Paper Citation Record · LEDGER

RoBERTa: A Robustly Optimized BERT Pretraining Approach

As of 24 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 100 inbound Pith citation observations for arXiv:1907.11692.

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

pith.paper-citation-record.v1
1907.11692 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T04:47:43.784327Z

measured 151 of 151 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 100 of 1743 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:28:07.412371Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:47:48.334341Z

Reference resolution

51 of 51 outbound references displayed

verified exact18
verified fuzzy0
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42b310f6-a40e-482a-a814-4525d4b58c82 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.567388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2869ce48-f10a-4448-baf5-f7d6367d6f22 · outbound

This paper cites Cloze-driven Pretraining of Self-attention Networks.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Cloze-driven Pretraining of Self-attention Networks

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.431266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e3150b9c-1c2a-4bab-b1a1-291f0251c0a3 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.577859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6d93e9f6-94f2-4fbe-b439-2e086ec340e4 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.581367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c932573-ced8-48ab-9582-33d9e2c391ce · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.583299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 168e1a3a-ad70-418e-a2e0-f45aa600d78e · outbound

This paper cites KERMIT: Generative Insertion-Based Modeling for Sequences.

RoBERTa: A Robustly Optimized BERT Pretraining Approach KERMIT: Generative Insertion-Based Modeling for Sequences

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.445584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 89ec54e3-e658-4f01-8309-e4a3e914bcd3 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.585139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 567b5f2d-f1f6-4a90-a0fb-862828d8ff69 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.589631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 62ad42ae-26ab-4308-a215-283a4bbb342d · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.592974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1a6f9557-6ae7-4c7d-b8b9-7eed8ec88625 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.595306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3f5a24a9-38f9-47eb-b8ce-585ac9cabce6 · outbound

This paper cites Unified Language Model Pre-training for Natural Language Understanding and Generation.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.486013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68edb794-3ad0-42c6-abd9-1ee02abe2a5c · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.608115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation df65ae48-1b2a-41c6-841f-38e4d423b443 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.610400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e91828c3-ebd7-4513-946b-06527a2b343d · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.615108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 116ed174-51e1-40cb-a943-576394a75619 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

RoBERTa: A Robustly Optimized BERT Pretraining Approach Gaussian Error Linear Units (GELUs)

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.408621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f9836d9-fc5e-4ecf-9407-4b2ac2db4166 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.617400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation caf21d04-95a5-43a9-a2c7-354bc3a6b94a · outbound

This paper cites Universal Language Model Fine-tuning for Text Classification.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Universal Language Model Fine-tuning for Text Classification

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.438569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80d780f9-fbfb-4a20-bc38-8b5cf32f6ad4 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.623451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a0ca66fe-ea1f-4119-a519-3abbb8b02c74 · outbound

This paper cites SpanBERT: Improving Pre-training by Representing and Predicting Spans.

RoBERTa: A Robustly Optimized BERT Pretraining Approach SpanBERT: Improving Pre-training by Representing and Predicting Spans

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T04:47:44.471482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 61ae08bd-2c4d-4078-9bb3-b91350666f12 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.627157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation deaddbce-8ace-4223-a2c5-6dee7cdf9e0e · outbound

This paper cites A Surprisingly Robust Trick for Winograd Schema Challenge.

RoBERTa: A Robustly Optimized BERT Pretraining Approach A Surprisingly Robust Trick for Winograd Schema Challenge

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.494874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 382a824c-6500-4467-8cb7-f38dac1fcc50 · outbound

This paper cites RACE: Large-scale ReAding Comprehension Dataset From Examinations.

RoBERTa: A Robustly Optimized BERT Pretraining Approach RACE: Large-scale ReAding Comprehension Dataset From Examinations

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.381582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f06b988-92ff-44a3-b31c-534cbd3754e5 · outbound

This paper cites Cross-lingual Language Model Pretraining.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Cross-lingual Language Model Pretraining

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.396678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4d735df-503a-4d06-bd9b-2d0f6f71144e · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.630673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 09067d6e-ede4-4afc-a354-aa376cbfba05 · outbound

This paper cites Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.419233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a30af3ea-b967-4c99-b6a9-64bc633b8514 · outbound

This paper cites Multi-Task Deep Neural Networks for Natural Language Understanding.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Multi-Task Deep Neural Networks for Natural Language Understanding

