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Paper Citation Record · LEDGER

Health AI Developer Foundations

As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 2 inbound Pith citation observations for arXiv:2411.15128.

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

pith.paper-citation-record.v1
2411.15128 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:30:51.361279Z

measured 31 of 31 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:20:01.728568Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy6
  • unresolved19
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

4
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation fdd31acb-37b1-4ea0-be07-6be85b0c6a81 · outbound

This paper cites Kiraly, Sujeeth Bharadwaj, Bokyung Choi, Joshua J.

Health AI Developer Foundations Kiraly, Sujeeth Bharadwaj, Bokyung Choi, Joshua J

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.231686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.231686Z digest=sha256:d9436285290d33237ac5e8d89c625fdefde4af1245d22c85a98d7a7aff986974

Observation 7aa40bd7-354d-4ec0-b796-f5d46b55a854 · outbound

This paper cites Masked Siamese Networks for Label-Efficient Learning.

Health AI Developer Foundations Masked Siamese Networks for Label-Efficient Learning

Reference 2

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unresolved
no resolver link, observed 2026-08-12T14:30:51.236651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.236651Z digest=sha256:941b2a36e0286dc1aa868c665b6bcc1036b380f4bb12d49d6555ec0e96e6405e

Observation e6b1603a-3e63-4bc0-b533-2985a4f5028b · outbound

This paper cites HeAR -- Health Acoustic Representations.

Health AI Developer Foundations HeAR -- Health Acoustic Representations

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.241357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.241357Z digest=sha256:26c930a46ca40a84b2da5f7771b0a576053cb10ea201b2398d7c493183203171

Observation b118abd1-8111-4eaf-8309-43b0fd9e00b8 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Health AI Developer Foundations An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.249995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.249995Z digest=sha256:5947e106385c929f787f62e4218a9c3d1f2ce9259c2ec23e11493d75d10a532b

Observation cb6173fb-5de1-4e1f-8885-5f57609a929b · outbound

This paper cites Clap: Learning audio concepts from natural language supervision.

Health AI Developer Foundations Clap: Learning audio concepts from natural language supervision

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:51.863900Z

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=2026-08-12T14:30:51.254766Z digest=sha256:246686c8221bb678a5688cd9b154616f88ba31044f922857a53d1135053cedb0

Observation b9f5da42-468e-47ef-b002-4ecba446cedc · outbound

This paper cites Accelerate ai development for digital pathology using EZ WSI DICOMWeb P ython library.

Health AI Developer Foundations Accelerate ai development for digital pathology using EZ WSI DICOMWeb P ython library

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:51.845879Z

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=2026-08-12T14:30:51.261128Z digest=sha256:a3f2c5477834cc3a37ac6752a1aa339ffb5f597d8a0afd5201fb338ffefb8572

Observation 342bb574-6cdd-4fc4-9ed7-308c51fd3eaf · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

Health AI Developer Foundations Masked Autoencoders Are Scalable Vision Learners

Reference 7

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unresolved
no resolver link, observed 2026-08-12T14:30:51.265726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.265726Z digest=sha256:8ca25653daf7b0caacc211def52bdca35efde70cffabd74c0dcd6c1a815844d0

Observation df4bac94-f6d1-4cde-ba33-8124b350259e · outbound

This paper cites Supervised Contrastive Learning.

Health AI Developer Foundations Supervised Contrastive Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.271243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.271243Z digest=sha256:0a18aabb56b31e06d53ebc5c8694520d7fa5e74ba613ec300a471b1dfc960b2c

Observation dce1b15a-f16e-4d4f-bc1d-4c0df5f58dcb · outbound

This paper cites Big Transfer (BiT): General Visual Representation Learning.

Health AI Developer Foundations Big Transfer (BiT): General Visual Representation Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.276467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.276467Z digest=sha256:0f9352e4c04a0c265d9f0e828145a6ea70d69f972e6c06074b17a710938b952c

Observation faf4aa5b-5eee-4d2e-ab37-47edafd1be7a · outbound

This paper cites Domain-specific optimization and diverse evaluation of self-supervised models for histopathology.

