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Paper Citation Record · LEDGER

OPT: Open Pre-trained Transformer Language Models

As of 16 August 2026, this Paper Citation Record lists 100 of 294 outbound references and 100 inbound Pith citation observations for arXiv:2205.01068.

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

pith.paper-citation-record.v1
2205.01068 v4

Coverage vector

measured 100 of 294 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T20:53:16.720145Z

measured 200 of 200 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 100 of 698 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:54:44.141244Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:37:45.880117Z

Reference resolution

100 of 294 outbound references displayed

  • verified exact7
  • verified fuzzy36
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch25

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b9edbe9-edb5-4269-acd2-ab8ff3f8cf86 · outbound

This paper cites The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation.

OPT: Open Pre-trained Transformer Language Models The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T20:53:17.666664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f476fec7-f32e-4980-a5fe-7dbc1dce860d · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

OPT: Open Pre-trained Transformer Language Models Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 2

Resolution
verified exact
doi, observed 2026-05-10T20:53:17.050348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:263e5cfdc16d6f3459282f0e77ddfcd242d61fee9ba63b2d66f5b15921a51a6a

Observation 4c3ab19d-66b1-4e9e-ad1b-c680daf7130d · outbound

This paper cites PIQA: Reasoning about physical commonsense in natural language.

OPT: Open Pre-trained Transformer Language Models PIQA: Reasoning about physical commonsense in natural language

Reference 3

Resolution
verified exact
doi, observed 2026-05-10T20:53:17.205119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:181040402282c3cf16d59a0f176801bbadae47203b53d0eddfb7f42438de2621

Observation 702c6908-308b-40e4-8b73-9b63c904e4ec · outbound

This paper cites Neural Network Acceptability Judgments.

OPT: Open Pre-trained Transformer Language Models Neural Network Acceptability Judgments

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T20:53:17.222272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:4f48ce30cc493b785a69178200d8124b19e5eaae9fad62d79a999874947e952f

Observation b7a291d1-d524-495e-b29b-ebb0d5bba61d · outbound

This paper cites Biochimica et Biophysica Acta (BBA)-Protein Structure , volume=.

OPT: Open Pre-trained Transformer Language Models Biochimica et Biophysica Acta (BBA)-Protein Structure , volume=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.098425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:611096863444adf70dd2469afcafdaa325c820d1be32af8ea3b64c6c28686613

Observation 5fd6093f-0867-48a9-9cb8-22f0de17cb43 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-10T20:53:18.151891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:aa3cf4ea13bbfb67032a05c7b1c56aaa4c87ceb9e9d94d7aef0c7ac5f854d92a

Observation b1d22c11-eaec-4748-a655-0729f77e6da0 · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning.

OPT: Open Pre-trained Transformer Language Models Quantifying the Carbon Emissions of Machine Learning

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T05:52:44.534862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:11486d4d17d82056cdb2dd551d971d28d3bb43653394e1ba3be6cdf8b4c0ffd5

Observation a47057d7-a166-4d3d-a3b4-b98953f8a720 · outbound

This paper cites Towards Backward-Compatible Representation Learning.

OPT: Open Pre-trained Transformer Language Models Towards Backward-Compatible Representation Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T20:53:17.244274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:56e1c2d8b1e8cb187b219886981c128aba2d6f6213ce44ac44190c6925459de3

Observation 74d34b8d-0e9a-40a3-8b25-b26bffc0ee9f · outbound

This paper cites 2020 , eprint=.

OPT: Open Pre-trained Transformer Language Models 2020 , eprint=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.280299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:d340ce7a34ab211422348718e53d597af6ee1006f3b2a5f18238742d2f40075c

Observation 53144cec-cbda-4e2d-bf4a-41831cc771e4 · outbound

This paper cites International Conference on Learning Representations , year=.

OPT: Open Pre-trained Transformer Language Models International Conference on Learning Representations , year=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T20:53:19.121306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:393264cb205b74ecd87090ac9494b376c3cc53dfa49354f04d22ed995f4ae3ed

Observation d125e125-c5ab-407b-90bd-ad0f01c11c74 · outbound

This paper cites BERT Rediscovers the Classical NLP Pipeline.

OPT: Open Pre-trained Transformer Language Models BERT Rediscovers the Classical NLP Pipeline

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T20:53:17.249529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:8292f19863d6ec97722adcfef54ec4232ae4cd8a0b4b6bc93a6bf0362009df65

Observation 2f954e76-01ee-4dcc-8b20-284c363586a2 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-10T20:53:18.582250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:9979bc4e4ab3567cc17ea34adbc967dfa1e094e4f3f24aca7b81d76e3e41eae2

Observation 2e6aded3-08ec-4dcb-a9a1-de52dccad984 · outbound

This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=.

OPT: Open Pre-trained Transformer Language Models Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T20:53:18.159309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:5ccaddfc89877c64923a08f5dcc5240b4c7dd598078f54c146d6671780e71568

Observation 0b740412-011e-436c-8959-27575ffc5a39 · outbound

This paper cites BAM! Born-Again Multi-Task Networks for Natural Language Understanding.

OPT: Open Pre-trained Transformer Language Models BAM! Born-Again Multi-Task Networks for Natural Language Understanding

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T20:53:17.259331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:891e9ff991dd8e7a4a893e5e4e45a7ed12000f36689b55eb940098faa6d77ae2

Observation 4bc37671-2b5f-4289-b791-561082d6a5cd · outbound

This paper cites Machine learning , volume=.

OPT: Open Pre-trained Transformer Language Models Machine learning , volume=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.060596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:4c192884e3866e4786513ffc2cda78b91aeba74d489e0d9c0b3b9c4e0a9d6d12

Observation 4253bd46-3de6-4afa-8d6b-d9ab25d1d41f · outbound

This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.

OPT: Open Pre-trained Transformer Language Models An Overview of Multi-Task Learning in Deep Neural Networks

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T09:50:25.566913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:3d4ea4eaaac4205af1c51bc5c506bb60e9d65f03cb8e7edc475a5775d02040bd

Observation 293f1689-b969-4dfd-9704-437e011449a0 · outbound

This paper cites Proceedings of the 42nd annual meeting on Association for Computational Linguistics , pages=.

OPT: Open Pre-trained Transformer Language Models Proceedings of the 42nd annual meeting on Association for Computational Linguistics , pages=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.079007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:0494182ee9f4496245e5a4ce341cec0341a145fb95fe8c1bcdb2aad0f13ab9c8

Observation 48a4deb2-4d60-4e32-83e9-2d440fdb3c55 · outbound

This paper cites Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media , pages=.

