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Paper Citation Record · LEDGER

Command-V: Pasting LLM Behaviors via Activation Profiles

As of 19 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2506.19140.

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

pith.paper-citation-record.v1
2506.19140 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:42:46.050385Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T02:10:14.721584Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:13:30.672671Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c587ca9-1b95-45ad-98ef-d4ba19499ba2 · outbound

This paper cites Phi-4 Technical Report.

Command-V: Pasting LLM Behaviors via Activation Profiles Phi-4 Technical Report

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:42:45.817263Z digest=sha256:ef33b95f8d7940798819ce321c3e70e1ce8fa74f3998190e075624bada4186ee

Observation c49a72b7-9309-4ccb-aec2-bdd4f6bdeec5 · outbound

This paper cites Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions.

Command-V: Pasting LLM Behaviors via Activation Profiles Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions

Reference 2

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source=arxiv_source observed=2026-08-15T18:42:45.822439Z digest=sha256:7558c72929326d9f559e590659e0c2db69f4cde701620d3eb3f8ffd8fd8202f8

Observation d20a6dbc-4245-4492-b7b0-2aa37c4270ad · outbound

This paper cites Buciluǎ, R.

Command-V: Pasting LLM Behaviors via Activation Profiles Buciluǎ, R

Reference 3

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source=arxiv_source observed=2026-08-15T18:42:45.827774Z digest=sha256:f2961993cd429f9d07f4d8744b2ae1d01fd7d41c0dd83404766adfdd1c2a2e43

Observation ecf8b526-b39d-4af9-8b87-45388c2b4d96 · outbound

This paper cites Carlini, M.

Command-V: Pasting LLM Behaviors via Activation Profiles Carlini, M

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.832407Z digest=sha256:63095bb50e6c4ef66a107265f3a1c658b1c73db2f06479bf7f010488941bbbe3

Observation 92ef8158-5f10-4fc5-9080-2edf1fd5f2f1 · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

Command-V: Pasting LLM Behaviors via Activation Profiles Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 5

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source=arxiv_source observed=2026-08-15T18:42:45.836758Z digest=sha256:781639da5628ed2efbd922a04a29d5f5644f7a397541e41d9b17a0fa6f569075

Observation 1cd77978-90d2-4f48-a145-f2148c0cfd7a · outbound

This paper cites an unresolved cited work.

Command-V: Pasting LLM Behaviors via Activation Profiles Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.842190Z digest=sha256:7e4695de55bdfa7ed3a0420464fab00ba9c4ce1001e6ca2d75734cf684dd72b0

Observation e6a40af9-e1c5-42bd-935c-67a4fc26e800 · outbound

This paper cites Scaling and evaluating sparse autoencoders.

Command-V: Pasting LLM Behaviors via Activation Profiles Scaling and evaluating sparse autoencoders

Reference 7

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source=arxiv_source observed=2026-08-15T18:42:45.847138Z digest=sha256:630e967ab5f7b21f0948e2d6a0826eb36dd446031c1dc55ac86638a70d17aed6

Observation 88be3406-7f3e-4428-8392-c645e336aadc · outbound

This paper cites The Llama 3 Herd of Models.

Command-V: Pasting LLM Behaviors via Activation Profiles The Llama 3 Herd of Models

Reference 8

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source=arxiv_source observed=2026-08-15T18:42:45.852024Z digest=sha256:70f0dbba02478289cf6d6d3df4b702332710548dd6072d22d41b0d4ae13cfd4d

Observation 906a4ac8-d20e-4564-8167-d77013d950db · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Command-V: Pasting LLM Behaviors via Activation Profiles DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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source=arxiv_source observed=2026-08-15T18:42:45.856244Z digest=sha256:23c61174d12684799848b641dc5057eb33caed737a06288b2370288c62add17d

Observation e631af0a-d24f-4eed-8985-d4f95811548e · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Command-V: Pasting LLM Behaviors via Activation Profiles Distilling the Knowledge in a Neural Network

Reference 10

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source=arxiv_source observed=2026-08-15T18:42:45.861094Z digest=sha256:e428481ce060d4e09f703f713a379fadae6013a994b32912bd3602a4bbe0b661

Observation 68019cff-b344-4ae7-96d2-ba2b0dbadf25 · outbound

This paper cites Houlsby, A.

