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Paper Citation Record · LEDGER

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation

As of 23 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2511.19558.

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

pith.paper-citation-record.v1
2511.19558 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:39:58.726973Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T11:26:55.810822Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

47 of 47 outbound references displayed

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  • unresolved47
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 899e252d-72c6-4dee-aa1c-76b7371048fb · outbound

This paper cites Qwen-Image Technical Report.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Qwen-Image Technical Report

Reference 1

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source=pdf_text observed=2026-08-03T20:39:53.317945Z digest=sha256:0e57867d80d7c66d3c5086e9111f6086fcdc322a970214c0ade1cc15b100dfb7

Observation 51e926e9-ec78-49bf-bfe2-311d3ce6bcdc · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation High-resolution image synthesis with latent diffusion models

Reference 2

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source=pdf_text observed=2026-08-03T20:39:53.401521Z digest=sha256:1d160cec19c371997cfb9ab03a1c8acc4d57489c83d008ed21a22d8698c9ebf7

Observation 3b49f4c2-ae40-4687-9f7c-c81ab49de5d6 · outbound

This paper cites Safe latent diffusion: Mitigat- ing inappropriate degeneration in diffusion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Safe latent diffusion: Mitigat- ing inappropriate degeneration in diffusion models

Reference 3

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source=pdf_text observed=2026-08-03T20:39:53.493367Z digest=sha256:bd967c54787896a8fc1e19188574cc72320731c4b92482ee4fe3d05d2c69e07e

Observation eb7ab05f-eb70-4ae7-bc9d-c86c5dba3377 · outbound

This paper cites Extracting training data from diffusion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Extracting training data from diffusion models

Reference 4

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source=pdf_text observed=2026-08-03T20:39:53.597373Z digest=sha256:2a23c5deae73e4deeb419c5eae96776b46e48aa04b4d66be1cfb046887629838

Observation 32c9cb6b-a9d1-490d-9139-8497229fd798 · outbound

This paper cites Understanding and mitigating copying in diffusion models.NeurIPS, 2023.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Understanding and mitigating copying in diffusion models.NeurIPS, 2023

Reference 5

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source=pdf_text observed=2026-08-03T20:39:53.701442Z digest=sha256:90ed604e1271bade83b946854876868fe3cacb5dbec0ea11ce52dcaba48f5d4f

Observation 98fa3c51-6eab-4d46-b9ed-ba0b924bc015 · outbound

This paper cites Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted

Reference 6

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source=pdf_text observed=2026-08-03T20:39:53.817572Z digest=sha256:201755ec0b71da86439cdd5a4a97ce7313f02a2c66605462ab0d8daff1f37a91

Observation ea094162-9b9e-480a-bc15-957a3bf3109d · outbound

This paper cites Latent guard: a safety framework for text-to-image generation.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Latent guard: a safety framework for text-to-image generation

Reference 7

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source=pdf_text observed=2026-08-03T20:39:53.933718Z digest=sha256:4620381ce99b9a16bfc5ed18ecca2175dd945df6deb56e8628f8125fc3988af1

Observation 5cea8bd9-3def-4341-9a51-c661a47edae4 · outbound

This paper cites Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models

Reference 8

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source=pdf_text observed=2026-08-03T20:39:54.043022Z digest=sha256:82e7bf8ca7855fbb920ccdf31c5cd578f74b46cc9ef658ab4da95ef0865eb31f

Observation b63d3fca-2132-4e5e-bf0a-89afb04501d0 · outbound

This paper cites Safe vision- language models via unsafe weights manipulation.arXiv preprint arXiv:2503.11742, 2025.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Safe vision- language models via unsafe weights manipulation.arXiv preprint arXiv:2503.11742, 2025

Reference 9

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source=pdf_text observed=2026-08-03T20:39:54.116877Z digest=sha256:cef38d0cbebf2245db29638b6d6bf7e2fb5d89a79045ed693d6e0f21d519c2ca

Observation 21840955-369a-45b7-aa15-c30b1ecbe48b · outbound

This paper cites Safe- clip: Removing nsfw concepts from vision-and-language models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Safe- clip: Removing nsfw concepts from vision-and-language models

