Paper Citation Record · LEDGER

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks

As of 19 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.10722.

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

pith.paper-citation-record.v1
2506.10722 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:24:22.959017Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

49 of 49 outbound references displayed

verified exact0
verified fuzzy41
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 49b92c28-f98e-46d9-8da8-df81fc4645bd · outbound

This paper cites Deep learning for 3d point clouds: A survey,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Deep learning for 3d point clouds: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.192664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eeeb4730-2085-44ef-80fa-0ac4a03a3d18 · outbound

This paper cites Deep audio-visual speech recognition,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Deep audio-visual speech recognition,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.184417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1726f2b8-9a0c-40e1-a7ac-6ec4dd8856f5 · outbound

This paper cites From handcrafted to deep features for pedestrian detection: A survey,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks From handcrafted to deep features for pedestrian detection: A survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.176520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee5132e4-972c-459b-bf2d-4196f474c1c4 · outbound

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

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:19.509666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36bfeaeb-b615-49ea-8bc5-d528e25a45fa · outbound

This paper cites Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:19.603959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a3493f1-26eb-45d6-86f2-6ada1d166251 · outbound

This paper cites Trojaning attack on neural networks,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Trojaning attack on neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.168293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad3b7e31-5e1b-410c-9ba9-7e88df626af3 · outbound

This paper cites Be careful about poisoned word embeddings: Exploring the vulnerability of the embedding layers in NLP models,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Be careful about poisoned word embeddings: Exploring the vulnerability of the embedding layers in NLP models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.160705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5e1fe31-c13b-4582-87b8-9dd3cc6c558f · outbound

This paper cites Turning your weakness into a strength: Watermarking deep neural net- works by backdooring,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Turning your weakness into a strength: Watermarking deep neural net- works by backdooring,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.152590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7bed1f34-0cb6-49bb-924c-01518a6e1807 · outbound

This paper cites Composite backdoor attack for deep neural network by mixing existing benign features,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Composite backdoor attack for deep neural network by mixing existing benign features,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.144859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d92956bc-e211-4861-847b-5e76525f8099 · outbound

This paper cites Demon in the variant: Statistical analysis of dnns for robust backdoor con- tamination detection.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Demon in the variant: Statistical analysis of dnns for robust backdoor con- tamination detection

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.136802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e1a77684-9843-4fcc-83dc-88ebc9d09210 · outbound

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

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:20.124030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 084e4b8f-23ca-4a6d-a7b2-058be7845348 · outbound

This paper cites Rethinking the back- door attacks’ triggers: A frequency perspective,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Rethinking the back- door attacks’ triggers: A frequency perspective,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.128719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7d5af119-f2f8-48cb-9ce9-d92e96aaa4be · outbound

This paper cites Backdooring and poisoning neural networks with image-scaling attacks,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Backdooring and poisoning neural networks with image-scaling attacks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.120196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 501f174c-4a01-4299-8f13-6e3d9b901ad7 · outbound

This paper cites Input-aware dynamic backdoor attack,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Input-aware dynamic backdoor attack,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.104190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 933880e6-5850-4ce7-80b0-6b23e1b98d30 · outbound

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

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Invisible backdoor attack with sample-specific triggers,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:27.901901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13b555e0-4f54-4fde-b9ad-dabaab899658 · outbound

This paper cites Condi- tional backdoor attack via jpeg compression,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Condi- tional backdoor attack via jpeg compression,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:27.728222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2e8c53f3-04ab-4597-bedb-c2ff99780c6c · outbound

This paper cites Backdoor attack on deep neural networks in perception domain,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Backdoor attack on deep neural networks in perception domain,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:27.489548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 20ddc3a6-f79f-4884-b099-e7d1d17ecd2a · outbound

This paper cites Influence- driven data poisoning for robust recommender systems,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Influence- driven data poisoning for robust recommender systems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:27.342250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf200b9d-fddf-451b-9602-7ca1e5fa67ef · outbound

This paper cites Poisoning attack against estimating from pairwise comparisons,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Poisoning attack against estimating from pairwise comparisons,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:27.146050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e85f855f-6e5d-441a-a963-58ca07b2f77d · outbound

This paper cites Detecting ai trojans using meta neural analysis,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Detecting ai trojans using meta neural analysis,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:27.030261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 507a7b7c-0205-4422-b3c6-eba5402abeb6 · outbound

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

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Abs: Scanning neural networks for back-doors by artificial brain stimulation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:26.913280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45405262-0559-48e0-987b-cb3a4c121ee2 · outbound

This paper cites Neural cleanse: Identifying and mitigating backdoor attacks in neural networks,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Neural cleanse: Identifying and mitigating backdoor attacks in neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:26.768664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32d0c21e-3c16-4231-bb66-ea729429b76a · outbound

This paper cites Universal detection of backdoor attacks via density-based clustering and centroids analysis,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Universal detection of backdoor attacks via density-based clustering and centroids analysis,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:26.600678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11638299-0fd4-4e6b-b2f0-ba086ed269ac · outbound

This paper cites Neuralsanitizer: Detecting backdoors in neural networks,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Neuralsanitizer: Detecting backdoors in neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:26.423134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52866111-06db-4dcd-8029-e1535300c5fe · outbound

