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Paper Citation Record · LEDGER

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework

As of 14 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.10328.

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

pith.paper-citation-record.v1
2506.10328 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:35:41.846259Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy26
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5893d0a7-3b4f-480e-a97e-d3949bfd1f3d · outbound

This paper cites Assessment of AI-Generated Pediatric Rehabilitation SOAP-Note Quality.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Assessment of AI-Generated Pediatric Rehabilitation SOAP-Note Quality

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9613be8c-7e2f-47e4-b2a1-4d78d393bfec · outbound

This paper cites Donate to support the fight against cancer.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Donate to support the fight against cancer

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.594624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 48e59ee4-0184-4651-b048-d2f9adde57e7 · outbound

This paper cites Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c7f3e86a-0212-428e-a1fb-7be95636db80 · outbound

This paper cites Lan- guage models are few-shot learners.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Lan- guage models are few-shot learners

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:41.702336Z digest=sha256:ed2641b82e2415c51ec2b79ca23e2d182a2df1297afb4d1f635fd222f565be21

Observation 3431477e-a233-4a7d-831c-dd916182aa03 · outbound

This paper cites Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notes.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notes

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:41.706878Z digest=sha256:3bd7f676263506a8cbd3a6b97c949c6a2b3509601b8dfd0e96070b505ca8fb40

Observation 0c5da5d0-b350-4d61-90a5-265e4b549417 · outbound

This paper cites CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era

Reference 6

Resolution
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no resolver link, observed 2026-08-07T04:35:41.711143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:41.711143Z digest=sha256:fa49b5d37276c38b4c05753f89d65b2c62dc4615645634c2aa46d3e5a9cffb41

Observation 9d4c53e2-5ee9-4b89-871e-413a85f3d475 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Qlora: Efficient finetuning of quantized llms

Reference 7

Resolution
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no resolver link, observed 2026-08-07T04:35:41.715652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:41.715652Z digest=sha256:ab534018e9a5bf15b378baa20a227ee6a330543a9cbc6c5029ce591d7963ca39

Observation ab5296dc-b16e-4ec9-8ce3-3e5f0672602e · outbound

This paper cites pathclip: Detection of genes and gene relations from biological pathway figures through image-text contrastive learning.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework pathclip: Detection of genes and gene relations from biological pathway figures through image-text contrastive learning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.562472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2e4fa2b7-910c-405a-ae05-e13bf572406a · outbound

This paper cites ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 9

Resolution
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no resolver link, observed 2026-08-07T04:35:41.724572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:41.724572Z digest=sha256:62c01d46fc0443685b41592b9f605d2fa838fbd9c96a482c7bd34e5c97bb4acf

Observation 9d2ddd48-2839-4692-9af6-83ec24227d27 · outbound

This paper cites Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eee8b03a-c128-4077-bd62-7edc6884f2b5 · outbound

This paper cites Efficient fine-tuning of large language mod- els for automated medical documentation.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Efficient fine-tuning of large language mod- els for automated medical documentation

Reference 11

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c6654cc2-e6b6-4888-87cf-c5fe1baeb69a · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 12

Resolution
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raw_fallback, observed 2026-08-07T04:35:42.549980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation df21eaee-ab16-4dc2-b58e-0c261858c631 · outbound

This paper cites Improving Clinical Note Generation from Complex Doctor-Patient Conversation.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Improving Clinical Note Generation from Complex Doctor-Patient Conversation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:35:41.741056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:41.741056Z digest=sha256:7367ce7222db59eb6ea392885a0239fe3cf408d41af6b9e29d214e2c0b9aa1d5

Observation 5e18ed86-99b8-47d8-a878-70166fa5daa6 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Rouge: A package for automatic evaluation of summaries

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.537747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.745140Z digest=sha256:e1d5a43cb1c9da9dc5f1cc1849a0d6e23d74975408422da450785254cecda703

Observation fb76c24a-44d7-4a03-a347-18cdda76cea3 · outbound

This paper cites Melanoma - symptoms and causes, 2023.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Melanoma - symptoms and causes, 2023

Reference 15

Resolution
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raw_fallback, observed 2026-08-07T04:35:42.524813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 29780747-264f-4de1-93e2-081f2df9eeab · outbound

This paper cites Comprehensive cancer informa- tion.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Comprehensive cancer informa- tion

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.512192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.752724Z digest=sha256:9079b84e3674d056dc1639cd2181df6df9e35dd8912e8518ee5c6b7ecca78d05

