{"as_of":"2026-08-10T08:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:73f87547be3f5b7137b407bad44dc9b6d2e08263858f75f6e9f799b0594bf64e","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T23:11:21.288080Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T09:18:25.640217Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.18670","snapshot_observed_at":"2026-07-14T09:18:25.640217Z","title":"High-accuracy ecg image interpretation using parameter-efficient lora fine-tuning with multimodal llama 3.2,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10784","last_updated":"2026-07-12T14:23:51Z","snapshot_observed_at":"2026-08-10T04:05:45.956912Z","submitted_at":"2026-07-12T14:23:51Z","title":"LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-14T09:18:25.640217Z"},"links":{"cited_paper":"/paper/2501.18670","citing_paper":"/paper/2607.10784"},"observation_digest":"sha256:f8a5668ded1a476eba22ee9101ba644b5dd9dc940e9a3c7f7af605c514a47d86","observation_id":"41137091-e0a6-4331-925b-d490691a5774","resolution":{"observed_at":"2026-07-14T09:18:25.640217Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.18670/citation-record","integrity":"/paper/2501.18670/integrity","json":"/paper/2501.18670/citation-record.json","paper":"/paper/2501.18670"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.19008","last_updated":"2024-10-21T20:26:41Z","snapshot_observed_at":"2026-08-06T08:38:17.670163Z","submitted_at":"2024-10-21T20:26:41Z","title":"Teach Multimodal LLMs to Comprehend Electrocardiographic Images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.19008","snapshot_observed_at":"2026-08-09T23:11:21.170806Z","title":"arXiv preprint arXiv:2410.19008, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.170806Z"},"links":{"cited_paper":"/paper/2410.19008","citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:e22f5db6096e8429a2b392dad666e83edbd0656fae76867cd94b8ee69a3093cc","observation_id":"7112ccb6-b797-4d50-be3b-5d8b75a89f8d","resolution":{"observed_at":"2026-08-09T23:11:21.170806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.680917Z","title":"Flamingo: a visual language model for few-shot learning","venue":null,"work_id":"1aa4e04c-b7ab-4a8a-9555-63e636de5a4b","year":2022},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.175403Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:69b10e15c7a91b508aca7b5d946a5b497f3189f54cf8280349a39ba2affe29d7","observation_id":"99a7d437-ada4-4657-9f5c-cf31b34c18ce","resolution":{"observed_at":"2026-08-09T23:11:21.684815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.669829Z","title":"Ahmed and Christian Mallen and Chun Shing Kw ok Misdiagnosis of Heart Failure: A Systematic Review of the Li terature In Journal of Cardiac Failure , 2021","venue":null,"work_id":"1d6c50f7-817a-4fc2-841d-c437caf88256","year":2021},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.178744Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:d47322a39196241ee8317df636281884c5c727d618f7d8a3a3e46ef38029bf6e","observation_id":"edf25667-678d-46ca-8cc0-316ed3b7d256","resolution":{"observed_at":"2026-08-09T23:11:21.673779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.659163Z","title":"Training dee p nets with sublinear memory cost","venue":null,"work_id":"22c90fd4-c450-4308-af58-de57e0cffd06","year":2016},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.182637Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:c959efee0ff602cf0a6de2987b593bae15074db1326bef26bcc2feb44cd32578","observation_id":"2812b87c-042d-4eb2-9960-00e30952436a","resolution":{"observed_at":"2026-08-09T23:11:21.663042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.09617","last_updated":"2023-05-16T17:11:29Z","snapshot_observed_at":"2026-08-03T08:52:05.725675Z","submitted_at":"2023-05-16T17:11:29Z","title":"Towards Expert-Level Medical Question Answering with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.09617","snapshot_observed_at":"2026-08-09T23:11:21.186219Z","title":"Sara Mahdavi, Joelle Barral, Dale Webster, Greg S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.186219Z"},"links":{"cited_paper":"/paper/2305.09617","citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:c9a2b2dc0119b69c61bda35f7343d567ca4ddd930193e3e0ce300daa8e86ce00","observation_id":"b00a6519-a452-4b63-95ee-058a45f75fb9","resolution":{"observed_at":"2026-08-09T23:11:21.186219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.648647Z","title":"An image is worth 16x16 words: Transformers for image r ecogni- tion at scale","venue":null,"work_id":"c2329ada-d0ac-4124-8c5c-9ba7d0e3e178","year":2020},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.190461Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:d059e94d00dfe09edce633c865de95bc1ae1b5532bf01a297cca937c0af7fe3d","observation_id":"36a89338-0f8b-4272-bb8d-a02ffd2412d8","resolution":{"observed_at":"2026-08-09T23:11:21.652293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.638532Z","title":"An introduction to ROC analysis","venue":null,"work_id":"b44f82d4-12c6-41e3-a084-f421cc7a117c","year":2006},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.194279Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:1e5d42ef7bb2a659791bf44eb972e4e817692e03b4e85a299f6bc84f30f3237b","observation_id":"aac1903e-146b-4b82-a24f-e083467fad14","resolution":{"observed_at":"2026-08-09T23:11:21.642337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.627732Z","title":"Making