Command-V: Pasting LLM Behaviors via Activation Profiles Houlsby, A

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.865875Z digest=sha256:6d605d8f7dcdcfc3bed05dce7bda2a7a2755519a71bef67ec9b1b34a251008ef

Observation 1f7e0ecb-1808-4387-8f6e-204c36b1047a · outbound

This paper cites an unresolved cited work.

Command-V: Pasting LLM Behaviors via Activation Profiles Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.870455Z digest=sha256:6b6cd579c3b4f5ff19fcb6df9ed04c87a553895b5f615e0fb79c1e57d09051a3

Observation bff552d0-c083-420b-8c34-79cf01c971a4 · outbound

This paper cites an unresolved cited work.

Command-V: Pasting LLM Behaviors via Activation Profiles Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-15T18:42:45.874982Z digest=sha256:a5ef88f68557f0a89eef8f0b1b1201c6c8107702544e372c6091e508c5aca15f

Observation 054b59ac-9620-4b7c-a945-da8b7103d6c2 · outbound

This paper cites Editing Models with Task Arithmetic.

Command-V: Pasting LLM Behaviors via Activation Profiles Editing Models with Task Arithmetic

Reference 14

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source=arxiv_source observed=2026-08-15T18:42:45.879383Z digest=sha256:2b1ad06f3627f7a5edacd383a482ec5549bb77b3d7a216b612ceccee806c1316

Observation 94a41063-3bf0-4b3a-a6e1-e69731ec0877 · outbound

This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

Command-V: Pasting LLM Behaviors via Activation Profiles Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 15

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source=arxiv_source observed=2026-08-15T18:42:45.883680Z digest=sha256:2dbf62354e277fc317599f36c8d1d20fa5387381fe7a515a990c2a43afe2599d

Observation 092b738f-167e-46c4-81db-5a97bdd5d66e · outbound

This paper cites an unresolved cited work.

Command-V: Pasting LLM Behaviors via Activation Profiles Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.887930Z digest=sha256:4a887dc302df6d400582057a2c18ba7ae5f0124e5896d4bc3863c3c43395ffda

Observation e8221f5c-e7d1-4957-a549-e6719a04819e · outbound

This paper cites Jiang, K.

Command-V: Pasting LLM Behaviors via Activation Profiles Jiang, K

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.892335Z digest=sha256:1349c9d1f5ee2cb5d24723d3ac625d60005290077a15eae591db0ccdeeb88f02

Observation edefe069-fe65-4a2c-af97-473a3536e902 · outbound

This paper cites Kojima, S.

Command-V: Pasting LLM Behaviors via Activation Profiles Kojima, S

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.896533Z digest=sha256:4b76af8de7f4415caf9f18037cceb1cde96a3fccd0de10b913843241388efd47

Observation b08647e0-559e-4c56-8666-7c9c40d4318e · outbound

This paper cites Style Vectors for Steering Generative Large Language Model.

Command-V: Pasting LLM Behaviors via Activation Profiles Style Vectors for Steering Generative Large Language Model

Reference 19

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source=arxiv_source observed=2026-08-15T18:42:45.900998Z digest=sha256:44b825547c17b665a9943c3704c45b9dffa08ab0bc5f7a0393e3beea73ee5b22

Observation 0ddcfd86-4a1d-416f-b782-1288851b47a6 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Command-V: Pasting LLM Behaviors via Activation Profiles Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 20

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source=arxiv_source observed=2026-08-15T18:42:45.905318Z digest=sha256:b8379e28bffaa5813c3741db28af70c3f364c5f9fe86b22fba8f79d21e142c8c

Observation e95439ae-6bfc-40cc-8793-e464a35a1503 · outbound

This paper cites an unresolved cited work.