OPT: Open Pre-trained Transformer Language Models Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media , pages=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.215177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:7a5f9a2316a67ebe6deacffba382fbbad788de09bb079ab08f6bd19fe6298e4a

Observation 7ff469da-b9d8-46f8-8573-74254568e58d · outbound

This paper cites Distilling the Knowledge in a Neural Network.

OPT: Open Pre-trained Transformer Language Models Distilling the Knowledge in a Neural Network

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T20:53:17.267793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:7041755b9cc6880b41a1e4d81a6f360b6dccbeb09bbae4d8ba6261ad57c1cf7b

Observation a842ed29-a7b5-43dd-bc82-c24dac0c2db3 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-16T01:22:03.912035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:6119260342b07a02e6e49cb8dd968e4290844f51b288953ffede865bd3c3ca7c

Observation a7cbf767-0f7f-44ce-9ec4-67a4f3222638 · outbound

This paper cites Proceedings of the 13th International Workshop on Semantic Evaluation , pages=.

OPT: Open Pre-trained Transformer Language Models Proceedings of the 13th International Workshop on Semantic Evaluation , pages=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T20:53:19.136940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:d087b64cfba7b6e177e0a31facf25d39dafa7dfe36aa077d991b86c49e4ac7f3

Observation ab891833-8128-4599-ba3a-a0bfcdf070f4 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-05-10T20:53:19.129518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:4fdc3faa59173541216947b0bb7e101607328b56c3f3074e8c61ad708b701abd

Observation b56b1ea5-5eb9-4b6a-9e21-e777d46451a8 · outbound

This paper cites The Natural Language Decathlon: Multitask Learning as Question Answering.

OPT: Open Pre-trained Transformer Language Models The Natural Language Decathlon: Multitask Learning as Question Answering

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T20:53:17.285981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:3f385adc306cda68c263904e5da8131e155e0f3dfe5a8df2a6767f3eba620cbf

Observation ac9bcc3c-0460-4520-84f8-86a662b23146 · outbound

This paper cites Proceedings of the 25th international conference on Machine learning , pages=.

OPT: Open Pre-trained Transformer Language Models Proceedings of the 25th international conference on Machine learning , pages=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T20:53:18.912401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:bbf3d804eec83c0999c9245e671f7e9db08dba04ebebe8288469984c9c5690c1

Observation fa844b7d-c6ab-4abd-9cfd-8c5bc1a41530 · outbound

This paper cites Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing , pages=.

OPT: Open Pre-trained Transformer Language Models Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T20:53:18.176016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:b13cd71c54d74ccacac4988419a055744309031b49a0f2ad36f3a7f9cd9d04d3

Observation 14456947-3386-4ac6-8ac3-f960a5366d35 · outbound

This paper cites Proceedings of the conference on empirical methods in natural language processing , pages=.

OPT: Open Pre-trained Transformer Language Models Proceedings of the conference on empirical methods in natural language processing , pages=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T20:53:18.128083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:65f410ff2e3aaf2855532dfebef40d610fbcd67bf2419edb7d38110983902443

Observation 54abbf24-fab5-4d41-b27e-6073e205979d · outbound

This paper cites Weld and Luke Zettlemoyer and Omer Levy , year=.

OPT: Open Pre-trained Transformer Language Models Weld and Luke Zettlemoyer and Omer Levy , year=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T20:53:18.125347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:92e17ce89f8c12eb4cf7af11c0c3853e8a6ffda8e11fdc38fd055cf73c36fe92

Observation 197ce313-cf37-48e0-9e6a-0dc74d53ee84 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-05-10T20:53:18.123052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:74c3ea4c2ef446928745e5ccfa6762b78e8c02839966b360083af32777057179

Observation 4fcb6571-241a-470f-88ad-27e111b4460b · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-10T20:53:18.120680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:08f8e175146b53720262e99d4c24268cacdaf4ddcef5d99ea832a05be499b171

Observation f688a72a-8da8-4e94-99b7-8bdeb22c9ea5 · outbound

This paper cites International Conference on Learning Representations , year=.

OPT: Open Pre-trained Transformer Language Models International Conference on Learning Representations , year=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T20:53:18.002118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:d1deb717c91321ea504258b8f13ca81fa588981aaa3491f0a8e5b209b319fd55

Observation 929ba12e-3f09-46a5-a589-29d0788d0ee5 · outbound

This paper cites Advances in neural information processing systems , pages=.

OPT: Open Pre-trained Transformer Language Models Advances in neural information processing systems , pages=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.142844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:961e27a8a4c666ea767d9db3fac3665ce88956a3ec0a717f089bbcf5b1441422

Observation 486d656c-b050-4d52-80f0-8594de62eb7e · outbound

This paper cites Learning Distributed Representations of Sentences from Unlabelled Data.

OPT: Open Pre-trained Transformer Language Models Learning Distributed Representations of Sentences from Unlabelled Data

Reference 32

Resolution
verified exact
doi, observed 2026-05-10T20:53:17.126162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:8a5609df25efd604243aefb8fc5574912bf70188d189275ce43f8b88929963c3

Observation b04ba3e3-a35b-4b78-8baf-64322918f017 · outbound

This paper cites Supervised Learning of Universal Sentence Representations from Natural Language Inference Data , booktitle =.

OPT: Open Pre-trained Transformer Language Models Supervised Learning of Universal Sentence Representations from Natural Language Inference Data , booktitle =

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:03.965936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:3ab391db6da2529ef058609739b68ed085c22ab96accfefa59fbf40e1c3c0351

Observation 0df35c73-8071-42ed-b6df-a2ac9302b55c · outbound

This paper cites To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks.

OPT: Open Pre-trained Transformer Language Models To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T20:53:17.293354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:6cecb013f4e7d025007de5d0efe27765e1beb46da0fc38876a74c497bcf716a8

Observation 00b68de8-8bd3-4489-aacb-0495a2640d14 · outbound

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

OPT: Open Pre-trained Transformer Language Models Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T20:53:17.299739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:d3e5dff91335c67887a6f1afe2b53753926e2e168bdfe2f019f97f60da5f1446

Observation eb37bba3-bffd-4412-b8bd-cf8bcf72cdb1 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 36

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e8b3c063-72a4-4071-9e7a-15772668f186 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7d309032-9c7c-47da-b9c2-51229920f398 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 38

Resolution
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raw_fallback, observed 2026-05-16T01:22:03.929078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b060ed01-d03b-4c20-9a53-6dffba4ba304 · outbound

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

OPT: Open Pre-trained Transformer Language Models XLNet: Generalized Autoregressive Pretraining for Language Understanding

Reference 39

Resolution
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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:9a2b241557e41c45b700795f7a0d679a2dee737710f4abb0b21aa99958f95f1c

Observation 416039c7-5263-449b-a372-b60b61a67231 · outbound

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

OPT: Open Pre-trained Transformer Language Models Cloze-driven Pretraining of Self-attention Networks

Reference 41

Resolution
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arxiv_id, observed 2026-05-10T20:53:17.314683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b20bdc6d-aba5-49dc-b17e-9d473e908cf0 · outbound

This paper cites International Conference on Learning Representations , year=.

