Paper Citation Record · LEDGER

Blink of an eye: a simple theory for feature localization in generative models

As of 10 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 3 inbound Pith citation observations for arXiv:2502.00921.

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

pith.paper-citation-record.v1
2502.00921 v2

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:24:11.902023Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:17:08.488565Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:23:15.535996Z

Reference resolution

78 of 78 outbound references displayed

verified exact0
verified fuzzy46
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a5577b7-e6c2-4ccb-96cb-8aba0d2faeca · outbound

This paper cites write newline.

Blink of an eye: a simple theory for feature localization in generative models write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.681984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d83c6fef-2e69-4c18-95b6-63949f621523 · outbound

This paper cites Hewett, Mojan Javaheripi, Piero Kauffmann, James R.

Blink of an eye: a simple theory for feature localization in generative models Hewett, Mojan Javaheripi, Piero Kauffmann, James R

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.686137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 120bcc34-312f-432a-a221-3ece191ad0d8 · outbound

This paper cites Bowman, Ethan Perez, Roger Grosse, and David Duvenaud.

Blink of an eye: a simple theory for feature localization in generative models Bowman, Ethan Perez, Roger Grosse, and David Duvenaud

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.648948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a99b7af0-854f-4c80-ad78-5354ee634252 · outbound

This paper cites an unresolved cited work.

Blink of an eye: a simple theory for feature localization in generative models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:24:12.639969Z

Source-reported events for the cited work

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Observation 2e36e8ce-7c08-4d68-ba07-1d39cbe15c50 · outbound

This paper cites Detecting language model attacks with perplexity, 2023.

Blink of an eye: a simple theory for feature localization in generative models Detecting language model attacks with perplexity, 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.631823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a2266e1-e519-4dcd-b70c-ef05104c016d · outbound

This paper cites A latent variable model approach to pmi-based word embeddings, 2019.

Blink of an eye: a simple theory for feature localization in generative models A latent variable model approach to pmi-based word embeddings, 2019

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.623186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d33ca097-9b9f-4039-bd60-821d2a3978dd · outbound

This paper cites Sampling from mean-field gibbs measures via diffusion processes.

Blink of an eye: a simple theory for feature localization in generative models Sampling from mean-field gibbs measures via diffusion processes

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.704637Z

Source-reported events for the cited work

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Observation 49e99d7f-e9df-4652-89fa-20f23e5eaac5 · outbound

This paper cites Developing a computer use model.

Blink of an eye: a simple theory for feature localization in generative models Developing a computer use model

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.614721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20dc23ef-6033-443e-90e0-035b3b609956 · outbound

This paper cites What learning algorithm is in-context learning? investigations with linear models, 2023.

Blink of an eye: a simple theory for feature localization in generative models What learning algorithm is in-context learning? investigations with linear models, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.606886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b97ea06f-a535-42f3-b253-3568426fcb59 · outbound

This paper cites Dynamical regimes of diffusion models, 2024.

Blink of an eye: a simple theory for feature localization in generative models Dynamical regimes of diffusion models, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.712769Z

Source-reported events for the cited work

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Observation cf195113-33b2-4b6e-b7b7-4dbf7077061e · outbound

This paper cites All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation, 2020.

Blink of an eye: a simple theory for feature localization in generative models All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation, 2020

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.594480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d2face5-4c19-4e57-b32e-7c4811f6d338 · outbound

This paper cites Obfuscated activations bypass llm latent-space defenses, 2024.

Blink of an eye: a simple theory for feature localization in generative models Obfuscated activations bypass llm latent-space defenses, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.586882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e9d6d89-1b2e-40b9-92e7-8deda222ea65 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Blink of an eye: a simple theory for feature localization in generative models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.720131Z

Source-reported events for the cited work

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Observation 8d60e44a-71ed-4005-9159-daca5360e1c9 · outbound

This paper cites Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions.