Command-V: Pasting LLM Behaviors via Activation Profiles Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.909733Z digest=sha256:301d7becdfb3d86407bae9d13559fbb9996cde8335268db6c4cd456d5df15c7a

Observation 6ac02879-e8c0-43be-b0ae-a973a3f1542c · outbound

This paper cites TOFU: A Task of Fictitious Unlearning for LLMs.

Command-V: Pasting LLM Behaviors via Activation Profiles TOFU: A Task of Fictitious Unlearning for LLMs

Reference 22

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source=arxiv_source observed=2026-08-15T18:42:45.914293Z digest=sha256:b4baef52316d9f4ae06af6838b7d941c9b55f9a88c978f930dc9f860f0d9eab0

Observation 6ec09531-fed1-4456-8a9b-4c2038642c3b · outbound

This paper cites an unresolved cited work.

Command-V: Pasting LLM Behaviors via Activation Profiles Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.918850Z digest=sha256:bf3c255adab51bbad60e784d4c6bddfaa33a8aa8e54a6b5d50e1b0acb600174f

Observation 1d236dc8-2a1f-4660-88a9-f4772e85079d · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

Command-V: Pasting LLM Behaviors via Activation Profiles HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 24

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source=arxiv_source observed=2026-08-15T18:42:45.923291Z digest=sha256:14a8771669fdb63cffa98035ac4e3b8a0c6f7851d9ecc7517be34e33fa53d829

Observation 77c2b7a6-7a6c-46ca-ad3e-a9c2291b2822 · outbound

This paper cites an unresolved cited work.

Command-V: Pasting LLM Behaviors via Activation Profiles Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.928030Z digest=sha256:7d5283579c66ea5ed014b15d688b5c0c918c1eed8048686fdf8a4cd53d406b7c

Observation 6005ff2e-5857-476a-8dcb-8b1fe4c5033f · outbound

This paper cites Mass-Editing Memory in a Transformer.

Command-V: Pasting LLM Behaviors via Activation Profiles Mass-Editing Memory in a Transformer

Reference 26

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source=arxiv_source observed=2026-08-15T18:42:45.932271Z digest=sha256:b9db6a074f9fe66c861b64f183f90c92e5cf0246a99755474c9a59c3f01bf4d1

Observation 9b05e474-9d1f-479f-995a-c2568d3338f6 · outbound

This paper cites AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset.

Command-V: Pasting LLM Behaviors via Activation Profiles AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset

Reference 27

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source=arxiv_source observed=2026-08-15T18:42:45.938241Z digest=sha256:e751ab0900479a4c69c7dd1311cf1e4fd4f8aac0498704b11cfb99749d5f8ed4

Observation 57095482-851a-4e4f-a48f-3766dd97f223 · outbound

This paper cites 2 OLMo 2 Furious.

Command-V: Pasting LLM Behaviors via Activation Profiles 2 OLMo 2 Furious

Reference 28

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source=arxiv_source observed=2026-08-15T18:42:45.943588Z digest=sha256:423cd1a549132d6834c59f94b2b53920438f2283eed0dcfa7105b0bc7189f099

Observation 0668b75d-7b17-4d0f-bd17-2a9aabf53e72 · outbound

This paper cites Learning to Reason with LLMs.

Command-V: Pasting LLM Behaviors via Activation Profiles Learning to Reason with LLMs

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.948447Z digest=sha256:c193e69b143b2ab53c762e038edc75ac69ab9e3b2c89d8f2780bcee0f6cb8d0e

Observation bafb89fb-9ed2-4140-b4d8-fb9bfe83330a · outbound

This paper cites Perez, S.

Command-V: Pasting LLM Behaviors via Activation Profiles Perez, S

Reference 30

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source=arxiv_source observed=2026-08-15T18:42:45.953050Z digest=sha256:98783d4c85b33d86be435b011d556c409aaafcbf8bca053db9d8c8aaf0ab0f58

Observation f5c7e3eb-c4ff-4df0-8ce0-64fc009011a4 · outbound

This paper cites Rimsky, N.