OPT: Open Pre-trained Transformer Language Models International Conference on Learning Representations , year=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.303953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:21275c5d4c7673693bbfe50e6c2cb4f52194edc0c2b516d6f419d1cdb5933038

Observation 87aa8afe-33f0-44d4-862e-6954cc7dc7aa · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

OPT: Open Pre-trained Transformer Language Models Generating Long Sequences with Sparse Transformers

Reference 43

Resolution
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local_arxiv, observed 2026-05-10T20:53:17.318127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:a0847f911de8e9245c933cef76b4cab14ce1e956c0b8cc314684cef72bad9d6e

Observation 37c6a7ba-da3c-448b-adad-861e544653d5 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 44

Resolution
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raw_fallback, observed 2026-05-16T01:22:04.284843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:09829a691158381c803486f8ea1f569b64c1a9e23a803adea89c71f63db6bafa

Observation d70b9602-7661-42d4-8a39-0d99629556db · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-16T01:22:04.296038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:c0848c3eef0fbd43a7901ecb91f257e52f7680bcbc39f6b9f7c6f5f12c820431

Observation 2c18b72b-d3d6-4252-b37b-17e33d7951b9 · outbound

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

OPT: Open Pre-trained Transformer Language Models Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

Reference 46

Resolution
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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 2026-08-16T06:30:59.297886+00:00.

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Observation 5b36e122-ea84-4279-a5a3-734943e3b631 · outbound

This paper cites One weird trick for parallelizing convolutional neural networks.

OPT: Open Pre-trained Transformer Language Models One weird trick for parallelizing convolutional neural networks

Reference 47

Resolution
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arxiv_id, observed 2026-05-10T20:53:17.334492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4a161257-77b1-4d2c-92cb-c04a4eab1086 · outbound

This paper cites International Conference on Learning Representations , year=.

OPT: Open Pre-trained Transformer Language Models International Conference on Learning Representations , year=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.020013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:782e81142c35ad508baa300ebd42d66b7d80f0b8db6d20da0589dbbcc6dace3f

Observation ec5be413-29c7-4b21-844e-38d2edcf43c5 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-16T01:22:04.033308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:12f15389ed353a7414018a7d081ecc5438236f72ca164e850bb90c6ef9b5f5d3

Observation 371ff19c-9c5b-4553-8355-dea09ff40e97 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 50

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 70ff4d00-d6c6-48f8-9bf1-1576b5b0de66 · outbound

This paper cites 2017 , booktitle =.

OPT: Open Pre-trained Transformer Language Models 2017 , booktitle =

Reference 51

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:1a963d30a8524eca84c558c67abc609baba0327c2e85c9f31ee2b8b0b282202a

Observation 2b39f71e-71ad-40f3-986d-520bbfb85496 · outbound

This paper cites Defending Against Neural Fake News.

OPT: Open Pre-trained Transformer Language Models Defending Against Neural Fake News

Reference 52

Resolution
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arxiv_id, observed 2026-05-10T20:53:17.352441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cf6c6822-e57e-4860-8d53-c6e50b7c5b07 · outbound

This paper cites booktitle=iclr, year=.

OPT: Open Pre-trained Transformer Language Models booktitle=iclr, year=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.288927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9962b6ea-1f42-49ab-ba8f-f2ca02a8b451 · outbound

This paper cites and Schwenk, Holger and Stoyanov, Veselin.

OPT: Open Pre-trained Transformer Language Models and Schwenk, Holger and Stoyanov, Veselin

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.261629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 684be699-374e-45e1-8013-c2c35034c74b · outbound

This paper cites Bowman , journal=.

OPT: Open Pre-trained Transformer Language Models Bowman , journal=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.333914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:953ec98ac1cbae8af8b47e55003811a51375c7fe83918f219e9faae11e7c806a

Observation 8212a33a-09c7-4ec9-a9e2-6399c251c8f3 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 56

Resolution
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raw_fallback, observed 2026-05-16T01:22:04.070671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:a7bfc6ab07cf6f66e970b8fe43c11c7c6f60165d5aaae40702865a1ddb104555

Observation 514ca15e-fff7-45c4-8fd0-693bb9e74e35 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 57

Resolution
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raw_fallback, observed 2026-05-16T01:22:04.010996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 924b6baf-ba2f-48ee-bcd0-5d2d1d8be2be · outbound

This paper cites 2011 AAAI Spring Symposium Series , year=.

OPT: Open Pre-trained Transformer Language Models 2011 AAAI Spring Symposium Series , year=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T20:53:19.140299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 313ab6e4-f275-4c40-b4ee-442dfbe5cb0a · outbound

This paper cites Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) , pages=.

OPT: Open Pre-trained Transformer Language Models Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) , pages=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T20:53:19.085255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:62b4f5835e12ee630dbe0904ca0fe87f4430f0f043d15626036b6f1930c353df

Observation 66d46727-a235-440d-bd61-aab929069976 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 60

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5b9c897a-468d-428e-b589-0740bc433a87 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 61

Resolution
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raw_fallback, observed 2026-05-10T20:53:18.719342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation aa5b7abc-a485-498c-9a54-4ac94e240bfc · outbound

This paper cites The second.

OPT: Open Pre-trained Transformer Language Models The second

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T20:53:18.571631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 03f139b4-9728-4fb5-9fee-b5d020f6fb58 · outbound

This paper cites The third.

OPT: Open Pre-trained Transformer Language Models The third

Reference 63

Resolution
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raw_fallback, observed 2026-05-10T20:53:18.346159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:52fc54a2a94854d32e5a42d93fed2454d38e204633dab0ea84c521ed1c64486b

Observation 01694f1c-6372-49a6-8723-aa6b5721d4e5 · outbound

This paper cites The Fifth.

OPT: Open Pre-trained Transformer Language Models The Fifth

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:03.952868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:662498e7fbd9fee036e2fd3de9309d479e79d64276b3be9f3698f6be9eb9a577

Observation 164e1ca8-be41-4c28-a829-c4142b841fa7 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 65

Resolution
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raw_fallback, observed 2026-05-16T01:22:04.092329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:a7d58cbded1e4202a84e57f4af9f2ff3511ecdde00622be235d84f7dccddd4fa

Observation e19636ee-0089-40c1-8d7d-fbd848823e21 · outbound

This paper cites Proceedings of NAACL-HLT , year=.