Blink of an eye: a simple theory for feature localization in generative models Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.722926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 482d477a-6afa-44f4-8a6f-731561d03155 · outbound

This paper cites Localization schemes: A framework for proving mixing bounds for markov chains.

Blink of an eye: a simple theory for feature localization in generative models Localization schemes: A framework for proving mixing bounds for markov chains

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.574333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd3fda38-e54e-4193-aa2e-24a9834fc519 · outbound

This paper cites Perception prioritized training of diffusion models.

Blink of an eye: a simple theory for feature localization in generative models Perception prioritized training of diffusion models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.565341Z

Source-reported events for the cited work

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Observation dd220526-fc9a-4729-93eb-36bd2dc1f08c · outbound

This paper cites Statistical and computational phase transitions in group testing.

Blink of an eye: a simple theory for feature localization in generative models Statistical and computational phase transitions in group testing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.556832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 93db60c4-e4fa-4d51-b3f2-10644f53e25c · outbound

This paper cites Pappas, and Eric Wong.

Blink of an eye: a simple theory for feature localization in generative models Pappas, and Eric Wong

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.732973Z

Source-reported events for the cited work

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Observation 0d4fbcbd-bd83-413f-99a5-7b763fef86ba · outbound

This paper cites Enhancing chat language models by scaling high-quality instructional conversations, 2023.

Blink of an eye: a simple theory for feature localization in generative models Enhancing chat language models by scaling high-quality instructional conversations, 2023

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.735694Z

Source-reported events for the cited work

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Observation 0b0a922d-73d4-42ff-8464-2f9dd4246aa4 · outbound

This paper cites A survey on in-context learning, 2024.

Blink of an eye: a simple theory for feature localization in generative models A survey on in-context learning, 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.538973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3067cf69-dc0f-4721-baa9-e23d22466c93 · outbound

This paper cites Sampling from the sherrington-kirkpatrick gibbs measure via algorithmic stochastic localization.

Blink of an eye: a simple theory for feature localization in generative models Sampling from the sherrington-kirkpatrick gibbs measure via algorithmic stochastic localization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.530615Z

Source-reported events for the cited work

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Observation 85451a82-3db5-41e3-befa-fb63697de435 · outbound

This paper cites Thin shell implies spectral gap up to polylog via a stochastic localization scheme.

Blink of an eye: a simple theory for feature localization in generative models Thin shell implies spectral gap up to polylog via a stochastic localization scheme

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.744086Z

Source-reported events for the cited work

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Observation d79d0de3-6c0a-4e3e-85f4-b94516a7f436 · outbound

This paper cites Taming correlations through entropy-efficient measure decompositions with applications to mean-field approximation.

Blink of an eye: a simple theory for feature localization in generative models Taming correlations through entropy-efficient measure decompositions with applications to mean-field approximation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.517269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ae55a7f5-0067-455d-b03a-4ea9048e5800 · outbound

This paper cites Challenges and solutions for aging adults.

Blink of an eye: a simple theory for feature localization in generative models Challenges and solutions for aging adults

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.508527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 10206448-b0f3-40d3-be7d-cd1e6c97b1b8 · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

Blink of an eye: a simple theory for feature localization in generative models Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.752108Z

Source-reported events for the cited work

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Observation a4ca4028-ccc3-4c6a-8389-4ebdaa03b47b · outbound

This paper cites Jailbroken llama-3.1-8b-instruct via lora.

Blink of an eye: a simple theory for feature localization in generative models Jailbroken llama-3.1-8b-instruct via lora

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.494868Z

Source-reported events for the cited work

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Observation 1f84dff9-1a37-4623-bbf1-b69027eda0f9 · outbound

This paper cites What can transformers learn in-context? a case study of simple function classes, 2023.