Observation 3caa2e46-aaa6-4d83-98e5-8fabc3a50834 · outbound

This paper cites Melanoma skin cancer - symptoms.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Melanoma skin cancer - symptoms

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.499087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.756487Z digest=sha256:9322a31bab910ec7b04203b04fe602ea688a0d4c2f7de397ac9fc7e2a08117b8

Observation 6b64a410-d1f2-453b-8749-86d147ed6428 · outbound

This paper cites Pad-ufes-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Pad-ufes-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1b454179-4d38-476e-b4ee-243446b34afe · outbound

This paper cites chrf++: words helping character n-grams.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework chrf++: words helping character n-grams

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.472460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.764230Z digest=sha256:059c11f10e3e5172956a6543a74af7f4a2fb8c59c578c9c02efbc6de4441d087

Observation 307abef6-b9b8-4f22-8c75-e79a4f801669 · outbound

This paper cites Generating more faithful and consistent soap notes using attribute-specific parameters.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Generating more faithful and consistent soap notes using attribute-specific parameters

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.459368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.768638Z digest=sha256:3e77e3cfab3a9f6bfe1170507b287b22427ccdf30bc6a93bf53e190dd9c2b70c

Observation d3cf4d78-d6bc-47e3-bc9b-ea88779de469 · outbound

This paper cites Rogers, Martin A.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Rogers, Martin A

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.446712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ea87e32b-033e-4405-86da-e5a2135aa12c · outbound

This paper cites Towards an auto- mated soap note: classifying utterances from medical con- versations.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Towards an auto- mated soap note: classifying utterances from medical con- versations

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.433638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.775985Z digest=sha256:0bda4ee70a74efeee2506620f810ad92ae54977f12de62213a732f6d1b5cfdc4

Observation e819d121-030e-49af-966b-873d9c0a3e40 · outbound

This paper cites Large scale sequence-to-sequence models for clinical note genera- tion from patient-doctor conversations.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Large scale sequence-to-sequence models for clinical note genera- tion from patient-doctor conversations

Reference 23

Resolution
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raw_fallback, observed 2026-08-07T04:35:42.419802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.780081Z digest=sha256:d99525201d9fd0fea544d357425ea93b1c19a207b32cf85c516e59589407a8b0

Observation cac490c9-7c3e-40eb-96b3-e9e8adb3c6fa · outbound

This paper cites Large language models encode clinical knowledge.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Large language models encode clinical knowledge

Reference 24

Resolution
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raw_fallback, observed 2026-08-07T04:35:42.405023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.784699Z digest=sha256:c733271eba4f2e6818d2272ad259c9023a6d16bc6d7b0d81c4a05abb4cc525f8

Observation dd3245fd-21bc-41f4-b5dc-a4ec9878d5b3 · outbound

This paper cites Skin cancer diagnosis and treat- ment.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Skin cancer diagnosis and treat- ment

Reference 25

Resolution
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raw_fallback, observed 2026-08-07T04:35:42.391829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.789984Z digest=sha256:1c117d4d85f76382e86dc93e9363de8203806f0d13a3936fd91fbdff591e3bfa

Observation bef39a95-1b7c-4425-be81-42d5244228df · outbound

This paper cites Clinical text summarization: adapting large language models can outperform human experts.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Clinical text summarization: adapting large language models can outperform human experts

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.378394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.793831Z digest=sha256:8cf140154e0912c6ed163d84fa988b37795736ff9d1fc8c9f9e82b73b819bdb3

Observation 81643918-a637-4d92-b511-1f1ffad227af · outbound

This paper cites Artificial intelligence and skin cancer.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Artificial intelligence and skin cancer

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.364402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.797688Z digest=sha256:40bfbf65b5fb113fa64bee4df4464c56324b04a9d76dea4ef7053ce9654a5abd

Observation 0fed967c-d485-49fc-9283-0ca7fe6cd527 · outbound

This paper cites Large language model benchmarks in medical tasks.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Large language model benchmarks in medical tasks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T04:35:41.801900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:41.801900Z digest=sha256:97175fbf39d0fc776ad880fca6596a64c153b540f4a52beb067e7beb5cf27934

Observation dc7fab90-4325-4e30-a218-12f03f160b8a · outbound

This paper cites Large language models in health care: Development, applications, and challenges.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Large language models in health care: Development, applications, and challenges

