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Paper Citation Record · LEDGER

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms

As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.11472.

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

pith.paper-citation-record.v1
2607.11472 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T05:22:38.178336Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79155b0e-bb01-4475-8d51-fa941db63ea2 · outbound

This paper cites Optuna: A Next-generation Hyperparameter Optimization Framework.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Optuna: A Next-generation Hyperparameter Optimization Framework

Reference 1

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Observation b5adbfbf-bb81-4369-99d4-45d2ba406018 · outbound

This paper cites In: 2022 IEEE International Conference on Cyber Security and Resilience (CSR).

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms In: 2022 IEEE International Conference on Cyber Security and Resilience (CSR)

Reference 2

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 06614720-ac60-494e-af40-1418e054841e · outbound

This paper cites The Guardian22(2013).

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms The Guardian22(2013)

Reference 3

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Observation cc944bbc-18c5-45f9-9470-20dc52d883f1 · outbound

This paper cites PetaPixel, August (2014).

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms PetaPixel, August (2014)

Reference 4

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Observation e619d444-c898-4f21-9b9b-1bb54c944823 · outbound

This paper cites SocArXiv (2021).

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms SocArXiv (2021)

Reference 5

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Observation c8020b71-22fb-49c6-b029-b0637a71a6d6 · outbound

This paper cites Facebook Newsroom (2019).

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Facebook Newsroom (2019)

Reference 6

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Observation 8e6ed0dc-419c-4052-aeed-5448317601c8 · outbound

This paper cites In: 2009 IEEE Conference on Computer Vision and Pattern Recognition.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms In: 2009 IEEE Conference on Computer Vision and Pattern Recognition

Reference 7

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Observation 58c56d4f-cfaf-4607-b16e-aeb46ef580ea · outbound

This paper cites Adversarial collision attacks on image hashing functions.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Adversarial collision attacks on image hashing functions

Reference 8

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Observation a999821a-3f26-4ddb-ada3-839f443681d4 · outbound

This paper cites Journal of Online Trust and Safety 1(1) (2021).

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Journal of Online Trust and Safety 1(1) (2021)

Reference 9

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Observation d6366576-99f5-4620-9f90-d4fd79df5988 · outbound

This paper cites an unresolved cited work.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Unresolved cited work

Reference 10

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Observation e3236508-8cb6-4f9c-a458-ed3fe77310c9 · outbound

This paper cites Simple Black-box Adversarial Attacks.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Simple Black-box Adversarial Attacks

Reference 11

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Observation f53c38d9-2ca8-4ccc-8a2e-a8243a1a56e9 · outbound

This paper cites In: Rudolph, S., Dau, F., Kuznetsov, S.O.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms In: Rudolph, S., Dau, F., Kuznetsov, S.O

Reference 12

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Observation 52ebf514-f1fa-4fe9-ab00-5afb93c39d02 · outbound

This paper cites Black-box Adversarial Attacks with Limited Queries and Information.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Black-box Adversarial Attacks with Limited Queries and Information

Reference 13

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Observation b29cf412-8250-45b5-b131-9f095eb94373 · outbound

This paper cites Retrieved from Microsoft News Center: https://news.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Retrieved from Microsoft News Center: https://news

Reference 14

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Observation 85d7e879-e34e-4979-877e-846b12abafba · outbound

This paper cites an unresolved cited work.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Unresolved cited work

Reference 15

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Observation c65525f4-cf80-45ed-9ff4-055b14783e6e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Adam: A Method for Stochastic Optimization

Reference 16

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Observation b77263a4-eb69-4eb9-972a-3deb9270a7cd · outbound

This paper cites an unresolved cited work.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Unresolved cited work

Reference 17

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Observation 8819d51a-1864-4d52-a9d5-f82bb2681b3d · outbound

This paper cites Cryptology ePrint Archive, Paper 2024/1869 (2024), https://eprint.iacr.org/2024/1869.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Cryptology ePrint Archive, Paper 2024/1869 (2024), https://eprint.iacr.org/2024/1869

Reference 18

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Observation b5da4af3-9810-4785-9c55-f93c43d55e34 · outbound

This paper cites In: International Conference on Learning Representations (2019), https://openreview.net/forum?id=BJe-DsC5Fm.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms In: International Conference on Learning Representations (2019), https://openreview.net/forum?id=BJe-DsC5Fm

Reference 19

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Observation a3f6c932-018e-4ef7-87f9-4b7acb739093 · outbound

This paper cites Robustness of Practical Perceptual Hashing Algorithms to Hash-Evasion and Hash-Inversion Attacks.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Robustness of Practical Perceptual Hashing Algorithms to Hash-Evasion and Hash-Inversion Attacks

Reference 20

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Observation ac372a43-15f9-4f06-877e-7b7ec2ea7980 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 21

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Observation 0fdf24eb-9981-4978-848a-5adc72aad905 · outbound

This paper cites In: 32nd USENIX Security Symposium (USENIX Security 23).

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms In: 32nd USENIX Security Symposium (USENIX Security 23)

Reference 22

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Observation db291587-62ef-44e6-bc67-684271aca1fc · outbound

This paper cites In: T.Y.S.S., S., Rodriguez, J.D., de Gibert, O.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms In: T.Y.S.S., S., Rodriguez, J.D., de Gibert, O

Reference 23

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doi, observed 2026-07-14T05:30:15.142392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fb61a17f-232a-464f-ba8e-6f3ef00e88d7 · outbound

This paper cites an unresolved cited work.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Unresolved cited work

Reference 24

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Observation 414ac032-5554-459a-9868-afbba1802b9a · outbound

This paper cites In: 2022 ACM Conference on Fairness Accountability and Transparency.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms In: 2022 ACM Conference on Fairness Accountability and Transparency

Reference 25

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Observation 3214e962-875f-409f-a7ba-aeba97be9a57 · outbound

This paper cites Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance

Reference 26

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Observation 2c3e63dc-b5fd-49d6-b92f-bbe954826241 · outbound

This paper cites an unresolved cited work.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms Unresolved cited work

Reference 27

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Observation af8e4ea6-fcf2-4c25-aa1e-6b5d1e3dc6d1 · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 28

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Observation 3740b9fa-f3bc-44f3-a42f-9a93b83606f7 · outbound

This paper cites In: 34th USENIX Security Symposium (USENIX Security 25).

LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms In: 34th USENIX Security Symposium (USENIX Security 25)

Reference 29

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Pith citing papers

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