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Paper Citation Record · LEDGER

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning

As of 15 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2606.19481.

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

pith.paper-citation-record.v1
2606.19481 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T21:19:38.293019Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

71 of 71 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved67
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d2c44ec-85eb-44af-bfe9-8cdce750ba47 · outbound

This paper cites Nature Medicine , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Nature Medicine , year =

Reference 1

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:f079bf9bac86ad496f9c6e01ead002d450fdedb949d1741ab493c13aae25da89

Observation ab645ed3-ecb6-4662-ba4b-1217ddcec2f0 · outbound

This paper cites 2022 , journal =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning 2022 , journal =

Reference 2

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:d62009980c800f46e7447cf5c8a24a7acd93a623fbaf22d5d24c45041ee939b6

Observation 61cf2156-ee3e-4309-8db3-06c2814dc4e9 · outbound

This paper cites Discretizing Logged Interaction Data Biases Learning for Decision-Making.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Discretizing Logged Interaction Data Biases Learning for Decision-Making

Reference 3

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:94c17763dc2e225afa8e1f82eded0dd8b3a4a371369b14f78240c3044c3ec46f

Observation f11494e3-ef8b-427a-a252-d9f0fce9ec46 · outbound

This paper cites Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?

Reference 4

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:f65989b3656809eae2f476af201cd903117e7bbd3410c0e55815eac6b71350d6

Observation d45bbb92-3c4e-434c-affa-f6490fe6af6a · outbound

This paper cites Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare?.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare?

Reference 5

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:27de61f316fd99c991041c786f296243b3a7474071f669de66bd797acdf5fd2f

Observation 5707a941-f98e-4b97-bb4f-3da8e170d819 · outbound

This paper cites npj Digital Medicine , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning npj Digital Medicine , year =

Reference 6

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:7e2965821c187c7d9ba0b28f2998d201557af77b2e10676d65287beebc29a147

Observation 247b8c53-b2f2-4b0d-b114-ed88d3946fe1 · outbound

This paper cites RLC 2025 Workshop on Practical Insights into Reinforcement Learning for Real Systems , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning RLC 2025 Workshop on Practical Insights into Reinforcement Learning for Real Systems , year =

Reference 7

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:9ac4ae6d2004c286a0133bcced4dc527b62feba6cb3c9a1f871788085e5df880

Observation 745360e8-11ae-4d22-a4e4-f5f16421505a · outbound

This paper cites Making deep.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Making deep

Reference 8

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:8b80cc13f46254fb08bfeb6f7dee5d9a947f78e3bb25063d3ee11ce7579f7c8f

Observation 487577ef-fb6e-4261-abe6-7cdd0831f897 · outbound

This paper cites and Hajaj, Nissan and Hardt, Michaela and Liu, Peter J.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Hajaj, Nissan and Hardt, Michaela and Liu, Peter J

Reference 9

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:77552cd9d2b42564a8cafdc3e30bdb99cbcc59d95ea8e956f7c5977f1540fd69

Observation 0834d99a-9590-44f1-9b7e-961f67b75d15 · outbound

This paper cites Proceedings of the 2014 conference on empirical methods in natural language processing (.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Proceedings of the 2014 conference on empirical methods in natural language processing (

Reference 10

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:25c34ea31d7cacbd4a30664a57947011c30fb4d8050872e8ed6e55bdae978a39

Observation 52ea60db-c565-4988-87a4-bbe93050f0cb · outbound

This paper cites 2020 , month = dec, volume =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning 2020 , month = dec, volume =

Reference 11

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:e562b231ad28b4bcf38994d856d655f35f1f840f87efe92dd10f5df6c8804b41

Observation 07369e84-d7cd-45e9-a741-b038130b5057 · outbound

This paper cites Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment , booktitle =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment , booktitle =

Reference 12

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:621f6e25446fd0a28456f13d235cf56e89428c80a77494b5f26486026f0c3a38

