Paper Citation Record · LEDGER

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning

As of 11 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2508.05404.

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

pith.paper-citation-record.v1
2508.05404 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:24:05.310742Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

47 of 47 outbound references displayed

verified exact0
verified fuzzy7
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf9ecc33-9232-44d9-92ab-7ee498607b92 · outbound

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

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:03.228270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cceba70b-4e20-4123-adc1-07daf8a370ba · outbound

This paper cites Distilling the Knowledge in a Neural Network.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Distilling the Knowledge in a Neural Network

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:03.261013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6cf34c1-32a0-4e95-a0fc-623fb3cfe3ba · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.889174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84ae4f14-53d6-4d1d-b04a-b1df7c024c07 · outbound

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

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:03.420014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d776407-131a-4873-82ec-1c7aad29aaa2 · outbound

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

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:03.476827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24a6079f-2e71-4ad3-90e9-d978aa87763e · outbound

This paper cites WaNet -- Imperceptible Warping-based Backdoor Attack.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning WaNet -- Imperceptible Warping-based Backdoor Attack

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:03.567013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14efb9be-c45e-459c-afb8-a4281c8759eb · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.878088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eb199a9c-e0c3-4fc2-8e44-4d1516d1f541 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.867590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 164041cd-a0fa-46ed-a6e7-aeb5e5b69a81 · outbound

This paper cites Label-Consistent Backdoor Attacks.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Label-Consistent Backdoor Attacks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:03.801970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b26b0d5f-497a-47ad-b1e4-e3c6f8670da9 · outbound

This paper cites Barni, K.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Barni, K

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:24:05.857127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4866b808-5ba9-4a42-8b05-442f787a30ea · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.847084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a128b3c-56d2-4cc1-a5ad-a2c2af8f5529 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.836936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20f5cfe1-c749-4cf5-9f5f-8d8072340fb3 · outbound

This paper cites Label Refinery: Improving ImageNet Classification through Label Progression.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Label Refinery: Improving ImageNet Classification through Label Progression

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:04.143167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd64d2ad-0829-4dda-baa5-3f250af11a1d · outbound

This paper cites Krizhevsky, G.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Krizhevsky, G

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:04.146630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9228ea17-a1c0-47ad-99f4-e0f2dc3226a6 · outbound

This paper cites Stallkamp, M.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Stallkamp, M

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:24:05.821732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b23f822-ddbf-43d0-8aae-5bdbf9e40c6a · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.811186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8587f822-66cd-45ea-9520-ba0deb2a4116 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.800822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8420c489-9cfc-4025-b1ec-91fc1fd04aa3 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.791089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f33e54b4-c4cc-4b43-9043-089e9cf153ae · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.781845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68a2330b-110f-40f2-81f5-99dd95dc0799 · outbound

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

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:04.443794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f5f66b0-c20e-4b9c-b006-fd0ad3b54363 · outbound

This paper cites Backdoor Defense via Decoupling the Training Process.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Backdoor Defense via Decoupling the Training Process

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:04.556438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1df41d4d-2306-4c95-9e8e-40deecac403b · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.771727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 680f5888-18b2-4ab4-8cfa-fd351a8df327 · outbound

This paper cites Udeshi, S.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Udeshi, S

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:24:05.760761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bab4564f-b90d-43d9-8099-ccf2e1879ce1 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.751714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 73547c01-8b65-4881-a145-d68c11287443 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.742623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a217c6e-5d81-4377-a416-4ae69d700a56 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.732807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e96809b1-8350-46b2-9ef1-d69bdb7666ae · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.722852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d255de45-7389-4303-9b59-1e241b7a22ff · outbound

This paper cites Wu and Y.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Wu and Y

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:24:05.712315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f8789087-8ff7-4b31-aca7-62252c9a1b91 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.702025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45275bd6-4edf-47db-b5ff-ee304687ff06 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.691044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 760415a3-a482-471e-9173-b23cbbe25553 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.681787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 222682d7-eb42-41d8-b29e-8de46696189d · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.672206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b925c3ec-1770-4e3e-93eb-a26e87eaa840 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.660570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 63c22160-5e2d-413b-bee0-bd1135916155 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.650648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7c32960-5cb6-44a2-aad4-2c65d6b887d3 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning FitNets: Hints for Thin Deep Nets

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:05.278365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69a44137-d89c-4a29-bf5b-edf7974dadd6 · outbound

This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:05.281446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac7eb9c-760b-4170-b033-5101918f3631 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.640113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ae70889f-9809-4a47-ac67-2b4f42c0da31 · outbound

This paper cites Zhang, T.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Zhang, T

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:24:05.630057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce7d5e8d-dc11-4f83-8679-615befc35d19 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.619589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5c36846c-d052-4c7a-aff4-181290131225 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.607233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d94068db-bd9f-41e1-b71c-c6b86ad0de28 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.595455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b025c6b4-7a57-4e6b-b34f-f90a267ce699 · outbound

This paper cites Zhang, J.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Zhang, J

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:24:05.584491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 303f81e1-bd7e-4386-98f2-9c7bc2934708 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.573424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 73ffe036-830c-4eb0-949c-da7c555786f3 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.562101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2ba7aaa-d11d-4777-8447-00b72e2bff92 · outbound

This paper cites Van der Maaten and G.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Van der Maaten and G

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:05.305693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a1853a7-2565-4c85-bcdd-1de1fa337553 · outbound

This paper cites an unresolved cited work.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:24:05.545794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4f6a6e1-cadc-4277-b434-37e6671de8bf · outbound

This paper cites Akiba, S.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Akiba, S

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:24:05.534826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.