Pith. sign in

Paper Citation Record · LEDGER

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text

As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2412.11477.

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

pith.paper-citation-record.v1
2412.11477 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:58:06.801985Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact2
  • verified fuzzy11
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cbd12cb1-9300-4032-baf9-4924576bd8fd · outbound

This paper cites Publicly available clinical BERT embeddings.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Publicly available clinical BERT embeddings

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.591582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.591582Z digest=sha256:f4cf62b0f84dc61615f309f478e986f38eb43556711786d1dcd1909fda819942

Observation ff16a2da-51de-4641-8025-179b1f721dad · outbound

This paper cites S ci BERT : A pretrained language model for scientific text.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text S ci BERT : A pretrained language model for scientific text

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.596889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.596889Z digest=sha256:ae88e926393293171640b70bee3df12428459a930054b0a8996fcea0f0f23222

Observation f3ef3c80-7fe6-4e51-8e01-53302c9a1d38 · outbound

This paper cites Longformer: The Long-Document Transformer.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Longformer: The Long-Document Transformer

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.601709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.601709Z digest=sha256:a521680f3c3e59f221d60f595f6668729561c0339630ebe11d28a0e00722a8d3

Observation c0157435-2a97-4d09-b89a-5cd72e50b3c0 · outbound

This paper cites H yper C ore: Hyperbolic and co-graph representation for automatic ICD coding.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text H yper C ore: Hyperbolic and co-graph representation for automatic ICD coding

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.607386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.607386Z digest=sha256:eb750b09a28da18eb7befb28e1096fd5858a81f0eb890a9f7f2a548f7638d1a7

Observation bd97b30c-4978-4fa2-a6b9-85b7ab274f13 · outbound

This paper cites an unresolved cited work.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:58:07.657537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.612901Z digest=sha256:c84901ae82b7a158eebba2e917a185030a7d938d847d208b9ef1dfccbc5d3aa4

Observation 6a9dec9d-953f-474a-a129-d60b5d7865f4 · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.618562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.618562Z digest=sha256:db6472047ace04773fc5da5fb445381e6993af7c42659f5a87a0f9c8257dcf5d

Observation 6dce65c5-8fc8-4e93-aa10-cab7b9a83b27 · outbound

This paper cites PLM - ICD : Automatic ICD coding with pretrained language models.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text PLM - ICD : Automatic ICD coding with pretrained language models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.623842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.623842Z digest=sha256:bcaa0fa463a0e189408cbb70d706d32f09e76a2441b8ad252a9c62eaa6b34b0e

Observation 50e19c24-d3da-45a2-b7bb-1da698589b20 · outbound

This paper cites Lungren, and Serena Yeung.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Lungren, and Serena Yeung

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.628275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.628275Z digest=sha256:4e9cb33f47ec3401687fe82447c8beb33790d4e65f508897eb06e344519f1d52

Observation ccf90b14-1284-4177-8099-674122bb127a · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.632828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.632828Z digest=sha256:eac56f02e4369b313e703e70158a4cc748394a879d7ef270fdfcb860710fac6c

Observation dd05cf49-0295-4574-9e32-ef016fd94ec4 · outbound

This paper cites Dilated convolutional attention network for medical code assignment from clinical text.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Dilated convolutional attention network for medical code assignment from clinical text

Reference 10

Resolution
verified exact
doi, observed 2026-08-11T14:58:07.049080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.637827Z digest=sha256:1c59c7eb50953fa2083c528655cbc5c3fe57f64e1f7cf4a008c27088a4637341

Observation 6e784e02-5488-458b-b048-ae3dd9d56f4f · outbound

This paper cites Le, Yun - Hsuan Sung, Zhen Li, and Tom Duerig.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Le, Yun - Hsuan Sung, Zhen Li, and Tom Duerig

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:07.643361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.642545Z digest=sha256:698e911b93f0a7c4beb6cc2f26533d0cfbda97ac5643cbbc619c8074e4d3551a

