Paper Citation Record · LEDGER

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework

As of 7 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 2026-08-07T06:34:17.273281+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

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

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:41.688374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-07T06:34:17.273281+00:00.

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

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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

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:41.702336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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

Source-reported events for the cited work

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:41.728514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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: unresolved; no resolver link, observed 2026-08-07T04:35:41.732687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-07T04:35:42.485696Z

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 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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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

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Source-reported events for the cited work

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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 2026-08-07T06:34:17.273281+00:00.

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: unresolved; no resolver link, observed 2026-08-07T04:35:41.809834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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: unresolved; no resolver link, observed 2026-08-07T04:35:41.814078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.