Paper Citation Record · LEDGER

BURN: Backdoor Unlearning via Adversarial Boundary Analysis

As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.10491.

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

pith.paper-citation-record.v1
2507.10491 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:33:53.329238Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

34 of 34 outbound references displayed

verified exact1
verified fuzzy25
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4bb7599a-dabe-4449-9b25-d1438c9d43f2 · outbound

This paper cites Superdeepfool: a new fast and accurate minimal adversarial attack.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Superdeepfool: a new fast and accurate minimal adversarial attack

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.330670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8f50b441-a439-42ed-9d86-b6ca9b07a274 · outbound

This paper cites Blind backdoors in deep learning models.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Blind backdoors in deep learning models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:56.155947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3232fc75-3be1-45da-a6f2-25c8e35b8e3b · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:48.320522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f54b9ff4-5d9f-40aa-926a-c9a3502eab09 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Imagenet: A large-scale hierarchical image database

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:48.491804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32f8017d-009c-4fd8-9f3c-cc2080bca890 · outbound

This paper cites Lira: Learnable, imperceptible and robust backdoor attacks.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Lira: Learnable, imperceptible and robust backdoor attacks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.927272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 651eaaae-6bf2-4741-9401-5a0f4fcf4368 · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural networks.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Dermatologist-level classification of skin cancer with deep neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.811085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 40b5107f-703f-4c42-bb9a-2c8ec26950c4 · outbound

This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:49.039603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b33d4fc-4dd1-4cc1-98e8-23840586146a · outbound

This paper cites Identity mappings in deep residual networks.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Identity mappings in deep residual networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.795968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 97c2c446-8782-4311-9505-6091ab84845d · outbound

This paper cites Backdoor Defense via Decoupling the Training Process.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Backdoor Defense via Decoupling the Training Process

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:49.387199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 435f5796-b775-41c5-bf91-283d984dc678 · outbound

This paper cites Learning multiple layers of features from tiny images.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Learning multiple layers of features from tiny images

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:49.508648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2cde874-5a0f-4ed4-ae4a-a197250163d4 · outbound

This paper cites Invisible backdoor attack with sample-specific triggers.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Invisible backdoor attack with sample-specific triggers

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.775497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09d81821-9783-465e-a588-f927c20ee1df · outbound

This paper cites Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:49.807827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a87a150-226b-499b-a806-852479a28445 · outbound

This paper cites Fine- pruning: Defending against backdooring attacks on deep neural networks.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Fine- pruning: Defending against backdooring attacks on deep neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.763688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 89a81f6d-4891-428b-bd36-556607503750 · outbound

This paper cites Trojaning attack on neural networks.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Trojaning attack on neural networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.750371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b31639b8-4297-4ed7-8e28-0ecc7dcbbee1 · outbound

This paper cites Abs: Scanning neural networks for back-doors by artificial brain stimulation.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Abs: Scanning neural networks for back-doors by artificial brain stimulation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.738446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 036b8f8c-05f2-44de-bc48-199d67e508e4 · outbound

This paper cites Deepfool: a simple and accurate method to fool deep neural networks.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Deepfool: a simple and accurate method to fool deep neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.725744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3eb1b591-ed82-45b0-9df8-fb99b99ffc86 · outbound

This paper cites Progressive backdoor erasing via connecting backdoor and adversarial attacks.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Progressive backdoor erasing via connecting backdoor and adversarial attacks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.713830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 58e706fe-d829-4585-89da-b19cc9c3458e · outbound

This paper cites Input-aware dynamic back- door attack.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Input-aware dynamic back- door attack

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.701818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7c8b2cfb-2ea8-4a01-b409-3432a59c073b · outbound

This paper cites Deep face recognition.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Deep face recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.688750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 519b571f-c499-4fe4-8ba8-bd96ddfe5bff · outbound

This paper cites MDTD: A Multi Domain Trojan Detector for Deep Neural Networks.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis MDTD: A Multi Domain Trojan Detector for Deep Neural Networks

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:33:53.595000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf34167e-77ae-49e5-8327-a69a68986a70 · outbound

This paper cites You only look once: Unified, real-time object de- tection.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis You only look once: Unified, real-time object de- tection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.676238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6122c3f-8a0b-4203-909e-6b128af8d073 · outbound

This paper cites Universal backdoor attacks.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Universal backdoor attacks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.663915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6e4c47e5-d67d-42c1-a757-11b3a28d145f · outbound

This paper cites Model x-ray: Detecting backdoored models via decision boundary.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Model x-ray: Detecting backdoored models via decision boundary

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.627196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 52371684-3e19-4543-8f27-7295932f9c19 · outbound

This paper cites Label-Consistent Backdoor Attacks.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Label-Consistent Backdoor Attacks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:51.578940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c365a357-1c99-4bd2-a5d4-e150d8911212 · outbound

This paper cites Neural cleanse: Identifying and mitigating backdoor attacks in neural net- works.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Neural cleanse: Identifying and mitigating backdoor attacks in neural net- works

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.463645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 18eb872c-e02d-4c6d-8013-02dfd9b148c0 · outbound

This paper cites Bppattack: Stealthy and efficient trojan attacks against deep neural net- works via image quantization and contrastive adversarial learning.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Bppattack: Stealthy and efficient trojan attacks against deep neural net- works via image quantization and contrastive adversarial learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.266130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a137bcd9-2ab6-4c64-9072-0cb2e670ec9f · outbound

This paper cites Shared adversarial unlearning: Backdoor mitigation by unlearning shared adversarial examples.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Shared adversarial unlearning: Backdoor mitigation by unlearning shared adversarial examples

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:55.072373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d13d241-3a06-4b7f-9852-25de9e4931b7 · outbound

This paper cites Backdoorbench: A comprehensive benchmark of backdoor learning.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Backdoorbench: A comprehensive benchmark of backdoor learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:54.883878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 95d67ba4-1fcc-4322-90ba-b4bfc10ced2c · outbound

This paper cites Adversarial neuron prun- ing purifies backdoored deep models.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Adversarial neuron prun- ing purifies backdoored deep models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:54.680626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 504b98d9-d897-4c9f-a353-a9c0b378ce7f · outbound

This paper cites Cbd: A certified back- door detector based on local dominant probability.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Cbd: A certified back- door detector based on local dominant probability

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:54.470676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c112a32a-9fff-4865-955a-8573fb044fe0 · outbound

This paper cites Adversarial Unlearning of Backdoors via Implicit Hypergradient.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Adversarial Unlearning of Backdoors via Implicit Hypergradient

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:52.804575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c06b8b86-824c-49e2-a676-4228aaef1a34 · outbound

This paper cites Re- thinking the backdoor attacks’ triggers: A frequency per- spective.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Re- thinking the backdoor attacks’ triggers: A frequency per- spective

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:54.207373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 024f1b48-d532-4eb8-93de-be88633febb3 · outbound

This paper cites Poison ink: Robust and invisible backdoor attack.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Poison ink: Robust and invisible backdoor attack

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:53.979510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ccd8d356-65cc-412b-8fc6-2b8c951ed8cf · outbound

This paper cites Enhancing fine-tuning based backdoor defense with sharpness-aware minimization.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis Enhancing fine-tuning based backdoor defense with sharpness-aware minimization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:33:53.839880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.