Paper Citation Record · LEDGER

Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2101.00288.

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

pith.paper-citation-record.v1
2101.00288 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:50.654983Z

measured 0 of 1 external citation measurements

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 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.