This paper cites Spectral signatures in backdoor attacks,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Spectral signatures in backdoor attacks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:26.268265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37f831e8-ee70-454b-bc6b-b8cc32a0276b · outbound

This paper cites Strip: A defence against trojan attacks on deep neural networks,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Strip: A defence against trojan attacks on deep neural networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:26.116352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bdba729a-104f-4b41-927f-4959ea9d23bb · outbound

This paper cites Detecting backdoors during the inference stage based on corruption robustness consistency,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Detecting backdoors during the inference stage based on corruption robustness consistency,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:25.934863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 695adf13-5f03-4792-8dcb-81820e7c40b2 · outbound

This paper cites Robust backdoor detection for deep learning via topological evolution dynamics,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Robust backdoor detection for deep learning via topological evolution dynamics,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:25.794515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f2e8f74-a879-4bb9-b94f-0a09ee5c87d1 · outbound

This paper cites Revisiting the assumption of latent separability for backdoor defenses,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Revisiting the assumption of latent separability for backdoor defenses,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:25.676036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b24005dd-0565-40a3-b9e4-7d57528186d4 · outbound

This paper cites Bypassing backdoor detection al- gorithms in deep learning,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Bypassing backdoor detection al- gorithms in deep learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:25.529402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e83d7a7b-3fd5-4a85-bdd1-5ae6f84dba5c · outbound

This paper cites Blind backdoors in deep learning models,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Blind backdoors in deep learning models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:25.380451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bbe1ac54-bf63-440c-845c-00a0623991ba · outbound

This paper cites On model outsourcing adaptive attacks to deep learning backdoor defenses,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks On model outsourcing adaptive attacks to deep learning backdoor defenses,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:25.252555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3be42f1-e104-4138-b83f-ea8594f70c90 · outbound

This paper cites Dba: Distributed back- door attacks against federated learning,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Dba: Distributed back- door attacks against federated learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:25.120653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe92b652-c69e-4d52-95b4-d7e56f0173a1 · outbound

This paper cites One-to-n & n-to-one: Two advanced backdoor attacks against deep learning models,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks One-to-n & n-to-one: Two advanced backdoor attacks against deep learning models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:25.014857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed449bb3-80b1-4bda-a27e-ba97acf60baf · outbound

This paper cites A multitarget backdooring attack on deep neural networks with random location trigger,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks A multitarget backdooring attack on deep neural networks with random location trigger,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:24.862130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec7b16cc-8113-48e7-b084-ecaa9a0ed47f · outbound

This paper cites Spectre: Defending against backdoor attacks using robust statistics,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Spectre: Defending against backdoor attacks using robust statistics,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:24.716676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5080476c-f6f4-41d8-a565-9b9465dd67b3 · outbound

This paper cites Backdooring convolutional neural networks via targeted weight perturbations,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Backdooring convolutional neural networks via targeted weight perturbations,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:24.580464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52f18d5c-1e25-4b32-89a6-318308e1203a · outbound

This paper cites An embarrassingly simple approach for trojan attack in deep neural networks,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks An embarrassingly simple approach for trojan attack in deep neural networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:24.439176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e9bdbacf-ac3f-4cf3-8f99-da7a5904ca6d · outbound

This paper cites Odyssey: Creation, analysis and detection of trojan models,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Odyssey: Creation, analysis and detection of trojan models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:24.227444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ab03294-8c14-4815-b7e9-207690d6b300 · outbound

This paper cites Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:22.178809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96b9fb7c-5b06-49de-b746-c6c47ab7bd8d · outbound

This paper cites Backdoor defense via decoupling the training process,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Backdoor defense via decoupling the training process,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:24.027592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a2b26ebd-50cc-45d4-acc2-e77a45af8388 · outbound

This paper cites Defending against backdoor attacks by layer-wise feature analysis,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Defending against backdoor attacks by layer-wise feature analysis,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:23.810097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 434e833e-c9ae-4cdc-88e3-f330493f2b2e · outbound

This paper cites Modularity and community structure in networks,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Modularity and community structure in networks,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:22.374798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e630290-24f4-4138-812f-302aa243ca3d · outbound

This paper cites Community detection in graphs,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Community detection in graphs,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:22.483050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8486ee6-077b-4031-847d-c58a9b903a63 · outbound

This paper cites Pyod: A python toolbox for scalable outlier detection,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Pyod: A python toolbox for scalable outlier detection,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:22.520337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d28b8ab2-c1d5-4fcb-89a6-c676cef23b94 · outbound

This paper cites The cifar-10 dataset,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks The cifar-10 dataset,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:23.592352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1577b5ae-bdc1-44c9-bc8b-afa41f870f22 · outbound

This paper cites Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:23.381078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1b63b13f-f4a8-4c53-9a03-a62ec5935639 · outbound

This paper cites Deep residual learning for image recognition,.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Deep residual learning for image recognition,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:22.841169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21e3bbca-7535-4e3c-9233-4d39517f86a3 · outbound

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

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Imagenet: A large-scale hierarchical image database,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:23.228441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.