Health AI Developer Foundations Domain-specific optimization and diverse evaluation of self-supervised models for histopathology

Reference 10

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unresolved
no resolver link, observed 2026-08-12T14:30:51.282225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.282225Z digest=sha256:41d2cf390e4e428ce4b94da63657e789fcd7385c3eb10fc07ad6e8eec1ff01a4

Observation 89d19cbc-5e0b-4037-964f-f36f9e522909 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

Health AI Developer Foundations BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.286288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.286288Z digest=sha256:5e41dc99535eb7745aa234ed42c814dca4c85d4b8e595ca8f387ff5b8e22c6f4

Observation 62522b71-0996-416f-8586-23d2c1bc893a · outbound

This paper cites an unresolved cited work.

Health AI Developer Foundations Unresolved cited work

Reference 12

Resolution
verified exact
doi, observed 2026-08-12T14:30:51.429246Z

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=2026-08-12T14:30:51.290696Z digest=sha256:b5fcd13dd1f897c04436b59935c3038c284f7efb92ad7f7c769be6e34c44c173

Observation 38ee54aa-7ec7-4aea-abf5-8ca548983dde · outbound

This paper cites GDC Data Portal Homepage , 2024.

Health AI Developer Foundations GDC Data Portal Homepage , 2024

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:51.833894Z

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=2026-08-12T14:30:51.294676Z digest=sha256:120fb0315cd8c29e020a342459b7a7b5ec5ba8822528a95e2c9e2a573bdee698

Observation 0f30e6c0-53ea-4c2f-a5b5-2f15bc2b4290 · outbound

This paper cites The National Lung Screening Trial : overview and study design.

Health AI Developer Foundations The National Lung Screening Trial : overview and study design

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.298220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.298220Z digest=sha256:7b0e77fa66b01a885602c17f36977843d93be2a5ea4f0b9217f4528a5544bccf

Observation c1a7bcae-9535-446a-9c3e-31bc1aaaee5b · outbound

This paper cites FRILL: A Non-Semantic Speech Embedding for Mobile Devices.

Health AI Developer Foundations FRILL: A Non-Semantic Speech Embedding for Mobile Devices

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:30:51.635619Z

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=2026-08-12T14:30:51.301793Z digest=sha256:50968e905156ce91d468f55ec67b7bd1317c5ccc3171d47bd2e9aebaafcfb6d2

Observation fb138d07-d614-41ff-9236-661eb2f5bc54 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Health AI Developer Foundations Learning Transferable Visual Models From Natural Language Supervision

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.306890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.306890Z digest=sha256:406e60e2db07b88d22ac542c2b226f63fe51dfcf589d35d2940f395a70762ff0

Observation 2a826501-7a18-4c22-895f-6c1d71b95aef · outbound

This paper cites Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings.

Health AI Developer Foundations Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T14:30:51.595752Z

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=2026-08-12T14:30:51.311765Z digest=sha256:4db38531efba9e8138260c0d5b8ac4be0712cfc596f2c72b8781764ed5d76283

Observation cedc50cc-e791-4552-baa4-9c3faaf310f7 · outbound

This paper cites Sellergren, Christina Chen, Zaid Nabulsi, Yuanzhen Li, Aaron Maschinot, Aaron Sarna, Jenny Huang, et al.

Health AI Developer Foundations Sellergren, Christina Chen, Zaid Nabulsi, Yuanzhen Li, Aaron Maschinot, Aaron Sarna, Jenny Huang, et al

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:51.819997Z

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=2026-08-12T14:30:51.316372Z digest=sha256:6db9e8e3976e0ba4c0b3a71f88f1c71cc0643cd1d1f1ae03028c908d7bca3b06

Observation 0b8c96cc-592e-4703-a7a7-e78a68c2469e · outbound

This paper cites Towards Learning a Universal Non-Semantic Representation of Speech.

Health AI Developer Foundations Towards Learning a Universal Non-Semantic Representation of Speech

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.320437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.320437Z digest=sha256:59fee8c49e478349504ce29beb24b5f9c6ce6636bc06de3a53a1e5dcc8980302

Observation 77daae81-609c-41ba-9764-c936fbd6534f · outbound

This paper cites Revisiting Unreasonable Effectiveness of Data in Deep Learning Era.

Health AI Developer Foundations Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.324455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.324455Z digest=sha256:7c3d9ff3c04cb0c035fc2496e26993c0928f307f78bc218d775c5238d106b3f0

Observation bc2df7de-d14e-41d1-b5ad-8ef543a3e8c9 · outbound

This paper cites Corrado, Dale R.