Observation cf974e20-fc86-4e85-8d5f-544f4fb21594 · outbound

This paper cites Johnson, Tom J.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Johnson, Tom J

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.647427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.647427Z digest=sha256:7f453a1884e9096ea8903a53545ec279bab1baac5348287c1e3cfcd9376c6957

Observation 0546e889-fa3b-49e5-a07d-9c44a9e3997e · outbound

This paper cites Multi-task learning using uncertainty to weigh losses for scene geometry and semantics.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.652044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.652044Z digest=sha256:26f802db999ad872b28f539ede846b027768d7407490ff25cb289ae4b60a459e

Observation 505d9d4f-e5bc-4dec-8f7e-d439e134caec · outbound

This paper cites Adam: A Method for Stochastic Optimization.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Adam: A Method for Stochastic Optimization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.656749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.656749Z digest=sha256:518677c0f8b1778af00e03702c0738dd2814372f5f17661ef5a3feb1bff123aa

Observation 3af1ebe3-4034-4e48-8a81-cbf2c1a84763 · outbound

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

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.662299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.662299Z digest=sha256:688c8062f5388e9859db586c4b3fd9e818380a363d9581454f0976b06fb1408a

Observation b88aa0eb-3498-4f0a-8193-a69f4b64c46a · outbound

This paper cites Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.666988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.666988Z digest=sha256:65686ccf050982f9c2eeb72c5e3fde05ae26b27bddd84cfdeefc84e0dffa7c2f

Observation c4af3b0c-1fc5-4527-9776-442c1275962f · outbound

This paper cites ICD coding from clinical text using multi-filter residual convolutional neural network.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text ICD coding from clinical text using multi-filter residual convolutional neural network

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:07.628399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.671402Z digest=sha256:8fa4da06c40c4dfb85a7f639e78c8ffe1181ef341adb975b5d2c570015ffe98d

Observation f8c40e94-4983-4254-ac38-4f636844158f · outbound

This paper cites BEHRT: Transformer for Electronic Health Records.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text BEHRT: Transformer for Electronic Health Records

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.676049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.676049Z digest=sha256:f7d02ab426a8ea48d8c1c6d7cba79735c84b0f76e570283da106b0acaf25e971

Observation 035fb776-a893-42ad-a394-c3198c9f2d2d · outbound

This paper cites Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.680702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.680702Z digest=sha256:4f8622b8764507bf1ccfb43e793f5c1a4fe28885c7ca9c46a8c1e75c5c565437

Observation 8cc24e0a-497a-4fce-9d14-44eeca6231bc · outbound

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

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.686127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.686127Z digest=sha256:e5b799d1910184114979d2e9b0fc0f29f62ad6e79881cfeb222b7a9f5228453d

Observation 59e5fee5-113c-4b5c-83c9-35a427b082b1 · outbound

This paper cites T ree MAN : Tree-enhanced multimodal attention network for ICD coding.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text T ree MAN : Tree-enhanced multimodal attention network for ICD coding

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:07.613887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.691779Z digest=sha256:2bafcfabe4be2ea1b961dc9b410b815c550eaf66ed65a01c1443221dbd5ba91b

Observation 6a3e935b-24d8-40b9-8f69-68c5fcfe94cc · outbound

This paper cites Decoupled weight decay regularization.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Decoupled weight decay regularization

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:07.599203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.696379Z digest=sha256:14e503f85df5d1a9bf9e2695fe65655da1f77a109f076b9fb53163dd9de4d700

Observation 72ef0628-27ae-460f-a710-7341c07aa731 · outbound

This paper cites ICDB ig B ird: A contextual embedding model for ICD code classification.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text ICDB ig B ird: A contextual embedding model for ICD code classification

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.700866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.700866Z digest=sha256:19cd6d82641a5a67f96f7a5beeda187e07fe40bfce9f962ce63cd6110a70e3ea