Observation 7da11816-b999-4752-8e33-9b0f2a6bb804 · outbound

This paper cites Proceedings of the 1st Machine Learning in Health Care , series =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Proceedings of the 1st Machine Learning in Health Care , series =

Reference 13

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:1aaf72357323756b2e0200685d1604deb1a3fd849a45195f7599a3ae03748b9a

Observation 413f6db2-df7c-4934-92fd-0ed691fd77e6 · outbound

This paper cites and Hong, Zhang-Wei and Sabounchi, Moein and Sawant, Ashwin S.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Hong, Zhang-Wei and Sabounchi, Moein and Sawant, Ashwin S

Reference 14

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:beb6f2b920c8ad8152a25ef8cf829a13c78004bfb42c55119974a513142fa799

Observation 96faacc4-217d-48c3-ada7-81307af2bf02 · outbound

This paper cites Proceedings of the 33rd.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Proceedings of the 33rd

Reference 15

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:194edc4a20e11f8483cb1bd65b4f0490e349f3ebea937b5afab850bf5e76e05f

Observation b783ee4a-43eb-4ef3-92f3-ca14c2722311 · outbound

This paper cites Proceedings of the 36th.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Proceedings of the 36th

Reference 16

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:70fd0d298877d77a51f8d59be9d0703a7eedf514e50a4661ce844ac155d5a006

Observation 72cd83ec-71d0-4441-bfab-df434cfdd459 · outbound

This paper cites The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms , journal =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms , journal =

Reference 17

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:c38c730e5240996096b9979fdd90008d5980ae20ddec8d9315e2bbe9d3425fcc

Observation 287c9dbe-09d3-4d27-a29c-2c671e28c290 · outbound

This paper cites and Bellomo, Rinaldo and Cousins, Caroline E.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Bellomo, Rinaldo and Cousins, Caroline E

Reference 18

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:12fe170fb34f9e2dd49eb7d9a60594e39564aadc74017bca4a944ee50bd31940

Observation a0e5701d-1327-4d4e-930d-8677a22ba8bb · outbound

This paper cites and Ketcham, Scott W.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Ketcham, Scott W

Reference 19

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:0b94993e2e57f2b27345ec0d4f6c7d7bd6cce6d9c4aae7a7fcfeb8e0a348077f

Observation 273ea159-fc1f-4de0-a031-139918a9a5cb · outbound

This paper cites an unresolved cited work.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:9cc515563e35bb8e087c591672bf3d92f60ecb32d8d181b87f15df1f9b5326a8

Observation 4e2b5a5e-9c8a-45bd-bace-08937c3e85f3 · outbound

This paper cites Data-driven curation process for describing the blood glucose management in the intensive care unit , journal =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Data-driven curation process for describing the blood glucose management in the intensive care unit , journal =

Reference 21

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:0d96d1d85d9995cb1145e66b70e545c94cb9e0c9836ca4a2095b1f67b0fc7ab2

Observation 3921dde7-0966-4d1d-93e3-577c60cb3f28 · outbound

This paper cites 2022 , month = apr, doi =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning 2022 , month = apr, doi =

Reference 22

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:8c5bcaad31ef23ffd6cc27e72399c5306ae9ddbc14f1122aa988f4e2a07a31a2

Observation 3e530ba5-6d93-44a7-9d3f-2471bfdac1bc · outbound

This paper cites 2023 , month = oct, volume =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning 2023 , month = oct, volume =

Reference 23

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:e8d03b6e3262d03efd6168b4fa4608d25fd366a93e1b475aff2c4a07b99b5f6d

Observation d4f85836-38cf-4b50-ae17-6e758a339447 · outbound

This paper cites 2009 , month = mar, volume =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning 2009 , month = mar, volume =

Reference 24

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:9fd9c0454b1c0f476d2d1c163ad034dadda900b9bcb4c04afdadf9948ef382e2

