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Paper Citation Record · LEDGER

Recent Advances in Generative AI for Healthcare Applications

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2310.00795.

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

pith.paper-citation-record.v1
2310.00795 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T06:26:31.708511Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:46:57.396698Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:46:57.868199Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact4
  • verified fuzzy14
  • unresolved7
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7cdb56c9-58db-442f-927d-7676a2ea8634 · outbound

This paper cites an unresolved cited work.

Recent Advances in Generative AI for Healthcare Applications Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:29:02.172915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:44f1c80bccfda3a83d8a0b6b8578763d9ec754ceb1ce7550f7bfe464a0402264

Observation a84baedb-eda7-4706-a7f3-d19111a7c36a · outbound

This paper cites (Abdine et al.

Recent Advances in Generative AI for Healthcare Applications (Abdine et al

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.176104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:01f1dda4d3e774c2dae0912eb4dd67298d34fab279e729c9c7e266d99da94915

Observation 8f4194e7-f131-4f39-80d1-5d6511dc8c63 · outbound

This paper cites (Boadu, Cao, and Cheng 2023) TransFun Protein function prediction Combining protein sequences and 3D structures leads to accurate protein function prediction.

Recent Advances in Generative AI for Healthcare Applications (Boadu, Cao, and Cheng 2023) TransFun Protein function prediction Combining protein sequences and 3D structures leads to accurate protein function prediction

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.163249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:e7abfe1cf3f271a0cc8295042e4c6afada78069727624bb04bdbab0f44261e4e

Observation 334a35ce-9de9-4547-a7d7-581234b90f41 · outbound

This paper cites Ferruz, Schmidt, and Höcker 2022 ProtGPT2 Novel protein sequence generation Language models trained on protein sequences can generate novel proteins that mimic natural ones.

Recent Advances in Generative AI for Healthcare Applications Ferruz, Schmidt, and Höcker 2022 ProtGPT2 Novel protein sequence generation Language models trained on protein sequences can generate novel proteins that mimic natural ones

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.166823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:40433684b98154d15c09ee6963830ad9f7c61537c57ff29a65f0cc4604b3fd56

Observation b266cd65-83f9-4283-ab73-080bc65d87d0 · outbound

This paper cites Clinical documentation and (Gérardin et al.

Recent Advances in Generative AI for Healthcare Applications Clinical documentation and (Gérardin et al

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.170170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:4deaae008d1931e0fa03da9e5ac123da4e2b51c41d2aa13801a591d8a41f061b

Observation 96ef8ec9-bc25-49c3-9f93-42dbf3d74ed0 · outbound

This paper cites an unresolved cited work.

Recent Advances in Generative AI for Healthcare Applications Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:29:02.180388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:da9c03a5d071c6a9f69cc98305bb347a19947a825dbe90750b28a314f20d62e0

Observation 3038c0c0-0aa8-4a05-8714-b7c2adf29661 · outbound

This paper cites an unresolved cited work.

Recent Advances in Generative AI for Healthcare Applications Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:29:02.159510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:4622380080eb1e2a7812984121335ce74617b9fdc5bb91dd9a10d960f9755465

Observation 57848187-25a5-4775-99c0-2b54f78c3bf5 · outbound

This paper cites (Yogarajan et al.

Recent Advances in Generative AI for Healthcare Applications (Yogarajan et al

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.133587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:bcc1eadc9ef9c4532f8049a4c15d62f3621da24187476992c94e82b47f1b5928

Observation 5dbaf1cc-fa56-4ece-8246-7d50e06edd12 · outbound

This paper cites an unresolved cited work.

Recent Advances in Generative AI for Healthcare Applications Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:29:02.136762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:d4a102f5bc319896ff7dfc056e48cde52ceaf8af2beefb27b0841a123bef8354

Observation c2537a6a-aa7a-4e6c-b731-614a72479772 · outbound

This paper cites an unresolved cited work.

Recent Advances in Generative AI for Healthcare Applications Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:29:02.139607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:75f768d61d5d6ad9ecac8f4cf7ac0a9080cc89842bc3ac20a03b7884f629cb19

Observation 2a2aba83-5f50-495f-b02b-975f755f0598 · outbound

This paper cites (Nimalsiri et al.

Recent Advances in Generative AI for Healthcare Applications (Nimalsiri et al

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.123778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:1ea94a3e0a57b1a5f272b9dab5bfe12d4278b06dc3e7f4331f95ccc70b5b4d03

Observation e48f5c19-ad45-4bbe-9544-66cdb5b0eb96 · outbound

This paper cites Clinical Decision Support (J.

Recent Advances in Generative AI for Healthcare Applications Clinical Decision Support (J

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.155513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:95db26ea71f6c3acdac11bb8c6ed94c855347821bdd71b37250f77887e3a1561

Observation 19e949b6-73c3-4fc9-a160-af5e72508695 · outbound

This paper cites It captured the underlying hierarchical structures in medical codes and outperformed all baseline models regarding prediction accuracy for medication recommendation tasks.

Recent Advances in Generative AI for Healthcare Applications It captured the underlying hierarchical structures in medical codes and outperformed all baseline models regarding prediction accuracy for medication recommendation tasks

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.126830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:d716dc610914917d50451f5b380aa7ad4b670858e6b44398a035a10e8eb1bcb0

Observation 99dff720-d08a-46d8-8c94-eb5832fdbf29 · outbound

This paper cites (Fabian et al.

Recent Advances in Generative AI for Healthcare Applications (Fabian et al

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.120385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:f2430856fa67c1a96bbd0c6e2da34c09b4862061ad5776209c606077fd298793

Observation bb379408-d2d2-47ba-931a-1c2a77bf8fe4 · outbound

This paper cites MOLBERT utilized learned molecular representations and outperformed prevailing state-of-the-art models on benchmark datasets.