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.425009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 04286537-edc2-4353-8dbc-abac69270a80 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.634257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8892cedc-ecde-4c67-95fa-f93b5d390e10 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.640820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 27445044-287e-4323-8b53-92bd6fe48712 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.643803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c415c121-c53c-4775-999f-b0e8215d603a · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.645841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5af010d9-ed9f-4ab7-8f6d-fb8717ae553d · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.519190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff3a61f6-6817-4c46-8ba4-79c9d6d80e7c · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.522217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2c33d10d-fc97-4baf-8483-7efcfedaf27e · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.527608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f7b0ebc4-60a4-4f48-88ec-523716b270da · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.535594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f38e906e-8a5b-43c7-8ff6-09f83a9520f7 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.540196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b31be48-e20b-4984-9de4-40eb5a02a471 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.543813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e4801fd6-fd3b-4ba7-8e7c-b38a30490495 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.547454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 745733d3-1c9f-499a-a6cd-0fdfa3ddf07d · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.552186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a0fe0227-bd3e-4b92-811e-3392ce391a6a · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.557090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6c173e8b-0508-4e44-98b8-9d9d714b79f0 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.559545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ebda2bb5-a438-4aae-97b8-11362c6302aa · outbound

This paper cites ERNIE: Enhanced Representation through Knowledge Integration.

RoBERTa: A Robustly Optimized BERT Pretraining Approach ERNIE: Enhanced Representation through Knowledge Integration

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.449437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 79737f3f-50f7-4f74-8619-64cad06624eb · outbound

This paper cites A Simple Method for Commonsense Reasoning.

RoBERTa: A Robustly Optimized BERT Pretraining Approach A Simple Method for Commonsense Reasoning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.459190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e49a579-998a-42e2-9ad5-b15f14a338a9 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.565018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d8fe8a63-2265-4180-8bb7-7bdb5cc32dc1 · outbound

This paper cites SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems.

RoBERTa: A Robustly Optimized BERT Pretraining Approach SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7f57bd08-8109-44c9-a39e-9ac67f346697 · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.575034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a47ce014-e42f-4cb9-b107-931ebce220dd · outbound

This paper cites Neural Network Acceptability Judgments.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Neural Network Acceptability Judgments

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.491477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b401f9b6-cab9-4fbd-a90e-afdb2242bd3d · outbound

This paper cites an unresolved cited work.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:47:44.569659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7f265c45-b424-4fae-924f-77db0afb45f5 · outbound

This paper cites XLNet: Generalized Autoregressive Pretraining for Language Understanding.

RoBERTa: A Robustly Optimized BERT Pretraining Approach XLNet: Generalized Autoregressive Pretraining for Language Understanding

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:29:27.629409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ad21350-3562-4aff-94f0-c08159090a27 · outbound

This paper cites Large Batch Optimization for Deep Learning: Training BERT in 76 minutes.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:39:00.104164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 72101c75-c640-4643-afa0-fee0815a087f · outbound

This paper cites Defending Against Neural Fake News.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Defending Against Neural Fake News

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.510678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 50ea6f9e-85ef-4729-a8e5-a723b1985122 · outbound

This paper cites Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.516702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 05ee0b1f-83b4-4a89-8768-f3e2bc07e3ce · inbound

XLNet: Generalized Autoregressive Pretraining for Language Understanding cites this paper.

XLNet: Generalized Autoregressive Pretraining for Language Understanding RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:29:27.514572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 171e4bee-62fa-47a7-ba21-135b5701fd6f · inbound

On the Variance of the Adaptive Learning Rate and Beyond cites this paper.

On the Variance of the Adaptive Learning Rate and Beyond RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 2018

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Observation d12daa22-ff2d-4e85-9343-03f53a22e7ff · inbound

On Identifiability in Transformers cites this paper.

On Identifiability in Transformers RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 20

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Unavailable: canonical work link unavailable.

Observation 48b3c4aa-e5c5-4376-9009-350b33d16acc · inbound

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding cites this paper.

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 15

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Observation f9e48b4a-e4e9-4f9b-97cd-cad56cee18e3 · inbound

SenseBERT: Driving Some Sense into BERT cites this paper.

SenseBERT: Driving Some Sense into BERT RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 13

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Observation 6bca7d63-b134-421b-a982-2ef12eeea35c · inbound

Reasoning Over Paragraph Effects in Situations cites this paper.

Reasoning Over Paragraph Effects in Situations RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 12

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Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training cites this paper.

Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 11

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Observation dda9fb00-f13c-48bd-bf24-b83017e768cb · inbound

Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models cites this paper.

Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 6

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A Multi-Turn Emotionally Engaging Dialog Model cites this paper.

A Multi-Turn Emotionally Engaging Dialog Model RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 33

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Observation d4f101d8-78ed-4421-bfd3-1e72d94d96a1 · inbound

Revisiting Semantic Representation and Tree Search for Similar Question Retrieval cites this paper.

Revisiting Semantic Representation and Tree Search for Similar Question Retrieval RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 12

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Observation d86dbec9-c9d1-4dbb-ac88-9a26e584d074 · inbound

VL-BERT: Pre-training of Generic Visual-Linguistic Representations cites this paper.

VL-BERT: Pre-training of Generic Visual-Linguistic Representations RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 26

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Observation e280b660-4a21-4fa8-9b89-9602b510e574 · inbound

BERT for Coreference Resolution: Baselines and Analysis cites this paper.

BERT for Coreference Resolution: Baselines and Analysis RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 15

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Observation d2cd3a7e-b13e-401d-98e9-4a3367777000 · inbound

Patient Knowledge Distillation for BERT Model Compression cites this paper.

Patient Knowledge Distillation for BERT Model Compression RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 22

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Observation 79f13606-6178-4a90-be9b-faabb26ba87e · inbound

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks cites this paper.

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 20

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Observation 0af27f8e-1283-4ece-bbbd-a30c734f33cc · inbound

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition cites this paper.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 21

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Unavailable: canonical work link unavailable.

Observation b0c2676e-c278-468c-ab39-cb525b8c5544 · inbound

EntEval: A Holistic Evaluation Benchmark for Entity Representations cites this paper.

EntEval: A Holistic Evaluation Benchmark for Entity Representations RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 39

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Observation 4009de4c-b3bf-4e11-8c73-126396f5a89a · inbound

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations cites this paper.

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 49

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Unavailable: canonical work link unavailable.

Observation 9bf0b096-c473-4c5e-a7eb-562368e9bbe7 · inbound

QuASE: Question-Answer Driven Sentence Encoding cites this paper.

QuASE: Question-Answer Driven Sentence Encoding RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T06:01:44.982615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05d66b7d-5279-4d8f-9c78-72351bd9cba8 · inbound

How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings cites this paper.

How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 180

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6194c3ad-fc51-44b6-9e1b-6fdadd7bf8cd · inbound

From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project cites this paper.

From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T05:07:09.481176Z

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Unavailable: canonical work link unavailable.

Observation c32810dc-135f-4230-878b-28c7dc03deb4 · inbound

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning cites this paper.

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T05:01:52.513710Z

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Observation f769aeaa-9d70-465f-85f9-8d9d0a29e9de · inbound

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity cites this paper.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T04:57:43.354683Z

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Unavailable: canonical work link unavailable.

Observation bce180f1-1614-4035-8dc6-6d1a86c910b6 · inbound

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations cites this paper.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-13T12:26:58.111796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6be089a8-7631-4c13-bc34-ef4a42a65c86 · inbound

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter cites this paper.

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T05:02:34.205689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation adecd3ce-e71a-429e-84bb-da38e9ee1329 · inbound

HuggingFace's Transformers: State-of-the-art Natural Language Processing cites this paper.

HuggingFace's Transformers: State-of-the-art Natural Language Processing RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 169

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T14:53:59.753399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43d5290a-d8c3-4c1d-bd88-290077011313 · inbound

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer cites this paper.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-12T05:37:55.805752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6ba14bed-e016-47ff-b199-8ead5c8e1ff8 · inbound

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension cites this paper.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-13T00:14:58.230060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a15bcf44-0dea-497c-89f6-b84ce51dc3d0 · inbound

Unsupervised Cross-lingual Representation Learning at Scale cites this paper.

Unsupervised Cross-lingual Representation Learning at Scale RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T16:23:29.620944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c1ca71d5-47b9-4de9-9254-a90177e8b7f1 · inbound

PIQA: Reasoning about Physical Commonsense in Natural Language cites this paper.

PIQA: Reasoning about Physical Commonsense in Natural Language RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-17T14:55:17.868145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7862ea24-4cd9-413d-a7b0-d95d0bd0e72e · inbound

CodeBERT: A Pre-Trained Model for Programming and Natural Languages cites this paper.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:04:26.301884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 968d8800-7dbe-45d5-908c-9afa78515aed · inbound

REALM: Retrieval-Augmented Language Model Pre-Training cites this paper.

