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Paper Citation Record · LEDGER

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

As of 5 August 2026, this Paper Citation Record lists 100 of 283 outbound references and 94 inbound Pith citation observations for arXiv:2002.08155.

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

pith.paper-citation-record.v1
2002.08155 v4

Coverage vector

measured 100 of 283 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T21:04:26.198288Z

measured 194 of 194 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 94 of 94 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:36:36.420933Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 283 outbound references displayed

  • verified exact17
  • verified fuzzy66
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

250
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 115c3abb-b847-4b84-a315-17c722012d8c · outbound

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

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Advances in neural information processing systems , pages=

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.354770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:2db917559f0bb99b815de0c88d6cc2d9772e4e3541c896bffd939bf41e554cb4

Observation dc69bb65-f477-4d5a-a38d-29142f21dbe6 · outbound

This paper cites Proceedings of the 20th international conference on Computational Linguistics , pages=.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Proceedings of the 20th international conference on Computational Linguistics , pages=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.320592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:0970d5d4b7e456697bdd06a4cac53108f5021edb34656399427a24ad54d22946

Observation 87ce1ae4-af08-48c5-9e02-d0457490a665 · outbound

This paper cites Proceedings of the 40th annual meeting on association for computational linguistics , pages=.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Proceedings of the 40th annual meeting on association for computational linguistics , pages=

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.044442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:4059f144f3a624f75ad01e39910f4fd0410def2b79df141709bf9dd8b7ddaabb

Observation 84b5cc15-34a2-420e-b278-ed9fa81d558a · outbound

This paper cites URL https://s3-us-west-2.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages URL https://s3-us-west-2

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.358293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:395572bfb238d86cd5a73232d9a42842d75186798be30fe18d3bd22baa863687

Observation 437931d8-c600-4d9c-804f-8f3ec17f763f · outbound

This paper cites BioBERT: a pre-trained biomedical language representation model for biomedical text mining.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T21:04:26.292107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:56a5eebb793db2bc8beafc5d19778f58e619a6d9684e2816bec3ce546f14ae6e

Observation 4923f3cc-2abf-44d7-9f4d-e956f4dcfacf · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T23:59:38.201352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:3f994c28d5d0668be4e66f862ae6bea5b599bc268db871b66e8e319396a9396c

Observation 1e373496-1b6e-42ee-875f-971ea14fae89 · outbound

This paper cites Le and Christopher D.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Le and Christopher D

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.188883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:19308d8db4fbff4f60166185f85586e22281d0101e68b764174e9b239bc00645

Observation d2bc6ba9-edb2-49d1-bbd0-44488a978391 · outbound

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

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Advances in neural information processing systems , pages=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.370921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:6fac109ecb92950481ea18dcb908dd9bdf7d32546b8a5049528153d14716095f

Observation e61e14ce-ac83-4ecf-b595-af9cee0183b9 · outbound

This paper cites Advances in Neural Information Processing Systems , pages=.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Advances in Neural Information Processing Systems , pages=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.290962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:5d67999ac3b46b6427f4e714bd0a21a17e1f4562c6a7c7fafb427727b24bbe94

Observation 45a667cc-1ba6-4459-b7f9-ce349377ab1a · outbound

This paper cites International Conferenceon Learning Representations , year=.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages International Conferenceon Learning Representations , year=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.117598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:a4f3316460f52563bd1bbe4fcc3076375857ca03c0b6cc7883448d03bf3cc92f

Observation 30efc955-b350-49ff-9d8e-4d3c4780d62f · outbound

This paper cites 2000 , publisher=.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 2000 , publisher=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.256620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:3d9b53f5a9616160a52c29ce83bce3a24b45c4f61f40fa710b768f2ed6c2e9c5

Observation 7febd57d-b4b4-4063-ae6c-f21cc60e24cf · outbound

This paper cites 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) , pages=.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) , pages=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.298230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:3290d4cc372b6a0c70b2a26d0b7cf66a19ad2c8fcfaf08e31960c9b23d632863

Observation d3a4242d-5232-461d-9800-41daa80cc39c · outbound

This paper cites Foundations and Trends.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Foundations and Trends

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.374660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:8db523556c6de5e08216f32698cf1395f83620a393bd585efd4fc4266b5d5feb

Observation 775b4c63-b3b5-4732-84af-41272d613252 · outbound

This paper cites Proceedings of the 45th annual meeting of the association for computational linguistics companion volume proceedings of the demo and poster sessions , pages=.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Proceedings of the 45th annual meeting of the association for computational linguistics companion volume proceedings of the demo and poster sessions , pages=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.283123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:12a3305e86e82fab6cfadc00e6f7b24ce5b9bb0ac099fa7f97cd1233cb3e3ef7

Observation f078061f-4fda-4e83-b327-28928a31a258 · outbound

This paper cites Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.124898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:a17669ea253ab7fc7e706ccc01ad5039644d8d707235066902b5f7a09fd1dd8f

Observation eb370f32-49d9-4298-85f6-e079d66d633d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Adam: A Method for Stochastic Optimization

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T21:04:26.304735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:200351c5df1260c55639424206a1407e703862a6db0e5d54ec612ef6caadd8c9

Observation ffb5bfcc-4cb6-4d3e-949f-14259edad9c8 · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-14T00:28:31.366118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:d71ebfc6ac7e3c2d6a8569be23668aca3de3dc4489cc258cf89b918cf92a772d

Observation 38435aff-d544-4d35-88aa-8cf244854433 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-13T21:04:26.338244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:63c25c351334acfbaef35938a4b2a207b8beb21b12295074999ee33ef0b98424

Observation 2cbfd66c-04a3-40b7-b52d-6d8bb768950a · outbound

This paper cites Le, and Christopher D.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Le, and Christopher D

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T00:28:31.145053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:675745a454d316982ed7fa84e3d47f8db752f5604819a2883d04cfebfffccaca

Observation 82e17d63-baa7-474d-8c8e-e20b93a24d2f · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-13T21:04:26.298685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:5045ee1293ae040db4e81c0f4bdc236f4b562692ea36df7613f8c2b9d9329f68

Observation 87034e6e-bcf4-4e02-935f-9fe104a871ac · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-14T00:28:31.017818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:7b9cbf4340a65b423890fa1908f2c5bd2831856b05961bcf743b33bf8c3f5b6b

Observation 14955081-cb65-4099-85e6-31b77630e422 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-13T21:04:26.307854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:6970c963ec1445f36970f3e8683c9b503f7db87d858971e19e34782fc139abc0

Observation fccb23fb-864f-4a73-ad2d-92e7102630fa · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-14T00:28:31.305610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:04e3ed88069eb7f0d0b69b3903753e6b478fa018e0d9a8bd2b58185f5e5bf9b9

Observation 2ccc57fd-dea4-419b-8053-de7ceccbff8c · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-14T00:28:31.138100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:58c02cbf8c7e98c1e05f98518b070f01ad610c1abf6d9a139bfbb656be31eba5

Observation 6e519c5b-6b45-4c45-9553-457db59dbdf1 · outbound

This paper cites Learning and Evaluating Contextual Embedding of Source Code.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Learning and Evaluating Contextual Embedding of Source Code

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.346760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:7d7138bf81f9f09bf3fc97203dd12cfdd6b16ed3fee3b5187184636c74951acf

Observation 3a02a71e-73c4-498a-813e-b07f9ca46e7a · outbound

This paper cites Convolutional Neural Networks for Sentence Classification.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Convolutional Neural Networks for Sentence Classification

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.288829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:cb15cf10b8e85a584b96304b1462dca317ac760b1b39762e9b35d3b0faea66de

Observation e8f5548a-c355-4fb8-9e29-4e9f0e4e4fc1 · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-05-14T00:28:31.121032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:8a658bd6c15e54d3020acb46b58f278d4921678f9944984fac95dbeb38fd3353

Observation 56c3a334-b85f-4899-bead-8ef4337dffbf · outbound

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

CodeBERT: A Pre-Trained Model for Programming and Natural Languages BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-13T21:04:26.295495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:2499e78ccf7c3ff29db1b9930e21180a3ad2d814e27f7adfe0daebec7c75ca55

Observation 4f74f1db-6312-4fff-a8f6-4546d416fe07 · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-05-14T00:28:31.302343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:9282e254b993fb1d95b568b82b1f47582aa68dbd4c7ffbb52d34eecadf8f853b

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

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

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

Reference 47

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:0258d204370e4cb142a33a7c55743845e5f8939a04744c682ff528a5f6de9992

Observation eab1f8bc-1884-4488-9856-8601428d3276 · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-13T21:04:26.348748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:567ea5f42dbb8315967878e3582e080ce7116a1babb336c02b7375086352b249

Observation 9e23aa98-2e3d-4495-9990-dfb02d5c32df · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-13T21:04:26.350638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:cf85e74104d3e54828d87468bbf236efa5e8fa1388e66d99e5bddb87ef5eb0f9

Observation 2d484aa9-b4c4-44d9-913e-87430ef3f7fa · outbound

This paper cites Deep contextualized word representations.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Deep contextualized word representations

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.313345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:3d5dad34da4df2b5db7817f186806cefcbac8e53fb5b24df75ca86c85338595a

Observation 50e69b32-a8a5-411b-8bec-9d0dc5c97c31 · outbound

This paper cites Language Models as Knowledge Bases?.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Language Models as Knowledge Bases?