OPT: Open Pre-trained Transformer Language Models Proceedings of NAACL-HLT , year=

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.024454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:9b6b1ce836ebb8c0b1a878edb0631ed8e28bd9454c2d0b39d74349de844b002d

Observation f1600121-dba2-4b4b-8bca-6f100c8f7042 · outbound

This paper cites Proceedings of EMNLP , year=.

OPT: Open Pre-trained Transformer Language Models Proceedings of EMNLP , year=

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.276546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:7ad69d7c143c279b7a0b84f0423d68cfc6a354491872310a8b6213adc8c34b56

Observation f1c8e89b-9743-4808-8709-7c2edc926536 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 68

Resolution
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raw_fallback, observed 2026-05-16T01:22:03.989577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 79b59ab3-1a4f-4e75-a3a4-00918e50bf5c · outbound

This paper cites Automatic Differentiation in.

OPT: Open Pre-trained Transformer Language Models Automatic Differentiation in

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.074693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:6ce009e98d1ab49d5276ce64023de8072db5f95777c37fc191e2ec110c302952

Observation 9c280ecc-6180-4342-b8e6-fa412329763d · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 70

Resolution
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raw_fallback, observed 2026-05-16T01:22:03.935959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:87543c254d8afb6468af473b299f42c9b1f2213cf6ec169a97c640a21971d721

Observation e433a410-ddc6-42cc-ade1-d9b807864690 · outbound

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

OPT: Open Pre-trained Transformer Language Models Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding

Reference 71

Resolution
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arxiv_id, observed 2026-05-10T20:53:17.356706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:26dde8e913e269846d18ae976ec7a3200ad58bda2d9dff2ea1cabc33bda70105

Observation 2c3807ac-3c46-4cad-aa0f-9a0f02ddcded · outbound

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

OPT: Open Pre-trained Transformer Language Models A Surprisingly Robust Trick for Winograd Schema Challenge

Reference 72

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T20:53:17.368095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:aa51d99aa1c27d5449964f58ed4be8dc3d1d1d6efde0394947b4b8b820f23718

Observation a3ec45a0-77a1-4188-8589-e6592d8ceac3 · outbound

This paper cites Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks.

OPT: Open Pre-trained Transformer Language Models Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T20:53:17.374789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:5a4e3e8de41d6730d7482d860ca405b1c06dd2db45e2bcb02cb7cc95518bf918

Observation 1291ce86-41eb-4978-97a1-19144d4dac9e · outbound

This paper cites 2017 , Note =.

OPT: Open Pre-trained Transformer Language Models 2017 , Note =

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.319290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 03dc8be0-daf8-47f9-bfa6-fd2bc6548e16 · outbound

This paper cites International Conference on Learning Representations , year=.

OPT: Open Pre-trained Transformer Language Models International Conference on Learning Representations , year=

Reference 75

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:6fd210f94f3494a194a40587311205ea18d822eeddcd2966e1fb17b2ee1df002

Observation 7ebc58b6-30e6-4607-89ad-d89412281897 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 76

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e4e5b810-f296-40b7-be6f-a77e1dd6a4c6 · outbound

This paper cites How to Fine-Tune BERT for Text Classification?.

OPT: Open Pre-trained Transformer Language Models How to Fine-Tune BERT for Text Classification?

Reference 78

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metadata mismatch
arxiv_id, observed 2026-05-10T20:53:17.383063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:51ee28714c392b1e747d05626bb4535629e9ea27771cd32bd724d880d3eca0c5

Observation 06e8c59f-0107-43cd-b73a-cb4f3048ecd6 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 79

Resolution
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raw_fallback, observed 2026-05-16T01:22:04.176010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:7a0553bf210357e2ac47b564e4e84a3c8ce42eeae6c3c517c31e877516b96395

Observation bd6cb1cf-db91-4cfa-b528-e3624d3e2a85 · outbound

This paper cites 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing , year=.

OPT: Open Pre-trained Transformer Language Models 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing , year=

Reference 80

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:4e1cd852e8843e467db8899639ac9996e8b0eee4b195addfb36a5a89395a7edf

Observation bc14eb0b-5cdc-44a2-92a6-3bdaf5057ae6 · outbound

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

OPT: Open Pre-trained Transformer Language Models Multi-Task Deep Neural Networks for Natural Language Understanding

Reference 81

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arxiv_id, observed 2026-05-10T20:53:17.390694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:5bb9f6aca68512e6212e725d9562ef06b5ca256ffea0ea3247cb2b4065af2a8e

Observation 22e1cf6b-1634-401a-9cc6-957cd9cf4c6c · outbound

This paper cites Layer Normalization.

OPT: Open Pre-trained Transformer Language Models Layer Normalization

Reference 82

Resolution
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local_arxiv, observed 2026-05-10T20:53:17.396779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:8b9c3c2c0f0603fc1123c383bbd4e32472a192855dfd3ef3fc6dc3f0c7169ffd

Observation 956b65ba-2206-4e25-8dd8-3e9294656b77 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 83

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raw_fallback, observed 2026-05-16T01:22:04.299561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:594b00793ab9e669d2ffbf630c7e0d4a4222fdee33c5e96195cff79749e80dde

Observation 0b06c690-e18c-4205-98a5-f53ed05cef8b · outbound

This paper cites Simple BERT Models for Relation Extraction and Semantic Role Labeling.

OPT: Open Pre-trained Transformer Language Models Simple BERT Models for Relation Extraction and Semantic Role Labeling

Reference 84

Resolution
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arxiv_id, observed 2026-05-10T20:53:17.404574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:f740ff57d475f071a08119104e22ed0a8b3b7b3189511be3bd94ae0a01dae31d

Observation 9f587f0e-4b5f-409c-8946-ce7d48db2155 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 86

Resolution
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raw_fallback, observed 2026-05-16T01:22:04.292582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:5edbf920e92730670da9e45762561adf82b60557d19657d0cf3af1cc18552b60

Observation 01b8d3cc-406f-4f77-8afd-d7a98922ba21 · outbound

This paper cites 2nd Workshop on Representation Learning for NLP , year=.

OPT: Open Pre-trained Transformer Language Models 2nd Workshop on Representation Learning for NLP , year=

Reference 87

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raw_fallback, observed 2026-05-16T01:22:03.924304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:bc2c5f0ea57bc3f8dedc63820be7e09f21b0a0d1e215d7a22ba29f0956dd4de4

Observation ee04bb23-3b3c-4993-8bd4-af26fc87c4a7 · outbound

This paper cites Don't Decay the Learning Rate, Increase the Batch Size.