Reference 10

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source=pdf_text observed=2026-08-03T20:39:54.275274Z digest=sha256:0887c36277c366d9d5b5b2a3befd79b31d65aa78ffd83d392963535b5d950118

Observation 7209ebe8-bdc9-4293-9377-e9cd06cd980c · outbound

This paper cites Reliable and efficient concept erasure of text-to-image diffusion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Reliable and efficient concept erasure of text-to-image diffusion models

Reference 11

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source=pdf_text observed=2026-08-03T20:39:54.381061Z digest=sha256:aacd5eca27b4eeb17160c826776469750cf9b39e885dff7de37495a9bd81195b

Observation 358932ad-b8e5-472f-af79-495abbe31592 · outbound

This paper cites Mace: Mass concept erasure in diffusion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Mace: Mass concept erasure in diffusion models

Reference 12

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source=pdf_text observed=2026-08-03T20:39:54.497555Z digest=sha256:24d756e1291477160eb18553637d49e88b23df443e69c7949e14a23a921f7f60

Observation 138f989b-214f-4398-85a7-9ab97ef6366c · outbound

This paper cites SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

Reference 13

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source=pdf_text observed=2026-08-03T20:39:54.587810Z digest=sha256:628aa135dcd7e03f70a05f93da3a483f454737a6f32d2980b65d9e383a756bb8

Observation 36fda920-84e9-4d87-b73b-c48bb3415370 · outbound

This paper cites Scissorhands: Scrub data influence via connection sensitivity in networks.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Scissorhands: Scrub data influence via connection sensitivity in networks

Reference 14

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source=pdf_text observed=2026-08-03T20:39:54.693866Z digest=sha256:975b2b77cbbd68bb4f63a1155e11f1e6e7b937c586e4eb5eb4d3cb0ebef13787

Observation 0cc03dcc-d476-498f-9fe9-64c8fada524a · outbound

This paper cites Erasing undesirable influence in diffusion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Erasing undesirable influence in diffusion models

Reference 15

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source=pdf_text observed=2026-08-03T20:39:54.851780Z digest=sha256:ab9d807614db051ccb390448cb740ba9580f5bb02fa5a1c6ceaa000294095bbd

Observation ce980f7e-f285-4ddb-a93d-1b3120abcbb3 · outbound

This paper cites Erasing concepts from dif- fusion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Erasing concepts from dif- fusion models

Reference 16

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source=pdf_text observed=2026-08-03T20:39:54.964013Z digest=sha256:6dda41eed670743326c21f23639aa6fc90bcb5a61aa401034f69b77557a1aac8

Observation d38f9121-287e-479e-b8b9-c1b97febbb56 · outbound

This paper cites Stereo: Towards adversari- ally robust concept erasing from text-to-image genera- tion models.arXiv e-prints, 2024.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Stereo: Towards adversari- ally robust concept erasing from text-to-image genera- tion models.arXiv e-prints, 2024

Reference 17

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source=pdf_text observed=2026-08-03T20:39:55.080233Z digest=sha256:801025a70c0821407854fc39435228db2e160cf8023c7987f20c95bfac5e1e53

Observation ab87e50c-307c-44d1-b797-981524aba118 · outbound

This paper cites Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?

Reference 18

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source=pdf_text observed=2026-08-03T20:39:55.186965Z digest=sha256:9f02f831ca45efe5909bc46d042a1ab3682d198564f972c301fd6d8782b62bab

Observation 043b3518-5053-4726-90d4-e67d4e98b8de · outbound

This paper cites Sneakyprompt: Jailbreaking text-to-image generative models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Sneakyprompt: Jailbreaking text-to-image generative models

Reference 19

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source=pdf_text observed=2026-08-03T20:39:55.302835Z digest=sha256:8ee403c8b598eca874bc5aea89f694ec4ac237da38565ec9779fa5fcfbf18d1a

Observation 47408859-aa80-4eee-be67-b19190f44287 · outbound

This paper cites Modifier unlocked: Jailbreaking text-to-image models through prompts.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Modifier unlocked: Jailbreaking text-to-image models through prompts