REALM: Retrieval-Augmented Language Model Pre-Training RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-15T09:59:16.208479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 288a2b82-ffb4-4e48-8790-4ecdaee8fd46 · inbound

How Much Knowledge Can You Pack Into the Parameters of a Language Model? cites this paper.

How Much Knowledge Can You Pack Into the Parameters of a Language Model? RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:00:28.136236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bfd1728c-9130-4292-8df8-14286f61db30 · inbound

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators cites this paper.

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-16T10:26:47.631973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 60f64f82-3fb1-45dd-8af5-ae50414ee364 · inbound

Longformer: The Long-Document Transformer cites this paper.

Longformer: The Long-Document Transformer RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 104

Resolution: verified exact; local_arxiv, observed 2026-05-10T13:29:58.773293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f1eb84eb-3f1e-4d4e-9c99-85be86e57dd0 · inbound

Language Models are Few-Shot Learners cites this paper.

Language Models are Few-Shot Learners RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-10T12:05:38.310615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aa4f25a6-5599-4f67-b9a7-369e05bfe402 · inbound

DeBERTa: Decoding-enhanced BERT with Disentangled Attention cites this paper.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-13T04:50:53.652209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 20c51158-4973-40bf-8cef-7339efed92f5 · inbound

Linformer: Self-Attention with Linear Complexity cites this paper.

Linformer: Self-Attention with Linear Complexity RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-12T00:37:42.306109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 92d47afd-a349-4591-aa06-9df8dcac3499 · inbound

Aligning AI With Shared Human Values cites this paper.

Aligning AI With Shared Human Values RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-21T14:41:26.579097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cbd652dd-6c6f-4ade-93b1-30ef4c74e2e0 · inbound

Measuring Massive Multitask Language Understanding cites this paper.

Measuring Massive Multitask Language Understanding RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-10T12:43:44.466442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 97aec4ec-d04b-4848-8324-a1ea857a1996 · inbound

GraphCodeBERT: Pre-training Code Representations with Data Flow cites this paper.

GraphCodeBERT: Pre-training Code Representations with Data Flow RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:46:10.968140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2329a960-8cb7-4f8a-8101-57f7deb6abee · inbound

Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps cites this paper.

Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T07:39:58.406542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b01c135f-f45e-4808-87e3-afecc4db4d6e · inbound

The Pile: An 800GB Dataset of Diverse Text for Language Modeling cites this paper.

The Pile: An 800GB Dataset of Diverse Text for Language Modeling RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-10T21:35:18.851942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c49c00c3-2675-4b64-8ba6-0d67683d73a5 · inbound

Prefix-Tuning: Optimizing Continuous Prompts for Generation cites this paper.

Prefix-Tuning: Optimizing Continuous Prompts for Generation RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-11T16:57:25.078348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 481c9497-9c3e-4f10-bf1b-c62ab7471204 · inbound

Scaling Laws for Transfer cites this paper.

Scaling Laws for Transfer RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-18T00:58:13.678055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff1d9dd7-adf5-41ef-8f1b-8fd6bb712c39 · inbound

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation cites this paper.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-05-15T11:40:02.694785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 344b46e6-8fb0-4619-8864-b008b9831455 · inbound

SimCSE: Simple Contrastive Learning of Sentence Embeddings cites this paper.

SimCSE: Simple Contrastive Learning of Sentence Embeddings RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 101

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T07:48:23.431202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31d75374-748a-45c0-863e-9d6e6fe51930 · inbound

Perceiver IO: A General Architecture for Structured Inputs & Outputs cites this paper.

Perceiver IO: A General Architecture for Structured Inputs & Outputs RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:47:13.954700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b72bb6f5-77de-4cf9-93f6-495b2aa184ca · inbound

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation cites this paper.

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-15T11:23:26.373511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7a923c0-3bb6-4c42-89e1-ffbf286e753a · inbound

BBQ: A Hand-Built Bias Benchmark for Question Answering cites this paper.

BBQ: A Hand-Built Bias Benchmark for Question Answering RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:55:11.543523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1767c08f-60e1-4dca-9bef-1e8e5449ef3e · inbound

An Explanation of In-context Learning as Implicit Bayesian Inference cites this paper.

An Explanation of In-context Learning as Implicit Bayesian Inference RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:22:08.030085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 79b02f68-5813-4951-9ae6-89f10255f95a · inbound

DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing cites this paper.

DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-15T12:49:19.466157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b3ef818-bd93-4082-a260-11f72878d21c · inbound

A General Language Assistant as a Laboratory for Alignment cites this paper.

