Paper Citation Record · LEDGER

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control

As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.14126.

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

pith.paper-citation-record.v1
2607.14126 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:40:05.008597Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 49ddba35-be7a-4f15-b244-43755d6f118d · outbound

This paper cites G2p2c — a modular reinforcement learning algorithm for glucose control by glucose prediction and planning in type 1 diabetes,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control G2p2c — a modular reinforcement learning algorithm for glucose control by glucose prediction and planning in type 1 diabetes,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:03.631777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ea1d4d-d6c5-40fb-a390-9aa82b283d42 · outbound

This paper cites Time in range: a new parameter to evaluate blood glucose control in patients with diabetes,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control Time in range: a new parameter to evaluate blood glucose control in patients with diabetes,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:03.709924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a4d66d3-1c3a-4588-95c6-58393dfd2519 · outbound

This paper cites Type 1 diabetes,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control Type 1 diabetes,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:03.788238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceea9e88-f093-4b6b-8dba-ee5c1bf92cb0 · outbound

This paper cites One year real-world use of the control-iq advanced hybrid closed-loop technology,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control One year real-world use of the control-iq advanced hybrid closed-loop technology,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:03.862585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29254b11-f20e-4a69-b49b-2f38a5f5b8dd · outbound

This paper cites Deep reinforcement learning for closed-loop blood glucose control,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control Deep reinforcement learning for closed-loop blood glucose control,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:03.936136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb2ea845-735b-46d7-9b2c-06a857bbac43 · outbound

This paper cites Toward a fully automated artificial pancreas system using a bioinspired reinforcement learning design: In silico validation,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control Toward a fully automated artificial pancreas system using a bioinspired reinforcement learning design: In silico validation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:04.011302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fffc463a-419a-4afe-9f92-6dd25e128f09 · outbound

This paper cites Explainable reinforcement learning via differen- tiable decision trees,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control Explainable reinforcement learning via differen- tiable decision trees,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:04.087519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68b4f726-ad46-41c0-91d4-f963d76cfc2b · outbound

This paper cites Beyond distillation: Pushing the limits of med- ical llm reasoning with minimalist rule-based rl,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control Beyond distillation: Pushing the limits of med- ical llm reasoning with minimalist rule-based rl,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:04.160635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a7bdcde-50d1-4003-9d31-001aaf6f01eb · outbound

This paper cites A blood glucose control framework based on reinforce- ment learning with safety and interpretability: In silico validation,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control A blood glucose control framework based on reinforce- ment learning with safety and interpretability: In silico validation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:04.233662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6224c6a4-68ba-44ce-bbdf-e299247069fe · outbound

This paper cites Security analysis of rl-based artificial pancreas systems,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control Security analysis of rl-based artificial pancreas systems,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:04.307041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812fdf81-976c-4ed7-be2b-91bc0a1d5db7 · outbound

This paper cites Large language models in diabetes management,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control Large language models in diabetes management,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:04.380761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32ec17e5-e434-43a6-abbe-ae349aa6ac22 · outbound

This paper cites Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:04.488059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 099fa153-a948-4272-8f22-0d0944b650f4 · outbound

This paper cites Formal verification of a multi-basal insulin infusion control model,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control Formal verification of a multi-basal insulin infusion control model,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:04.592698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 484235f6-664b-43b9-bd45-31c7279be755 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control LoRA: Low-Rank Adaptation of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:04.714452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00f76b85-dfac-4a81-9dd0-9362e9c01bae · outbound

This paper cites Artificial pancreas: past, present, future,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control Artificial pancreas: past, present, future,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:04.778665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a3d9f70-c9a4-4474-a2ba-d2fb4cf486e9 · outbound

This paper cites In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:04.843562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 044f8907-3868-4c26-ae08-21d0d9a8424b · outbound

This paper cites The uva/padova type 1 diabetes simulator goes from single meal to single day,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control The uva/padova type 1 diabetes simulator goes from single meal to single day,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:04.938024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e42c90-5992-46f1-834f-01280691d5f7 · outbound

This paper cites The uva/padova type 1 diabetes simulator: new features,.

Interpretable Language Model for Closed-Loop Type 1 Diabetes Control The uva/padova type 1 diabetes simulator: new features,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:05.008597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.