OPT: Open Pre-trained Transformer Language Models Don't Decay the Learning Rate, Increase the Batch Size

Reference 88

Resolution
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arxiv_id, observed 2026-05-10T20:53:17.408413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:158ec82c1946a6ba558f55e4dd7d0c4c257d8542c81b6130f8d3d566bcc5f0b9

Observation dfcbaa25-f05a-461e-9cc1-b469a50b77ad · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

OPT: Open Pre-trained Transformer Language Models Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 89

Resolution
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arxiv_id, observed 2026-05-12T07:20:31.604247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:4ff7aecb18fef0ed15274002b4f29d8365b3f0f3f3bcbcec3050a0c0a4fe5633

Observation e0e3d736-4b4d-45d3-b39a-6300f927aea1 · outbound

This paper cites SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference.

OPT: Open Pre-trained Transformer Language Models SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference

Reference 90

Resolution
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arxiv_id, observed 2026-07-04T22:59:28.152591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:078d2f4860fa085a08916071be7ff653860c5515189e263072f800086dd64464

Observation 21c57c21-f599-4cf2-a8d2-b7ab31d8b581 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 91

Resolution
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raw_fallback, observed 2026-05-16T01:22:04.048184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:22fe5802f8bc69aed054d3a4485f8555c76dd2b92be81d429a25446ac68ec9e0

Observation 52bbd719-8c13-4124-a52c-722cb47643cf · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 92

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:0c8f7ddfc7f2a1385616c1e75a1d5446ee0158541f060116f6690f188bd2d598

Observation 890e9ddc-ac26-44ea-a50f-1ff4ca116ecc · outbound

This paper cites SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine.

OPT: Open Pre-trained Transformer Language Models SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

Reference 93

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T20:53:17.428938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:0542f1c77a4256e4a9f9098e190a7893adb4233e0f91d37e9b3d89f7123aae86

Observation 9e54e497-3b4e-47ed-9ae9-79cb1e6defd2 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-05-16T01:22:04.015180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:7b38d03d279835b77199ba66d59c23ed5e82ceda624afdafd27f5938d48878d7

Observation a6df8fad-f8b1-4f4e-9edc-c1c654c8ed21 · outbound

This paper cites Higher-Order Coreference Resolution with Coarse-to-Fine Inference.

OPT: Open Pre-trained Transformer Language Models Higher-Order Coreference Resolution with Coarse-to-Fine Inference

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.130180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:4d4e026d087a890a8f3acc877416ced7d270a80d436a76ba25e0d7c971d03a47

Observation c16d0f42-05b7-4a83-8b92-afc22c6e8ee7 · outbound

This paper cites Advances in neural information processing systems , year=.

OPT: Open Pre-trained Transformer Language Models Advances in neural information processing systems , year=

Reference 96

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:5f79c5e4c0a0912d9122de52b886820dd2bac3e5f2cfa5119c9164bb4233c69a

Observation e60a2f5c-d767-460c-9f2d-c48d81bb8a8d · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 97

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9411d8d6-b4db-4c41-bb4c-a0200ad9a814 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 98

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:b6f891bd6773a53a6b07a53390e6ccd9cc7e7c71f015a547e4808637b1517066

Observation 1f5575cc-468b-44ec-afbf-a7cf72d6b1f1 · outbound

This paper cites Machine Learning Challenges Workshop , year=.

OPT: Open Pre-trained Transformer Language Models Machine Learning Challenges Workshop , year=

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:22:04.116643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:a9976e6fbf4342d189c801fd2371aca691634592e109fbb34b9309fd94aabd7e

Observation 8252c079-4be0-4cd6-adaa-7d0af6690607 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-05-16T01:22:04.029755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:adf2a0db8a6d5bdcc833fcb0559446f92d1aaad0992891a56ec4601f6593c92e

Observation 3906eb7e-9571-45cc-a2f1-33f46020b141 · outbound

This paper cites Learning Recurrent Span Representations for Extractive Question Answering.

OPT: Open Pre-trained Transformer Language Models Learning Recurrent Span Representations for Extractive Question Answering

Reference 101

Resolution
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arxiv_id, observed 2026-05-10T20:53:17.436762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:fa6cb57f9003f1a5fbf323007ad17a73d2f0513f5cd86972d5be41ae2d99cc95

Observation 199343ea-32b4-44d9-a691-aa45665ce3e6 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 102

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:d5293fc98bb2d9d506d87f248d6e5846698da5737bbda131e64a5bb96d6b36e5

Observation c58d9b31-ec35-4a41-8f30-5ff0bd5cfd47 · outbound

This paper cites an unresolved cited work.

OPT: Open Pre-trained Transformer Language Models Unresolved cited work

Reference 103

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:0279d7a6014d7842eaf481751e7be30227d44a344f7e7bff17ce559f7914a107

Pith citing papers

Observation a9b074d9-e330-4572-8a17-442d1313d7e8 · inbound

Quantifying Memorization Across Neural Language Models cites this paper.

Quantifying Memorization Across Neural Language Models OPT: Open Pre-trained Transformer Language Models

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-13T22:04:59.715819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 26cfedbd-439c-49f2-a71d-aa1e9a7db025 · inbound

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

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale OPT: Open Pre-trained Transformer Language Models

Reference 176

Resolution
verified exact
local_arxiv, observed 2026-05-13T13:35:36.198687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cf95a2e9-5990-422d-ac89-bd75aebd0fad · inbound

Code as Policies: Language Model Programs for Embodied Control cites this paper.

Code as Policies: Language Model Programs for Embodied Control OPT: Open Pre-trained Transformer Language Models

Reference 13

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation adf6bee6-9dea-4b8a-98b2-779dc58da911 · inbound

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers cites this paper.

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers OPT: Open Pre-trained Transformer Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T20:53:19.162556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 34d733b8-7c49-4969-9f20-32340de1916d · inbound

Large Language Models Are Human-Level Prompt Engineers cites this paper.

Large Language Models Are Human-Level Prompt Engineers OPT: Open Pre-trained Transformer Language Models

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-24T09:43:26.376017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 558f711d-2ac9-44e6-ae45-049084f11080 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science OPT: Open Pre-trained Transformer Language Models

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:53:21.938061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:3f7b22fc633d014e03949c3e63566b55bf41eb468adc8ac7fe8a63ac78eda0fa

Observation 14d4cf35-e2e4-4ac9-bd30-7a7e6254b206 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science OPT: Open Pre-trained Transformer Language Models

Reference 256

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:53:22.301040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:e8bb3d52a08f668cc5eb70b97f61e2054ffc9fd090b782d80f4b9ffc13bbea4e

Observation a5c31ed7-a900-4099-b22f-6da87cfd40ff · inbound

Ignore Previous Prompt: Attack Techniques For Language Models cites this paper.

