Paper Citation Record · LEDGER

ERASER: A Benchmark to Evaluate Rationalized NLP Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1911.03429.

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

pith.paper-citation-record.v1
1911.03429 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:35:42.667856Z

measured 0 of 1 external citation measurements

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
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malformed identifier0
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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 2026-08-08T06:32:00.761636+00:00.

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