WORD BAD? Answer in 3 words.” Evaluation Output: Score: 0 Explanation: The response mentions the fear but is nonsensical.

Toward universal steering and monitoring of AI models BIG WORD BAD? Answer in 3 words.” Evaluation Output: Score: 0 Explanation: The response mentions the fear but is nonsensical

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T01:06:11.405653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.341552Z digest=sha256:5989e2ac3f8ac08567667f3f63f89a274835a59959b3794c6c303ced0e46b7e1

Observation 71c23515-f9b8-43a4-b66c-f4dbf54a58c5 · outbound

This paper cites First data are randomly grouped into pairs ( a(i), a(j)) where a(i) ∈ S0 and a(j) ∈ S1.

Toward universal steering and monitoring of AI models First data are randomly grouped into pairs ( a(i), a(j)) where a(i) ∈ S0 and a(j) ∈ S1

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T01:06:11.395121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.345355Z digest=sha256:b783e3ddc4376c75040a7c671afe958a77bb4d34faf5a1d632ad6321d56be170

Observation 4d0202cd-5960-4ec8-8ae1-9c8d2d701ffe · outbound

This paper cites The concept vector v (prior to orientation using Pearson correlation) is given as: v = 1 |S1| X a∈S1 a − 1 |S0| X a′∈S0 a′.

Toward universal steering and monitoring of AI models The concept vector v (prior to orientation using Pearson correlation) is given as: v = 1 |S1| X a∈S1 a − 1 |S0| X a′∈S0 a′

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T01:06:11.384791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.348779Z digest=sha256:df105071281a30129a19430ff0c91b118371fe1e76a1f2b41cd24c2c7f46243f

Observation 5b7f6579-7168-45db-9d4f-fa11180e44bd · outbound

This paper cites liblinear.

Toward universal steering and monitoring of AI models liblinear

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T01:06:11.374471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.352200Z digest=sha256:f5026664b38892ef4cb9446bda496fabc039d5284d5f31ea5649141f04401633

Observation d2204d44-08c7-4b93-a8ec-38ff54f90784 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-09T01:06:11.364349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.355742Z digest=sha256:39491512f99139c9e8dc55bf3e4ae04d648afb1395a7894944d146032ed66040

Observation 5b0ddcac-a863-4920-acb6-bf20591bca4a · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-09T01:06:11.354264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.359157Z digest=sha256:79df15b0093d5f072495758b4ce23949a597bfab5d5614b534c66dacbe9fb43c

Observation f5bd491a-fba1-444f-a8f7-2b0fa889e14a · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-08-09T01:06:11.344015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.362886Z digest=sha256:6748495ecd35156ff48677ee0434e351e50b4736a95c7304d44a0ade7472601a

Observation b1c650fd-0cc6-4dde-9996-b99f7420eb57 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-08-09T01:06:11.332828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.366322Z digest=sha256:089fc0097cab50dd2441a96e15e36b4225a383ff2e859f14e87fc1d5042a1ddb

Observation 54a34785-f039-40a0-872a-3a5be68d2259 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 101

Resolution
unresolved
raw_fallback, observed 2026-08-09T01:06:11.322502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.369785Z digest=sha256:c32257e6b1936b62e6a7e882dd542c2897451876bc167c89459f13fdb325dcb9

Observation 9c090ff2-dd1d-452f-bafe-f823207fb9d8 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 102

Resolution
unresolved
raw_fallback, observed 2026-08-09T01:06:11.312302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.373245Z digest=sha256:7635c21be4b3769e73b083f6476ff0ea37e1d2ea791f0b69999a7d52b4a41d26

Observation d25a02d9-1f81-40a1-a1d9-194a4adcf145 · outbound

This paper cites an unresolved cited work.

Toward universal steering and monitoring of AI models Unresolved cited work

Reference 103

Resolution
unresolved
raw_fallback, observed 2026-08-09T01:06:11.301547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T01:06:10.376745Z digest=sha256:7dcf5e554e2877ec32d4b81e7a20535e5f9896d4ce6a52aab61ff0f5beb49702

Pith citing papers

Observation a07c02d3-86f8-4ddc-a234-f26edc18ed46 · inbound

Resa: Transparent Reasoning Models via SAEs cites this paper.

Resa: Transparent Reasoning Models via SAEs Toward universal steering and monitoring of AI models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:45:42.691479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:45:42.691479Z digest=sha256:9ea2fb88c98397140a6368ad850464cccb76ad3a19081d71f3156cb42d899811

Observation 72763c8e-e5cf-4e8f-9e15-48f13c44e7d0 · inbound

The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations cites this paper.

The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations Toward universal steering and monitoring of AI models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T19:31:18.912515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:31:18.912515Z digest=sha256:0a800086e84cf6a74eda3a78bdbc46e95c98c41c4a029cbf14ef3f5b20930453

Observation 375ec137-643e-4a7e-8fc0-1e0298d8a21a · inbound

xRFM: Accurate, scalable, and interpretable feature learning models for tabular data cites this paper.

xRFM: Accurate, scalable, and interpretable feature learning models for tabular data Toward universal steering and monitoring of AI models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T23:11:53.937668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T23:07:26.869930Z digest=sha256:236f9826bbde36b33a5a0337b5082ae61eb632e3891de238b5dd083c2ae79c07

Observation bd418a8b-dd7b-449d-a04d-b71529e8a7f6 · inbound

Can LLMs Lie? Investigation beyond Hallucination cites this paper.

Can LLMs Lie? Investigation beyond Hallucination Toward universal steering and monitoring of AI models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T10:55:31.196148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:55:31.196148Z digest=sha256:180bac70ce1bf03f9bfd5c0f8e9a21bbaf0efb0d8979ae2a844ef165afb9ba03

Observation 1f94177a-cf88-476d-8e00-537d3b51ac7e · inbound

From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents cites this paper.

From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents Toward universal steering and monitoring of AI models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:33:10.418094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T22:33:07.363903Z digest=sha256:ab63a1510c321cf1e85f91a5b36f557ddc57210d48e522341f91f605f495985b

Observation c333f1d8-e01b-441b-a5aa-b6301ee9fbb5 · inbound

Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety Detection cites this paper.

Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety Detection Toward universal steering and monitoring of AI models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:03:29.910475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T13:53:27.306664Z digest=sha256:82a0a153c84e7318002530671fb171a5edbfd03c4c47d7766caddebc73b7127a

Observation 04d420b4-6eaa-4b4d-852c-80852e9f932d · inbound

K-Inverse-RFM: A Modified RFM that Bridges the Gap to Neural Networks for Data-Corrupted Mathematical Tasks cites this paper.

K-Inverse-RFM: A Modified RFM that Bridges the Gap to Neural Networks for Data-Corrupted Mathematical Tasks Toward universal steering and monitoring of AI models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:07:08.192626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T16:07:05.189001Z digest=sha256:0bdab29524b2354f3b8e1a5a072f5821aedbcd3db41782424d9112f7b0b0014a