Ignore Previous Prompt: Attack Techniques For Language Models OPT: Open Pre-trained Transformer Language Models

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-11T13:59:31.482795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-11T13:59:31.213830Z digest=sha256:8ea12bbf49605b3c2959557fa8d616ed376c13602b39a5a23843b4aa5853debe

Observation 48261357-abe8-4ab1-85a5-e4dae8157e6f · inbound

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models cites this paper.

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models OPT: Open Pre-trained Transformer Language Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-12T00:10:50.365617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T00:10:48.610351Z digest=sha256:bef0f272d55bca30ae10453a0da42b09abc16b10db25b57b020734c972a4f0e0

Observation 755c06ec-f718-4357-86da-552a56b5fce8 · inbound

REPLUG: Retrieval-Augmented Black-Box Language Models cites this paper.

REPLUG: Retrieval-Augmented Black-Box Language Models OPT: Open Pre-trained Transformer Language Models

Reference 160

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T12:41:54.028271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6c44102c-db25-4f48-82e0-b50ca30988da · inbound

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.

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Reference 66

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fd909242-29d5-4a72-bae9-8494886ea937 · inbound

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents cites this paper.

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Reference 50

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c1b738cf-c8ed-4faf-ad3f-04d8d6f41220 · inbound

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation cites this paper.

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation OPT: Open Pre-trained Transformer Language Models

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c5694773-9e95-4dd4-9fdb-2939d16d3210 · inbound

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

Eliciting Latent Predictions from Transformers with the Tuned Lens OPT: Open Pre-trained Transformer Language Models

Reference 92

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local_arxiv, observed 2026-05-12T16:54:37.437329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-12T16:54:37.382049Z digest=sha256:68de5c9c742c48bf25817f2b3c52029bf4cff3846c954482013037d5b1bdfcee

Observation cd32c958-18f8-4fd1-8e02-85b0dfdce470 · 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 OPT: Open Pre-trained Transformer Language Models

Reference 51

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ab09c90c-ca7b-4bf0-b2d9-b879472102fa · inbound

SemDeDup: Data-efficient learning at web-scale through semantic deduplication cites this paper.

SemDeDup: Data-efficient learning at web-scale through semantic deduplication OPT: Open Pre-trained Transformer Language Models

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 738eebac-8e0c-4296-9f20-65167b430997 · inbound

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

Can AI-Generated Text be Reliably Detected? OPT: Open Pre-trained Transformer Language Models

Reference 57

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-20T19:29:45.315242Z digest=sha256:f2a2c5b5ecb752bbfd80f91af95ef8cd8274da6c3363d6f0843d288e1e72a539

Observation e38ac9c9-f5d2-4340-a335-b48e6f61a957 · inbound

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

Can AI-Generated Text be Reliably Detected? OPT: Open Pre-trained Transformer Language Models

Reference 67

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-20T19:29:45.315242Z digest=sha256:7af7896e1af9e285f6cb50d8a0c0b7a0ebc123e8653389fe3d91d56703093ca1

Observation e22c41d7-270b-4be6-a936-30cd48294d75 · 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 OPT: Open Pre-trained Transformer Language Models

Reference 105

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local_arxiv, observed 2026-05-14T23:07:42.593407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-14T23:07:42.245641Z digest=sha256:b633e1536ce01036d04301fa7ee5138c862a2d6b774ad017266ee489278517ef

Observation c4245c76-0157-4c77-a02e-781ff02c8728 · inbound

BloombergGPT: A Large Language Model for Finance cites this paper.

BloombergGPT: A Large Language Model for Finance OPT: Open Pre-trained Transformer Language Models

Reference 139

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0be7d67d-db92-4426-883d-75cd10358ae1 · inbound

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face cites this paper.

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face OPT: Open Pre-trained Transformer Language Models

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e97d6091-0ff7-45f1-9425-70664e53e15e · inbound

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society cites this paper.

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society OPT: Open Pre-trained Transformer Language Models

Reference 131

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-14T01:40:53.351795Z digest=sha256:14d56233f532bcbdca5e52160b4c20f825d76676921448fef8467cb3b33fea84

Observation 4bfaee43-79a5-453d-819c-b9e8776ad7b1 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models OPT: Open Pre-trained Transformer Language Models

Reference 92

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 13bf0c7d-86f4-4648-9e04-cc5924751a23 · inbound

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling OPT: Open Pre-trained Transformer Language Models

Reference 177

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local_arxiv, observed 2026-05-15T17:45:17.659224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d783e0a3-a4d6-43c2-9aef-99482471160c · inbound

Instruction Tuning with GPT-4 cites this paper.

Instruction Tuning with GPT-4 OPT: Open Pre-trained Transformer Language Models

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bcf85aca-e9c9-490c-a91b-5ee4cc34586a · inbound

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models cites this paper.

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models OPT: Open Pre-trained Transformer Language Models

Reference 78

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-16T10:03:58.971585Z digest=sha256:205f2eeb911a6d790628bcbd17ea2dbf95a519ab93733a0c12acfd1a5e6dbddb

Observation befe83aa-0534-4f38-91e5-e5cae77ade0d · inbound

Visual Instruction Tuning cites this paper.

Visual Instruction Tuning OPT: Open Pre-trained Transformer Language Models

Reference 60

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fcf60ea2-b0a9-48aa-8ec2-111d3152caed · inbound

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models cites this paper.

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models OPT: Open Pre-trained Transformer Language Models

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9fe471de-0366-45c8-8ae3-e99f9c53e3ae · inbound

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency cites this paper.

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency OPT: Open Pre-trained Transformer Language Models

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0eb560bf-716d-4408-8d93-0629dd0cc843 · inbound

The Internal State of an LLM Knows When It's Lying cites this paper.

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Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b824ca1b-d691-4ace-9ecb-392aaed5442d · inbound

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes cites this paper.

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes OPT: Open Pre-trained Transformer Language Models

Reference 113

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7f5b49fb-fed5-412e-8c0b-fcb09c866c1d · inbound

Otter: A Multi-Modal Model with In-Context Instruction Tuning cites this paper.

Otter: A Multi-Modal Model with In-Context Instruction Tuning OPT: Open Pre-trained Transformer Language Models

Reference 101

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d83912fc-1da1-442b-b14b-828afdb52f33 · inbound

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

StarCoder: may the source be with you! OPT: Open Pre-trained Transformer Language Models

Reference 116

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 00743eca-d43d-4f66-8b69-91eb324e821b · inbound

VideoChat: Chat-Centric Video Understanding cites this paper.

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Reference 57

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local_arxiv, observed 2026-05-13T23:30:00.739742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0321d925-5020-4498-bf57-8eb2d1a38cd4 · inbound

OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models cites this paper.

OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models OPT: Open Pre-trained Transformer Language Models

Reference 107

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local_arxiv, observed 2026-05-17T09:55:35.557414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 42ca2a48-7b9f-4d47-84fe-7be523dadfb3 · inbound

MemoryBank: Enhancing Large Language Models with Long-Term Memory cites this paper.

MemoryBank: Enhancing Large Language Models with Long-Term Memory OPT: Open Pre-trained Transformer Language Models

Reference 11

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local_arxiv, observed 2026-05-16T07:18:09.051576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 012a2552-eee9-4303-84cd-846687718c93 · inbound

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering cites this paper.

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Reference 63

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f9f396a2-7cd6-4fc6-a5e9-f0ce6c9b5aee · inbound

QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.

QLoRA: Efficient Finetuning of Quantized LLMs OPT: Open Pre-trained Transformer Language Models

Reference 72

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 196911c5-4bfc-4a4c-81dd-64f74b9b81ab · inbound

Gorilla: Large Language Model Connected with Massive APIs cites this paper.

Gorilla: Large Language Model Connected with Massive APIs OPT: Open Pre-trained Transformer Language Models

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation df4e93e3-8fb1-49e0-8b9a-af0a543f26e1 · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models OPT: Open Pre-trained Transformer Language Models

Reference 140

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local_arxiv, observed 2026-05-18T01:35:21.524357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 63bffabe-21b0-4685-860d-892509d8e277 · inbound

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

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Reference 11

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local_arxiv, observed 2026-05-20T14:04:58.315231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 273798f6-6117-48cd-9cce-fd9ed4d51e88 · inbound

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

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Reference 46

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local_arxiv, observed 2026-05-13T20:43:45.898343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2dd15333-785b-4d25-a3a0-76fe8751b6ad · inbound

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

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Reference 24

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local_arxiv, observed 2026-05-12T17:40:27.982951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e4a8c8c6-f9b3-4021-aeb8-9c1db567286a · 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 OPT: Open Pre-trained Transformer Language Models

Reference 39

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local_arxiv, observed 2026-05-17T18:00:50.491623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4b5a40e2-c134-4ef6-923e-eda740d6c207 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models OPT: Open Pre-trained Transformer Language Models

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 26cbd2d7-8a40-47d7-9e58-145fce4212f6 · inbound

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models cites this paper.

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Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 20e0c407-28f6-454b-8caf-4fb1cfdb9431 · inbound

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment OPT: Open Pre-trained Transformer Language Models

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1836390f-140f-4f5c-81ab-4e3f5baa3ec8 · inbound

Steering Language Models With Activation Engineering cites this paper.

Steering Language Models With Activation Engineering OPT: Open Pre-trained Transformer Language Models

Reference 110

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation df086d14-8733-4c9e-ab18-a790d0a84d64 · inbound

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning cites this paper.

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Reference 69

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 75626fe5-d11e-4f77-8cd3-5785faa1cee0 · inbound

Efficient Memory Management for Large Language Model Serving with PagedAttention cites this paper.

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Reference 67

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 77b93b1b-2b74-4911-854f-1fa53b1fa836 · inbound

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers cites this paper.

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers OPT: Open Pre-trained Transformer Language Models

Reference 89

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-16T06:11:49.475825Z digest=sha256:e2953b3c7490db9a43a71d081664da671b2e3ea6c044f4c7d1068c7a81090ff6

Observation c7aa98c0-5f95-4d71-a270-4d1c0552cb96 · inbound

Baichuan 2: Open Large-scale Language Models cites this paper.

Baichuan 2: Open Large-scale Language Models OPT: Open Pre-trained Transformer Language Models

Reference 79

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7e2ed029-fd03-4cb4-955d-b769dbe1fc56 · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers OPT: Open Pre-trained Transformer Language Models

Reference 296

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5a1474a1-e1d7-4b47-a714-11f409942f5a · inbound

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs cites this paper.

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs OPT: Open Pre-trained Transformer Language Models

Reference 50

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a85ee08a-248b-4e70-9e04-63bf64069a34 · inbound

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning cites this paper.

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning OPT: Open Pre-trained Transformer Language Models

Reference 58

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6ff834b0-7d1c-4fc2-a425-333a803e509a · 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 OPT: Open Pre-trained Transformer Language Models

Reference 71

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 12e421d9-23c6-484f-a0ac-5062d3218213 · inbound

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V cites this paper.

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V OPT: Open Pre-trained Transformer Language Models

Reference 60

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7cb74263-c1ed-42e2-ad09-14c7a14af2f7 · inbound

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection cites this paper.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection OPT: Open Pre-trained Transformer Language Models

Reference 81

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local_arxiv, observed 2026-05-12T14:15:11.359841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:a584e8a4fea91a7d8b502db94922030842fe7f5926b17f4608068a63b0e69438

Observation 22ad69ff-de9e-4a3f-ab8c-84717bc5f5a5 · inbound

Detecting Pretraining Data from Large Language Models cites this paper.

Detecting Pretraining Data from Large Language Models OPT: Open Pre-trained Transformer Language Models

Reference 81

Resolution
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local_arxiv, observed 2026-05-17T18:07:24.683026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 596c5f4d-4a2f-4c49-9bbd-ef4c71d4f37c · inbound

An Embodied Generalist Agent in 3D World cites this paper.

An Embodied Generalist Agent in 3D World OPT: Open Pre-trained Transformer Language Models

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 844c0d36-6ac3-4fa7-9116-c8a03a6c7404 · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models OPT: Open Pre-trained Transformer Language Models

Reference 88

Resolution
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local_arxiv, observed 2026-05-16T09:46:10.112969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 774ee626-bc61-4b0b-9ccb-3867c51e9d38 · inbound

TinyLlama: An Open-Source Small Language Model cites this paper.

TinyLlama: An Open-Source Small Language Model OPT: Open Pre-trained Transformer Language Models

Reference 42

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8a93a5c5-5dd9-4847-ae43-80d5adef0bba · inbound

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads cites this paper.

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads OPT: Open Pre-trained Transformer Language Models

Reference 50

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 01d3d961-a39d-4144-bb74-6beda18b29d1 · inbound

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model cites this paper.

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model OPT: Open Pre-trained Transformer Language Models

Reference 97

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 687a9e69-9a39-4182-9fd1-6741b04eb4d3 · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey OPT: Open Pre-trained Transformer Language Models

Reference 86

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 00165936-c179-4da1-b903-96878ccc4b97 · inbound

ORPO: Monolithic Preference Optimization without Reference Model cites this paper.

