Paper Citation Record · LEDGER

FADE: Adversarial Concept Erasure in Flow Models

As of 7 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.12283.

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

pith.paper-citation-record.v1
2507.12283 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:00:02.738182Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

37 of 37 outbound references displayed

verified exact1
verified fuzzy6
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2198b2d6-9d3e-49e9-b06c-fe5cbdaba49a · outbound

This paper cites LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering.

FADE: Adversarial Concept Erasure in Flow Models LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:59.766279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9a70933-1cd2-4249-8808-cd238a82d037 · outbound

This paper cites Offset: Segmentation-based focus shift revision for composed image retrieval, 2025c.

FADE: Adversarial Concept Erasure in Flow Models Offset: Segmentation-based focus shift revision for composed image retrieval, 2025c

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:00.164367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2493d78d-c7f2-4afd-86ac-59ab8b905118 · outbound

This paper cites EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers.

FADE: Adversarial Concept Erasure in Flow Models EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:00.230836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd4eb0da-2b15-45c4-b937-e2b3ec43884f · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

FADE: Adversarial Concept Erasure in Flow Models Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:00.597542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b810385d-51e8-443c-9cd4-f0574e33ee7c · outbound

This paper cites and Salimans, T.

FADE: Adversarial Concept Erasure in Flow Models and Salimans, T

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:05.361766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6294a47-fc88-496e-b6de-afad40dd83bd · outbound

This paper cites Mvctrack: Boost- ing 3d point cloud tracking via multimodal-guided virtual cues.

FADE: Adversarial Concept Erasure in Flow Models Mvctrack: Boost- ing 3d point cloud tracking via multimodal-guided virtual cues

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:05.110389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 906c5e9f-6e40-405e-b59a-373fc58f03b0 · outbound

This paper cites ScaleTrack: Scaling and back-tracking Automated GUI Agents.

FADE: Adversarial Concept Erasure in Flow Models ScaleTrack: Scaling and back-tracking Automated GUI Agents

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:01.005902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425946b3-d84e-4802-97db-63df93333eb8 · outbound

This paper cites Overview of the nlpcc 2023 shared task: Chinese medical instructional video question answering.

FADE: Adversarial Concept Erasure in Flow Models Overview of the nlpcc 2023 shared task: Chinese medical instructional video question answering

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:04.875702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef5a32f0-503f-4c46-a13d-00637a6f7afb · outbound

This paper cites Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts.

FADE: Adversarial Concept Erasure in Flow Models Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:01.247350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e9852a4-2624-4dc1-ab59-e422146fb9e7 · outbound

This paper cites Phy124: Fast Physics-Driven 4D Content Generation from a Single Image.

FADE: Adversarial Concept Erasure in Flow Models Phy124: Fast Physics-Driven 4D Content Generation from a Single Image

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:01.367416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f528ad52-4321-47b1-9856-6b8df93eec75 · outbound

This paper cites Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances.

FADE: Adversarial Concept Erasure in Flow Models Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:01.472792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 687cee47-9462-404d-9d46-4def708ba3af · outbound

This paper cites MagicStick: Controllable Video Editing via Control Handle Transformations.

FADE: Adversarial Concept Erasure in Flow Models MagicStick: Controllable Video Editing via Control Handle Transformations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:01.608530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cccb2e5-7ed6-49fc-8147-8ffe024a01b0 · outbound

This paper cites Follow-Your-Creation: Empowering 4D Creation through Video Inpainting.

FADE: Adversarial Concept Erasure in Flow Models Follow-Your-Creation: Empowering 4D Creation through Video Inpainting

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:01.684985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fb8345d-aa1c-4499-9eb3-17549a49b13b · outbound

This paper cites LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization.

FADE: Adversarial Concept Erasure in Flow Models LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:01.797557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e13720f0-03a2-4403-ab71-21c6459ae704 · outbound

This paper cites Towards Realistic Data Generation for Real-World Super-Resolution.

FADE: Adversarial Concept Erasure in Flow Models Towards Realistic Data Generation for Real-World Super-Resolution

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:01.877701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55802682-479b-495f-b20f-49981af4200c · outbound

This paper cites A com- prehensive survey of deep learning for multivariate time series forecasting: A channel strategy perspective.

FADE: Adversarial Concept Erasure in Flow Models A com- prehensive survey of deep learning for multivariate time series forecasting: A channel strategy perspective

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.010235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4320cd2-d333-4387-993e-719d95e61424 · outbound

This paper cites Backdoor Cleaning without External Guidance in MLLM Fine-tuning.

FADE: Adversarial Concept Erasure in Flow Models Backdoor Cleaning without External Guidance in MLLM Fine-tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.139452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7ee3b63-f739-4eaa-ac40-790837014c82 · outbound

This paper cites Ptt: Point-track- transformer module for 3d single object tracking in point clouds.