Observation 0e7be83c-b202-4e2a-ba73-b295b5c118f2 · outbound

This paper cites Explainable prediction of medical codes from clinical text.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Explainable prediction of medical codes from clinical text

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.705315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.705315Z digest=sha256:aa7c4eefc29626f68a23d9f53c4a02f848f1c4b8a766d6bb201d2bc8e9806de6

Observation fe785784-137c-41b1-9c58-c89dd32314ec · outbound

This paper cites Joint Learning of Localized Representations from Medical Images and Reports.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Joint Learning of Localized Representations from Medical Images and Reports

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:58:06.947833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.709890Z digest=sha256:de6ca5df7c79cd684cbad0984c93d968c20d3c7bbe3a1e100132965be72cdd57

Observation f81faaf7-b864-41b1-ab53-3ef378fde543 · outbound

This paper cites Text and Code Embeddings by Contrastive Pre-Training.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Text and Code Embeddings by Contrastive Pre-Training

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.714878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.714878Z digest=sha256:515bbb2347021f4dfccd1d7462fb64b1b56477aaab7ec48ffdbabaad7d30da0a

Observation d2fd92b4-67f7-4240-a688-928d1d8af422 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Representation Learning with Contrastive Predictive Coding

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.719591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.719591Z digest=sha256:7cd651f757675ec77fb1b33f5544ea0644bc1a342b3181dea0939fb966d0e945

Observation a35d4e8e-90de-4614-9a5a-0dbbff133a8d · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Pytorch: An imperative style, high-performance deep learning library

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.724460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.724460Z digest=sha256:ad083cabcb130e2d5ea0a2544f7f474e0f92aac725be299fdc6fa9bbaf8967a0

Observation 9abfbe20-ac76-4418-9fb0-719d5fbecbfb · outbound

This paper cites Learning transferable visual models from natural language supervision.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Learning transferable visual models from natural language supervision

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:07.575453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.728859Z digest=sha256:6dc209030762b555b98806c40f8bb5b744b1a8a6a5474e8058b21d557e125370

Observation 5d61312e-ca3f-4ccf-811a-20013621d1b9 · outbound

This paper cites Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.733264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.733264Z digest=sha256:81c868e0c09f7dc33a70ae8948ddcc38751ba2f7ec1e119375c933c1e51cd5cb

Observation dbf1de6f-38de-44a5-b224-91e43b76943d · outbound

This paper cites Pre-training of graph augmented transformers for medication recommendation.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Pre-training of graph augmented transformers for medication recommendation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.737916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.737916Z digest=sha256:5e48b206245e268317e30e8bd978c9a15dfb6a23e850196ee8f7fed2dc24e084

Observation 2f58cecd-7c19-4fec-83a2-b1438598fa7c · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.742261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.742261Z digest=sha256:464c392d3987b73ae53680848f9b8e97e5453d74e3fab8f7aacc90305c049723

Observation 3381c01c-1df0-4de1-8269-52e4cbe31c44 · outbound

This paper cites A label attention model for ICD coding from clinical text.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text A label attention model for ICD coding from clinical text

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.746683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.746683Z digest=sha256:f20dd81419b7787c51168375a6334c7a7d2e633ee6f26d60c8c4c9502d3171aa

Observation 8fe94401-638c-4224-b853-57d699022ee6 · outbound

This paper cites Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.751014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.751014Z digest=sha256:235d0988a79a5ad1a4a6992e1d52fe0bdc47245befbd78d3647fdbb48a098a22

Observation 4d088c41-f051-43cb-babe-2a2a5b06800b · outbound

This paper cites M ed CLIP : Contrastive learning from unpaired medical images and text.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text M ed CLIP : Contrastive learning from unpaired medical images and text

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:07.550382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.755736Z digest=sha256:830ab87fcf799d1fbfcd7cb64ab979a80024b77d8605a2ba8e43be743e0ff097