Observation 52887cba-7a7e-4d22-a736-420cfe4008e5 · outbound

This paper cites Tight blood-glucose control without early parenteral nutrition in the ICU , journal =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Tight blood-glucose control without early parenteral nutrition in the ICU , journal =

Reference 25

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:3c20d8180ca1d6e652bb4a03f62cc1fb29b8b07bef2bf4ce0eab612684dbfc43

Observation f29d4b5f-8e83-4787-985c-e25839ae4c5d · outbound

This paper cites Scientific Reports , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Scientific Reports , year =

Reference 26

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:e001806faf0c3428a0ba201fad17c4e213398f9f83b093783c9baeeab2b43f0b

Observation a8015120-669f-4880-abea-30d659f86e5f · outbound

This paper cites 2020 , month = dec, volume =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning 2020 , month = dec, volume =

Reference 27

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:bec330315a02472504f314819af60a0b07cc2adbebb917b3b33734c2aba0d36e

Observation 83930bc6-a61f-43f8-a054-01efc889e031 · outbound

This paper cites 2021 , month = may, doi =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning 2021 , month = may, doi =

Reference 28

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:1a6a56731432ea8d18c1a284a6fc2c6de442e3828e90d04f16b426b6030628dd

Observation d31408b3-c264-48d3-821f-4cf59165be87 · outbound

This paper cites , title =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning , title =

Reference 29

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:7e3bf970a7f7a69a3a1e7ee953b87279afb1657fd0a45ca55430f2e70c054526

Observation 722b6ce2-5512-4f23-9f94-971c87154cd6 · outbound

This paper cites Neural Computation , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Neural Computation , year =

Reference 30

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:d10f98cbf14688502e51ebc8c0eabda85005a17bf9daf95d4d3829e87d3e6a9f

Observation 5af46e65-f790-427d-bdc2-0df3a84abfc3 · outbound

This paper cites and Bossi, Luca and Dalla Man, Chiara and De Nicolao, Giuseppe and Kovatchev, Boris and Cobelli, Claudio , title =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Bossi, Luca and Dalla Man, Chiara and De Nicolao, Giuseppe and Kovatchev, Boris and Cobelli, Claudio , title =

Reference 31

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:000e0fce7c65046f66d46e1c1f7978da8613dadeec4d1dc771f3d9ae6fa7a75b

Observation be39195a-c376-4f9d-83db-13156510ae4e · outbound

This paper cites Indiana University Mathematics Journal , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Indiana University Mathematics Journal , year =

Reference 32

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:9a3d31b9b981e5d95148c31381bc29551b422dc646e8a11cd880453ce420eb30

Observation e0febf65-a1e3-4197-90fb-f3555feaa3ba · outbound

This paper cites Medical event data standard (.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Medical event data standard (

Reference 33

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:0ad38d2ca1ac8012a3607d0c9d254814cccdf68af3ec57b33adf042f7386f494

Observation 00cac00d-f5fa-4a60-930f-c5b3e5574082 · outbound

This paper cites and Pollard, Tom J.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Pollard, Tom J

Reference 34

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:82518cd4cdabfeb5f9803f1460594f451907cf7afe22644ad479b6342377cca2

Observation f3d4ce51-5bcc-49aa-b294-2f2de1b477f3 · outbound

This paper cites Machine learning for healthcare conference , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Machine learning for healthcare conference , year =

Reference 35

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:b49fa77d45c935b9675f8234b6c0cdb9b6bae0bb5a61e4df0042523958061b22

Observation 34fa1873-0f64-41bf-9bf2-eab1176f33ab · outbound

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Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Unresolved cited work

Reference 36

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:5f9c00dd7fc2eddeb5137b36be506f02e0bab550d10cf653b68bf4dd39ece135

Observation df8e02dd-ae79-4056-bca0-affbc9ba5fe6 · outbound

This paper cites MIMIC-IV.PhysioNet, October 2024.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning MIMIC-IV.PhysioNet, October 2024