A General Language Assistant as a Laboratory for Alignment RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-05-11T14:22:59.750866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ef7f74dc-9afd-4d81-b31c-3ee52a86f798 · inbound

Ethical and social risks of harm from Language Models cites this paper.

Ethical and social risks of harm from Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 169

Resolution: verified exact; local_arxiv, observed 2026-05-11T18:24:30.304103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3d294c37-3cc6-47f6-a936-0e5ffd212e51 · inbound

LaMDA: Language Models for Dialog Applications cites this paper.

LaMDA: Language Models for Dialog Applications RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-12T03:17:32.343076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4eb41430-3e27-4438-a046-df04adb8ab8e · 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 RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-24T12:14:26.713341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 92d4ad6b-4809-4772-9c4f-d0f23723751b · inbound

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? cites this paper.

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 217

Resolution: verified exact; local_arxiv, observed 2026-05-15T09:51:46.860899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6066c43b-5730-471b-964d-57f0ed3735cc · inbound

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language cites this paper.

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-05-16T09:50:00.675448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4c5bec25-687c-454a-ba22-1ec586171bf5 · inbound

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning cites this paper.

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:31:08.354783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d3f698f4-2e85-4d37-8709-be57258d6c02 · inbound

OPT: Open Pre-trained Transformer Language Models cites this paper.

OPT: Open Pre-trained Transformer Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 128

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T20:53:17.488684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b4ca4c1-2337-473f-a29e-e10e4f698439 · inbound

GIT: A Generative Image-to-text Transformer for Vision and Language cites this paper.

GIT: A Generative Image-to-text Transformer for Vision and Language RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T20:54:07.679215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a49acf2e-3a23-4476-a862-09e47c138e07 · inbound

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness cites this paper.

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-12T16:22:08.976943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c5f442e9-129c-4219-87b6-447251aa381b · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 145

Resolution: verified exact; local_arxiv, observed 2026-05-10T15:42:47.797397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 86451164-a68b-4b69-bf9b-5cd7629706be · inbound

Inner Monologue: Embodied Reasoning through Planning with Language Models cites this paper.

Inner Monologue: Embodied Reasoning through Planning with Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-11T20:10:45.515398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c5d9d2cb-4620-48d1-9ab3-a7531029f6cf · inbound

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale cites this paper.

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 146

Resolution: verified exact; local_arxiv, observed 2026-05-13T13:35:36.118237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4c3c38e4-878e-46b6-9587-417542c1c42d · inbound

Make-A-Video: Text-to-Video Generation without Text-Video Data cites this paper.

Make-A-Video: Text-to-Video Generation without Text-Video Data RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-11T01:13:03.319494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1c860e65-bb2f-4329-b537-9e68038e3201 · inbound

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model cites this paper.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 269

Resolution: verified exact; local_arxiv, observed 2026-05-12T00:51:11.408748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cea95ff9-6a54-430c-b18c-5b42053049d5 · inbound

Text Embeddings by Weakly-Supervised Contrastive Pre-training cites this paper.

Text Embeddings by Weakly-Supervised Contrastive Pre-training RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-11T04:54:03.944796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac205680-71ff-44e0-804c-a37f7454ead5 · inbound

Discovering Latent Knowledge in Language Models Without Supervision cites this paper.

Discovering Latent Knowledge in Language Models Without Supervision RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:34:08.327577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac8ae89d-8bba-41b4-af8b-0fe342fc279d · inbound

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers cites this paper.

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T01:31:07.062215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 52d027ef-b15c-4ece-b5d5-ed164e24b9bd · inbound

Language Is Not All You Need: Aligning Perception with Language Models cites this paper.

Language Is Not All You Need: Aligning Perception with Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-15T18:32:22.957247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8cbbafc-2bd5-4f05-b8cc-09cfbc3e149d · inbound

Eliciting Latent Predictions from Transformers with the Tuned Lens cites this paper.

Eliciting Latent Predictions from Transformers with the Tuned Lens RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 62

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T16:54:37.606938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation da5a0cee-fd4b-4bce-bc88-dbbdd54adc33 · inbound

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models cites this paper.

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 69

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T15:11:21.851099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 46337eb6-0818-409f-bc46-9786fd46a782 · inbound

ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.

ART: Automatic multi-step reasoning and tool-use for large language models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 90

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T19:03:06.094667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 88d39381-0811-4451-8c72-d1abd95e17e3 · inbound

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning cites this paper.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-12T21:11:32.297194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9fa662b2-767b-4cf6-a21e-0600bfce9821 · inbound

Can AI-Generated Text be Reliably Detected? cites this paper.

