Pith. sign in

Paper Citation Record · LEDGER

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral

As of 22 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2501.13247.

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

pith.paper-citation-record.v1
2501.13247 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:24:02.278457Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T04:45:22.224582Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T04:47:49.226934Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c8232ef-7baa-4225-aef1-579486026bb0 · outbound

This paper cites Prevalence and incidence of chronic wounds and related complications: a protocol for a systematic review,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Prevalence and incidence of chronic wounds and related complications: a protocol for a systematic review,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.834496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.116349Z digest=sha256:42604fa9ccaff3a9a11dcd7530fd041e8e177f6c32fb993efe101cad7a66c17d

Observation 0a9a4561-dbe0-4645-ad9c-37a28c37c272 · outbound

This paper cites Human wound and its burden: updated 2020 compendium of estimates,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Human wound and its burden: updated 2020 compendium of estimates,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.809626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.122327Z digest=sha256:0a0c5368a1c8e660adec0d71cab0f40a8dbdb0110e68796c067f2c5c3037c50d

Observation c1554fa6-2892-4463-8649-82be95bad37d · outbound

This paper cites Challenges in the treatment of chronic wounds,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Challenges in the treatment of chronic wounds,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.793989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.128451Z digest=sha256:a879243a16eface273f0ecd9a9f1fb645af9cc2b41b0443a031bdf94123a4345

Observation d52d8a0a-a6bb-485d-91a7-eff2bbe51c49 · outbound

This paper cites Human wounds and its burden: an updated compendium of estimates,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Human wounds and its burden: an updated compendium of estimates,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.777857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.134003Z digest=sha256:acacaafb77f80669db21f92d2cd68bf2a2ced9bd4336e19e09f25d6df294cc44

Observation fa9e1a91-f417-4953-aa09-47fc4e8e0780 · outbound

This paper cites Machine learning models for synthesizing actionable care decisions on lower extremity wounds,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Machine learning models for synthesizing actionable care decisions on lower extremity wounds,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.761484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.140547Z digest=sha256:c2013fb01b798cda4f7301d0c16cb6acbab6898325c5b3f99207d5663a289195

Observation e6883009-23f5-43b3-803b-724cafa80631 · outbound

This paper cites The humanistic and economic burden of chronic wounds: a protocol for a systematic review,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral The humanistic and economic burden of chronic wounds: a protocol for a systematic review,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.745689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.146113Z digest=sha256:e52ba76200aaedbcebe254bee6dcecddfe96f595ce31cefa1c053049079f5e35

Observation e33bb92d-62fe-47ca-b53f-8f34a4ee2a8c · outbound

This paper cites A prospective, multicenter study to validate use of the push in patients with diabetic, venous, and pressure ulcers.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral A prospective, multicenter study to validate use of the push in patients with diabetic, venous, and pressure ulcers

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.728973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.151900Z digest=sha256:695335d60fd8334d89901599dc8715929051e266089850da037cbd286f338c64

Observation f76ee48c-c168-427f-904e-c133ba845108 · outbound

This paper cites A survey of wound image analysis using deep learning: Classification, detection, and segmentation,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral A survey of wound image analysis using deep learning: Classification, detection, and segmentation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.687871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.164020Z digest=sha256:9eb3bf70da267d6159a5873d7ee99fea2930c8596908cfcb9c71bd6eb3dd8313

Observation 152543d7-b4f2-4618-bb2f-116d89d8b354 · outbound

This paper cites Multiclass wound image classification using an ensemble deep cnn-based classifier,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Multiclass wound image classification using an ensemble deep cnn-based classifier,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.671114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.168545Z digest=sha256:96bd9c2d440e95d72ac4dca6ab977814392e690bb4035e933bfda107285465d7

Observation 22cf8090-4012-4bcc-95ce-22d2b1e7cbeb · outbound

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

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T16:24:02.173153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:24:02.173153Z digest=sha256:d3fa2c0c83bd3b5d7b34726d26683457a5d1f6fb75a79c9e719b1549543ad7f4

Observation 5f878c9e-5c54-42f0-9a9c-8c633eaf69cb · outbound

This paper cites Vision transformer based diabetic foot-ulcer detection: A study,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Vision transformer based diabetic foot-ulcer detection: A study,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.654985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.178787Z digest=sha256:1f7a4be3704792af073bc10f1abdd64f3e040c7c550dc2cb68710c1e172233c9

Observation 6aa5138d-9bbf-4d00-865f-20c73a065702 · outbound

This paper cites Computational phenotype discovery using unsupervised feature learning over noisy, sparse, and irregular clinical data,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Computational phenotype discovery using unsupervised feature learning over noisy, sparse, and irregular clinical data,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.639622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.183304Z digest=sha256:71b86945baec784b78ec6a4f27366b69cb1953ca13077b5e2799656ab4ce07bb

Observation 554cba9c-a490-45d7-a06e-2307a7566c5e · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T16:24:02.187566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:24:02.187566Z digest=sha256:465a41c460c64306ccd506fe6168e909d16bcc3b1fe86a2ea6800458df07d110

Observation 837b280b-2182-42e1-9f2c-97e537766a29 · outbound

This paper cites Multimodal healthcare ai: identifying and designing clinically relevant vision-language applications for radiology,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Multimodal healthcare ai: identifying and designing clinically relevant vision-language applications for radiology,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.621678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.192166Z digest=sha256:169c8b4c4f9d81be0603e71b4f308690b3c4209d71b775a0a119aab907b0c482

Observation 5e0d61e0-28b9-4947-ad3b-208eb1ed0420 · outbound

This paper cites Vision-language models for medical report generation and visual question answering: A review,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Vision-language models for medical report generation and visual question answering: A review,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.604688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.196680Z digest=sha256:07e6e7f6f49dbc2adc96e7afe496f3d824e7b69e5c207d7a4e867d7186739de2