Blink of an eye: a simple theory for feature localization in generative models What can transformers learn in-context? a case study of simple function classes, 2023

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.486219Z

Source-reported events for the cited work

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Observation 412aeec0-754e-49e1-98f3-bfe8bbf2461a · outbound

This paper cites The Journey, Not the Destination: How Data Guides Diffusion Models.

Blink of an eye: a simple theory for feature localization in generative models The Journey, Not the Destination: How Data Guides Diffusion Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.760518Z

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Observation 877e0d10-f216-450b-82a4-98b9e560333e · outbound

This paper cites High-dimensional regression with binary coefficients.

Blink of an eye: a simple theory for feature localization in generative models High-dimensional regression with binary coefficients

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.477774Z

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Observation 9cd6b2d9-dc69-46f8-8720-fbd38f451d86 · outbound

This paper cites Automated multi-turn red-teaming with cascade.

Blink of an eye: a simple theory for feature localization in generative models Automated multi-turn red-teaming with cascade

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.469419Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 25cdb73c-b46c-4a14-8158-4e23b3afc010 · outbound

This paper cites A trivial jailbreak against llama 3.

Blink of an eye: a simple theory for feature localization in generative models A trivial jailbreak against llama 3

Reference 31

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Observation 383c3c3d-8e79-422c-99a0-8017a298d03e · outbound

This paper cites Measuring massive multitask language understanding.

Blink of an eye: a simple theory for feature localization in generative models Measuring massive multitask language understanding

Reference 32

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Observation 3577773d-698d-46c7-a191-b9dae86e98ba · outbound

This paper cites Measuring mathematical problem solving with the math dataset, 2021.

Blink of an eye: a simple theory for feature localization in generative models Measuring mathematical problem solving with the math dataset, 2021

Reference 33

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Source-reported events for the cited work

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Observation 394f67e0-f40e-48a6-a863-73be317a3418 · outbound

This paper cites Denoising diffusion probabilistic models.

Blink of an eye: a simple theory for feature localization in generative models Denoising diffusion probabilistic models

Reference 34

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Observation d3db88fd-5b77-4d52-96b0-4c68df069c63 · outbound

This paper cites Sampling from Spherical Spin Glasses in Total Variation via Algorithmic Stochastic Localization.

Blink of an eye: a simple theory for feature localization in generative models Sampling from Spherical Spin Glasses in Total Variation via Algorithmic Stochastic Localization

Reference 35

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Observation f44126c2-0828-4cfd-90bc-9325cdd5622c · outbound

This paper cites What is in your safe data? identifying benign data that breaks safety, 2024.

Blink of an eye: a simple theory for feature localization in generative models What is in your safe data? identifying benign data that breaks safety, 2024

Reference 36

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This paper cites Critical windows: non-asymptotic theory for feature emergence in diffusion models, 2024.

Blink of an eye: a simple theory for feature localization in generative models Critical windows: non-asymptotic theory for feature emergence in diffusion models, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.433762Z

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Observation 186f3146-a492-44af-8fc0-944a2150a58b · outbound

This paper cites Logiqa: A challenge dataset for machine reading comprehension with logical reasoning.

Blink of an eye: a simple theory for feature localization in generative models Logiqa: A challenge dataset for machine reading comprehension with logical reasoning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.425712Z

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Observation bdf96811-fb91-408d-96f0-1429dc0004e3 · outbound

This paper cites Bowman, and Ethan Perez.

Blink of an eye: a simple theory for feature localization in generative models Bowman, and Ethan Perez

Reference 39

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Source-reported events for the cited work

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Observation d23980a9-654d-4b81-bd2f-91d8e82e8d1e · outbound

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Blink of an eye: a simple theory for feature localization in generative models T ruthful QA : Measuring how models mimic human falsehoods

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.409932Z

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Observation df27fb41-8df9-4375-bea2-ec7f309f50a6 · outbound

This paper cites Llm defenses are not robust to multi-turn human jailbreaks yet, 2024.