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:51:46.148328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:246ec1ad2556bdca4dfebb4ea8572401b0a63bd52472d52564c098e62b19a99d

Observation 1a9b5940-2549-4384-8644-b957d8caa688 · outbound

This paper cites How multilingual is Multilingual BERT?.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages How multilingual is Multilingual BERT?

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.319739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:9c26e69e0e1b2cad4d9311f073d16129d101aa77208c81364a00310c3298ed7e

Observation 5df967cc-e6f5-4d63-912e-02fc92b1ab51 · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-05-13T21:04:26.352718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:c935a668d7d58e7ac06078ebfdf3442d93222a0e7db430227e62f01301c2c6aa

Observation adeebdc4-7c0f-4f90-addb-1f17bd101815 · outbound

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

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-05-13T21:04:26.329245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:ffd911427ddb0a1432da309b1ba3d3be740566f46aa2656fe58a40acf356bbef

Observation 7d9f52bd-d61f-4de9-86df-849cd3fcc7e8 · outbound

This paper cites A Neural Attention Model for Abstractive Sentence Summarization.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages A Neural Attention Model for Abstractive Sentence Summarization

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.331893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:de1899ed6190d203037d48817047e3aecc8e19861d959f359ff7e25ab9aaf295

Observation cd433f35-c5af-4b81-8a91-363358b1087f · outbound

This paper cites VideoBERT: A Joint Model for Video and Language Representation Learning.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages VideoBERT: A Joint Model for Video and Language Representation Learning

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.334949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:19198b63ba4d17883894f1c54a438b795c2acd606d02f77b33f786451fb28ecf

Observation 88b4f8f3-55bb-4c71-9159-edd346bbcdab · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-05-13T21:04:26.354534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:b62c75dfc598c5e6d48ed00ddff7ed906e013d126727178c3e73d5dba6645c9f

Observation fed11f91-2218-41fd-9183-b62c4350f03e · outbound

This paper cites Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.341056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:e83804236805061aff25028f05039a5d7dccd2cbfef6fc755621f3e5ea89efa1

Observation bc6621dd-7210-40c5-8fe5-c17a2a47ac55 · outbound

This paper cites oLMpics -- On what Language Model Pre-training Captures.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages oLMpics -- On what Language Model Pre-training Captures

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.344088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:517f3d501519328ae8a6d2b1a64d8d3cd619f78355d95b403e1d485a2be7f251

Observation 8fdeff60-b173-4a10-b732-c54356255585 · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-05-13T21:04:26.356520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:45865efff9db9d9c9d88db3bd50b4bf39324ff8ad3beb0c25a706debeedcb060

Observation 2918a345-e715-4da0-9c48-a7a64ece5da1 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-13T21:04:26.276097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:bf9944059272153dec984b135f553c2c0de913878dc3442bf85bdf5d07b4fe4d

Observation fed84329-a0b2-4907-997a-8b87b5c28834 · outbound

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

CodeBERT: A Pre-Trained Model for Programming and Natural Languages XLNet: Generalized Autoregressive Pretraining for Language Understanding

Reference 62

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:709f54faec1597573fd209e871a8dde078733ea9ec22fa52c9f9c39dfeb667b9

Observation 666eb426-f3d5-4b23-830b-9b203df41d78 · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-05-13T21:04:26.358746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:adf907b3e0df9656ceba492a60b382b22853bb9a92884034df93171820a60215

Observation e0a9dfbc-ca26-44f7-9886-7c93c91f84ee · outbound

This paper cites 以構詞律與相似法為本的中文動詞自動分類研究 (A Hybrid Approach for Automatic Classification of C hinese Unknown Verbs) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 以構詞律與相似法為本的中文動詞自動分類研究 (A Hybrid Approach for Automatic Classification of C hinese Unknown Verbs) [In C hinese]

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.360771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:ea6386bb6630031abcf55aaaf2b1841ab0e8d428497fd81e4c2b05ca627d8469

Observation 1c663183-a59c-4739-a419-161efd38dd56 · outbound

This paper cites Word Sense Disambiguation and Sense-Based NV Event Frame Identifier.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Word Sense Disambiguation and Sense-Based NV Event Frame Identifier

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.362805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:a24f5b1b4b2bd8f2aa960d44f42b4379052f51348f1deec45db594db8dc74847

Observation be2cc068-ad6d-458d-84b9-f77c0098e213 · outbound

This paper cites 一種基於知網的語義排歧模型研究 (A Study of Semantic Disambiguation Based on H ow N et) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 一種基於知網的語義排歧模型研究 (A Study of Semantic Disambiguation Based on H ow N et) [In C hinese]

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.364616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:cbbfaec40633b38bdfb219a951682a695add950255e286ad738a54192f2de97c

Observation 6f4c2865-8025-4f1e-9529-16571f35f065 · outbound

This paper cites 基於文本概念和k NN 的跨語種文本過濾 (Cross-Language Text Filtering Based on Text Concepts and k NN ) [In C hinese.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 基於文本概念和k NN 的跨語種文本過濾 (Cross-Language Text Filtering Based on Text Concepts and k NN ) [In C hinese

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.366430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:abe0ce422bb1c2970170b9e255dfd7b9986c7504318836ff9df5bc19149ee5f6

Observation 4c091ba6-6d66-46a8-806a-c2458f09fad5 · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-05-13T21:04:26.368082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:44a594f3f043fabdcb7ae181688b2f7b998ecaa096eaf06a660b0ccf5eff3299

Observation f8c3d523-af87-4eb3-bf1e-462a25fdca8a · outbound

This paper cites 情境 --- --- 組織/存放辭彙語義知識的恰當框架 (Situation -- A Suitable Framework for Organizing and Positioning Lexical Semantic Knowledge) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 情境 --- --- 組織/存放辭彙語義知識的恰當框架 (Situation -- A Suitable Framework for Organizing and Positioning Lexical Semantic Knowledge) [In C hinese]

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.369948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:30c9b3d3efb0f0c2012e7916aebb21a1b5c44721b069c1573e8b845aedb4ebb2

Observation 1685800e-a58c-4a40-8f63-80b2cfb5bc0c · outbound

This paper cites A Study on Word Similarity using Context Vector Models.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages A Study on Word Similarity using Context Vector Models

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.371730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:a5bfff3d8cafbb4eee80d79da524b40c271f3222aaaeae54c20fd90a6db0b991

Observation 266f4208-ffa0-44cd-a12f-0ece8ede309f · outbound

This paper cites 基於《知網》的辭彙語義相似度計算 (Word Similarity Computing Based on How-net) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 基於《知網》的辭彙語義相似度計算 (Word Similarity Computing Based on How-net) [In C hinese]

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.373599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:730ec98ad45f77b75052744fa5c1f09b15b1f7a2718583cc52302ec6ba91f215

Observation 02be45a3-eebf-45f4-8fd1-e711b6843287 · outbound

This paper cites 基於組合特徵的漢語名詞詞義消歧 (A Study on Noun Sense Disambiguation Based on Syntagmatic Features) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 基於組合特徵的漢語名詞詞義消歧 (A Study on Noun Sense Disambiguation Based on Syntagmatic Features) [In C hinese]

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.375155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:9f38645631f26b29f5932bae88eece9a71aa2dbe3b8c6aa82020ffdc29977219

Observation 7eb5c628-4aa6-4b88-810a-d806474540b2 · outbound

This paper cites 《現代漢語新詞語資訊電子詞典》的研究與實現 (Development and Study of the `` Modern C hinese New Words Information Electronic Dictionary '' ) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 《現代漢語新詞語資訊電子詞典》的研究與實現 (Development and Study of the `` Modern C hinese New Words Information Electronic Dictionary '' ) [In C hinese]

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.376851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:c8c973ff0c425a083b6d832e345670db8f771ff25975207a2748daf03a2d0269

Observation 9e3d70dd-77d9-4ed1-9446-8de73647ad14 · outbound

This paper cites 基於詞彙語義的百科辭典知識提取實驗 (An Experiment on Knowledge Extraction from an Encyclopedia Based on Lexicon Semantics) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 基於詞彙語義的百科辭典知識提取實驗 (An Experiment on Knowledge Extraction from an Encyclopedia Based on Lexicon Semantics) [In C hinese]

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.380510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:d97bf573c01cae97ce3d18e55f4a42e6b167bd3b289addd9c61445229d8f8846

Observation e649ae8e-6818-4316-aa31-66e6a2824ff9 · outbound

This paper cites Proceedings of the 28th Conference on Computational Linguistics and Speech Processing ( ROCLING 2016).

