Paper Citation Record · LEDGER

TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1908.01763.

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

pith.paper-citation-record.v1
1908.01763 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:07.266216Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:56:11.282031Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 41a05183-14ee-48d1-8f00-ac4f2e1ba8d7 · inbound

Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics cites this paper.

Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:48:47.581951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2bc63cf0-9ee8-44fc-8664-0feab63fafb5 · inbound

DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning cites this paper.

DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:58:17.109700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed4b9740-85bf-4bfb-96f6-1771e2c9f968 · inbound

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning cites this paper.

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:58:07.266216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76d91001-a3f6-4954-a453-900ac11b2e6d · inbound

Backdoor Attacks and Defenses in Computer Vision Domain: A Survey cites this paper.

Backdoor Attacks and Defenses in Computer Vision Domain: A Survey TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T22:06:30.346108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ff0ca1a-a84e-468e-985c-f5f4aa8d963f · inbound

Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions cites this paper.

Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:11:12.625487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff007591-ce36-4c93-9516-77a01668e54b · inbound

Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions cites this paper.

Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T17:35:56.649298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 695fa47c-149b-4249-85d0-b2c82c05dd48 · inbound

Detecting Trojaned DNNs via Spectral Regression Analysis cites this paper.

Detecting Trojaned DNNs via Spectral Regression Analysis TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T04:03:56.625899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12a0e800-757f-489b-97ed-459b229176e7 · inbound

BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning cites this paper.

BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:56:11.283546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8b47b2ad-6416-4183-817b-59fe26216511 · inbound

Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks cites this paper.

Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-13T02:46:49.236604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.