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.350241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.805757Z digest=sha256:13a1cef042632db440a97f773bcfa5bf879bff75150b5e4a6b1000b15565f36a

Observation 4e04e3ff-85f6-4b36-8000-d14501908b7e · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework BERTScore: Evaluating Text Generation with BERT

Reference 30

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:41.809834Z digest=sha256:51a1fad09bcf009dc1a6e0e1c11e313b42b5a8c5f5154c06880ed8b9caae4c83

Observation ff14ff01-70fe-4378-9841-ab2e1d438516 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023

Reference 31

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:41.814078Z digest=sha256:dc2e2fea94d7f8406d7c25086d0f7eb98d5ea6756dbaaec70780c0c81ca314a3

Observation 9f290839-5934-437a-ab20-ad5d9682c9fd · outbound

This paper cites Pre-trained multimodal large language model enhances dermatological diagnosis using skingpt-4.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Pre-trained multimodal large language model enhances dermatological diagnosis using skingpt-4

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.327208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.817649Z digest=sha256:6223bddf5672f64da0d61809852ab588434896fce83c84b38f4914d59967cb02

Observation 44a60642-dc69-40f8-93da-f580df4841fb · outbound

This paper cites Structured SOAP note components.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Structured SOAP note components

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.312578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.821454Z digest=sha256:4520057ccd6a83868e46022191c5ee41aa045b4606327785d7ed5d99548e5891

Observation 4902c599-f20e-415d-bca5-c058cacfd2df · outbound

This paper cites Recent efforts have focused on generating clinical notes, especially SOAP notes, from Electronic Health Records (EHRs) and doctor-patient conversations.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Recent efforts have focused on generating clinical notes, especially SOAP notes, from Electronic Health Records (EHRs) and doctor-patient conversations

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.298794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.825171Z digest=sha256:4be27f02ea2fc1bb55c4d2d3ea329fa989f5ec29baaa37ecf26fb487c6e9d000

Observation 3cb43774-841c-4c57-b566-e3b236d339ce · outbound

This paper cites Similar work has explored domains like pediatric rehabilitation [1] and fine-tuning LLMs for effi- cient SOAP note generation [11].

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Similar work has explored domains like pediatric rehabilitation [1] and fine-tuning LLMs for effi- cient SOAP note generation [11]

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.283465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.829113Z digest=sha256:1dbdd8b56af1f0e6774549af44256e3b248684fac803f1f43a0dcd2c0946c6f9

Observation 004df79c-6468-400f-a776-6f4038748126 · outbound

This paper cites Dataset We use the PAD-UFES-20 dataset [18], which consists of 2,298 dermoscopic images along with structured metadata for 1,641 skin lesions collected from 1,373 patients.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Dataset We use the PAD-UFES-20 dataset [18], which consists of 2,298 dermoscopic images along with structured metadata for 1,641 skin lesions collected from 1,373 patients

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.269656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.833129Z digest=sha256:1103693cce2e20c443535f9d79816a7c1e30f3376262f7362c4ea8bbb3b3899d

Observation b3dab2ee-bda0-418c-9c42-dd5ee4d08afc · outbound

This paper cites carci- noma.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework carci- noma

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.256153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.838017Z digest=sha256:0a51d05a69720fa340d11804a887674a7f63644de06c5bdfe52dd5565788e37b

Observation c8b2bf5b-48e7-427f-8084-65f01a9f8ae1 · outbound

This paper cites These examples highlights how the framework is able to produce clinically structured documentation aligned with Figure 3.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework These examples highlights how the framework is able to produce clinically structured documentation aligned with Figure 3

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.242162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.841937Z digest=sha256:cc38ba9eda05c5ee9e51dde2ad2b0ba87c64d53f6d1d11486a24f69890c0c8f0

Observation 300a8467-ed67-4106-b86d-2c8772df3e5b · outbound

This paper cites The quality of the generated SOAP notes remains dependent on the accuracy of the retrieved domain-specific knowledge, which may introduce biases or propagate incomplete information.

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework The quality of the generated SOAP notes remains dependent on the accuracy of the retrieved domain-specific knowledge, which may introduce biases or propagate incomplete information

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:42.228138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:35:41.846259Z digest=sha256:45005463d0947b283eb9809373581051e68068513d06c3df792a5449c7b920e4

Pith citing papers

No inbound Pith citation observations are available.