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Proceedings of the 28th Conference on Computational Linguistics and Speech Processing ( ROCLING 2016)

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.382271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:6d8fbc55beda9e4702a5b69eb6debab5ac4b18c373b34784f6aa9c975fb204e4

Observation 5c6cc9b9-a267-4318-b556-dd3109dfe487 · outbound

This paper cites 評估尺度相關最佳化方法於華語錯誤發音檢測之研究(Evaluation Metric-related Optimization Methods for M andarin Mispronunciation Detection) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 評估尺度相關最佳化方法於華語錯誤發音檢測之研究(Evaluation Metric-related Optimization Methods for M andarin Mispronunciation Detection) [In C hinese]

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.384148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:15cc616b8d45e65b1e0863ca161a81e428320b5d030429c47c8843809925f56e

Observation f3ad915a-c895-4f1a-8ea3-523abed440af · outbound

This paper cites 融合多任務學習類神經網路聲學模型訓練於會議語音辨識之研究(Leveraging Multi-task Learning with Neural Network Based Acoustic Modeling for Improved Meeting Speech Recognition) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 融合多任務學習類神經網路聲學模型訓練於會議語音辨識之研究(Leveraging Multi-task Learning with Neural Network Based Acoustic Modeling for Improved Meeting Speech Recognition) [In C hinese]

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.386028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:82811414882e4d4e79ef889c8307d1ef9f013031c6d24367819b8d849babcd52

Observation 0859e0c2-ea18-4a0c-83b8-9e0f7aeb568a · outbound

This paper cites 使用字典學習法於強健性語音辨識(The Use of Dictionary Learning Approach for Robustness Speech Recognition) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 使用字典學習法於強健性語音辨識(The Use of Dictionary Learning Approach for Robustness Speech Recognition) [In C hinese]

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.387717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:4478362872f403a528a66a6ccc93863692623bbd7b5ed4a744907601b2734a79

Observation b80df1d5-5c98-4656-9867-4fd2d7acc2e8 · outbound

This paper cites 以多層感知器辨識情緒於國台客語料庫 (Use Multilayer Perceptron To Recognize Emotion in M andarin, T aiwanese and H akka Database) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 以多層感知器辨識情緒於國台客語料庫 (Use Multilayer Perceptron To Recognize Emotion in M andarin, T aiwanese and H akka Database) [In C hinese]

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.389439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:20ac95b399e6e943facf90413646dbf2f95d1108a9b39ffa0183d750eb3682cc

Observation 043e9990-58b9-41d4-984a-52afc842a17f · outbound

This paper cites 「 V 到」結構的合分詞及語意區分(Word segmentation and sense representation for V-dao structure in C hinese)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 「 V 到」結構的合分詞及語意區分(Word segmentation and sense representation for V-dao structure in C hinese)[In C hinese]

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.391179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:ab408431ff37cacfed8b668391aa0e4b949bbf1c2dc462a01e2f8283565c72c5

Observation d637514a-5941-431c-a8ce-09092ae09525 · outbound

This paper cites 歌詞演唱錯誤偵測(Automatic Sung Lyrics Verification)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 歌詞演唱錯誤偵測(Automatic Sung Lyrics Verification)[In C hinese]

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.392897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:c25faf8a4a0a81db2843e1654858edff2f58c6f2461a7b4301236e5520f7fc35

Observation 242b2d4c-f10a-4fee-9dc5-ff642fe467a0 · outbound

This paper cites 基於詞語分布均勻度的核心詞彙選擇之研究(A Study on Dispersion Measures for Core Vocabulary Compilation )[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 基於詞語分布均勻度的核心詞彙選擇之研究(A Study on Dispersion Measures for Core Vocabulary Compilation )[In C hinese]

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.394725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:dbff6aad5b88595b2b9417dd0ba79d52260479c42f15a9c60fb5cf8d27a8bb77

Observation 70b0a10e-42f6-46f8-944f-797abd1df7d9 · outbound

This paper cites 什麼時候「認真就輸了」? --- --- 語料庫中「認真」一詞的語意變化(Do We Lose When Being Serious? --- C hange in Meaning of the Word `` Renzen(認真) '' in Corpora).

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 什麼時候「認真就輸了」? --- --- 語料庫中「認真」一詞的語意變化(Do We Lose When Being Serious? --- C hange in Meaning of the Word `` Renzen(認真) '' in Corpora)

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.396486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:380eea270515462fd1e18dd9baf409664f43004276406e616434606cf43f9fdc

Observation 80e28bc7-093b-4046-861e-d5bb4d356259 · outbound

This paper cites Crowdsourcing Experiment Designs for C hinese Word Sense Annotation.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Crowdsourcing Experiment Designs for C hinese Word Sense Annotation

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.398195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:ef46e4c52ccd377bbf13e5ea3f4424e4e75a44bbccb9f228f4d982930982289b

Observation 2005d3f0-ecb7-427a-910c-4b057099a8f2 · outbound

This paper cites 基於相依詞向量的剖析結果重估與排序(N-best Parse Rescoring Based on Dependency-Based Word Embeddings).

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 基於相依詞向量的剖析結果重估與排序(N-best Parse Rescoring Based on Dependency-Based Word Embeddings)

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.400122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:865f2be80109276fc690f4dd8f25e896f7f8d1061be98f2505a9ebb0b77ab821

Observation 4c12cecc-7b28-44bb-a3e8-81b0c4cb8540 · outbound

This paper cites 以語言模型評估學習者文句修改前後之流暢度(Using language model to assess the fluency of learners sentences edited by teachers)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 以語言模型評估學習者文句修改前後之流暢度(Using language model to assess the fluency of learners sentences edited by teachers)[In C hinese]

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.401982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:be5a0cf32fa57b62048a3f373aacbf5fbe82af1da5aaa662c5a7612670a8970b

Observation 9c1661bf-31a1-4a1b-90be-758ce82eb736 · outbound

This paper cites 運用序列到序列生成架構於重寫式自動摘要(Exploiting Sequence-to-Sequence Generation Framework for Automatic Abstractive Summarization)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 運用序列到序列生成架構於重寫式自動摘要(Exploiting Sequence-to-Sequence Generation Framework for Automatic Abstractive Summarization)[In C hinese]

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.403623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:da5a03ea7da792a546b674cec14d2e368ec8197b7c347777838d4ab19eee88b4

Observation 98795ae8-1568-4a6c-bafd-d573c99c0215 · outbound

This paper cites 基於字元階層之語音合成用文脈訊息擷取(Character-Level Linguistic Features Extraction for Text-to-Speech System) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 基於字元階層之語音合成用文脈訊息擷取(Character-Level Linguistic Features Extraction for Text-to-Speech System) [In C hinese]

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.405217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:e2242609e5217c4623c4819e1007309f1322d1f2ae540fc4f28b1f686383c5e9

Observation 2db235f2-278c-4f2d-8b9a-29a77f0903ac · outbound

This paper cites 多通道之多重音頻串流方法之研究(Multi-channel Source Clustering of Polyphonic Music) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 多通道之多重音頻串流方法之研究(Multi-channel Source Clustering of Polyphonic Music) [In C hinese]

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.407055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:9416bddcfde5364c3611b1e969cf26f8bec216f832f888b62399f89900997c7f

Observation dfbf7dc6-7eb7-4fac-b5c5-dfdc9de5deb6 · outbound

This paper cites Support Super-Vector Machines in Automatic Speech Emotion Recognition.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Support Super-Vector Machines in Automatic Speech Emotion Recognition

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.408846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:449b9dc6397076ad382cac518aec17bdd462c21d707b294c96aabe6fdb7f425f

Observation 2ee46e07-4fd9-463c-b798-d2f41e74b5f1 · outbound

This paper cites Speech Intelligibility and the Production of Fricative and Affricate among M andarin-speaking Children with Cerebral Palsy.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Speech Intelligibility and the Production of Fricative and Affricate among M andarin-speaking Children with Cerebral Palsy

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.410721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:2409c16ae67a70840c87cbc16fa4be2dce96f9e284a805fad1cc1b5eee6284c3

Observation 1998e338-0b9b-48cf-87f1-2f566aca2100 · outbound

This paper cites 網路新興語言 & 耍 ' 之語意辨析:以批踢踢語料庫為本(On the semantic analysis of the verb shua3 in Taiwan M andarin: The PTT corpus-based study)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 網路新興語言 & 耍 ' 之語意辨析:以批踢踢語料庫為本(On the semantic analysis of the verb shua3 in Taiwan M andarin: The PTT corpus-based study)[In C hinese]

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.412532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:4448f16d0ee562b36cb96ee475a2d5a525f4ec6559b416a71cc97cc90141a29d

Observation 7191e08c-8624-49ce-93ea-d16864739c2f · outbound

This paper cites 非負矩陣分解法於語音調變頻譜強化之研究(A study of enhancing the modulation spectrum of speech signals via nonnegative matrix factorization)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 非負矩陣分解法於語音調變頻譜強化之研究(A study of enhancing the modulation spectrum of speech signals via nonnegative matrix factorization)[In C hinese]

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.414322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:21df3d1bb8f536e97809d76a28de8a5b995c52585ead7baa8aea10e0db7fc7f0

Observation 122cc282-528a-4868-86c8-3300b6a2b4bf · outbound

This paper cites 以多重表示選擇文章分類的樣本(Using Multiple Representations to Select Instances for Text Classification)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 以多重表示選擇文章分類的樣本(Using Multiple Representations to Select Instances for Text Classification)[In C hinese]

