Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2101.00288.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:22:29.063214Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T05:17:05.892213Z
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 4967e378-4854-41ca-bcab-a0c2b723200c · inbound
Admitting Ignorance Helps the Video Question Answering Models to Answer cites this paper.
Admitting Ignorance Helps the Video Question Answering Models to Answer Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:22:29.063214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35d88d3e-ee16-40af-a2e3-7b123e1db026 · inbound
UGCE: User-Guided Incremental Counterfactual Exploration cites this paper.
UGCE: User-Guided Incremental Counterfactual Exploration Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:50.654983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 462350e6-bd9a-481a-afee-7fd0a20941e3 · inbound
Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling cites this paper.
Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T05:17:05.895871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 02de2688-ed5e-453e-aedd-b37de604537e · inbound
Evalet: Evaluating Large Language Models through Functional Fragmentation cites this paper.
Evalet: Evaluating Large Language Models through Functional Fragmentation Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:01:39.922610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9de014ff-77c4-4893-b9a3-54f1e441840d · inbound
Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults cites this paper.
Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T14:12:58.585150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.