Paper Citation Record · LEDGER

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 4 inbound Pith citation observations for arXiv:2411.16512.

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

pith.paper-citation-record.v1
2411.16512 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:05:14.436196Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:20:05.558855Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T06:00:04.324105Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy2
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4450191b-7489-4357-b598-daf6e9e0d7a7 · outbound

This paper cites GPT-4 Technical Report.

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:14.320917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e17e80d9-de57-4345-84f7-4cc7484a19e2 · outbound

This paper cites BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning.

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:14.392424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26685761-9952-4cdc-945f-2bcae0169b44 · outbound

This paper cites Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:14.401014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55380ac0-af6f-4ad2-902e-228cc125caf9 · outbound

This paper cites Post-hoc Concept Bottleneck Models.

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models Post-hoc Concept Bottleneck Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:14.412437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff9d2d66-7578-4f24-b19b-8172685543f2 · outbound

This paper cites Our ConceptGuard clusters the concept components into groups within the concept vector first.

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models Our ConceptGuard clusters the concept components into groups within the concept vector first

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:05:14.774624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1e42b8b9-b874-4132-bbdd-20836893ccff · outbound

This paper cites Label-Free Concept Bottleneck Models.

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models Label-Free Concept Bottleneck Models

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:14.371237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31bcbe6d-4ad7-42c9-bc1a-e7759dd5c78a · outbound

This paper cites For one sub-model, the input dimension for the MLP will be the number of concepts in the corresponding group.

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models For one sub-model, the input dimension for the MLP will be the number of concepts in the corresponding group

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:05:14.747150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d02db586-038e-4786-a48c-f6d161d2d39b · outbound

This paper cites Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models.

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:14.348841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 246d0b15-766a-4db2-9df0-5b103d9772c7 · outbound

This paper cites CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models.

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:14.355331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aec288b-b3fa-4ba2-ade7-1b7e70a981a7 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models The caltech-ucsd birds-200-2011 dataset

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:14.380550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9505d8-47e5-4c9b-9df5-ab354e6d8b2b · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:14.335989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d16f07-04d4-4084-922f-229987cef797 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models Efficient Estimation of Word Representations in Vector Space

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T13:05:14.362521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6712675f-d1b1-4f20-a6f5-3f9cac9dc804 · inbound

A Comprehensive Survey on the Risks and Limitations of Concept-based Models cites this paper.

A Comprehensive Survey on the Risks and Limitations of Concept-based Models Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T14:24:33.427881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a80d91e5-6b41-4a5d-95c3-a0ac93c51856 · inbound

Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017 cites this paper.

Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017 Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:19:27.522737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 079a5ad6-199d-4e6d-a2b7-731209a3ab44 · inbound

When Efficiency Becomes Fragility: Exploiting Dynamic Routing Vulnerabilities in Adaptive UAV Tracking cites this paper.

When Efficiency Becomes Fragility: Exploiting Dynamic Routing Vulnerabilities in Adaptive UAV Tracking Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-05T06:00:04.328187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16e94be0-b0b3-4bd4-b9ec-49f252baaeb8 · inbound

When Efficiency Becomes Fragility: Exploiting Dynamic Routing Vulnerabilities in Adaptive UAV Tracking cites this paper.

When Efficiency Becomes Fragility: Exploiting Dynamic Routing Vulnerabilities in Adaptive UAV Tracking Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T04:20:05.558855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.