Command-V: Pasting LLM Behaviors via Activation Profiles Rimsky, N

Reference 31

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source=arxiv_source observed=2026-08-15T18:42:45.957607Z digest=sha256:65c49b7425e4d2ad385a12c96945d273ccd674a2315e88cf7ed8c10b831dcb20

Observation 505b79da-bdee-4fee-bd52-cdd2d6441741 · outbound

This paper cites SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks.

Command-V: Pasting LLM Behaviors via Activation Profiles SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Reference 32

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source=arxiv_source observed=2026-08-15T18:42:45.962022Z digest=sha256:8603547da9db4ad18d9460218bcd7bcae7f6e7fece20118c80e658aa6686ac04

Observation a69ab769-be77-4aff-bf0a-0ed5f8c12ef2 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Command-V: Pasting LLM Behaviors via Activation Profiles FitNets: Hints for Thin Deep Nets

Reference 33

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source=arxiv_source observed=2026-08-15T18:42:45.966539Z digest=sha256:a7a8db3114327591a520d68895036bd0d612250d0edabf73968c8d7bb7d46ea2

Observation ffdca3c9-5e10-41f3-84fb-e4a9cef86f18 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Command-V: Pasting LLM Behaviors via Activation Profiles DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 34

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source=arxiv_source observed=2026-08-15T18:42:45.971245Z digest=sha256:de8aadf4164c36cfe65628d93ee3444d694316037084447c482ef2228b54df08

Observation 0edb1c88-31fd-42a0-819d-490379accddd · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Command-V: Pasting LLM Behaviors via Activation Profiles Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 35

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source=arxiv_source observed=2026-08-15T18:42:45.976101Z digest=sha256:b86de2f6269684a0ea96586f9ae798ae1e194fd755053c2ce2e71279dc0199c6

Observation 80c7f588-45d4-4e69-89bd-319f14379e48 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Command-V: Pasting LLM Behaviors via Activation Profiles Gemma 2: Improving Open Language Models at a Practical Size

Reference 36

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source=arxiv_source observed=2026-08-15T18:42:45.981135Z digest=sha256:374c2ff3852d95105cbb9871918604f82556e96b5fdd06fc99a206730fc3e749

Observation b41cd8e8-26ce-4e8f-88a9-66bcf0f57e2f · outbound

This paper cites Tenney, D.

Command-V: Pasting LLM Behaviors via Activation Profiles Tenney, D

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-15T18:42:46.747745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.985686Z digest=sha256:0fd2311af57223fa2ac0f9e58b487b4268050737a61f3f1a61e4f58ff7c8988e

Observation 6dfcfa2d-fa56-4494-be6d-48eb9d4ea6b7 · outbound

This paper cites What do you learn from context? Probing for sentence structure in contextualized word representations.

Command-V: Pasting LLM Behaviors via Activation Profiles What do you learn from context? Probing for sentence structure in contextualized word representations

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T18:42:45.990232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:42:45.990232Z digest=sha256:8c5847149d76ea41d5626327c63a1118e17d763753576117fa9e46914e7c0fb0

Observation 3bd14339-5094-4735-a8b4-8b3e0f33106c · outbound

This paper cites Trung, X.

Command-V: Pasting LLM Behaviors via Activation Profiles Trung, X

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:42:46.731991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.995076Z digest=sha256:e4a4cecb10edba60ea71c85df9c5fdcdedc9cf826498355df5fa66a892ba4f71

Observation 046252de-d7d4-411f-b5a2-db5ec14cef29 · outbound

This paper cites an unresolved cited work.

Command-V: Pasting LLM Behaviors via Activation Profiles Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:42:46.715505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:45.999395Z digest=sha256:9bd5f14c1be401951cb6210b8086d00b8578d17586eb6356fadb5c2db9b83e98

Observation 1861abe3-b471-4719-b510-8997f5e3cf9b · outbound

This paper cites Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs.

