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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=sha256:59026d23a7e7f17a205f7ade7668ddda508cfa4a7d0a1c9f76e4a123fb09a852

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

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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=sha256:139566627985f91b51280182337a3fee435f79639fe1ccb3d5aaa36b1dd23764

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

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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=sha256:0761a869ec3b4223479194d09906bb3d4a8be4cc455e57372e96c940876540df

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

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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=sha256:5e5e0444ee86057fda11bf20bed5124ff4212f57b12172003eb1a8626c68b2e2

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:a0ce570c62ce2dc9da8858abe640a367feba85d27be3477160b717dfa3fe6558

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:e0a0a2d43a043577030783e12f0138a2a8a4fa16c583e2ad50f6026322ff224f

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:b133dc6186e5d54fc88a01ac74207eb58691a7ac9fa61e02c33273e5b0d42199

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

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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:e35eab129d547102b46853430665527c10858a7cd3d1897b99e3a59b16bc0f69

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:d2854a2bdad1299d35f0a55d5968177a0c68462ebd9a02e84ac1fb532f2273af

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:c8989bc68ea925005d0301b1efdd059dc95d0f84e1d6f07f91557d0b21a738c7

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:ebcb58ff2655b84ba6b34719a4307e60467d69ef97af79f18a631fb065099520

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=sha256:7cd18c9cb674ad8ab449d1943fd7716a3d6c30b4ad332737b0190e85ea3d2c83

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=sha256:65f15b7cee16974045005d0d13486a9a14a97ed1e0b2a72cec19378339a2fded

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

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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:e29d91373f12f14f8a0fe9a21a07137c1bba396baef6eac08cf6f23cb1b05dba

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=sha256:72dacae911d85df55f9f11567e5c509c270dc4500424385d6171b1aa33052c29

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=sha256:1f94f712aff73d043027592b5bf3e1c48ce8ad3f47bd0c86fdc2faba090d2e0c

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=sha256:857e6cf6ccebe002f81af01b03e179c26315ec51670b98f3472ff3420703af8a

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=sha256:71bf7572d3a3808d9a01f71262f79a1c052c25d5adee040a13774026f6cc679b

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:a09ac6aaf351f3d631e0119e14d6005404da9fafb4fdf64c4142b3d727bad5b6

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=sha256:7a35f57898c882c9061da25309922d5a66fe849fe0e528e533cfc3693a595efa

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=sha256:28f655fba36000e0d91b29630abbb1578cd08d23a608d8ed2908247a86237751

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:f831e1a1aa0c63effc616f4deecfa3b569add4a1053d788f7c98565daf314545

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:b2d2074b542e69a39dba494ea133314ff6505a0f8e8e2204f933c3fbe8900f33

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=sha256:751dbea10e249bf5111b5084f2eef98de152d8b52ecb2d5c61a13662dc663d38

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=sha256:15cf12b3de84fdc8d6b78a9028de5750b1f944222154e7277f8897733c089c53

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:f827d7f115f43dda7f0e72a0b96ee1693a0ceb2d3e8254d1fe0a126b5e5533fb

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=sha256:20509364b5313b07e5d49c07503970ce1a6e3fad1c8d21523cde573e160b5969

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=sha256:71eab9ac859c1d84702b0fbc6a52d39879949ea457f4af4a601ed890f631fecf

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=sha256:127e253b1abaee827204854add99bbe2b6c5c64ee7715736954c206293db178f

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=sha256:72d2d2e3015227bb734fb3bebd13d758062fcd53f4d648fffd4f69b1d306d788

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=sha256:404a94c9cfd850ab62f41bc9fce93e9281acda138c05716062f7325b8ea43729

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=sha256:53bc4d3eab6675a1bb4a59dbbc8989c1e4a0057b2e24aa8284e9dc4f1c9520a3

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=sha256:7c47e35500d244313603f890a19d8ef3b25aae707e4a2f2d2945c3098349fcf3

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:b9c825fbd42a4a70195daaf4d4a4584153ce6cb5d5e666ff8b555940140fe07e

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:b01e7c495ca3c105b5f8205ee344a1a5c26f163ffa2f3276000f63cf902cdc05

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=sha256:89b8a4f020f0472f7ced3a34015a4351e15385d2dda09a1586b3cf9ee4f2b053

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:e7ab20ee44499d4faf1213b36c3a3b3ca2378c6c6383b36b68557837895af8e6

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=sha256:56b24a810f4432757c797cc1ebf89e2cb1f997c92f963aad29ddabf46e57107f

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=sha256:41e92e68f5cb957137ca18c3c8e0bd05279ba9ee90f76aa93a7ca92cebc89701

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:dae60701496ee028e4cd6d8cae9609b85624d99a33b243ab2fc477a06c6d93ad

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:c9cfd91a7cdd01bb14a69acaa272e07f6e8a48bfe2ae615987283653e5dc8a08

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=sha256:406a8f38da928ad962f34db9faa2b350d77835d3b42b6c73bd573e45699e8400

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:bc46f239e51634cc402a70e2d57bbfb28719afb5b71100cbb64398d99660ce70

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:c0c4e86c411cc02f388fdc034618274c2066e97f1e88c0c65eb1a37c2240802b

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:d15f38506acde38c140b398e697f3fb0e0b4c2efa88c05caf603e18dfef4abf2

Pith citing papers

No inbound Pith citation observations are available.