Observation 8ea9ad65-549f-43e6-ae45-01000c4fed09 · outbound

This paper cites Design of a machine learning system for prediction of chronic wound management decisions,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Design of a machine learning system for prediction of chronic wound management decisions,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.587228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.201577Z digest=sha256:12e9c82f5050f0c7cb8f22b873f7da8d9c379a1fe5ffdbdf5ffbb0b783cce6b2

Observation 9b30b9e7-7e89-4bcb-b3b6-8446e4b540e4 · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Training data-efficient image transformers & distillation through attention,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.570779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.206154Z digest=sha256:50402828e5cbcec243632ff760e32ac3021490226ce10c86eec32da23b98004c

Observation 47afe64d-2ec5-4ea4-9262-dd0a00aa24dc · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T16:24:02.211511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:24:02.211511Z digest=sha256:8763c07ffcf262d1a3836d65a58b4648b19fbddaf29ff13494d66711ad2b510e

Observation 04b0e1f5-54dd-4cab-a973-c125c574c6ee · outbound

This paper cites Development, validity, reliability, and responsiveness of a new leg ulcer measurement tool,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Development, validity, reliability, and responsiveness of a new leg ulcer measurement tool,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.554749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.218065Z digest=sha256:756493e94877ba978d0deac13ede955ec0a82e24b36e6ece9ac4a174ceaedef7

Observation 88275a90-e9d5-4fe5-ad4b-c79d5bc8a9e7 · outbound

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

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T16:24:02.223501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:24:02.223501Z digest=sha256:519dd1fab39146c3b78e2dd08c17f65af61c57adc9bed695df333a801e043878

Observation c3767eb3-0e91-4de7-875a-ad1fac117d77 · outbound

This paper cites Data augmentation for skin lesion analysis,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Data augmentation for skin lesion analysis,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.538159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.231202Z digest=sha256:fa841c53bd91e06c3c4be0d56423321b4b7ffdd2e0d61d9e88869359bee9af2a

Observation efd63d26-03a2-4251-9820-ec57c88259aa · outbound

This paper cites Gpt-4 technical report,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Gpt-4 technical report,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.521576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.236436Z digest=sha256:7cd902084d0a8321b65e8b7ec74817578302988942066f283e7c301f679571ef

Observation 5f101474-74a3-4b6e-b55d-47bb1f6ba4a1 · outbound

This paper cites Reliability and validity of the revised photographic wound assessment tool on digital images taken of various types of chronic wounds,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Reliability and validity of the revised photographic wound assessment tool on digital images taken of various types of chronic wounds,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.711435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.241407Z digest=sha256:ba174070ec4b76e3f859caca66c9e305bb13df2aed1184aef6b787437c765795

Observation e4d2ef5c-b2df-4841-b453-14c27593325d · outbound

This paper cites Data-efficient image transformers (deit) - keras example,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Data-efficient image transformers (deit) - keras example,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.504137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.246232Z digest=sha256:412ce2b4facdf2d6a4e017056f25a4109ad9a5b1a9f26a1c813087c22c0e3f80

Observation a52dcff3-93db-456b-997c-ddc527b6d73c · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral mixup: Beyond Empirical Risk Minimization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T16:24:02.252653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:24:02.252653Z digest=sha256:91a6534137b2c1023f29db448bc335ae0071681f709602db55800399dd713ccb

Observation e48ddefa-a93d-4e46-b8f9-0e892a024110 · outbound

This paper cites Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.487806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.257829Z digest=sha256:893ebb766dd7966905a18dbbbfc5a608383cfc43b007bb3c466f4cab07f0424b

Observation 2537c9bb-f836-44fe-9ad0-6727fe0c6a9d · outbound

This paper cites Random erasing data augmentation,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Random erasing data augmentation,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.471079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.262885Z digest=sha256:0869eee21613dbd99d22a1b2380f95a48432d7d60df3e5d8aaefda7b5a3b0ece

Observation 5b69004c-0ba9-48b4-bf08-7ac44cd4f49a · outbound

This paper cites Limitations of Language Models in Arithmetic and Symbolic Induction.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Limitations of Language Models in Arithmetic and Symbolic Induction

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T16:24:02.268020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:24:02.268020Z digest=sha256:5997dea9d1c3fd7c09bc77050504342f66cf7473894d4340f6dd03fb8f0ce8dc

Observation 9f96b791-6777-4fd5-bc63-da04c9d8da3d · outbound

This paper cites Deep learning of brain lesion patterns and user-defined clinical and mri features for predicting conversion to multiple sclerosis from clinically isolated syndrome,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Deep learning of brain lesion patterns and user-defined clinical and mri features for predicting conversion to multiple sclerosis from clinically isolated syndrome,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.454305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.273414Z digest=sha256:9a1287108160796c47f60dd19a209ec53ed9ca55cc8938172c44c4d8119d9404

Observation a18b8f87-9848-48e4-b639-3cf9945c72ec · outbound

This paper cites Chronic wound image augmentation and assessment using semi- supervised progressive multi-granularity efficientnet,.

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral Chronic wound image augmentation and assessment using semi- supervised progressive multi-granularity efficientnet,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:24:02.436295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T16:24:02.278457Z digest=sha256:88c387434eab1b40c0a193faf073e0c90fbdb903496b5e7f205fd8344ecdc207

Pith citing papers

Observation a0d6e24d-a56a-4fd9-9dee-b044edb796de · inbound

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring cites this paper.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-11T04:47:49.233361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T04:45:22.224582Z digest=sha256:5cb70206bb8c5cec65f53183cfa830c9e38275c828569e84aacce60dedfe1565