Observation 4961b2a0-bc08-418f-ba2c-55bd3db7b8a0 · outbound

This paper cites Should you mask 15 \ In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2985--3000, Dubrovnik, Croatia, 2023.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Should you mask 15 \ In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2985--3000, Dubrovnik, Croatia, 2023

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:07.533783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.760394Z digest=sha256:d1a37b5c3800e32f00802980c431dae7bf843d86907b58deed90714d152cf624

Observation 4436e679-0760-481c-b3d3-bede81ad1a2c · outbound

This paper cites Transformers: State-of-the-art natural language processing.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Transformers: State-of-the-art natural language processing

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.764801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.764801Z digest=sha256:c05ef01aa4ab01b4ef4e98cce623f9740ab59ffac809d34719a1e70e66bbcba2

Observation 863445a2-ab0e-4686-9221-a1b10fd7c2a1 · outbound

This paper cites Yu, and Yangyong Zhu.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Yu, and Yangyong Zhu

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.769375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.769375Z digest=sha256:9244242a180ce2ab71d9710cb3f5142a84e90b22a71a32e135be3a0b9b7baffb

Observation 99a6a5da-1bf7-4547-9689-0ce04b2ba61e · outbound

This paper cites Knowledge injected prompt based fine-tuning for multi-label few-shot ICD coding.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Knowledge injected prompt based fine-tuning for multi-label few-shot ICD coding

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:07.518253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.773884Z digest=sha256:de330df8a074691716903c1f7b83df9e1377b77d06d210890e84fd5685892f07

Observation 1c49e045-6280-492b-b498-9c7d59fb0317 · outbound

This paper cites Code synonyms do matter: Multiple synonyms matching network for automatic ICD coding.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Code synonyms do matter: Multiple synonyms matching network for automatic ICD coding

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.778514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.778514Z digest=sha256:31e9356531a914205807f1421aeac0093704bc508f6311ec805aa045ce56aa3b

Observation 71ecaa05-9c66-4c9a-bae9-0628d1ddae0c · outbound

This paper cites Big bird: Transformers for longer sequences.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Big bird: Transformers for longer sequences

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:07.503442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.783128Z digest=sha256:9b279b32be3243e4468a0db6a8d46623cca48afd503c4e727b984a6a732608f8

Observation e080dde7-51b6-4055-bac4-472c396128e5 · outbound

This paper cites SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.787728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.787728Z digest=sha256:9836221c5125122e478bf4ab591f1305fa7ecd0947bc3408088fc0a8387ff9e7

Observation 775b9697-a4f1-4ab8-ac45-dc60c1ff4911 · outbound

This paper cites Automatic ICD coding exploiting discourse structure and reconciled code embeddings.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Automatic ICD coding exploiting discourse structure and reconciled code embeddings

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:07.488687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.792407Z digest=sha256:c318da0239ac31b1cfb1fe277a8fea9622741d9f3b38d8202ae1c57540ee57ca

Observation 0c81b3db-77f5-48c9-bee0-539bfae8a85d · outbound

This paper cites Contrastive Learning of Medical Visual Representations from Paired Images and Text.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Contrastive Learning of Medical Visual Representations from Paired Images and Text

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:07.472486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:58:06.797650Z digest=sha256:ce087e88f90360473ee8e6e2622f6e96093904ec5e0e6cef887ab6f46a7a83ae

Observation 725a95e3-b882-483c-9b40-a15104f5e89f · outbound

This paper cites Automatic ICD coding via interactive shared representation networks with self-distillation mechanism.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Automatic ICD coding via interactive shared representation networks with self-distillation mechanism

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.801985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.801985Z digest=sha256:e3e763ffc81d70429104170d4ad8af0755d4aad0cfc58a5793e6de8b1fb26fe4

Pith citing papers

No inbound Pith citation observations are available.