Paper Citation Record · LEDGER

Lie Detector: Unified Backdoor Detection via Cross-Examination Framework

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.16872.

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

pith.paper-citation-record.v1
2503.16872 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 2026-08-15T23:13:47.473794Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:44:55.738291Z

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 05620809-b67d-4be2-b8b6-1ed9016aedc4 · inbound

MTL-UE: Learning to Learn Nothing for Multi-Task Learning cites this paper.

MTL-UE: Learning to Learn Nothing for Multi-Task Learning Lie Detector: Unified Backdoor Detection via Cross-Examination Framework

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T23:13:47.473794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da1835a-9c72-4b2b-bd5f-533cff141100 · inbound

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models cites this paper.

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models Lie Detector: Unified Backdoor Detection via Cross-Examination Framework

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:05:49.273916Z

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 0587c3e2-7e79-4ed5-ac56-dc668cbeefe7 · inbound

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting cites this paper.

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting Lie Detector: Unified Backdoor Detection via Cross-Examination Framework

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:31:07.610560Z

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 6e17cf16-0073-41fa-9576-1f70de5f4b52 · inbound

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting cites this paper.

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting Lie Detector: Unified Backdoor Detection via Cross-Examination Framework

Reference 2

Resolution: malformed identifier; arxiv_id, observed 2026-06-30T16:44:55.740100Z

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.