Reference 20

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source=pdf_text observed=2026-08-03T20:39:55.388634Z digest=sha256:091669d260716f38457bae2fdd518cbca35d7546552cdae8dedbe8b98a9ba883

Observation 471cd9c5-bb72-4b05-8d50-054b66eaa6ce · outbound

This paper cites Jailbreaking prompt attack: A controllable adversarial attack against diffu- sion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Jailbreaking prompt attack: A controllable adversarial attack against diffu- sion models

Reference 21

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source=pdf_text observed=2026-08-03T20:39:55.492965Z digest=sha256:5b499a24887ea7a0b47907739d03f30afc6fd7550bfcb6c8207cc22ce7c7a1ff

Observation e72f6d2a-f4b9-4870-b2f8-3ffa200568f2 · outbound

This paper cites The illusion of unlearning: The unstable nature of machine unlearning in text-to-image diffusion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation The illusion of unlearning: The unstable nature of machine unlearning in text-to-image diffusion models

Reference 22

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source=pdf_text observed=2026-08-03T20:39:55.666658Z digest=sha256:fcec024e891c3425a9aeef170290253122ec7e34ed8535e502269afe31704b5c

Observation f3cd0aae-cb09-4903-a31c-6e4405f1b0fe · outbound

This paper cites Unstable un- learning: The hidden risk of concept resurgence in diffu- sion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Unstable un- learning: The hidden risk of concept resurgence in diffu- sion models

Reference 23

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source=pdf_text observed=2026-08-03T20:39:55.731434Z digest=sha256:f885486c3e0463b13f82d2f336e45aa85e5aaf98a2cf9517e809ee2a0b8e8714

Observation e34a4be4-d1ee-40b2-8047-61862c5b419a · outbound

This paper cites To- wards resilient safety-driven unlearning for diffusion models against downstream fine-tuning.arXiv preprint arXiv:2507.16302, 2025.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation To- wards resilient safety-driven unlearning for diffusion models against downstream fine-tuning.arXiv preprint arXiv:2507.16302, 2025

Reference 24

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Observation f24228a7-98d0-4ec1-a971-e30311de1ec0 · outbound

This paper cites Lora: Low-rank adaptation of large language mod- els.ICLR, 2022.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Lora: Low-rank adaptation of large language mod- els.ICLR, 2022

Reference 25

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source=pdf_text observed=2026-08-03T20:39:55.887263Z digest=sha256:8bf5028b8d92637446c63599f375b98a9c6ae888b385566573eac3f3eaf17546

Observation 30d7bcaa-4253-4036-97eb-55afb8a36dad · outbound

This paper cites Forget-me-not: Learning to forget in text-to-image diffusion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Forget-me-not: Learning to forget in text-to-image diffusion models

Reference 26

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source=pdf_text observed=2026-08-03T20:39:56.037195Z digest=sha256:8cf137cbc04643cae59285652d326137ca7addc270e622169e4bd99cea3e07b7

Observation ce310a91-53b3-49d5-af48-be22babd914c · outbound

This paper cites Defensive unlearning with adversarial training for robust concept erasure in diffusion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Defensive unlearning with adversarial training for robust concept erasure in diffusion models

Reference 27

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Observation db0c6de9-0cd2-4b6c-bffa-77c2cb52b508 · outbound

This paper cites One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications

Reference 28

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source=pdf_text observed=2026-08-03T20:39:56.281329Z digest=sha256:a9cd76f28912a752eab796d2e18a0c229467bf43e96a1d67f16652c64605a9d9

Observation 0a91a6d4-7109-4d00-bee2-4dcac8f2022a · outbound

This paper cites Unified con- cept editing in diffusion models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Unified con- cept editing in diffusion models

Reference 29

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source=pdf_text observed=2026-08-03T20:39:56.436188Z digest=sha256:6b000a89ecb8a6de8f88f9dc61e0c75ca5fcf83bc7729aae5b89f55f5739c913

Observation ed4dde46-1128-49aa-90bb-18dbef7dc171 · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Learning transferable visual models from natural lan- guage supervision