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.416378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:1537e5f19904908ac3524bd4df036ae4ca7c63ec5f257624a04b5ba17ffa949f

Observation 2219a85c-ed43-4347-9e98-5718a5f3cd48 · outbound

This paper cites Computing Sentiment Scores of Verb Phrases for V ietnamese.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Computing Sentiment Scores of Verb Phrases for V ietnamese

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.418221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:b68e09504ab732811cdb673be20b1119ceb7caa32bb3d98543fbb5e8b29bd13c

Observation 8fc0fb53-5ab6-4e03-b34c-133db0a568e6 · outbound

This paper cites Automatic evaluation of surface coherence in L 2 texts in C zech.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Automatic evaluation of surface coherence in L 2 texts in C zech

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.420106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:8fd82406971748f945adfbb819b61b1c0c025e89941f29967f0cad63d1c08938

Observation bd2257dc-0740-4026-a518-7cb827f0e99c · outbound

This paper cites F acebook 活動事件擷取系統( F acebook Activity Event Extraction System)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages F acebook 活動事件擷取系統( F acebook Activity Event Extraction System)[In C hinese]

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.422019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:331f38bb4fcc06d146d9d62753f5d59c80ebe9989e055309220e08923279077c

Observation 5ce6b506-b7d7-4b5a-959b-f5930a7a4f20 · outbound

This paper cites 標記對於類神經語音情緒辨識系統辨識效果之影響(Effects of Label in Neural Speech Emotion Recognition System)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 標記對於類神經語音情緒辨識系統辨識效果之影響(Effects of Label in Neural Speech Emotion Recognition System)[In C hinese]

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.423815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:12bbe1501eb54722a069d69cf603f5c5f6360871e5a6d73fd8475f45b97d410f

Observation 2e2a92eb-5e76-4ebf-8689-ead4dbf166e0 · outbound

This paper cites 基於深層類神經網路及表示學習技術之文件可讀性分類(Classification of Text Readability Based on Deep Neural Network and Representation Learning Techniques)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 基於深層類神經網路及表示學習技術之文件可讀性分類(Classification of Text Readability Based on Deep Neural Network and Representation Learning Techniques)[In C hinese]

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.425762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:c4c384c3ffcf6d0d644c10df633cc48ef8fa1479c066d4e8f5a268da3e5cc257

Observation 3d6fa381-94eb-4cc7-8751-329ad6545787 · outbound

This paper cites 命名實體識別運用於產品同義詞擴增(Using Named Entity Recognition Increases the Synonym of Products)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 命名實體識別運用於產品同義詞擴增(Using Named Entity Recognition Increases the Synonym of Products)[In C hinese]

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.428186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:92bf95a91e9af0e99b7f4c3bc0cec1eae7153b10237558c76e115eedb546a708

Observation 677084bf-d077-4f39-8110-ff2b1ca80937 · outbound

This paper cites Design of an Input Method for T aiwanese Hokkien using Unsupervized Word Segmentation for Language Modeling.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Design of an Input Method for T aiwanese Hokkien using Unsupervized Word Segmentation for Language Modeling

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.430300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:038a5e130893682a0efa6bcaaf0f9e12e2137968af125b8f8ee225cb7771b1a1

Observation ee7497de-a159-479c-9751-6cbc4a96f2ec · outbound

This paper cites Sarcasm Detection in C hinese Using a Crowdsourced Corpus.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Sarcasm Detection in C hinese Using a Crowdsourced Corpus

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.432113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:3e465d697d6c8d93be0258a5ec8fc73727c415077fd42ac92de800e3f1783173

Observation 593fb2cd-3516-49b2-beab-a586393c73e2 · outbound

This paper cites 基於深層類神經網路之音訊事件偵測系統(Deep Neural Networks for Audio Event Detection)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 基於深層類神經網路之音訊事件偵測系統(Deep Neural Networks for Audio Event Detection)[In C hinese]

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.433846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:dc06f113cde84220998d0a0e399d0c8ec83d2f6b89823f0a8ee4dee4f5abb6fc

Observation 1df194b8-d6d7-4bb6-bb36-628fcfa30bc7 · outbound

This paper cites 基於增強式深層類神經網路之語言辨認系統(Reinforcement Training for Deep Neural Networks-based Language Recognition)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 基於增強式深層類神經網路之語言辨認系統(Reinforcement Training for Deep Neural Networks-based Language Recognition)[In C hinese]

Reference 104

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.435946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:7a70712f446d5ac63a6621ca15b887b87010c435ae2a1db60f1434fe339cda15

Observation b4d902cb-67b3-4763-8044-bee3ac1c5af2 · outbound

This paper cites 中文近義詞的偵測與判別(Detection and Discrimination of C hinese Near-synonyms)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 中文近義詞的偵測與判別(Detection and Discrimination of C hinese Near-synonyms)[In C hinese]

Reference 105

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.438356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:b88137c95d0671691e4b2a7c881d3105b8bd34cde2b025324363227d1da66b7a

Observation 309b3f90-6be4-4f74-90c3-c2b386ba2e10 · outbound

This paper cites 構建一個中文國小數學文字問題語料庫(Building a Corpus for Developing the C hinese Elementary School Math Word Problem Solver)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 構建一個中文國小數學文字問題語料庫(Building a Corpus for Developing the C hinese Elementary School Math Word Problem Solver)[In C hinese]

Reference 106

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.440198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:aaecf3efcc124cc1740ce437e55f2687c7e5544f92860a9ecfbd1e881ae19d76

Observation b2ad9cb0-e6b7-4e90-875c-ef77f07f11a3 · outbound

This paper cites 基於深層遞迴類神經網路之多通道電視回聲消除系統(Multi-Channel Television Echo Cancellation based on Deep Recurrent Neural Networks)[In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 基於深層遞迴類神經網路之多通道電視回聲消除系統(Multi-Channel Television Echo Cancellation based on Deep Recurrent Neural Networks)[In C hinese]

Reference 107

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.442014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:b11ce945ee8cdeb799e7a4d09f4b6a685000af551a89c892c512c2bcc90676d4

Observation 0e54e00f-35c4-4a66-b5d6-be6ccbafd8ed · outbound

This paper cites an unresolved cited work.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Unresolved cited work

Reference 108

Resolution
unresolved
raw_fallback, observed 2026-05-13T21:04:26.444006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:b309d8e28f9c06b48f2db634ebaf6cbd44ebfb4502a95d11298947fe35faad7b

Observation a1bd96c3-d4b5-4bac-802b-7d585db9ae8b · outbound

This paper cites Generation of Conceptual-Level Text Cloud with Graph Diffusion.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Generation of Conceptual-Level Text Cloud with Graph Diffusion

Reference 109

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.445794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:390e651e89256b3c9df3ba0513b35f5234e351dc9d0cb8153c1eac43df1c4763

Observation af60c95f-f59a-4df0-9120-683b05763771 · outbound

This paper cites International Journal of Computational Linguistics & C hinese Language Processing, Volume 21, Number 1, June 2016.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages International Journal of Computational Linguistics & C hinese Language Processing, Volume 21, Number 1, June 2016

Reference 110

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.447774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:48040ed49c6dbd817d8b5325df4b855cf38930de128498231fff1b854448689f

Observation a4f67ebc-a3aa-4e78-9463-392b060320a4 · outbound

This paper cites A Segmentation Matrix Method for C hinese Segmentation Ambiguity Analysis.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages A Segmentation Matrix Method for C hinese Segmentation Ambiguity Analysis

Reference 111

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.449646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:46bed6d74265375c1119c10ba30f94a63bfb131540fdc8711d6d4c4a934fd732

Observation aaf361cc-81d4-4c66-958d-9db6ea3458c1 · outbound

This paper cites Linguistic Template Extraction for Recognizing Reader-Emotion.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Linguistic Template Extraction for Recognizing Reader-Emotion

Reference 112

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.451553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:bc1aa734fdcddc3dad493b350bbcc210e763a7e71a422c6abfa0f35b2a9bfe61

Observation 63211a42-0b8b-4db8-8de4-7087783ce6f3 · outbound

This paper cites Enriching Cold Start Personalized Language Model Using Social Network Information.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Enriching Cold Start Personalized Language Model Using Social Network Information

Reference 113

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.453542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:d6164601117bec3058e3cb9b21956118508737901678a6fb5733f299f008b533

Observation d5562c54-2584-49ca-b532-67e60765e3f8 · outbound

This paper cites Identifying the Names of Complex Search Tasks with Task-Related Entities.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Identifying the Names of Complex Search Tasks with Task-Related Entities

Reference 114

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.455347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:5ba4114a39e75e3125494f56f95b3a342895840d3e49d11dfab2fbc3a3ffb23a

Observation c9cc2d92-d942-48dc-8227-cf8da76c5619 · outbound

This paper cites International Journal of Computational Linguistics & C hinese Language Processing, Volume 21, Number 2, D ecember 2016.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages International Journal of Computational Linguistics & C hinese Language Processing, Volume 21, Number 2, D ecember 2016

Reference 115

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.457326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:93421081b1988c467cbb07a06335cb6a56a8bbcc62b3bc6a167ac0821fa0a454

Observation 09be7b25-69cd-4292-971d-a74af8070b1f · outbound

This paper cites 基於詞語分布均勻度的核心詞彙選擇 (A Study on Dispersion Measures for Core Vocabulary Compilation) [In C hinese].