Reference 37

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metadata mismatch
doi, observed 2026-06-26T21:20:02.327708Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:69d33fe64f93df52671b41b6f9ad25c335be11bf724499cc04123b7f47020cf2

Observation 976670ca-f4f6-4a88-8011-b7ec29609815 · outbound

This paper cites 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) , year =

Reference 38

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:49466c3a7630c80bc5c5df15cbdfeeeca29fc1097882e0fed00520ab261ac479

Observation 82728d90-a21b-4b49-898d-6c8fe80d0079 · outbound

This paper cites Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks , year =

Reference 39

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:2950aeaabdaf2c458a83395b388d529421f4cdc99b5a1e51781854fc45eb547c

Observation 7900f5ba-3c5d-47ad-b02e-93aa2296f57e · outbound

This paper cites Proceedings of the 6th Machine Learning for Healthcare Conference , series =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Proceedings of the 6th Machine Learning for Healthcare Conference , series =

Reference 40

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:689b2e7b3d35fb152edbc04a91248185185e6c14caf9300d174157598f430794

Observation 1fd0b85e-7250-4528-aa52-d276d21208af · outbound

This paper cites and Komorowski, Matthieu and Komorowski, Matthieu and Faisal, Aldo and Celi, Leo Anthony and Sontag, David and Doshi-Velez, Finale , title =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Komorowski, Matthieu and Komorowski, Matthieu and Faisal, Aldo and Celi, Leo Anthony and Sontag, David and Doshi-Velez, Finale , title =

Reference 41

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:2cb8403bb867cfda336ef4401d0a3dc0d6fdd4c3cab7fb1bb533788d107af993

Observation e499a797-e002-41ba-b671-6e428586a773 · outbound

This paper cites CEUR Workshop Proceedings , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning CEUR Workshop Proceedings , year =

Reference 42

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:ce2fad6d529d941b1b4fface843098e53c38c487bb2f2f3dcae91621173e20fb

Observation e5f7a9fc-7dc9-406a-a125-100616e8068a · outbound

This paper cites 2020 , journal =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning 2020 , journal =

Reference 43

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no resolver link, observed 2026-06-26T21:19:38.293019Z

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:8f331553c98c0613b85dbb126261ac154c1b5d28703d21660dcae802ab1ee9ee

Observation 828fefd7-daf5-462a-af8f-d8c6c86ec7b9 · outbound

This paper cites European conference on machine learning , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning European conference on machine learning , year =

Reference 44

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no resolver link, observed 2026-06-26T21:19:38.293019Z

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:840ac4f26d3a3107ef7a78ad99e457fd994a0412140f943f07c78829515bb97c

Observation a3c3487b-845f-4576-80fa-c04b2c5138b1 · outbound

This paper cites and Stone, Peter , title =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Stone, Peter , title =

Reference 45

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:ea0eb83030533983e0f2dfc72fee5bfd373ccd07aa684c6209ef2614c781f5f3

Observation 7244dd31-7b8f-499b-a5f3-b419fbf62974 · outbound

This paper cites Proceedings of the 39th.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Proceedings of the 39th

Reference 46

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no resolver link, observed 2026-06-26T21:19:38.293019Z

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:e1fd97b0cb0629d3d14e84d84e8f3b846f973679301a5001495d7f75569255c1

Observation 7795a5ba-45d7-49b3-ab15-52e279124c11 · outbound

This paper cites Proceedings of the 35th.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Proceedings of the 35th

Reference 47

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no resolver link, observed 2026-06-26T21:19:38.293019Z

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:58b45f02dd70e4f5004523b0295864091040c0d99ba72833175df3b9a3d7845d

Observation 9218093f-5f62-4a9d-91dc-e546485fa3b2 · outbound

This paper cites Operations Research , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Operations Research , year =

Reference 48

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no resolver link, observed 2026-06-26T21:19:38.293019Z