Reference 30

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source=pdf_text observed=2026-08-03T20:39:56.603169Z digest=sha256:c518b1c5d5977a96442df0cffdb87f246101078fc4e56d9f4621b5ac81d483fc

Observation 0b9bfb1d-7dc5-4131-8c28-9bc6d879e655 · outbound

This paper cites Unlearning vision trans- formers without retaining data via low-rank decomposi- tions.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Unlearning vision trans- formers without retaining data via low-rank decomposi- tions

Reference 31

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source=pdf_text observed=2026-08-03T20:39:56.698780Z digest=sha256:b51457dbc227caa9f4e9c0e4aca9e3b35bd60da8ee81a2478e8d3044cb8c30f1

Observation b5110894-ce44-4278-95c7-68acfb5e4dd5 · outbound

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

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 32

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source=pdf_text observed=2026-08-03T20:39:56.807456Z digest=sha256:4be1a70a3d473f4666459d4b86a01bbd87c8b774ef2a3bca7d9b71b156bb9b23

Observation e57bec4c-a0e9-4550-99d4-5656afd8cd40 · outbound

This paper cites Beavertails: Towards im- proved safety alignment of llm via a human-preference dataset.NeurIPS, 2023.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Beavertails: Towards im- proved safety alignment of llm via a human-preference dataset.NeurIPS, 2023

Reference 33

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source=pdf_text observed=2026-08-03T20:39:56.981025Z digest=sha256:48b4fece067d2417e2bfa0c577baea2381f4021b1c54235379a89ee0be46dfa3

Observation 64e3bf64-57c2-42e5-8edb-99edc97f3b16 · outbound

This paper cites To- wards understanding the fragility of multilingual llms against fine-tuning attacks.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation To- wards understanding the fragility of multilingual llms against fine-tuning attacks

Reference 34

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Observation 71bbf285-6a37-4ee9-b441-c0f8fcb9f5b1 · outbound

This paper cites UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models

Reference 35

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source=pdf_text observed=2026-08-03T20:39:57.158834Z digest=sha256:e079141cdfabfc403d61d044be607ec3278338bb427108aab9441ef4f4bd246b

Observation 0f074efa-4383-472e-9821-b3c109e6fc1c · outbound

This paper cites an unresolved cited work.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-03T20:39:57.294712Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:39:57.294712Z digest=sha256:adda0d20fd3c2d0c745b474804e2b9d5d7d073c68a1966abb7316fd45f75019d

Observation bcb84d93-b875-4e9f-999d-a00e95bfe264 · outbound

This paper cites Nudenet: Nsfw object detection for tfjs and nodejs.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Nudenet: Nsfw object detection for tfjs and nodejs

Reference 37

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source=pdf_text observed=2026-08-03T20:39:57.440105Z digest=sha256:992a1a9a8af75418deb3bcea0be77161b57c05f05cbcc667da5fa8eeeed4d0dc

Observation a781b074-3156-48d9-8cff-35e35bdff06a · outbound

This paper cites UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images

Reference 38

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source=pdf_text observed=2026-08-03T20:39:57.598200Z digest=sha256:c020b3e44f2c6b83febed555435a041f51e3f6044832dbfcaf92841527e65db7

Observation 277741e1-2ec0-4d20-b101-a6e60fa24eff · outbound

This paper cites Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application

Reference 39

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source=pdf_text observed=2026-08-03T20:39:57.721994Z digest=sha256:511eb8f71e7bf1b2bf1ead748e06ba9528b9a81a987a2dd328d6948c5e59b029

Observation e00af068-3178-4302-b12a-73abe2793417 · outbound

This paper cites Microsoft coco: Common objects in context.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Microsoft coco: Common objects in context

Reference 40

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source=pdf_text observed=2026-08-03T20:39:57.892600Z digest=sha256:b1db9f98c58113b9b908be15ab477396c0bb630def6446a640723a3591345fa6

Observation 13ffa646-b567-4b33-b85a-3de467baccd4 · outbound

This paper cites Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion Models.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion Models

Reference 41

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source=pdf_text observed=2026-08-03T20:39:58.047828Z digest=sha256:4185424e549ecf752f130df0245db48a00bfc9dcb66bed7d468fa84d61de4c91