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 基於詞語分布均勻度的核心詞彙選擇 (A Study on Dispersion Measures for Core Vocabulary Compilation) [In C hinese]

Reference 116

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verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.459287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:f44a036e1ec8adca20529dc3992680a7faf5cec963383ba9224a4688a1339366

Observation 1b55278f-428b-495b-a87a-ac87c376505f · outbound

This paper cites N-best Rescoring for Parsing Based on Dependency-Based Word Embeddings.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages N-best Rescoring for Parsing Based on Dependency-Based Word Embeddings

Reference 117

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T21:04:26.461295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:c7ba9a3a21abb3269bd9880a0bea09a6c9093354c917d7927009c539712f3596

Pith citing papers

Observation b25086a6-2320-4a2d-802c-b8230e741b1b · inbound

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

GraphCodeBERT: Pre-training Code Representations with Data Flow CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:46:10.983585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:c61902123ae5dbe2535ac540a884e6b5b672afc434ec4ea57f80c55c7b11d0b8

Observation f0753b62-7bff-47fe-b90f-995b4e65d24f · inbound

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis cites this paper.

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-05-14T20:01:14.696840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-14T20:01:14.492788Z digest=sha256:73322deb77817a0f90f4fe75b389bfef2e3d50ee9066fd5f05f22ef8d59fefba

Observation 9e308bbb-aa07-4a00-bf63-ad6d124bb763 · inbound

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

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.679969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:e07a3dc85f9fe0e957c0258190fdd8c1ac6633ac6a1cc0472e625190c9a616de

Observation b7ab3c1d-74ce-438b-bebb-428bd32d7e8b · inbound

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

DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-15T12:49:19.477239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T12:49:19.418548Z digest=sha256:541a94c8da2b3690956fe716d4b89bfb1a984bfd88b697f04e7034f833a22a3f

Observation 709531d8-d61e-462e-bcab-468bf7e6c092 · inbound

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

StarCoder: may the source be with you! CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 185

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:704dd0d93bb8742c1b6275b43eb2e5667efb70a074839fc02a221056280393f9

Observation 5515b1ca-569c-44c4-b581-3ea956af6036 · inbound

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs cites this paper.

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-24T08:14:10.477059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T08:11:01.612343Z digest=sha256:9c33b92091787b7b1866e98a4301f7004bde9dee1ba49924a90c63a7ac575af4

Observation 1dfd900c-a8b9-4c74-b83a-2e333f093f28 · inbound

GAIA: a benchmark for General AI Assistants cites this paper.

GAIA: a benchmark for General AI Assistants CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T15:46:03.247029Z digest=sha256:94eef8011311302fbaff964b9176d7e3ae3b89bcf825cf34f3d973e244b131d0

Observation 95cebcf0-d1c3-4ca6-9c2e-b25200b337ab · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-24T03:58:51.196692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:7ecc7efcd86d506c06714894075233387bdb66d65a7941f9df6165cb5ab0d072

Observation 04af0924-666e-4202-9512-15e174a52243 · inbound

DeepFWI: Identifying Bug-Sensitive Warnings with Multi-Modal Code-Warning Semantics cites this paper.

DeepFWI: Identifying Bug-Sensitive Warnings with Multi-Modal Code-Warning Semantics CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-24T02:53:48.742701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T02:49:45.773698Z digest=sha256:072639013c43952248148c6caee5a5b242ef428c51eba23cca6641991f522f58

Observation 696d5017-aa7b-43ca-add7-299c591f1f25 · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:168abb1839855e6c008820e16a4261db94b22e94d440d89164bbafdfca60f579

Observation 35e8236a-ad10-4d9e-a374-1b9ff7a6b9a3 · inbound

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? cites this paper.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.236949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:d897789843bdc189fed8b400921fdf45f305fb0027594c5bd3c840a74db4b8f2

Observation ea408d23-b844-4e56-9256-ba26b6e6f14e · inbound

Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points cites this paper.

Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-23T06:52:40.000181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T06:51:09.608735Z digest=sha256:a7a24de4cdd2b9ec91d4b89c8af303e933b4812fb9805d304c842b0a394d7658

Observation 975e262a-daf1-4c90-8976-cdc725984e89 · inbound

A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG cites this paper.

A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-23T01:42:23.181335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T01:41:25.033971Z digest=sha256:723cddb98de77905c039b9f9e7ea4ea0e26bd844ba40fac6e9058e7848ffe0e7

Observation a9c1baf4-031b-4580-850c-15bc9393f675 · inbound

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants cites this paper.

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-22T23:57:17.091718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T23:55:14.887237Z digest=sha256:cf0cfd070be2745a76d6c12989db660aaa801131ecee0c70e037e902539a7277

Observation f72e3545-576f-4230-a5df-358c1f63f3a2 · inbound

RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation cites this paper.

RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T06:40:27.206337Z digest=sha256:02cbd4e29a7ec53605ca22b2c10abe79e0adcb4de0e36ac46e0ad92dfb9a7618

Observation 702dceb1-689c-4dc6-8924-7004b2e034ac · inbound

Fine-Tuning Code Language Models to Detect Cross-Language Bugs cites this paper.

Fine-Tuning Code Language Models to Detect Cross-Language Bugs CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-19T02:42:56.396735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T02:42:12.245477Z digest=sha256:6183c0c868293d7983ea8fccea673e7d4107a2eb3232cf47fe637161dfeaf0df

Observation e24a1215-2ba3-4480-9ae2-f06b62451afc · inbound

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code cites this paper.

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T00:01:55.880192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:01:42.228190Z digest=sha256:e90cb924c940de3927f67832cad610380ec77cd50f1cbf8a9f2cd4c57743044a

Observation 17ae860c-7c8d-41c6-9f17-e868fc235e20 · inbound

LinkAnchor: An Autonomous LLM-Based Agent for Issue-to-Commit Link Recovery cites this paper.

LinkAnchor: An Autonomous LLM-Based Agent for Issue-to-Commit Link Recovery CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-18T22:41:53.084935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T22:41:25.159850Z digest=sha256:4723be43599f508890a8fc312c9c221f2c9a5d0c9ac4d1ccf2e3385f328e4e4d

Observation b72ee0d6-32c7-4691-b3ec-1e9942f74a4a · inbound

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention cites this paper.

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-18T20:56:51.778779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T20:54:30.449792Z digest=sha256:6b5c40b478309b6e0c084cc90e9859fa92fdb3de70e5d38359e20f4ba3c928e1

Observation 407c1e41-e945-425f-a124-41905b327f29 · inbound

ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction? cites this paper.

ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction? CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-18T18:26:43.821525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T18:24:14.848351Z digest=sha256:67636af3a5ab8ac5a7391d57c3a6ba940ee2455999af2dd1626376e4ae4030e3

Observation 6ace9a4a-e11e-4fff-8475-0efe6558c23d · inbound

I Know Who Clones Your Code: Interpretable Smart Contract Similarity Detection cites this paper.

I Know Who Clones Your Code: Interpretable Smart Contract Similarity Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T18:50:59.373057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:50:59.373057Z digest=sha256:8f4906d36bb19f2290d86d21ac7e6bf5604900e2f8a603f3d5cd57c8b7369984

Observation 486183fa-33b0-4463-8761-3a14370a957c · inbound

Large Language Models for Security Operations Centers: A Comprehensive Survey cites this paper.

Large Language Models for Security Operations Centers: A Comprehensive Survey CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 262

Resolution
unresolved
no resolver link, observed 2026-08-04T17:32:21.578985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:32:21.578985Z digest=sha256:dddf83de7f6b426e6ec9c7d606860ff0d9d24f57f0dc510b98aa01d866987568

Observation 46751c49-96ad-46d7-aa06-be1c10bbba3e · inbound

PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval cites this paper.

PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-21T22:44:24.491777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T22:40:50.221193Z digest=sha256:21ee3362f43d0900cd7b34b6a8ef7e344dd975f7b91fd8ac6ee64a1264327d1e

Observation a4bceed7-2c12-4bfc-8d6a-316b0b84330f · inbound

TusoAI: Agentic Optimization for Scientific Methods cites this paper.

TusoAI: Agentic Optimization for Scientific Methods CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-21T22:34:23.814355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-21T22:34:06.906427Z digest=sha256:4bddaa1e88051b696735149c8aee2decd5aecd5285856dfedb4c488a9fff9ec4

Observation 6aa5b6b5-4655-486d-8f93-c8a3e3e2e857 · inbound

Multi Language Models for On-the-Fly Syntax Highlighting cites this paper.

Multi Language Models for On-the-Fly Syntax Highlighting CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-18T10:36:15.256073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T10:35:53.773668Z digest=sha256:d7f211ab23ac3f9c2e37045fd4dfb4cb0c191e85f9bf7bba3387d091c2f51c7d

Observation 1dd0bd34-c7d2-46a0-93f4-5bda9cb3454e · inbound

Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches cites this paper.

Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 163

Resolution
verified exact
local_arxiv, observed 2026-05-21T21:20:38.696602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T21:19:44.176374Z digest=sha256:3ac1cce1915b57b02cda1f2bfd606080256e8bda9a443d2689194fdf8783b788

Observation d1df10e1-b5c8-4acc-a22d-dba79d03aa60 · inbound

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning cites this paper.

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-25T07:50:29.004249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T07:49:39.057087Z digest=sha256:277e8e969df410b81794e171dd5d2dde79f47730a0602292b322f2efd69ba1db

Observation ecd44cb5-44d1-443c-9b9a-34737ef4a6af · inbound

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning cites this paper.

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T10:00:47.962562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:00:47.962562Z digest=sha256:f9371cb6358a4837512c8a634a66356cb9db06a3abeb1227c33824b768af4c9c

Observation 1e8272b6-ec31-4c89-affd-99e2bde1a316 · inbound

Context-Guided Decompilation: A Step Towards Re-executability cites this paper.

Context-Guided Decompilation: A Step Towards Re-executability CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 19

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verified exact
local_arxiv, observed 2026-05-18T01:35:36.433606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T01:33:54.870931Z digest=sha256:a5dc707370379af01ca97a86fec33a93ee81fdfb31f22233df5fe4ba9b3a9f0d

Observation 7a916897-a9c9-41c7-9c95-e5cb66740e4a · inbound

A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? cites this paper.

A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-17T23:50:31.834454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T23:45:54.490984Z digest=sha256:75fe7b14696f599745fb83465cc071a6ceaa9ff4c5caf76dd23261d63f8995aa

Observation ebc239ce-1353-4840-a7a6-130a4245fb8b · inbound

Don't Use a Cannon to Kill a Fly: Lightweight Model Editing for LLMs to Correct Deprecated API Recommendations cites this paper.

Don't Use a Cannon to Kill a Fly: Lightweight Model Editing for LLMs to Correct Deprecated API Recommendations CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:25.707905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:25.707905Z digest=sha256:a12d89133854a6793c6d4ade97befcae034f8c13f20f49c3af9c59e4488d1fee

Observation 151e4a87-dcc3-471e-9068-d9669fe25c35 · inbound

ODMA: On-Demand Memory Allocation Strategy for LLM Serving on LPDDR-Class Accelerators cites this paper.

ODMA: On-Demand Memory Allocation Strategy for LLM Serving on LPDDR-Class Accelerators CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-16T23:58:42.987082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T23:54:08.052482Z digest=sha256:bbb3d4a4f34136781cd205481852499505fda77b390c55a498986e692e11f6bb

Observation 44ab54b4-aa91-4889-a1ef-5724fa655ea5 · inbound

From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection cites this paper.

From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 15

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unresolved
no resolver link, observed 2026-08-03T17:13:47.174217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:13:47.174217Z digest=sha256:ccecac52f05d160d1668df772638b72493999118a055565df80d45111cf5d421

Observation 277f9a98-bc07-4cb3-9c50-d15628d68edb · inbound

SWaRL: Safeguard Code Watermarking via Reinforcement Learning cites this paper.

SWaRL: Safeguard Code Watermarking via Reinforcement Learning CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 29

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verified exact
local_arxiv, observed 2026-05-16T17:18:09.518108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T17:16:48.934639Z digest=sha256:d86f953623ff986c7e5182e68887c803f5f794c13f8fafb93afaf6ba401ceb05

Observation b705a1c4-f6f5-4a27-acc5-347fe9e31606 · inbound

SEER: Spectral Entropy Encoding of Roles for Context-Aware Attention-Based Design Pattern Detection cites this paper.

SEER: Spectral Entropy Encoding of Roles for Context-Aware Attention-Based Design Pattern Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-05-16T12:57:53.777676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T12:56:36.550753Z digest=sha256:6e94a6710397bf0bde869f8739135fb44641d9b7181fb39c4e8283144ecd9016

Observation f5aee809-ff58-4b41-ac48-6adf281540fe · inbound

When Agents Fail: A Comprehensive Study of Bugs in LLM Agents with Automated Labeling cites this paper.

When Agents Fail: A Comprehensive Study of Bugs in LLM Agents with Automated Labeling CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 17

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verified exact
local_arxiv, observed 2026-05-16T11:57:50.049068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:54:53.273386Z digest=sha256:a2b5f46311727068bccf7f5252623ab93d5f36dbec248c61dafc1a43bb32e39c

Observation 10ab3d5d-5a1b-4836-97f3-c18df7a5b301 · inbound

How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests cites this paper.

How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-16T11:07:48.277499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:05:46.470979Z digest=sha256:40d8b28ac773e1004150424fb90ff54f23be284668d8e83119ed8fe0f6bf7a00

Observation ad859885-a39a-408f-ab9e-21077b014a71 · inbound

Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models cites this paper.

Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 19

Resolution
malformed identifier
local_arxiv, observed 2026-05-16T09:17:40.203124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T09:17:09.823817Z digest=sha256:3c2858d62ae3b874e2ff05a6c3f6857b0fd0fdea3b528f043723b8bb6ea59832

Observation b04ea27e-3a84-4eb3-a57f-607e9dc955ed · inbound

IssueGuard: Real-Time Secret Leak Prevention Tool for GitHub Issue Reports cites this paper.

IssueGuard: Real-Time Secret Leak Prevention Tool for GitHub Issue Reports CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-16T05:52:24.229100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T05:51:24.984358Z digest=sha256:044e3e5a2e818bb2a3fe49f944068956570caee2d3611fefc2ebbd914a311998

Observation 1060b17d-492f-4726-be3b-6fea2866e4f2 · inbound

Social Life of Code: Modeling Evolution through Code Embedding and Opinion Dynamics cites this paper.

Social Life of Code: Modeling Evolution through Code Embedding and Opinion Dynamics CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-15T22:06:43.104919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T22:05:21.477864Z digest=sha256:2b1899036127b7e484fa0724e5674358c7c322d1a62487c0249be83b417f54fb

Observation 3154ae10-88a9-4530-b958-dfeeceee186a · inbound

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems cites this paper.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 12

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unresolved
no resolver link, observed 2026-08-02T21:29:25.371352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:29:25.371352Z digest=sha256:756280a5585ffef9502d3961cf8f82da3a688ba762f21802e34043c531a79a62

Observation 0b0f90fe-3668-4c97-a168-a26d170273c7 · inbound

What Are Adversaries Doing? Automating Tactics, Techniques, and Procedures Extraction: A Systematic Review cites this paper.

What Are Adversaries Doing? Automating Tactics, Techniques, and Procedures Extraction: A Systematic Review CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-13T22:53:23.548113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T22:49:27.212862Z digest=sha256:9784b9d50a7f2c66a8a038161006bcb308346fa26492c93e415fac0791135f91

Observation f8976357-0673-48ed-8958-95b0414f28d0 · inbound

Improving MPI Error Detection and Repair with Large Language Models and Bug References cites this paper.

Improving MPI Error Detection and Repair with Large Language Models and Bug References CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-13T21:33:18.367340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T21:32:28.344156Z digest=sha256:cc6db66efee48bac7fc82d4b728c57e618564b64c1c8bcee9f41b8365d339dab

Observation 52d60186-3a18-4823-85d7-aa762b560821 · inbound

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks cites this paper.

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 34

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verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T20:51:00.073781Z digest=sha256:3ba51c25ba70af9aba481c390c6411df3497205e830970c8923d36ff9b65bfae

Observation 8f40cbd2-9e9c-4d90-a0c8-c299fd9f87f1 · inbound

AgentSZZ: Teaching the LLM Agent to Play Detective with Bug-Inducing Commits cites this paper.

AgentSZZ: Teaching the LLM Agent to Play Detective with Bug-Inducing Commits CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 14

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verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T20:35:06.784505Z digest=sha256:7453d4af7db74e8f75f5c6dd04269ee9c29e2cdeaaf33f7f4cecd95a7bf4cdd9

Observation 62b0529c-b18a-43aa-9e35-ec1b8bdf5e62 · inbound

ContractShield: Bridging Semantic-Structural Gaps via Hierarchical Cross-Modal Fusion for Multi-Label Vulnerability Detection in Obfuscated Smart Contracts cites this paper.

ContractShield: Bridging Semantic-Structural Gaps via Hierarchical Cross-Modal Fusion for Multi-Label Vulnerability Detection in Obfuscated Smart Contracts CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T20:09:20.615692Z digest=sha256:c348fd6106355d261e32d60d1ebb037ad73f44107eef01858c17b335e7acab82

Observation 3c73477a-815f-41e5-8d54-3f802986bb2e · inbound

DiffHLS: Differential Learning for High-Level Synthesis QoR Prediction with GNNs and LLM Code Embeddings cites this paper.

DiffHLS: Differential Learning for High-Level Synthesis QoR Prediction with GNNs and LLM Code Embeddings CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:57:15.908346Z digest=sha256:71ea653f291862c435a6ed4d934fe95239c56fbd65d939f559f78c8122c45d19

Observation 1b355d31-327b-4b06-93b4-983f9481a664 · inbound

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation cites this paper.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T13:00:56.512868Z digest=sha256:867485b23e4429c8baa2682190a0f130d0a0f034300d155b06a5ff160aa340bb

Observation 72a01cba-ed7b-46e2-9a76-06f80bac94c9 · inbound

Prompt-Driven Code Summarization: A Systematic Literature Review cites this paper.