ORPO: Monolithic Preference Optimization without Reference Model OPT: Open Pre-trained Transformer Language Models

Reference 58

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e0b12bfc-28f4-495d-9196-b91b950d835a · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code OPT: Open Pre-trained Transformer Language Models

Reference 186

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arxiv_id, observed 2026-05-10T20:53:19.162556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 40cab045-57f1-4738-98c6-fadb2efaa41d · inbound

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training OPT: Open Pre-trained Transformer Language Models

Reference 131

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local_arxiv, observed 2026-05-16T04:09:36.408532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation eb4be15c-5221-4559-9bf6-765e402fa9fb · inbound

Caption-Matching: A Multimodal Approach for Cross-Domain Image Retrieval cites this paper.

Caption-Matching: A Multimodal Approach for Cross-Domain Image Retrieval OPT: Open Pre-trained Transformer Language Models

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7fee25fd-a038-4e5f-aee4-3460ba255683 · inbound

Automated Description Generation of Cytologic Findings for Lung Cytological Images Using a Pretrained Vision Model and Dual Text Decoders: Preliminary Study cites this paper.

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Reference 26

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local_arxiv, observed 2026-05-24T02:43:47.418292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e6e3805c-0bb5-4abe-b963-7e4ca6a48ceb · inbound

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models cites this paper.

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Reference 2

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local_arxiv, observed 2026-05-17T07:44:47.412650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c3f77e25-fd0a-41d5-92cc-f38fa55e6b26 · inbound

Topic-Based Watermarks for Large Language Models cites this paper.

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Reference 53

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verified exact
local_arxiv, observed 2026-05-24T02:03:43.924728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cce8e37e-730f-4cea-b647-22880aa5769d · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

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Reference 168

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local_arxiv, observed 2026-05-24T02:15:55.534384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c475200d-ba09-4451-bb1c-7343d915229b · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

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Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d36b0696-0485-42c3-bca0-16607033cd43 · inbound

A Survey on Vision-Language-Action Models for Embodied AI cites this paper.

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Reference 286

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local_arxiv, observed 2026-05-24T01:25:54.496502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 536aeaf9-7003-4b57-8c62-8151284271b3 · inbound

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation cites this paper.

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Reference 43

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verified exact
local_arxiv, observed 2026-05-11T22:09:16.812749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 395dfc0c-ea25-4083-b250-9e4c1df21721 · inbound

ProTrain: Efficient LLM Training via Memory-Aware Techniques cites this paper.

ProTrain: Efficient LLM Training via Memory-Aware Techniques OPT: Open Pre-trained Transformer Language Models

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-23T23:53:39.452820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f1e5bc3d-1d71-4819-a400-87485dd238ab · inbound

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools cites this paper.

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools OPT: Open Pre-trained Transformer Language Models

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-05-11T08:08:09.707730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation acd584bc-f244-4a67-aa6e-0efbfddab96a · inbound

A systematic framework for generating novel experimental hypotheses from language models cites this paper.

A systematic framework for generating novel experimental hypotheses from language models OPT: Open Pre-trained Transformer Language Models

Reference 122

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local_arxiv, observed 2026-05-23T21:55:50.890598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-23T21:54:17.835390Z digest=sha256:c9af4bb4197540919e1a7c313a110263108d25fa20847821cf4487062f195996

Observation 297a21fe-7022-469c-9b71-a0740b0ddfe9 · inbound

General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model cites this paper.

General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model OPT: Open Pre-trained Transformer Language Models

Reference 53

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T20:50:57.913525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-17T20:50:57.814634Z digest=sha256:4a4d69a71adc2870f66937855669f01ad98ea0c3637f77fff77b3baf57a78910

Observation 179d7e1d-a86c-49e0-852c-fdfbc6e89fe9 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey OPT: Open Pre-trained Transformer Language Models

Reference 178

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local_arxiv, observed 2026-05-23T20:58:25.782915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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When Attention Sink Emerges in Language Models: An Empirical View cites this paper.

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Reference 63

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Observation f81655f2-28ed-479d-ac3a-0496687260f7 · inbound

Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloading cites this paper.

Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloading OPT: Open Pre-trained Transformer Language Models

Reference 46

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Dictionary Insertion Prompting for Multilingual Reasoning on Multilingual Large Language Models cites this paper.

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Reference 38

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 11d4a3d0-1e99-4f23-96b5-1fcef8acc2eb · inbound

Challenges in Guardrailing Large Language Models for Science cites this paper.

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Reference 48

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Observation e928a47b-d831-43a0-8a0f-b9bfbfa6e1ba · inbound

ClevrSkills: Compositional Language and Visual Reasoning in Robotics cites this paper.

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Reference 50

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Pie: Pooling CPU Memory for LLM Inference cites this paper.

Pie: Pooling CPU Memory for LLM Inference OPT: Open Pre-trained Transformer Language Models

Reference 50

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Observation b61d2b81-d828-4234-8750-e2005d9a4c6e · inbound

AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference cites this paper.

AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference OPT: Open Pre-trained Transformer Language Models

Reference 77

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Observation bff04b1b-4109-4d34-9c08-b81f0e96675d · inbound

Xmodel-1.5: An 1B-scale Multilingual LLM cites this paper.

Xmodel-1.5: An 1B-scale Multilingual LLM OPT: Open Pre-trained Transformer Language Models

Reference 50

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Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention cites this paper.

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Reference 33

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MARS: Unleashing the Power of Variance Reduction for Training Large Models cites this paper.

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Reference 88

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AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment cites this paper.

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Reference 60

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Observation c36ea928-d54f-494f-832c-4ea022528cdf · inbound

Brain-to-Text Decoding with Context-Aware Neural Representations and Large Language Models cites this paper.

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Reference 54

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Observation 320b8289-8f88-42f6-87dd-731c15ff03be · inbound

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization cites this paper.

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization OPT: Open Pre-trained Transformer Language Models

Reference 58

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Observation 1f41e075-36e8-4339-9937-0ccabc18468f · inbound

EfQAT: An Efficient Framework for Quantization-Aware Training cites this paper.

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Reference 21

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Observation 96114ba4-97b0-4a2e-82ab-d502a5f31661 · inbound

MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs cites this paper.

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Reference 53

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Observation 9b19c740-c229-45dc-84e3-1e0ccc58d769 · inbound

Federated Co-tuning Framework for Large and Small Language Models cites this paper.

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Reference 21

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local_arxiv, observed 2026-05-23T17:08:12.517620Z

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Observation 6d2025b9-d479-43f7-a13b-0019896050f4 · inbound

BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration cites this paper.

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Reference 57

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Observation 7bee0f17-b170-400d-909f-d9188d3ff4fe · inbound

SparseInfer: Training-free Prediction of Activation Sparsity for Fast LLM Inference cites this paper.

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Reference 19

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Observation 93831b67-f833-47ff-8f56-e3dfd27f6d81 · inbound

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text cites this paper.

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Reference 42

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