Blink of an eye: a simple theory for feature localization in generative models Llm defenses are not robust to multi-turn human jailbreaks yet, 2024

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.401599Z

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Observation 15d0033f-eb3f-4580-b190-59adc0083c36 · outbound

This paper cites Let's Verify Step by Step.

Blink of an eye: a simple theory for feature localization in generative models Let's Verify Step by Step

Reference 42

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Observation bd02eda6-9167-4064-b3c4-1f1bb88d2354 · outbound

This paper cites Critical tokens matter: Token-level contrastive estimation enhances llm's reasoning capability, 2024.

Blink of an eye: a simple theory for feature localization in generative models Critical tokens matter: Token-level contrastive estimation enhances llm's reasoning capability, 2024

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.393106Z

Source-reported events for the cited work

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Observation 3c0fbfa5-8ab3-4b0d-b183-96d2b55697dd · outbound

This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution, 2024.

Blink of an eye: a simple theory for feature localization in generative models Discrete diffusion modeling by estimating the ratios of the data distribution, 2024

Reference 44

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This paper cites The unlocking spell on base llms: Rethinking alignment via in-context learning, 2023.

Blink of an eye: a simple theory for feature localization in generative models The unlocking spell on base llms: Rethinking alignment via in-context learning, 2023

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.379020Z

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Observation de52219b-aa6c-4409-90be-ab397d0cce23 · outbound

This paper cites Autodan: Generating stealthy jailbreak prompts on aligned large language models.

Blink of an eye: a simple theory for feature localization in generative models Autodan: Generating stealthy jailbreak prompts on aligned large language models

Reference 46

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Observation 433a2a3d-a378-417f-b86f-6cb27ff5adda · outbound

This paper cites Program induction by rationale generation: Learning to solve and explain algebraic word problems.

Blink of an eye: a simple theory for feature localization in generative models Program induction by rationale generation: Learning to solve and explain algebraic word problems

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.365070Z

Source-reported events for the cited work

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Observation 1acfa36a-0ce0-41ed-ad79-4ade90099fc1 · outbound

This paper cites SDE dit: Guided image synthesis and editing with stochastic differential equations.

Blink of an eye: a simple theory for feature localization in generative models SDE dit: Guided image synthesis and editing with stochastic differential equations

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.356476Z

Source-reported events for the cited work

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Observation 0bd4125f-203f-4f66-a1e0-20b8af8376d2 · outbound

This paper cites Sharp thresholds in inference of planted subgraphs.

Blink of an eye: a simple theory for feature localization in generative models Sharp thresholds in inference of planted subgraphs

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.347848Z

Source-reported events for the cited work

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Observation 39cd1612-30e9-48c8-a7e9-030bfe2d9dfc · outbound

This paper cites Sampling, diffusions, and stochastic localization, 2023.

Blink of an eye: a simple theory for feature localization in generative models Sampling, diffusions, and stochastic localization, 2023

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.339284Z

Source-reported events for the cited work

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Observation 46320d9a-8fac-4929-b6a0-61c787c6041f · outbound

This paper cites Sampling, Diffusions, and Stochastic Localization.

Blink of an eye: a simple theory for feature localization in generative models Sampling, Diffusions, and Stochastic Localization

Reference 51

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Source-reported events for the cited work

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Observation 7c67a81c-a4d2-402a-bbaf-d3b794eb476a · outbound

This paper cites Posterior Sampling in High Dimension via Diffusion Processes.

Blink of an eye: a simple theory for feature localization in generative models Posterior Sampling in High Dimension via Diffusion Processes

Reference 52

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Observation bd1bcf6d-56ba-4f69-9622-4ede7a6e56f9 · outbound

This paper cites Feder Cooper, Daphne Ippolito, Christopher A.

Blink of an eye: a simple theory for feature localization in generative models Feder Cooper, Daphne Ippolito, Christopher A

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.329858Z

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Observation 28a4b80b-50e1-432c-8362-26fb9dd08d46 · outbound

This paper cites The all-or-nothing phenomenon in sparse tensor pca.