Prompt-Driven Code Summarization: A Systematic Literature Review CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T11:35:12.299549Z digest=sha256:f28a83c51581aca6c99b48054f487396855059532d4ad76de7f43b56f2846873

Observation 1eeb9001-42b6-478e-8988-852e379786a6 · inbound

GoCoMA: Hyperbolic Multimodal Representation Fusion for Large Language Model-Generated Code Attribution cites this paper.

GoCoMA: Hyperbolic Multimodal Representation Fusion for Large Language Model-Generated Code Attribution CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-15T00:39:35.727945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:38:56.136232Z digest=sha256:f214599f7bd3b1c254a70544f61b450790db8cfdc9a01de7b357df69a87c9dd1

Observation 6c61368d-5494-40fb-871e-8d18ea3c20e9 · inbound

SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair cites this paper.

SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T06:39:29.822371Z digest=sha256:01de546d3f347443f75c7d9a106f03c152f38540fac49f973cedc92e8b4e71fa

Observation 14800117-51e1-49d4-bd79-754981cb32a1 · inbound

A Metamorphic Testing Approach to Diagnosing Memorization in LLM-Based Program Repair cites this paper.

A Metamorphic Testing Approach to Diagnosing Memorization in LLM-Based Program Repair CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T21:01:43.474984Z digest=sha256:6c939d75f4fa794f23aa2b27757f5ba84e1c4efe791b417f8ea6bdf65334fdc7

Observation c4356943-1459-474e-b0f5-f6a931ed8762 · inbound

R2Code: A Self-Reflective LLM Framework for Requirements-to-Code Traceability cites this paper.

R2Code: A Self-Reflective LLM Framework for Requirements-to-Code Traceability CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:15:46.096058Z digest=sha256:9963fc041d57ce14eec3e8c4b5163cbc2476e95cdbb0ed3fa210d5a6d09c1789

Observation 363401b1-fda2-4082-852a-6446a2edad8a · inbound

A systematic literature Review for Transformer-based Software Vulnerability detection cites this paper.

A systematic literature Review for Transformer-based Software Vulnerability detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 22

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verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T02:56:36.661786Z digest=sha256:d9d570a15ab06700e516845b3534ceb636bbdd20aecd8aa11683f00b80f46e5e

Observation ac0ad0f4-8761-488f-a023-1e84c5326961 · inbound

PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection cites this paper.

PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T16:05:56.166885Z digest=sha256:3d4839cbb1cb0e06f7f00235e602ac9e299c6aeab10f9c9e6290d44d548306e1

Observation b63bc4d1-2ff9-4799-9948-33070e07bd66 · inbound

VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection cites this paper.

VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:30:01.879002Z digest=sha256:42f032238c5d2de2044447a79849b25498df6c0e1307449932304f5da8af5ab7

Observation 1af5787f-d88f-435c-b5b6-40f6763990c2 · inbound

RepoDoc: A Knowledge Graph-Based Framework to Automatic Documentation Generation and Incremental Updates cites this paper.

RepoDoc: A Knowledge Graph-Based Framework to Automatic Documentation Generation and Incremental Updates CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:33:21.671482Z digest=sha256:4c574799bf6e00ab4860c5b91e6606b259ae19c30452565ca305f080cb181645

Observation d8393c82-6d5c-43cb-a19c-6024271ecfa9 · inbound

Identifying and Characterizing Semantic Clones of Solidity Functions cites this paper.

Identifying and Characterizing Semantic Clones of Solidity Functions CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:18:36.710065Z digest=sha256:bb35e15b2c79e39a5376c994f3344556c68480ebdb615701f3351d5c0c38f384

Observation 1c07c536-aa2b-49d1-9c7e-509984d55616 · inbound

Deep Graph-Language Fusion for Structure-Aware Code Generation cites this paper.

Deep Graph-Language Fusion for Structure-Aware Code Generation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T15:52:59.577511Z digest=sha256:64600c8a7d82fb04b7f1f20caa4e080adf227c294a1eeefc99d05b2644545788

Observation 31414168-1e11-4bda-9e82-bb3ba07e9f11 · inbound

Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning cites this paper.

Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T03:51:13.913362Z digest=sha256:5676810e43e99ba0ee159975d5a59396db0aa3ae682b6bf5e8f83cd95de90218

Observation f8c9b706-d7ab-4c25-a486-2276fc0f0860 · inbound

Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning cites this paper.

Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T18:11:07.274938Z digest=sha256:08c6080c63a9b2a299189bc1373a07015d16a18623482337202b8ff530a6b965

Observation 174bc4ce-0218-44fb-be5b-c2818294ea29 · inbound

MAS-Algorithm: A Workflow for Solving Algorithmic Programming Problems with a Multi-Agent System cites this paper.

MAS-Algorithm: A Workflow for Solving Algorithmic Programming Problems with a Multi-Agent System CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 16

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verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T10:58:35.249244Z digest=sha256:06be842c06150ae7bbd587bd7a00a98aec8c021352c8b056c06253aaa48510dc

Observation 9a7b2688-0b1e-4a06-8ec6-f3e53afd9bda · inbound

MAS-Algorithm: A Workflow for Solving Algorithmic Programming Problems with a Multi-Agent System cites this paper.

MAS-Algorithm: A Workflow for Solving Algorithmic Programming Problems with a Multi-Agent System CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:07:00.368769Z digest=sha256:c555ecf491fb0200b630aff5bec71e6fb4a5e20f03ffc5aef2775860144dfb8a

Observation d317883d-28c9-4252-857c-700ee83f53c6 · inbound

NeuroFlake: A Neuro-Symbolic LLM Framework for Flaky Test Classification cites this paper.

NeuroFlake: A Neuro-Symbolic LLM Framework for Flaky Test Classification CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:04:26.711779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T02:10:26.021153Z digest=sha256:8ff8aa8e4c317d047125c0aae6fbd66daca29deb9c03572108cabd54274d884d

Observation 033df293-05dc-4684-b8df-1579d6c7703e · inbound

XSearch: Explainable Code Search via Concept-to-Code Alignment cites this paper.

XSearch: Explainable Code Search via Concept-to-Code Alignment CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-20T16:33:34.200894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T16:31:27.989614Z digest=sha256:ed58427e35f4eb1260ada90df3079e3680a950c637734fed470c4f3b79d814e1

Observation 4301fc5e-d727-4abf-943f-121d17c201da · inbound

XSearch: Explainable Code Search via Concept-to-Code Alignment cites this paper.

XSearch: Explainable Code Search via Concept-to-Code Alignment CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-04T00:59:19.073138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-04T00:55:50.772103Z digest=sha256:569061221ed3234a5bd740331663eb38cd14f374202fd8d1201ab194eef5e4a8

Observation 1b2b73dc-e2ef-40c1-b990-5f5e56378f59 · inbound

ClaHF: A Human Feedback-inspired Reinforcement Learning Framework for Improving Classification Tasks cites this paper.

ClaHF: A Human Feedback-inspired Reinforcement Learning Framework for Improving Classification Tasks CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 37

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.993587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T15:11:27.420642Z digest=sha256:7e6cfb09ebdebe88c9eb346b08a8918502185a6c6a6873ab2be116a3fd4bf6b5

Observation ab62207d-d5c0-4f0a-8c99-b38167ae3cbe · inbound

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection cites this paper.

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-20T09:18:10.082414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T09:16:56.388348Z digest=sha256:6cee49d8f73fe58fd3d42997ce928e366860b58d903343e604793ae303d07f01

Observation aaf756aa-c4d0-439f-b858-339f110ca55d · inbound

Prompt Optimization for LLM Code Generation via Reinforcement Learning cites this paper.

Prompt Optimization for LLM Code Generation via Reinforcement Learning CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T08:53:10.350456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T08:49:36.986452Z digest=sha256:80eefc69b381ee2845f2e1a8da60a17589edcf29e4af8d31cea341927aabd1d1

Observation 6157ee56-bae6-474f-ad87-2042ab3ca614 · inbound

Towards LLM-Assisted Architecture Recovery for Real-World ROS~2 Systems: An Agent-Based Multi-Level Approach to Hierarchical Structural Architecture Reconstruction cites this paper.

Towards LLM-Assisted Architecture Recovery for Real-World ROS~2 Systems: An Agent-Based Multi-Level Approach to Hierarchical Structural Architecture Reconstruction CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-20T03:33:01.606965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T03:31:23.730248Z digest=sha256:eeaa30599a16340763b3da8fa28f6bc47d1d203bc2b7b1ce8a94baaf32953e63

Observation fcd878a8-7e1e-4a9a-9108-f81952e7ea7e · inbound

PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection cites this paper.

PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-06-30T16:44:56.322877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T16:24:55.986340Z digest=sha256:df45b7c9467a86c514137be01fcd0ed3cb03b1ddf28af8cce0bf09622f13e46e

Observation 50fc3ac9-5cfc-41b9-8c66-8d2017b14a88 · inbound

Confident Learning-based Network for Detecting Bug-Inducing Commits on SZZ with Noisy Labels cites this paper.

Confident Learning-based Network for Detecting Bug-Inducing Commits on SZZ with Noisy Labels CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-06-29T11:43:23.251883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T11:42:04.849077Z digest=sha256:6ec36106e0be3ee198a0c9fc65269acec939f3ea23ebf0e3780212d2361ff0ef

Observation ae0f27fc-6e2f-46bc-a131-c0cb16732c71 · inbound

Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents cites this paper.

Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T06:33:12.192687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T06:28:18.203225Z digest=sha256:cff42baedf531ff640f42e13571960bc0a6b719165ad75814b903d03d3bdcfd9

Observation 53344140-cd91-44f7-abef-da6e9d7abdf6 · inbound

FusionVul: A Multimodal Feature Fusion Framework for Source Code Vulnerability Detection cites this paper.

FusionVul: A Multimodal Feature Fusion Framework for Source Code Vulnerability Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T23:27:27.929155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T18:11:36.848823Z digest=sha256:0190518aa9e2a5f76dc76b968b20670a77cabfee8e65d2872a145eddb574f97d

Observation eade6dea-1464-4af4-a85c-a1657f28e880 · inbound

Towards Diverse Scientific Hypothesis Search with Large Language Models cites this paper.

Towards Diverse Scientific Hypothesis Search with Large Language Models CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 63

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T04:07:36.971244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T14:09:31.837231Z digest=sha256:04e3c58b3252d1ee137592dca0f85b8b5dfcd722d77cf89039b4952db5bb8d11

Observation 92a6dfad-1359-4f8c-8aeb-0a049b3b46c0 · inbound

Early Comparative Evaluation of Transformer Models for Multilingual Software Vulnerability Detection cites this paper.

Early Comparative Evaluation of Transformer Models for Multilingual Software Vulnerability Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-03T06:57:42.942992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T12:22:47.295810Z digest=sha256:ecbd8683ebbe6f8515d2dd3e859571e69290df0bfc10f60aacce50e2a1404871

Observation 366ef2cb-5ea2-4a8d-a6af-b07af1d067cc · inbound

CoRaCommit: A VS Code Extension for Commit Message Generation with Exemplar Retrieval cites this paper.

CoRaCommit: A VS Code Extension for Commit Message Generation with Exemplar Retrieval CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-04T04:29:35.434298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T16:57:05.831579Z digest=sha256:b520b609c58af172eaf539a3fc07751d7bc7b0e158955d662b9dccafc5f53bdd

Observation e74018e7-0c19-4203-95b7-8b6d56f8fa0c · inbound

Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software cites this paper.

Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-04T04:29:35.050731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T16:59:07.712294Z digest=sha256:904fce425ef08766024f38abad172025c9ef5acbf4a6268b7f0c98d87f375e5b

Observation 5a785fd0-e5b8-4cb6-aa7b-0bb82904f43b · inbound

Generate with CodeXHug: A Dataset to Enhance Model Cards with Code Usage Patterns cites this paper.

Generate with CodeXHug: A Dataset to Enhance Model Cards with Code Usage Patterns CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-07-04T11:49:50.731538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T07:37:34.772079Z digest=sha256:f45389f8656852b5a07b54238aae5c427f61128ee93c18381e097b7009362dc7

Observation aa3a9fc0-82b1-44f6-9ab8-a6d79d2ea872 · inbound

Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code cites this paper.

Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-06-29T00:52:55.663051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T00:47:54.236329Z digest=sha256:2e809ccb67adcaedd701377a24b6c8b554a8ccd20c8736e6a83042b4ab8ae3b4

Observation 5e932f37-2910-4982-adb0-82448aa24485 · inbound

Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring cites this paper.

Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-01T17:55:51.067231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T03:01:26.331966Z digest=sha256:40b112723be8775fe05813511f43f0e73f073f31b49a976f807c189cee2c5d2f

Observation 1e5d4044-678a-486c-b199-fdd43a9b50e1 · inbound

Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring cites this paper.

Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-02T21:17:23.604857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T21:16:09.463677Z digest=sha256:d4f5a6a8a9b5bc20ec348ac8ed24d9cce21e39f490958a179637369491a9ecca

Observation a82da28d-2967-4e56-9f81-0f6c32c39955 · inbound

The Decomposition Is the Fingerprint: Per-Component Identity for Agent Skills cites this paper.

The Decomposition Is the Fingerprint: Per-Component Identity for Agent Skills CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-01T10:15:44.199054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T05:44:44.015852Z digest=sha256:96e7f519461d11ae68bae1271922d8fe06e0235038e1c71f3765af38ed049ed4

Observation 7cf5e65f-089a-45f4-9689-bf36f5826b3d · inbound

Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study cites this paper.

Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-07-02T09:16:48.859263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T09:07:01.783340Z digest=sha256:873680be759df21cf4ed4e53e7e128649d8e329940a6a4925363b0cbafee1859

Observation 86f921d4-4d6f-43c5-8b6b-bcf3c467a91f · inbound

Mapping Text to Multiplex Graph: Prompt Compression as L\'evy Walk-Guided Graph Pruning cites this paper.

Mapping Text to Multiplex Graph: Prompt Compression as L\'evy Walk-Guided Graph Pruning CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T01:49:21.545477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-04T01:45:36.335508Z digest=sha256:ddec3d251810f98d41ef546442d15652a451ed5e571405044760f3a62b6b784d

Observation 86b14289-8502-497d-b9e3-65bf333b556d · inbound

LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection cites this paper.

LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-12T03:06:24.801039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:06:24.801039Z digest=sha256:bf412da68180e5eb3255ed014d3dc2dfce63876317e70e8e006aca6584efabd7

Observation 8a9c18f9-81b9-48f4-95d7-afaea96ee452 · inbound

Deployment Risk Assessment Using Diff-Aware Features: A Case Study at Prime Video cites this paper.

Deployment Risk Assessment Using Diff-Aware Features: A Case Study at Prime Video CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T21:47:34.687923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:da4c6f446a840061f65f9ccf55f10b359133ff6d858fe86de17ec6966ebaff85

Observation 1a4e674a-d7a5-4137-9ff2-810c9f94082f · inbound

Deployment Risk Assessment Using Diff-Aware Features: A Case Study at Prime Video cites this paper.

Deployment Risk Assessment Using Diff-Aware Features: A Case Study at Prime Video CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-13T06:49:20.201264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T06:49:20.201264Z digest=sha256:5c100a50e634546b6697d7a08f9ccace945236977b8fc434becda264604e01eb

Observation 9d82438a-f790-4582-838d-e720884bd16d · inbound

From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs cites this paper.

From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T13:57:06.613853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-10T13:49:17.343893Z digest=sha256:d489738b82c24630dc32381a98aa3fb4d2c35e907467553f963523003d79d872

Observation 203bc949-cef5-41d6-b1e0-4d0347ad96a9 · inbound

Balancing Usefulness and Naturalness: An LLM-based Curation Pipeline for Code Review Comments cites this paper.

Balancing Usefulness and Naturalness: An LLM-based Curation Pipeline for Code Review Comments CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-13T02:24:25.366633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T02:24:25.366633Z digest=sha256:e4554635f9895e3b49a354c88fe771d1b79cb2f7cbc2c325d5158bd1365871c5

Observation 8d47e915-20e5-4908-b394-3b6bb7849fd8 · inbound

Why Not Fix It Once and for All? An Empirical Study of Multiple Patches for Vulnerability Fixes in Open-Source Software cites this paper.

Why Not Fix It Once and for All? An Empirical Study of Multiple Patches for Vulnerability Fixes in Open-Source Software CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T05:56:29.127758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:56:29.127758Z digest=sha256:28ff038465341e687a9be3db0392a033fc260b33712692ed647c0201c03e2ad0

Observation cad7d101-3214-472b-bc0f-fcaf4f2604fc · inbound

MRCoder: An Efficient Context Selecting Approach for Repository-Level Code Generation cites this paper.

MRCoder: An Efficient Context Selecting Approach for Repository-Level Code Generation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-30T20:34:28.895352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T20:34:28.895352Z digest=sha256:a6c583b0b60938be13436f7aa98d56053034ead6323e460e2df144bc6e1d74aa

Observation a01f1f89-71cb-4fb7-b834-c85c2a3de6c4 · inbound

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization cites this paper.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T04:26:45.567111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:26:45.567111Z digest=sha256:e20ba6d5cee313d7e8314a7527205218850e85c3c2ed545433f0f751f6765ee0

Observation 88c66a22-edc6-43a0-bc6b-03b6fe140cd2 · inbound

Vul4Py: Benchmarking Automated Vulnerability Repair in Python with Paired Exploit and Functional Oracles cites this paper.

Vul4Py: Benchmarking Automated Vulnerability Repair in Python with Paired Exploit and Functional Oracles CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T00:36:36.420933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:36:36.420933Z digest=sha256:8adbf17cfd748ef9a8c97db8e5682b116094fc9e8aced0c400c49b3e856468e2