Paper Citation Record · LEDGER

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.23652.

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

pith.paper-citation-record.v1
2507.23652 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:36:39.697795Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

36 of 36 outbound references displayed

verified exact1
verified fuzzy25
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75bc8f55-7214-437e-870d-40a87b7364c9 · outbound

This paper cites saliency maps from physicians.

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis saliency maps from physicians

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.737018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca25a1b6-b0d3-4dcb-9286-759661480af8 · outbound

This paper cites Medical Image Analysis (2024).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis Medical Image Analysis (2024)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.717875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b177fe2-6db7-415d-bd08-76727ac6244f · outbound

This paper cites In: NeurIPS (2021).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: NeurIPS (2021)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.695515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa8272bd-4948-4794-b32a-e67c3402d434 · outbound

This paper cites CAAI AIR2, 9150015 (2021).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis CAAI AIR2, 9150015 (2021)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.675631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b520eb6d-7e4b-4577-93c2-acefb27dee8f · outbound

This paper cites In: MICCAI (2023).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: MICCAI (2023)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.647074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 184274c1-6b44-4025-8a17-02704e7cdce6 · outbound

This paper cites The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes.

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T10:36:39.478197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 838b7b7e-cc60-49dc-addc-659f2ea327e3 · outbound

This paper cites In: NeurIPS (2017).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: NeurIPS (2017)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.629001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0cc95853-b17b-4d9f-b24e-09424fd16313 · outbound

This paper cites In: NeurIPS (2020).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: NeurIPS (2020)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T10:36:39.493704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15db4a57-6b02-46bc-bfb9-7c785fc8765e · outbound

This paper cites In: NeurIPS Workshop (2022).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: NeurIPS Workshop (2022)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T10:36:39.499559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4267bb-acf4-4435-b41d-fbe67d6c708f · outbound

This paper cites In: AAAI (2024).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: AAAI (2024)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.564373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 484901ad-acfb-4514-b836-7a44ac28adb7 · outbound

This paper cites Nature methods (2021).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis Nature methods (2021)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.545528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6c84940e-a01b-41f9-b7a4-a152b4dff892 · outbound

This paper cites In: MMM (2020).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: MMM (2020)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.522884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce77957e-8d74-4586-8c66-a949f63aa89c · outbound

This paper cites In: ECCV (2024).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: ECCV (2024)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.499876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b059a95-31b1-4e90-9bb0-55d3eb7807c2 · outbound

This paper cites an unresolved cited work.

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:36:40.473230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54b4d512-810c-4692-95a7-09815afadb30 · outbound

This paper cites In: ICLR (2017) 10 Qiu et al.

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: ICLR (2017) 10 Qiu et al

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.445002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e914664d-d3b1-4c0b-8493-40daacdb74d1 · outbound

This paper cites In: CVPR (2023).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: CVPR (2023)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.424319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bbcc62a7-050b-4fb8-a8bf-d018fbd8bdba · outbound

This paper cites In: AAAI (2024).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: AAAI (2024)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.401266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b334e920-f699-4d06-8cfd-c405e4ead09e · outbound

This paper cites In: CVPR (2025).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: CVPR (2025)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.375085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23df6817-5164-48ee-9273-59d545c46c9f · outbound

This paper cites In: ICASSP (2024).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: ICASSP (2024)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.354933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d1a298f-ec6f-4a19-a08b-19cc69418add · outbound

This paper cites In: CVPR (2022).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: CVPR (2022)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T10:36:39.578986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5e8e7fd-724f-416c-b504-a959ad8a1ce6 · outbound

This paper cites In: CVPR (2023).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: CVPR (2023)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T10:36:39.584730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cce25328-bc24-4670-adc5-d2cb4a57c420 · outbound

This paper cites IEEE TMI (2025).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis IEEE TMI (2025)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.310217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44eb53b3-fed7-4e6b-89aa-9e50409f2cc8 · outbound

This paper cites In: IJCAI Workshop (2024).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: IJCAI Workshop (2024)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.288498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b83fa1f-db4c-4b6b-9078-892515099d8a · outbound

This paper cites INT J COMPUT ASS RAD9, 283–293 (2014).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis INT J COMPUT ASS RAD9, 283–293 (2014)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.270784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a4025d8a-9fad-4833-bd58-004f1ac2609c · outbound

This paper cites In: ICLR (2020).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: ICLR (2020)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.248948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13362bfb-6475-468c-8490-435dc3846ec4 · outbound

This paper cites In: ICML (2023).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: ICML (2023)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T10:36:39.619332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c55e3df-9839-4d12-ad0f-d8c99613fcf1 · outbound

This paper cites In: ICLR (2020).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: ICLR (2020)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.211201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc9c706b-66fe-409d-91f5-61580cb57547 · outbound

This paper cites IEEE TMI35(2), 630–644 (2015).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis IEEE TMI35(2), 630–644 (2015)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.185320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 53fb6a00-1611-446f-bf8b-fedc22ca535b · outbound

This paper cites PloS one17(5) (2022).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis PloS one17(5) (2022)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.155736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3890804-5a76-48ac-97fc-aa1e8af5d486 · outbound

This paper cites Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models.

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T10:36:39.973344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f515fc2-fa95-4b62-85c0-d7fbcb8210d7 · outbound

This paper cites In: NeurIPS (2017).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: NeurIPS (2017)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T10:36:39.670304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15e402a6-7733-4e86-9fed-a050f106f4e5 · outbound

This paper cites J HEALTHC ENG2017(1), 4037190 (2017).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis J HEALTHC ENG2017(1), 4037190 (2017)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.111698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4cac9fba-2ac8-4dce-88d0-4a5ae47831cd · outbound

This paper cites In: MICCAI (2021).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: MICCAI (2021)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.085187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ad88757-46ff-4815-b1be-57e47ace038d · outbound

This paper cites In: ICCV (2023).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: ICCV (2023)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:36:40.062279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 271a9dc0-84bc-44f0-abbe-3d9db91e8e3e · outbound

This paper cites arXiv preprint arXiv:2507.05148 (2025).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis arXiv preprint arXiv:2507.05148 (2025)

Reference 35

Resolution: verified exact; raw_fallback, observed 2026-08-06T10:36:39.921270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8cbaeba-bccb-4f11-8b5a-aaed261a53ac · outbound

This paper cites In: ICCV (2023).

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis In: ICCV (2023)

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T10:36:39.697795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.