Paper Citation Record · LEDGER

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2110.07831.

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

pith.paper-citation-record.v1
2110.07831 v1

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:34.294487Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T22:32:12.966711Z

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 b8439449-154b-4f34-aad4-6dd9f6288b5e · inbound

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics cites this paper.

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:32:12.969005Z

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 b6ac111a-005d-4f9f-ab65-c9bf547ee782 · inbound

A Systematic Review of Poisoning Attacks Against Large Language Models cites this paper.

A Systematic Review of Poisoning Attacks Against Large Language Models RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:34.294487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acca5bd7-abbf-4f1d-ae87-a3ac034cccb7 · inbound

Your Agent Can Defend Itself against Backdoor Attacks cites this paper.

Your Agent Can Defend Itself against Backdoor Attacks RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:51.539219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0c7527-3eaa-49d3-af59-51a7c0cb5075 · inbound

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution cites this paper.

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T14:42:31.539194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.