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Paper Citation Record · LEDGER

ERASER: A Benchmark to Evaluate Rationalized NLP Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:21:52.957835Z

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

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  • verified fuzzy0
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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T11:00:19.591474Z digest=sha256:a2a1ddf64d1126ef1be711211492eaa7a790ab9e9c73fc2301ad5e2b6b636165

Observation 577d3a38-a32c-40bc-9fab-c06c2b441e90 · inbound

Can Highlighting Help GitHub Maintainers Track Security Fixes? cites this paper.

Can Highlighting Help GitHub Maintainers Track Security Fixes? ERASER: A Benchmark to Evaluate Rationalized NLP Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T18:21:52.957835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:21:52.957835Z digest=sha256:dee38e1d35c265220f9014f214f8a8c3aa4c3b4073e30bae61ed58f0b8a0bd51

Observation be7453bc-0fcb-4a6f-a7d6-6aecda96ce3f · inbound

Explainable artificial intelligence (XAI): from inherent explainability to large language models cites this paper.

Explainable artificial intelligence (XAI): from inherent explainability to large language models ERASER: A Benchmark to Evaluate Rationalized NLP Models

Reference 171

Resolution
unresolved
no resolver link, observed 2026-08-10T19:32:13.110505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:32:13.110505Z digest=sha256:cfd3e621b9ea383cf8e9252480731b521d87eda24f94d9023a9bddc5f1c91b2e

Observation 209091cc-70c4-4f52-bcaa-01cababfda09 · inbound

Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models cites this paper.

Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models ERASER: A Benchmark to Evaluate Rationalized NLP Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T14:25:18.533981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:25:18.533981Z digest=sha256:6a5d0c56969efacada45c1cc5f4d4075b8fa698a408b67b4d8a110a5c5ab3590

Observation 56bb3b66-d71e-4900-bec5-5512155a52c6 · inbound

Main Predicate and Their Arguments as Explanation Signals For Intent Classification cites this paper.

Main Predicate and Their Arguments as Explanation Signals For Intent Classification ERASER: A Benchmark to Evaluate Rationalized NLP Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T15:55:32.457579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T15:55:32.457579Z digest=sha256:d4be479b8fc2adc5d0909bf5572c7846a33f555bf954fec49ed6742922a3c129

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.

source=pdf_text observed=2026-08-09T04:59:50.647038Z digest=sha256:3ab8753590f749f5342f6f1339563b54f94bcb3d5e3874ced283ead5ae18ba62

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.

source=pdf_text observed=2026-08-07T23:35:42.667856Z digest=sha256:eb8effdafb6745c400f46a0271bb8df82becaeeb366e61f86e2ada6ba3e9150c

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.

source=pdf_text observed=2026-08-06T13:00:04.242009Z digest=sha256:28ababf0ab3cbeaa95f85c3a276225d3660ed3474eb76cc5540d452f6fb6021e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T12:46:59.419162Z digest=sha256:4c3fa2bda22656217288d48d29a00f85501287fb36f1b400e0d5138bc92ed65b

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-13T06:12:51.656452Z digest=sha256:fb2135b22168c858d428d3f7b41727e726220d70e7ccaf4b5a3f3897a1ae758f

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T23:29:02.457697Z digest=sha256:c72e8aa9a1d5128e66d6f0a4b8ac0246b7ae639fb2c653450cb99fcd773102bc

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T23:29:02.457697Z digest=sha256:19be060932e574e064916ced0730f7ff885ad09a4e3203b3ffec90fd0ad1be97

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.

source=arxiv_source observed=2026-08-02T10:46:54.535565Z digest=sha256:f8b58eac07991db5c05021d5a758aae3e1caa9749bce056269e2447ed51e6a08

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.

source=arxiv_source observed=2026-08-01T11:15:44.445711Z digest=sha256:23bea53ef3490ab40d305ba06c086e86c9c34fdd4e4994329074668ca0425b77