Observation 560b3410-c583-43f3-87c6-425c0ef0c123 · outbound

This paper cites T2isafety: Benchmark for assessing fairness, toxicity, and privacy in image generation.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation T2isafety: Benchmark for assessing fairness, toxicity, and privacy in image generation

Reference 42

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no resolver link, observed 2026-08-03T20:39:58.218610Z

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source=pdf_text observed=2026-08-03T20:39:58.218610Z digest=sha256:43f90179a461457eb227d4dc02c9e57d33353262be68e7593151905dee3308f2

Observation 4c6e4b86-f150-43cc-ac2b-36cedc883146 · outbound

This paper cites Stable diffusion 2.1 release notes.https: //stability.ai/blog/stable-diffusion- 2-1-release, 2022.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Stable diffusion 2.1 release notes.https: //stability.ai/blog/stable-diffusion- 2-1-release, 2022

Reference 43

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source=pdf_text observed=2026-08-03T20:39:58.383536Z digest=sha256:be17eed01ce8b078357adb07d6a67accdb8a95a89b65a7878aaa888b163c1d2e

Observation 39081c2a-2220-41ad-8856-dbb8f609bd60 · outbound

This paper cites Nih chest x-ray dataset.https://www.kaggle.com/datasets/ nih-chest-xrays/data, 2018.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Nih chest x-ray dataset.https://www.kaggle.com/datasets/ nih-chest-xrays/data, 2018

Reference 44

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source=pdf_text observed=2026-08-03T20:39:58.519470Z digest=sha256:f6a72f83dd606bf35c5e6df24365e1cb9fbe5739069e0da34d53badf14368b43

Observation de0708e8-8f03-417d-b0e7-4630e5ef730e · outbound

This paper cites Brain tumor mri dataset.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Brain tumor mri dataset

Reference 45

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no resolver link, observed 2026-08-03T20:39:58.586941Z

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source=pdf_text observed=2026-08-03T20:39:58.586941Z digest=sha256:3dc31bd8c0e3215d928382ab0d33fb4863809a4fa4f740a1eaefa0d9712f636f

Observation 68526b1a-7ed8-437e-9f4f-19c6adc50b0e · outbound

This paper cites Stable diffusion 2.1 release notes.https: //stability.ai/blog/stable-diffusion- 2-1-release, 2022.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation Stable diffusion 2.1 release notes.https: //stability.ai/blog/stable-diffusion- 2-1-release, 2022

Reference 46

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source=pdf_text observed=2026-08-03T20:39:58.671368Z digest=sha256:b93a876c715830d95ab2ea2f52dd9556d7147c1809ab7dd9c44dc97561434b0c

Observation 356ae770-f4e1-4225-9520-3c6c6b384dbb · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 47

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source=pdf_text observed=2026-08-03T20:39:58.726973Z digest=sha256:a459c997ced0ee20fcda3c5568285af315d8a2b7d8c3afb9f759cb108efccf3c

Pith citing papers

Observation 307a12bd-bf81-4a06-8c05-07eb4189f489 · inbound

Projected Gradient Unlearning for Text-to-Image Diffusion Models: Defending Against Concept Revival Attacks cites this paper.

Projected Gradient Unlearning for Text-to-Image Diffusion Models: Defending Against Concept Revival Attacks SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation

Reference 13

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metadata mismatch
arxiv_id, observed 2026-07-14T02:20:20.283959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T00:01:14.282766Z digest=sha256:685ec3ccc9727481a9fe85360519588b9e84f74c285d92a66ddd529ae7aeb77b

Observation 6b87137f-5c04-4a71-8b61-568e350f0914 · inbound

SafeDiffusion-R1: Online Reward Steering for Safe Diffusion Post-Training cites this paper.

SafeDiffusion-R1: Online Reward Steering for Safe Diffusion Post-Training SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation

Reference 100

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verified exact
arxiv_id, observed 2026-07-14T02:20:20.283959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T11:26:55.810822Z digest=sha256:2be80c862e16ab9e964aeecbdaf9d44545904758050bf4abe2e554d69dca578f