Pith. sign in

Paper Citation Record · LEDGER

XGBD: Explanation-Guided Graph Backdoor Detection

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.04406.

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

pith.paper-citation-record.v1
2308.04406 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:10:32.170969Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:48:47.594722Z

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 1e04fdef-ff7a-4e68-91fd-055a1eecaee9 · 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 XGBD: Explanation-Guided Graph Backdoor Detection

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:48:47.597506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T02:46:59.823305Z digest=sha256:c5a6f8e8fccdaf8985486b0da4091a07acce330738a0a6b2dd6b0b8fb72857ab

Observation a8a74020-3730-41f2-9069-12dafadb2a6a · inbound

Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data cites this paper.

Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data XGBD: Explanation-Guided Graph Backdoor Detection

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:32.170969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:10:32.170969Z digest=sha256:eb0cb39ffa7344351c5ced3f93730a38c48b2ae9c234e391f2b2bf17fa114604