Health AI Developer Foundations Corrado, Dale R

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:51.804473Z

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=2026-08-12T14:30:51.328734Z digest=sha256:e5b004926fcf778ff6e6f22c7861024059b8722901d9d4cc6bb76fbc7254cd3b

Observation e625b8d2-b1a8-4987-bf0f-ac74867d00a6 · outbound

This paper cites An intentional approach to managing bias in general purpose embedding models.

Health AI Developer Foundations An intentional approach to managing bias in general purpose embedding models

Reference 22

Resolution
malformed identifier
doi_truncated, observed 2026-08-12T14:30:51.406636Z

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=2026-08-12T14:30:51.332214Z digest=sha256:0af4291b02b139f9cd85d2e9b2fd946b0620c59db1874133e93b7e826d2ef3d6

Observation b8304ad0-3455-4c8e-ae2f-4c729a77ac5c · outbound

This paper cites Self-training with Noisy Student improves ImageNet classification.

Health AI Developer Foundations Self-training with Noisy Student improves ImageNet classification

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.335994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.335994Z digest=sha256:921ec4a0323971eb15dc20757224a7321814d882cdd5a45bd6ad423512bce201

Observation 4e14d898-54e4-4bc4-b7cd-299a8fd6773c · outbound

This paper cites ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders.

Health AI Developer Foundations ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.339870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.339870Z digest=sha256:707c619dbbff38cb08ac1bbaff45d9df474c98a7e971b5f66118521c46efa57e

Observation 770b187d-d44d-457a-9bd3-b82401464665 · outbound

This paper cites VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners.

Health AI Developer Foundations VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.343704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.343704Z digest=sha256:36b5f236cf9281c03fe8895188f1b8334c3399626e7ee14b9ac85fa7c44ce198

Observation a527eecf-db0a-4bac-a69c-6e6ad310db67 · outbound

This paper cites Advancing Multimodal Medical Capabilities of Gemini.

Health AI Developer Foundations Advancing Multimodal Medical Capabilities of Gemini

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.347829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.347829Z digest=sha256:fb3fdd4ca6e3dc0f4b3f39be46d596676d8db82103d498ae344efecb9b8d4ebd

Observation 30c78f3c-09f7-4038-a27f-c5d542c2e3dd · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Health AI Developer Foundations CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.352114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.352114Z digest=sha256:629d9c6e6e9c173768610df8aaa686d231fef50481d42c6e165f81927c91cd00

Observation 65d786ca-c7b8-4234-b4b1-550cd201ff6c · outbound

This paper cites Bigssl: Exploring the frontier of large-scale semi-supervised learning for automatic speech recognition.

Health AI Developer Foundations Bigssl: Exploring the frontier of large-scale semi-supervised learning for automatic speech recognition

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:30:51.790363Z

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=2026-08-12T14:30:51.356843Z digest=sha256:09705db3fdaa6cd952c1c5b68c73840b4f8b5346f42ce26ed64d2910ad08e568

Observation f4886a19-23fc-4c1a-9874-fb6d6559fd52 · outbound

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

Health AI Developer Foundations Contrastive Learning of Medical Visual Representations from Paired Images and Text

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.361279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.361279Z digest=sha256:974d67489299515c741a0677707d5435a0e0906035c494509eeca9c2a901431f

Pith citing papers

Observation accc3ea2-0da7-4b6e-92cc-dad3feba0165 · inbound

RoentMod: A Synthetic Chest X-Ray Modification Model to Identify and Correct Image Interpretation Model Shortcuts cites this paper.

RoentMod: A Synthetic Chest X-Ray Modification Model to Identify and Correct Image Interpretation Model Shortcuts Health AI Developer Foundations

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-04T20:24:07.069581Z

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=pdf_text observed=2026-08-04T20:20:01.728568Z digest=sha256:c43e0ec6420fe7c7c003917c97e10e617778c2fb18131e983f3f4eb5f1615f01

Observation ac024226-1c8c-499f-8a08-b1fa29f3186a · inbound

ScaFE: Data-Efficient Scar Classification with LLM-Generated Clinical Feature Programs cites this paper.

ScaFE: Data-Efficient Scar Classification with LLM-Generated Clinical Feature Programs Health AI Developer Foundations

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-31T04:17:57.554126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T04:17:57.554126Z digest=sha256:79b39e3a84c5ac81ba61dd0de4e1e59b3375dd0494a48ea61976626de5684cd1