Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ERASER: A Benchmark to Evaluate Rationalized NLP Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1911.03429.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T04:59:50.647038Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 be1f9714-3957-4ce4-92c4-9c8dc1c8a50a · inbound
Explaining the Explainers in Graph Neural Networks: a Comparative Study cites this paper.
Explaining the Explainers in Graph Neural Networks: a Comparative Study ERASER: A Benchmark to Evaluate Rationalized NLP Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T11:04:22.299248Z
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 fea4756c-0f18-499d-87dc-2242fc62c736 · inbound
Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons cites this paper.
Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons ERASER: A Benchmark to Evaluate Rationalized NLP Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:59:50.647038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45b93dc5-4227-475a-9f92-ee852864aeb3 · inbound
The Science of Evaluating Foundation Models cites this paper.
The Science of Evaluating Foundation Models ERASER: A Benchmark to Evaluate Rationalized NLP Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:35:42.667856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da7f39e7-a5c7-4edf-bc4e-d1c50dedba95 · inbound
Can human clinical rationales improve the performance and explainability of clinical text classification models? cites this paper.
Can human clinical rationales improve the performance and explainability of clinical text classification models? ERASER: A Benchmark to Evaluate Rationalized NLP Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:00:04.242009Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d188f26-91a7-4295-9262-2584fb9d8ce0 · inbound
Explainable AI: Context-Aware Layer-Wise Integrated Gradients for Explaining Transformer Models cites this paper.
Explainable AI: Context-Aware Layer-Wise Integrated Gradients for Explaining Transformer Models ERASER: A Benchmark to Evaluate Rationalized NLP Models
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T12:50:09.348931Z
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 5b8fd180-8f36-4745-9d38-799418957ceb · inbound
Interpretability Can Be Actionable cites this paper.
Interpretability Can Be Actionable ERASER: A Benchmark to Evaluate Rationalized NLP Models
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T06:17:23.256540Z
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 fa62108e-f183-4c5a-90ad-b534165adb00 · inbound
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers ERASER: A Benchmark to Evaluate Rationalized NLP Models
Reference 142
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T23:32:46.632994Z
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 4490860b-f23f-4ab3-a6a4-f80872ae01c0 · inbound
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers ERASER: A Benchmark to Evaluate Rationalized NLP Models
Reference 155
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T23:32:47.311023Z
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 34eec925-9647-464a-96cc-789f3fd502a9 · inbound
Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods cites this paper.
Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods ERASER: A Benchmark to Evaluate Rationalized NLP Models
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T10:46:54.535565Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f4cba32-e3a4-494d-a961-9e46cfd206f7 · inbound
A Multi-Dimensional Evaluation of Explainability in Media Bias Detection cites this paper.
A Multi-Dimensional Evaluation of Explainability in Media Bias Detection ERASER: A Benchmark to Evaluate Rationalized NLP Models
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:15:44.445711Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.