Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question Answering
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.02701.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:03.914437Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T14:45:20.805811Z
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 281ab2b1-6c49-4ffd-b726-ab9f667a8dad · inbound
SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing cites this paper.
SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question Answering
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:45:03.914437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 945abdb6-f726-4778-be18-a602c55ed7d2 · inbound
From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models cites this paper.
From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question Answering
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T14:45:20.809523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.