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Paper Citation Record · LEDGER

Adversarial NLI: A New Benchmark for Natural Language Understanding

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:1910.14599.

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

pith.paper-citation-record.v1
1910.14599 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:41:18.692574Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-24T12:14:26.568820Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 ae9ceb3c-0ab7-46b5-a819-23e5df672d53 · inbound

Language Models are Few-Shot Learners cites this paper.

Language Models are Few-Shot Learners Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:05:38.370674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T12:05:38.045330Z digest=sha256:d83183b1c702c4a2f33ead49ae3ed001fc31c13575d0646bc4ffe6c5fcb2bfe1

Observation 09468599-d6d5-4cac-afe2-23c0858f988f · inbound

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity cites this paper.

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T23:57:11.091458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T23:57:10.953617Z digest=sha256:048e31bbe740c93ea0bb91fa203c58eea08ddd3900b5acf292f75bdd4bfb86fe

Observation f5747286-3a03-4bc4-8303-b01f73c50a65 · inbound

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model cites this paper.

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-24T12:14:26.572461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-24T12:10:49.690618Z digest=sha256:f22625e28cd0450670bb6dd9bf8e60f6f3c1a70610d33f087265aaf2c57473d0

Observation 83d1b700-bc47-4f6d-b8c6-011b80424adc · inbound

ST-MoE: Designing Stable and Transferable Sparse Expert Models cites this paper.

ST-MoE: Designing Stable and Transferable Sparse Expert Models Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 181

Resolution
verified exact
arxiv_id, observed 2026-05-12T23:14:25.711127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-12T23:14:25.431471Z digest=sha256:48623bb6b60c8ec97a0465a231f1148c7e867f4ebc1462f302239cd4548a816c

Observation 1eb3af11-04ed-4efc-88ce-8ec99692e2bf · inbound

PaLM: Scaling Language Modeling with Pathways cites this paper.

PaLM: Scaling Language Modeling with Pathways Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:45:07.302546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T23:45:06.755839Z digest=sha256:d95f3bbf93612bd395aff67315e059a031985470b1faafacf34dabf7dd4d8ea9

Observation 7536e5b6-72e0-4e07-8c15-d282a1806d1f · inbound

The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only cites this paper.

The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:43:45.867277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T20:43:45.770157Z digest=sha256:0b3d3ca26dd0285c1077a5f13b3e94d5821e03bc54c78dc988e0c34d014316ab

Observation fd75035f-d97b-4674-bbd4-e60da90720f1 · inbound

On Adversarial Robustness and Out-of-Distribution Robustness of Large Language Models cites this paper.

On Adversarial Robustness and Out-of-Distribution Robustness of Large Language Models Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T15:55:06.835683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:55:06.835683Z digest=sha256:72767b231e4938cc4fc56c3d390323fb863e51be7cae811307daf4287e3a0db4

Observation 0eae67c4-5996-48c7-a4ed-27922c8e16b0 · inbound

Entailed Between the Lines: Incorporating Implication into NLI cites this paper.

Entailed Between the Lines: Incorporating Implication into NLI Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T20:41:35.809287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:41:35.809287Z digest=sha256:2ec39ddbd2633bcca7c02b4e99925fd315478a8a43af9ca9f38747791c17d4b8

Observation c8b692e0-1fa8-4884-af36-e51b1e4e1f2a · inbound

Humanity's Last Exam cites this paper.

Humanity's Last Exam Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-10T18:40:50.399670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T18:40:50.139345Z digest=sha256:db587f04f5f4b55a152f00330395b201174d72f9365b0a27d570f51f90154d10

Observation da8f1bae-c513-447a-8f22-f88e60db5f5d · inbound

CRAVE: A Conflicting Reasoning Approach for Explainable Claim Verification Using LLMs cites this paper.

CRAVE: A Conflicting Reasoning Approach for Explainable Claim Verification Using LLMs Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-16T11:41:18.692574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:41:18.692574Z digest=sha256:0e14421ecb834a253bbeb235e783fac314be645de9bdb71106a5aa6026846457

Observation b020f3b3-9062-4225-9d20-daf96b9feacc · inbound

aiXamine: Simplified LLM Safety and Security cites this paper.

aiXamine: Simplified LLM Safety and Security Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:11.000830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:39:11.000830Z digest=sha256:02a1f1341b65d6f9df8a9fdf3e12b2e4acab60a7c44e80b9cd3dd71db702e707

Observation 21139145-3b2a-4d6b-87b6-ac588796399d · inbound

PRIMETIME : Limits of LLMs in Temporal Primitives cites this paper.

PRIMETIME : Limits of LLMs in Temporal Primitives Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:36:58.812660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T18:36:48.376877Z digest=sha256:c27f947894e24425129508e5a3b2fb217c0700d9d309133c6e48dc673c3fba46

Observation cdcb8956-cdec-48cc-9ecf-5808c8df91cc · inbound

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability cites this paper.

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:23.231514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:40:23.231514Z digest=sha256:f0a5d70f7cf29cdb6ddd9a24dda0bdf0e66d4dd50b3e1edcd201a04ba1d6f27f

Observation 0d26c430-9e59-42db-a2c5-8ede77ffc4e5 · inbound

Towards Compute-Optimal Many-Shot In-Context Learning cites this paper.

Towards Compute-Optimal Many-Shot In-Context Learning Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T15:20:38.699188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:38.699188Z digest=sha256:0adbd55f148be9234dd5e5118d0e90bc4051f28768f847f20fb8b745bcd2f542

Observation 6be12265-cb08-4041-af5c-18cae84810c3 · inbound

Agentic Web: Weaving the Next Web with AI Agents cites this paper.

Agentic Web: Weaving the Next Web with AI Agents Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 157

Resolution
unresolved
no resolver link, observed 2026-08-06T13:05:39.680973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T13:05:39.680973Z digest=sha256:e35b0baf6f2882de2476ea178f8dc8d5f1de551c82c6e93059fc2bdb666aec67

Observation 245d3ba9-c7bf-43e7-b42b-300f1acda00d · inbound

DELIVER: A System for LLM-Guided Coordinated Multi-Robot Pickup and Delivery using Voronoi-Based Relay Planning cites this paper.

DELIVER: A System for LLM-Guided Coordinated Multi-Robot Pickup and Delivery using Voronoi-Based Relay Planning Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T16:00:54.958576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:00:54.958576Z digest=sha256:0fa0d6cd89efe0ef7c771f7d017147d90a52485d132c7c473c00392a23c40cc2

Observation ff809312-1a6c-4520-ac30-888b06ceaf4e · inbound

MERGE: Minimal Expression-Replacement GEneralization Test for Natural Language Inference cites this paper.

MERGE: Minimal Expression-Replacement GEneralization Test for Natural Language Inference Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T15:47:48.519412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:47:48.519412Z digest=sha256:835a3646968965e28a9c4168cfbc4b8fdc9b9ea920aa0044ff2b28a837cb2854