Command-V: Pasting LLM Behaviors via Activation Profiles Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T18:42:46.003597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:42:46.003597Z digest=sha256:03c472aecd5da39175816b8094cfe55ddf29d57c5da398488bbcbb3c74b0f5b1

Observation dea477c0-0bab-4c2f-9cbb-165dca6cd7dd · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Command-V: Pasting LLM Behaviors via Activation Profiles Finetuned Language Models Are Zero-Shot Learners

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T18:42:46.007913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:42:46.007913Z digest=sha256:7d9468bdd907a4f1721a499a255e38f37cf7b36a719c66a818d3e99a76fed8b8

Observation 7aa8c2cf-9e27-4a60-9273-469fa4d9b63e · outbound

This paper cites an unresolved cited work.

Command-V: Pasting LLM Behaviors via Activation Profiles Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:42:46.698335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:46.012704Z digest=sha256:26576881341b309023b0b4623ba093c62187d9fc93d5465d471ef9767a01d9d0

Observation cadec7ce-be3e-4d9a-8201-7c1c94a82a27 · outbound

This paper cites Wortsman, G.

Command-V: Pasting LLM Behaviors via Activation Profiles Wortsman, G

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:42:46.678512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:46.017225Z digest=sha256:a2c7019780f28eddd10cf81e35620c463dabebaf1ede63a6e14db17f50194bcc

Observation f9488a78-d625-4e56-af04-80c47285f40b · outbound

This paper cites an unresolved cited work.

Command-V: Pasting LLM Behaviors via Activation Profiles Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:42:46.661579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:46.021870Z digest=sha256:a3741323f248d257a67e2b7571c863f7f716c8c467c3a8b6a548d589ab20fcc1

Observation 2e54af8f-2509-4ce4-9de0-5bd5a58302b6 · outbound

This paper cites an unresolved cited work.

Command-V: Pasting LLM Behaviors via Activation Profiles Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:42:46.643355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:46.026416Z digest=sha256:b204b5225223eb3679dbb94dfa1cdc979188f2df4f7028ecda3474eb0b30ef16

Observation b72c03b3-ee38-428e-ab38-efbff8839a93 · outbound

This paper cites Yadav, D.

Command-V: Pasting LLM Behaviors via Activation Profiles Yadav, D

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:42:46.625324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:46.030728Z digest=sha256:c10eea0af86604bb312592896ab20aea387a8741fc5a614f3accb79d7b1787e2

Observation eebe479d-bc3b-47e4-b54f-1913f3e2886c · outbound

This paper cites Qwen2.5 Technical Report.

Command-V: Pasting LLM Behaviors via Activation Profiles Qwen2.5 Technical Report

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T18:42:46.035158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:42:46.035158Z digest=sha256:6db5a7981e478f1f23be2121ba7493bb27eb3221c5ac627b434e6dc5e8b1e2ec

Observation 2e9404b7-e80e-4ea5-8b2b-ae2d2143db4a · outbound

This paper cites an unresolved cited work.

Command-V: Pasting LLM Behaviors via Activation Profiles Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:42:46.608254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:42:46.040488Z digest=sha256:da56bd0eb1ac769d1156c6a2f48060cdb1ff1c3186302f41fac32cbefd7bdc65

Observation 2a11cffb-23d9-43ac-a08e-064b90b3cc44 · outbound

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

Command-V: Pasting LLM Behaviors via Activation Profiles Representation Engineering: A Top-Down Approach to AI Transparency

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T18:42:46.045272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:42:46.045272Z digest=sha256:74784dde259bb9bb40e3254dae35b41135db616875746b0335934907078809c7

Observation 8a252804-4627-4290-a04b-f5467124601c · outbound

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

Command-V: Pasting LLM Behaviors via Activation Profiles Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T18:42:46.050385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:42:46.050385Z digest=sha256:00f8b3bae8e4fd37f8521437cc8caa725f28b3dc0f9f2a81cf37ada916705994

Pith citing papers

Observation 37606a46-f20d-46c6-9781-3d25896c03fc · inbound

PreFT: Prefill-only finetuning for efficient inference cites this paper.

PreFT: Prefill-only finetuning for efficient inference Command-V: Pasting LLM Behaviors via Activation Profiles

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:13:30.675108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-15T02:10:14.721584Z digest=sha256:00939b3bc401d1c4451c7ee3b74fc2832d7466b5e05c5addbfc1461679459e5e