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:7511151f33af1e0e8c6737cb352af88fd115eee2dbeb27d2fafb6d8f78cc2121

Observation 0c31726a-f152-4cfd-bb9f-2e1fad3746aa · outbound

This paper cites an unresolved cited work.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Unresolved cited work

Reference 49

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parse uncertain
no resolver link, observed 2026-06-26T21:19:38.293019Z

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:70685a893b036fd7becfb2e3f86365e92316bb1bf024349bbc97351719e8d49e

Observation 68a854c4-541f-4e41-8522-fc12950bc77c · outbound

This paper cites IEEE Transactions on Reliability , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning IEEE Transactions on Reliability , year =

Reference 50

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:1ea2024705a2e703c2928b311b2219e199c75f7c96fd4eab1beb72308555ee57

Observation d857f683-910e-45d7-aeb9-ac3ab01ef6c9 · outbound

This paper cites Individualised versus conventional glucose control in critically-ill patients: the.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Individualised versus conventional glucose control in critically-ill patients: the

Reference 51

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:e1859a0787ad2b9f3b7642c7302f62549f0764e20e8ff7e616e1ecb8036c7da0

Observation a664e8bd-dbcc-448f-8e61-9393d825dd04 · outbound

This paper cites and Hermanides, Jeroen and Deane, Adam M.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Hermanides, Jeroen and Deane, Adam M

Reference 52

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:c4d5b462c92cd0d5a0d769213bd0fbdd7bde3c1772529e57fd543e3e51ac3361

Observation 355e98c9-1e1f-4490-8270-541d89b4c751 · outbound

This paper cites Circulation , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Circulation , year =

Reference 53

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:c7bbee2a0f3634c6f710eb0b1356693bf5d8bcd5f2968778140c42ad94a7ef0c

Observation 30bedb5e-a712-467a-b879-541b19e570ec · outbound

This paper cites Journal of Medical Internet Research , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Journal of Medical Internet Research , year =

Reference 54

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:d42075c3888f1440c4b08530c57e794ef102cedbd8267291f0b8bff38c73efe4

Observation 2a24a1c4-0ffa-4a76-8864-826dcd111cad · outbound

This paper cites npj Digital Medicine , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning npj Digital Medicine , year =

Reference 55

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no resolver link, observed 2026-06-26T21:19:38.293019Z

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:28b4aa26ff8f0cd6606adb78bf109ba291efd256b492f5d2bd310055bb3d5ad8

Observation a996ba90-baae-410a-a5da-44782c688b18 · outbound

This paper cites Nature Medicine , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Nature Medicine , year =

Reference 56

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no resolver link, observed 2026-06-26T21:19:38.293019Z

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:3385f69a91dd8d7240fe904e88c7cce08ce6c6594437b1339e35c6eb7c02d05e

Observation 854c6862-b963-45b0-b75c-6087c4a79614 · outbound

This paper cites and Chowdhury, Afsana and Feng, Guangyu and Peters, Jennifer J.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Chowdhury, Afsana and Feng, Guangyu and Peters, Jennifer J

Reference 57

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no resolver link, observed 2026-06-26T21:19:38.293019Z

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:0d8f1be90aeae71b044e1457e382190f5606b58963df46cec3983614f882ff00

Observation 5483b05c-91e2-4d0b-8e0e-004642770b81 · outbound

This paper cites 2026 , month = feb, volume =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning 2026 , month = feb, volume =

Reference 58

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:fce2d45cebd06bdb31fab098c9586e080248f649d931b40112f1dc633f229b28

Observation 957d7c08-ba71-4975-b6e4-c9e75b708611 · outbound

This paper cites and Wiens, Jenna , title =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Wiens, Jenna , title =

Reference 59

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no resolver link, observed 2026-06-26T21:19:38.293019Z

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:78e0c73141fbc52f8dbea6e2c62e2bb8cbc15ff84da20f4933e1af7d630554e3