Blink of an eye: a simple theory for feature localization in generative models The all-or-nothing phenomenon in sparse tensor pca

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.833335Z

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Observation 75526bac-3f8d-4416-8e3e-e192d33d070c · outbound

This paper cites all" for.

Blink of an eye: a simple theory for feature localization in generative models all" for

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.316788Z

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Observation 385119ca-a482-4885-b209-e968b78438dd · outbound

This paper cites Detecting misbehavior in frontier reasoning models.

Blink of an eye: a simple theory for feature localization in generative models Detecting misbehavior in frontier reasoning models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.308349Z

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Observation d9ce5ff2-bbab-4095-8848-c2ac83354e34 · outbound

This paper cites How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model.

Blink of an eye: a simple theory for feature localization in generative models How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.841843Z

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Observation 7d2ed5d6-193b-4642-874c-805f319984ec · outbound

This paper cites Safety alignment should be made more than just a few tokens deep, 2024.

Blink of an eye: a simple theory for feature localization in generative models Safety alignment should be made more than just a few tokens deep, 2024

Reference 58

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Observation 1f243418-4427-4adc-8c48-e8f5cf2d253f · outbound

This paper cites Spontaneous symmetry breaking in generative diffusion models.

Blink of an eye: a simple theory for feature localization in generative models Spontaneous symmetry breaking in generative diffusion models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.295213Z

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Observation 40e4f97b-7a44-4f5c-b66c-34b751056996 · outbound

This paper cites Xstest: A test suite for identifying exaggerated safety behaviours in large language models, 2024.

Blink of an eye: a simple theory for feature localization in generative models Xstest: A test suite for identifying exaggerated safety behaviours in large language models, 2024

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.287699Z

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Observation 1362c609-728a-49e9-abfa-c2e91dc68e8c · outbound

This paper cites an unresolved cited work.

Blink of an eye: a simple theory for feature localization in generative models Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:24:12.280023Z

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Observation c2c020b1-adb3-45f7-83ec-e3e0e49b23db · outbound

This paper cites The all-or-nothing phenomenon in sparse linear regression, 2019.

Blink of an eye: a simple theory for feature localization in generative models The all-or-nothing phenomenon in sparse linear regression, 2019

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.271663Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b28cd867-3b2a-46f8-87f0-8de97ffbc148 · outbound

This paper cites Limits on support recovery with probabilistic models: An information-theoretic framework, 2016.

Blink of an eye: a simple theory for feature localization in generative models Limits on support recovery with probabilistic models: An information-theoretic framework, 2016

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.263161Z

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Observation 0614cf8f-1ca5-4c43-889f-4856828988ed · outbound

This paper cites Consistency models, 2023.

Blink of an eye: a simple theory for feature localization in generative models Consistency models, 2023

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.862137Z

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Observation 6640ee64-5ca1-44b5-8116-12103efdcf63 · outbound

This paper cites Probing the latent hierarchical structure of data via diffusion models, 2024.

Blink of an eye: a simple theory for feature localization in generative models Probing the latent hierarchical structure of data via diffusion models, 2024

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.249677Z

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Observation 9620af79-6629-4966-86c6-d2051bab6755 · outbound

This paper cites A phase transition in diffusion models reveals the hierarchical nature of data.

Blink of an eye: a simple theory for feature localization in generative models A phase transition in diffusion models reveals the hierarchical nature of data

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.241311Z

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Observation c9d0d132-68d4-4c1c-b1cf-0738bb62a0bb · outbound

This paper cites A strongreject for empty jailbreaks, 2024.

Blink of an eye: a simple theory for feature localization in generative models A strongreject for empty jailbreaks, 2024

Reference 67

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Observation 3a70c07d-8908-4c1f-8e56-4d71a4ce3544 · outbound

This paper cites Truong, Matthew Aldridge, and Jonathan Scarlett.