Can AI-Generated Text be Reliably Detected? RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 85

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T19:29:45.463076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ece3712-0ca9-4b37-a513-c2c821f44d2d · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-14T23:07:42.963015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c6f3636-3638-499a-a487-0e91323b042f · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-10T22:46:40.153349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d0f7507d-1895-4871-9f0f-31435aeec32c · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-10T23:33:00.586348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c267a245-13e9-4358-846f-ade85d1eb177 · inbound

CodeT5+: Open Code Large Language Models for Code Understanding and Generation cites this paper.

CodeT5+: Open Code Large Language Models for Code Understanding and Generation RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T05:26:57.505376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4f31d89-4d9a-4010-b621-f17e683c1c79 · inbound

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction cites this paper.

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-05-24T08:49:13.942504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1f9477d7-9778-4275-aaef-37da67568215 · inbound

QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.

QLoRA: Efficient Finetuning of Quantized LLMs RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-11T13:29:53.553914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4f2559e-b27b-47c8-862f-426c20e01408 · inbound

The Curse of Recursion: Training on Generated Data Makes Models Forget cites this paper.

The Curse of Recursion: Training on Generated Data Makes Models Forget RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-20T14:04:58.322139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fa90ea14-bb78-4e92-abf6-4dd757aa837e · inbound

On Diffusion Modeling for Anomaly Detection cites this paper.

On Diffusion Modeling for Anomaly Detection RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-24T08:54:15.953699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 50d33e14-78a2-41ed-906c-ba3ec880d4e2 · 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 RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-13T20:43:45.861688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 167bc454-7fb7-4dec-ba75-a270e15993ec · inbound

MiniLLM: On-Policy Distillation of Large Language Models cites this paper.

MiniLLM: On-Policy Distillation of Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-12T17:40:27.925798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ab4ba32-40c3-4997-9fb8-2dd2edc23213 · inbound

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-05-17T18:00:50.545885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7128ea1a-92a1-45fe-99c6-d41cf05aaeb9 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 299

Resolution: verified exact; local_arxiv, observed 2026-05-19T20:28:39.299710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 92f0be19-f331-403b-8196-c89c96ac4279 · inbound

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models cites this paper.

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T14:21:16.517753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6ad8b803-3ac5-4cdb-840b-4aa7199d205e · inbound

A Survey of Hallucination in Large Foundation Models cites this paper.

A Survey of Hallucination in Large Foundation Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 106

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T15:21:00.841132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2e20841f-11f6-4864-9b5f-0afa446ac21a · inbound

C-Pack: Packed Resources For General Chinese Embeddings cites this paper.

C-Pack: Packed Resources For General Chinese Embeddings RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-13T13:24:32.229997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 146d8f17-ea43-4389-8177-ed127a83c899 · inbound

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts cites this paper.

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:25:21.128869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cedaf0e7-8209-4190-b948-8e2bbcbadc02 · inbound

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models cites this paper.

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-13T10:07:53.852306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 509e3640-f91d-42be-81c4-dc17ba7956c2 · inbound

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models cites this paper.

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 88

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T01:07:22.326651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fd91268c-fd01-43ae-bef6-d086622be3c0 · inbound

Demystifying CLIP Data cites this paper.

Demystifying CLIP Data RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 172

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T09:20:20.428956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b784b93-b640-431f-b7db-2a1dcc6810ab · inbound

Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs cites this paper.

Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-24T06:34:01.117192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a9224d95-b0ff-4a05-93d2-22b848bde2de · inbound

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation cites this paper.

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 192

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T20:06:44.665657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 75929a7f-247d-4c2f-b627-408901531cca · inbound

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models cites this paper.

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-24T06:13:59.942765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7caea12f-9a5c-48d9-b5a7-51033808566c · inbound

DA-Cramming: Enhancing Cost-Effective Language Model Pretraining with Dependency Agreement Integration cites this paper.

DA-Cramming: Enhancing Cost-Effective Language Model Pretraining with Dependency Agreement Integration RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:33:56.709121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3de1caeb-e433-4ac8-9b79-80f1e83329c2 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 199

Resolution: verified exact; local_arxiv, observed 2026-05-13T02:46:27.764667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c98604fc-563a-44f0-96c6-80e0252eced8 · inbound

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks cites this paper.

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 94

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:46:10.018483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.