Recent Advances in Generative AI for Healthcare Applications MOLBERT utilized learned molecular representations and outperformed prevailing state-of-the-art models on benchmark datasets

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.152270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:bf4bfcf24a7868e8e4a97a2be3a41d84dc069eae25e25ec508fb67fd036b0bd4

Observation 1ba5b63c-7619-4170-967f-1f625b9434a9 · outbound

This paper cites It outperformed leading-edge baseline models in a comparative analysis using real-world data.

Recent Advances in Generative AI for Healthcare Applications It outperformed leading-edge baseline models in a comparative analysis using real-world data

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.148985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:5200bf38efaab9679b4ec76adb26eb07a3b2b9265280f79e3748d3f075c50a9d

Observation f2492ba9-8236-44fd-a1ec-b5033a7a77c1 · outbound

This paper cites GROVER combines Message Passing Networks with Transformer-style architecture to create more expressive encoders for complex information.

Recent Advances in Generative AI for Healthcare Applications GROVER combines Message Passing Networks with Transformer-style architecture to create more expressive encoders for complex information

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.114273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:5a897530cfd6c40daf1e8a40d1cbe9ad4af0d7831a954168f4810bba12ceb20a

Observation c2a55320-f81f-4717-a3d4-7344c0079d4b · outbound

This paper cites an unresolved cited work.

Recent Advances in Generative AI for Healthcare Applications Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:29:02.145769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:229bb83b7a0151f5ec71685d3c4fb6ed73f94021f1bbe0cd5d6c05e31d95c2a6

Observation 16ae8f46-3bf6-40dd-afa6-3129b9b3401d · outbound

This paper cites an unresolved cited work.

Recent Advances in Generative AI for Healthcare Applications Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:29:02.142567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:3894981e6607204c937eb15befe9757cf89592c22a2da428d89bc00d51deac7e

Observation 767a3d3c-cf7a-4490-b9a8-4c3c6beb010a · outbound

This paper cites black box.

Recent Advances in Generative AI for Healthcare Applications black box

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.111633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:e689ee41d2f70e3f909f302a0864cacd88cc7c2544aa52847bbee2a8dccfb0dc

Observation f2db648c-200a-446a-8911-f27a4a9a56c0 · outbound

This paper cites We differentiated the diffusion models into three main categories: DDPMs, NCSNs, and SDEs, and elaborated on the attention mechanisms within transformers.

Recent Advances in Generative AI for Healthcare Applications We differentiated the diffusion models into three main categories: DDPMs, NCSNs, and SDEs, and elaborated on the attention mechanisms within transformers

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:29:02.117485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:729976ba6ff7af1c265828653208bb034ca8e54aac7fb68da38d320e26efcfe0

Observation 61a73be0-98d4-46ce-990f-56daa3799cec · outbound

This paper cites an unresolved cited work.

Recent Advances in Generative AI for Healthcare Applications Unresolved cited work

Reference 22

Resolution
parse uncertain
raw_fallback, observed 2026-05-24T06:29:02.130131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:5eac0c9650b05660d08b37b1728c22c5d2b778687b9880358965cbee0fbe359b

Observation 10b6e771-bc05-415d-a67e-7e5250a9d3b2 · outbound

This paper cites Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers.

Recent Advances in Generative AI for Healthcare Applications Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:29:00.854576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:75315ba8e5d316ddefcdb26b8ebecd538021d0e07c4cd12cf4ae522f0f0d2712

Observation 15114984-97e5-4d2b-a007-c87bb85f3fb7 · outbound

This paper cites The Role of Generative Adversarial Networks in Brain MRI: A Scoping Review.

Recent Advances in Generative AI for Healthcare Applications The Role of Generative Adversarial Networks in Brain MRI: A Scoping Review

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:29:00.435597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:50a96903d31ccd151f0edbe5c9b823902e66be8792359555e73624aa18ba57e1

Observation 05fe1205-b56f-4eb9-b0b7-baa35f69609d · outbound

This paper cites HealthPrompt: A Zero-Shot Learning Paradigm for Clinical Natural Language Processing.

Recent Advances in Generative AI for Healthcare Applications HealthPrompt: A Zero-Shot Learning Paradigm for Clinical Natural Language Processing

Reference 25

Resolution
verified exact
doi, observed 2026-05-24T06:29:00.479153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:62e6d388b6d495fd373dab3f9cd420b7d21a56aeae4c66f8c6ea9443281ce9ef

Observation b28f3201-1888-49f3-911c-b3e1a7e8819d · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Recent Advances in Generative AI for Healthcare Applications Score-Based Generative Modeling through Stochastic Differential Equations

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T06:29:00.473912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:f3b7c425a97e774d2e749674e322aad5bfd07b418cace2555ae84804593db2c7

Observation 9f9aee10-4a8a-4eb8-b176-ad2117c9059a · outbound

This paper cites BERTology Meets Biology: Interpreting Attention in Protein Language Models.

Recent Advances in Generative AI for Healthcare Applications BERTology Meets Biology: Interpreting Attention in Protein Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:29:00.462060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:fffea807e6bbaa02e35cc60784488436fb22acbf0a858d7429f75e9a8158d57f

Pith citing papers

Observation b6726d80-d86d-47c7-a8b6-9eebd1f38dd0 · inbound

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI cites this paper.

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI Recent Advances in Generative AI for Healthcare Applications

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:46:57.949683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:46:57.396698Z digest=sha256:feaf09c9d1cbefd3cf8b591f79535fa9096399a858ab9e98582fb8d2e1d3d047