Blink of an eye: a simple theory for feature localization in generative models Truong, Matthew Aldridge, and Jonathan Scarlett

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.227940Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 83ec6b2b-efa1-48c1-8f04-8672c37b2814 · outbound

This paper cites Truong and Jonathan Scarlett.

Blink of an eye: a simple theory for feature localization in generative models Truong and Jonathan Scarlett

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.219523Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8916e26-711d-45b6-9504-9236c6e808bc · outbound

This paper cites High-Dimensional Probability: An Introduction with Applications in Data Science.

Blink of an eye: a simple theory for feature localization in generative models High-Dimensional Probability: An Introduction with Applications in Data Science

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.210893Z

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Observation 7a465399-d010-41d4-b5ad-eef450f56495 · outbound

This paper cites Probability in high dimension.

Blink of an eye: a simple theory for feature localization in generative models Probability in high dimension

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.202457Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4ca6d18-3448-4b6c-89ab-2338f9c030a7 · outbound

This paper cites Jailbroken: How does llm safety training fail?, 2023.

Blink of an eye: a simple theory for feature localization in generative models Jailbroken: How does llm safety training fail?, 2023

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.885221Z

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Observation cf06d57c-1de2-4199-a07a-7d63138ac6f8 · outbound

This paper cites An explanation of in-context learning as implicit bayesian inference, 2022.

Blink of an eye: a simple theory for feature localization in generative models An explanation of in-context learning as implicit bayesian inference, 2022

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.189035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d05a4d9-c008-433f-84f8-7caba52cc4d8 · outbound

This paper cites Improving alignment and robustness with circuit breakers, 2024.

Blink of an eye: a simple theory for feature localization in generative models Improving alignment and robustness with circuit breakers, 2024

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.890786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1549d94f-105e-4cd5-b79a-c4c1fdceb0dd · outbound

This paper cites Dissecting learning and forgetting in language model finetuning.

Blink of an eye: a simple theory for feature localization in generative models Dissecting learning and forgetting in language model finetuning

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.175426Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f322cab-488f-488e-b881-8b41901732f0 · outbound

This paper cites Zico Kolter, and Matt Fredrikson.

Blink of an eye: a simple theory for feature localization in generative models Zico Kolter, and Matt Fredrikson

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.896530Z

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Observation 7dd7ee97-dca3-4c7c-9569-8d6c3263f1c6 · outbound

This paper cites Adversarial contrastive decoding: Boosting safety alignment of large language models via opposite prompt optimization, 2024.

Blink of an eye: a simple theory for feature localization in generative models Adversarial contrastive decoding: Boosting safety alignment of large language models via opposite prompt optimization, 2024

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:24:12.162449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f58e154-178b-4b42-83f1-9b8121a40693 · outbound

This paper cites What and how does in-context learning learn? bayesian model averaging, parameterization, and generalization, 2023.

Blink of an eye: a simple theory for feature localization in generative models What and how does in-context learning learn? bayesian model averaging, parameterization, and generalization, 2023

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.902023Z

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Pith citing papers

Observation 65701a81-16e9-429d-843e-b9d5485afa2e · inbound

An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models cites this paper.

An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models Blink of an eye: a simple theory for feature localization in generative models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:42:23.081456Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0a0b034-93d7-40cd-8e47-b6be1e72b539 · inbound

Local Diffusion Models and Phases of Data Distributions cites this paper.

Local Diffusion Models and Phases of Data Distributions Blink of an eye: a simple theory for feature localization in generative models

Reference 25

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Observation 0ac00c07-cb6f-4e10-bfaa-9108a038a047 · inbound

Reasoning with Sampling: Cutting at Decision Points cites this paper.

Reasoning with Sampling: Cutting at Decision Points Blink of an eye: a simple theory for feature localization in generative models

Reference 2

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.