Observation e2e6e19e-af4a-47af-85d9-6943f11e3d9e · outbound

This paper cites Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis , journal =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis , journal =

Reference 60

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:bec57fca4fe1add203f72965867ca5b54ddedf5c67e35dea3aa7e00d20fee649

Observation cb08b8c4-7fb2-4537-94df-8abb35ad2491 · outbound

This paper cites and Subramanian, Jayakumar and Ghassemi, Marzyeh , title =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Subramanian, Jayakumar and Ghassemi, Marzyeh , title =

Reference 61

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:9bb5af9ec226a8eec863dba376f97bd7baa90b39769a88af9f9c97cca179786b

Observation 1b0f5fff-6d56-4916-be3b-d9284358461f · outbound

This paper cites Human-Centric Intelligent Systems , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Human-Centric Intelligent Systems , year =

Reference 62

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:9499584e36cea1347b7e1641fb1be752a43129d684eafe45ee3ef9d2c9659e2b

Observation 46fcec6b-c1c3-4583-9b6f-ba87d1bf04e1 · outbound

This paper cites Operations Research , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Operations Research , year =

Reference 63

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:ab7fa1620bde262b5edb26275fc2baedc44d5fd12c75ca588a264db412051f9a

Observation 457f0a34-42c5-4993-812b-076afe409292 · outbound

This paper cites , title =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning , title =

Reference 64

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:22a5c72ff12975c8b9307c996101977dcd204de6d1c11e91235a94d7e3147cc8

Observation df573d61-4640-4373-aeb2-a8cae97ac4b4 · outbound

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

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Advances in Neural Information Processing Systems , year =

Reference 65

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:fab8adf954fe45cf83fca0e0838dcd6c73be2fd0fd92ea08b524bccd6a85f158

Observation 9d96fcd2-4b45-46a4-90db-f3e675fe45ea · outbound

This paper cites Proceedings of the 41st.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Proceedings of the 41st

Reference 66

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:12440b6286533317affee4f57e7707603f74394555292e9b362f7e5e8ce6886e

Observation 02f79336-cc4c-4382-8208-b6c0d7e3afae · outbound

This paper cites an unresolved cited work.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Unresolved cited work

Reference 67

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no resolver link, observed 2026-06-26T21:19:38.293019Z

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:913f4a3ae16faf7d1e5261657b2821c0bb2a9d4fb50b78fcd296a3cbaa5c40d1

Observation ae10d0b2-b5af-474d-b7bf-74c2c688bb86 · outbound

This paper cites 2026 , journal =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning 2026 , journal =

Reference 68

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no resolver link, observed 2026-06-26T21:19:38.293019Z

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:009b66921d21fa2153b161ef3c7c5b9d8cb384361e003b09b246a6074f6dd9bd

Observation 58a3ef82-c4e4-4e1d-9852-5afe168aa778 · outbound

This paper cites Journal of Open Source Software , year =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Journal of Open Source Software , year =

Reference 69

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:130a47a93df19ed43315b1937795161c9964a031b571444753fc780e6105425f

Observation b9c881d1-311a-41ee-9d5e-83e5f82fd3ce · outbound

This paper cites Intensive insulin therapy in critical care: a review of 12 protocols , journal =.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning Intensive insulin therapy in critical care: a review of 12 protocols , journal =

Reference 70

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:d499d7faafe63c1838e9bc90e6cde7de21993979795c27ad8ed96a7acabc9c28

Observation cad34ba9-5b8c-4d85-8807-33aaf017a503 · outbound

This paper cites and Singh, Satinder P.

Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning and Singh, Satinder P

Reference 71

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source=arxiv_source observed=2026-06-26T21:19:38.293019Z digest=sha256:54bc0d65f741626fec2fd19a4909997bb1e5559624823f3b692778e5a87d6c74

Pith citing papers

No inbound Pith citation observations are available.