FADE: Adversarial Concept Erasure in Flow Models Ptt: Point-track- transformer module for 3d single object tracking in point clouds

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:04.682169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37f3c9b8-384f-4e6c-a499-243f34d9b747 · outbound

This paper cites A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition.

FADE: Adversarial Concept Erasure in Flow Models A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.277800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05a39a86-ec1c-4222-afc9-0fdf31098dd6 · outbound

This paper cites Text- toon: Real-time text toonify head avatar from single video.

FADE: Adversarial Concept Erasure in Flow Models Text- toon: Real-time text toonify head avatar from single video

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.372509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31cac8ad-9e4d-4119-b9ac-d875f6424a50 · outbound

This paper cites Divide-and- conquer: Confluent triple-flow network for rgb-t salient object detection.

FADE: Adversarial Concept Erasure in Flow Models Divide-and- conquer: Confluent triple-flow network for rgb-t salient object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:04.462535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5c16cab-537f-40ee-8fce-b92d5e5ce3cc · outbound

This paper cites an unresolved cited work.

FADE: Adversarial Concept Erasure in Flow Models Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.379971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 884d48da-c0f3-4bf1-a385-8356c96dbe51 · outbound

This paper cites ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM.

FADE: Adversarial Concept Erasure in Flow Models ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.383496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 756be99c-011d-4d07-aacc-389d558491bf · outbound

This paper cites Dynamic uncertainty learning with noisy correspondence for text-based person search.

FADE: Adversarial Concept Erasure in Flow Models Dynamic uncertainty learning with noisy correspondence for text-based person search

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.388782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e81a491-5499-4cfc-b8e2-caf27f2dc311 · outbound

This paper cites Eedit: Rethinking the spatial and temporal redundancy for efficient image editing.

FADE: Adversarial Concept Erasure in Flow Models Eedit: Rethinking the spatial and temporal redundancy for efficient image editing

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.406161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6dba4c8-6b65-4ca5-a70e-e5f6b754ac83 · outbound

This paper cites CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation.

FADE: Adversarial Concept Erasure in Flow Models CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.429731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55060043-7fa5-4dc2-806d-13c51cb30011 · outbound

This paper cites SPOT! Revisiting Video-Language Models for Event Understanding.

FADE: Adversarial Concept Erasure in Flow Models SPOT! Revisiting Video-Language Models for Event Understanding

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.453099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 605a504f-f334-48de-b474-b90eb7fc1c46 · outbound

This paper cites KinMo: Kinematic-aware Human Motion Understanding and Generation.

FADE: Adversarial Concept Erasure in Flow Models KinMo: Kinematic-aware Human Motion Understanding and Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.477554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87f22fa8-77c3-4875-bc22-b6e9385498ad · outbound

This paper cites FastPillars: A Deployment-friendly Pillar-based 3D Detector.

FADE: Adversarial Concept Erasure in Flow Models FastPillars: A Deployment-friendly Pillar-based 3D Detector

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.504483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b466ac5-a235-416a-8ace-490c8022988f · outbound

This paper cites InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences.

FADE: Adversarial Concept Erasure in Flow Models InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:02.550033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a131565a-8936-4422-8f01-810672d4c580 · outbound

This paper cites an unresolved cited work.

FADE: Adversarial Concept Erasure in Flow Models Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:00:04.171423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d93ca757-eca8-43da-a702-9eca414db4d2 · outbound

This paper cites Multimodality (Shen et al.,.

FADE: Adversarial Concept Erasure in Flow Models Multimodality (Shen et al.,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:03.868082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d8eb5a6-9a0a-4fc6-a493-2856fcf84648 · outbound

This paper cites MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast.

FADE: Adversarial Concept Erasure in Flow Models MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:00.815879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bcd8310-5726-4b88-a7b0-9f0ad4c3b511 · outbound

This paper cites Adversarial Learning for Neural PDE Solvers with Sparse Data.

FADE: Adversarial Concept Erasure in Flow Models Adversarial Learning for Neural PDE Solvers with Sparse Data

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:00:03.427058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d9dbdf2-3653-4313-b45e-e05479ca361e · outbound

This paper cites Fedbip: Het- erogeneous one-shot federated learning with personalized latent diffusion models.

FADE: Adversarial Concept Erasure in Flow Models Fedbip: Het- erogeneous one-shot federated learning with personalized latent diffusion models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:00.059624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6fffb43-5602-4501-b420-49eda8e75b65 · outbound

This paper cites Why reasoning mat- ters? a survey of advancements in multimodal reasoning (v1).

FADE: Adversarial Concept Erasure in Flow Models Why reasoning mat- ters? a survey of advancements in multimodal reasoning (v1)

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:59.893605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e9c1c87-6de6-4054-8d2a-ff528d4fa347 · outbound

This paper cites Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method.

FADE: Adversarial Concept Erasure in Flow Models Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:00.346876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.