the v in vqa matter: Elevating the role of image understandin g in visual question answering","venue":null,"work_id":"3f645e92-70bb-49a5-ae88-190a02348526","year":2017},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.197472Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:9981f73898db5b4b9d342babb54e8ea6538bbec8fb87fd55c055e5fbc3c6e7a0","observation_id":"d1c69d10-2068-4f95-978c-91b9d397818b","resolution":{"observed_at":"2026-08-09T23:11:21.631608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.617230Z","title":"Y .; Rajpurkar, P .; Haghpanahi, M.; Tison, G","venue":null,"work_id":"70be080c-850a-410a-8328-4f569ab6870a","year":2019},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.201047Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:46cc498b3054b33376699bd167aed32d262696ed6ef7b54cd4d87755a360db35","observation_id":"058d8d7c-4bc9-4fe5-8f60-49c71bc0705c","resolution":{"observed_at":"2026-08-09T23:11:21.620720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.606948Z","title":"J; Shen, Y .; Wallis, P .; Allen-Zhu, Z.; Li, Y .; Wan g, S.; Chen, W.; Wang, Z.; and Chen, X","venue":null,"work_id":"64cf5f1b-e5fb-450b-bced-4e51bdac0571","year":2022},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.204251Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:ef1481c98558181a135861edf9936ffe8aad750d10d23444fb3fc8f54ed9045f","observation_id":"5b47d38b-0bda-4b9c-9929-6b0510af17a8","resolution":{"observed_at":"2026-08-09T23:11:21.610753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.13701","last_updated":"2020-04-28T17:55:17Z","snapshot_observed_at":"2026-08-09T10:57:36.705844Z","submitted_at":"2020-04-28T17:55:17Z","title":"Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL","version":1},"cited_work":{"arxiv_id":"2004.13701","doi":null,"metadata_source":"pith","pith_arxiv_id":"2004.13701","snapshot_observed_at":"2026-08-09T23:11:21.345660Z","title":"Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL","venue":"cs.LG","work_id":"2b735c04-7aa8-4f54-9ccf-aaed5bd73cc4","year":2020},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.207479Z"},"links":{"cited_paper":"/paper/2004.13701","citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:b78a6aee829fe5c429b46250f319eb9e95615e424109a1c3950eb376d60cfbb0","observation_id":"1d5f2b9a-dee8-48a2-a68c-09b4b08712be","resolution":{"observed_at":"2026-08-09T23:11:21.352329Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.12322","last_updated":"2019-06-13T17:55:30Z","snapshot_observed_at":"2026-08-04T04:17:53.148033Z","submitted_at":"2019-05-29T10:50:32Z","title":"A Study of BFLOAT16 for Deep Learning Training","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.12322","snapshot_observed_at":"2026-08-09T23:11:21.211224Z","title":"Kurkure, S.; et al","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.211224Z"},"links":{"cited_paper":"/paper/1905.12322","citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:3ff6ec4fe7b8d7a991259362a0c650ae6e27aad1101dbb4669c19b3d3cf692d8","observation_id":"2c4062f5-aa82-4cb2-81e8-57084c0bed8a","resolution":{"observed_at":"2026-08-09T23:11:21.211224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00890","last_updated":"2023-06-01T16:50:07Z","snapshot_observed_at":"2026-08-09T05:23:28.778360Z","submitted_at":"2023-06-01T16:50:07Z","title":"LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00890","snapshot_observed_at":"2026-08-09T23:11:21.214789Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.214789Z"},"links":{"cited_paper":"/paper/2306.00890","citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:6d32871b9e6411c3dd26aa2117c6cb95f653c6769c55e53b35f92a17553b8b49","observation_id":"2e5c77a6-378c-4525-b0ea-a7e37f92d732","resolution":{"observed_at":"2026-08-09T23:11:21.214789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18416","last_updated":"2024-05-01T17:12:10Z","snapshot_observed_at":"2026-07-06T18:06:49.190172Z","submitted_at":"2024-04-29T04:11:28Z","title":"Capabilities of Gemini Models in Medicine","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.18416","snapshot_observed_at":"2026-08-09T23:11:21.218172Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.218172Z"},"links":{"cited_paper":"/paper/2404.18416","citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:7ec45feb2955105d08d7bb2ea1aa103041ffd4af80a753105ad2406d480961ba","observation_id":"8768bf4c-0827-45b3-bfee-f3fa0a3e5b0a","resolution":{"observed_at":"2026-08-09T23:11:21.218172Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.595868Z","title":null,"venue":null,"work_id":"4df39d8f-c1ab-4aca-b331-87bf906e5272","year":null},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.221801Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:8d499269a2a356ba996f1bc2400a92c95773004eba60b00b8aa531448c4c163e","observation_id":"a08f0b3e-c1aa-4bad-80c7-d3a7ea05e621","resolution":{"observed_at":"2026-08-09T23:11:21.599530Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.585572Z","title":"https://openai.com/policies/ service- terms/,","venue":null,"work_id":"708a836a-20e9-43f7-899c-44e39bea6c17","year":null},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.225592Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:60e02466a4452fe17742c4643c83cbcab572253e80ce47ab0a425bffffe2895a","observation_id":"78ed906f-b33c-4d94-9c90-fda25a428041","resolution":{"observed_at":"2026-08-09T23:11:21.589517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.574273Z","title":"Model https://github.com/meta-llama/llama -models/blob/ main/models/llama3 1/MODEL CARD.md/, 2024","venue":null,"work_id":"2d62eea2-794e-4ff2-8129-6e2854ed61aa","year":2024},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.229119Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:1ce8bce0b00072836a5a25f4e7d5ec5bfeea930b5658e31609071e2ba8107376","observation_id":"994e0782-9ebc-4bad-bc90-d4c3c0a0a141","resolution":{"observed_at":"2026-08-09T23:11:21.578837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.563066Z","title":"and Hutter, F","venue":null,"work_id":"84ad5ff4-efdc-4c9c-8aa8-c8972b2580b3","year":2016},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.232452Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:b9815817d722a6aab5a4d33876030dfd2586fb1bcdb0b49cda574d2338608fbb","observation_id":"0f2192aa-febd-463c-b91d-ecf75faa1323","resolution":{"observed_at":"2026-08-09T23:11:21.567042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.551818Z","title":"J.; Tan, B.; Bansal, M.; Zeng, H.; Li, L.; and V asco ncelos, N","venue":null,"work_id":"b22becdb-229b-4d1a-9447-d7cee186b7eb","year":2019},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.235667Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:e38ad7caa48d828f2caf724952bb51af9ec764788e9df8350dc1e95a3b452f90","observation_id":"904c5a96-770a-44c6-8205-cac6075652a7","resolution":{"observed_at":"2026-08-09T23:11:21.555733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.541425Z","title":null,"venue":null,"work_id":"165dbebe-c790-4de3-8c0a-b3147db63138","year":2001},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.238813Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:2b2c3c0a526919888bbb112c5d9959b55959c32a98aceaa99be85785662d0079","observation_id":"7157a05e-4934-4568-a0c7-668c210845fd","resolution":{"observed_at":"2026-08-09T23:11:21.545078Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.529137Z","title":null,"venue":null,"work_id":"33d0e10a-1b87-479f-b5c0-045ce31f7073","year":2024},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.242191Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:2fef603475818c8a8cdad39c9e1302bd428070b25f4a59102c8d6de37369e71f","observation_id":"fb01c9e4-a3f5-4b38-9395-fb09782b8c5a","resolution":{"observed_at":"2026-08-09T23:11:21.533218Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.516352Z","title":"Language models are unsupervised multitask learners","venue":null,"work_id":"ac410558-62d1-4a9e-b019-8a4e175008f6","year":2019},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.245237Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:2148488332ae1d835742879e9c73b8c4b47d1699ff88d9c783b3c0969505dff5","observation_id":"0e6b7687-b330-472a-adc8-f32cff97321d","resolution":{"observed_at":"2026-08-09T23:11:21.521084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.505264Z","title":"Zero: Memory optimizations toward training trillion parameter models","venue":null,"work_id":"4333764b-d412-4793-a44e-5fc4bf520ee6","year":2020},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.248261Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:d97daa09f325d31c98f0cd34aa3afe35498cc20db0611a90d0638a44640ff278","observation_id":"4f1d381f-53d5-499c-999e-467e75de9c0c","resolution":{"observed_at":"2026-08-09T23:11:21.509790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.494479Z","title":"Deep Speed: System optimizations enable training deep learning models with ov er 100 billion parameters","venue":null,"work_id":"0098f241-f0ef-4c1c-a6c9-713884e15672","year":2020},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.251417Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:5ca757237e59e6297418c8b5fc73290455d102e1b1307ad2c92ce4330c71f450","observation_id":"7da1f682-8cd5-4a12-b8db-942bb282060c","resolution":{"observed_at":"2026-08-09T23:11:21.498098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.484346Z","title":"Computerized el ectrocardiogram interpretation: a critical review","venue":null,"work_id":"b436254c-8bb3-4718-9216-c5a101114005","year":1980},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.254441Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:2ba0b61efffc3986daed2a9a1fd832795a7be84862a0547303297f7579cb2973","observation_id":"083d173a-d036-44b8-938c-151307406cee","resolution":{"observed_at":"2026-08-09T23:11:21.488277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.474457Z","title":"H.; Ribeiro, C","venue":null,"work_id":"cab82593-48df-4d99-a3be-aa5cd711958a","year":2020},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.257717Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:6680537eb6ad785e7fa34f4c339b0bae7af448dbd5be2268342e7003cf6f1cca","observation_id":"5e4318ef-d11c-4ab9-95c7-6b19262635ec","resolution":{"observed_at":"2026-08-09T23:11:21.477539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.464959Z","title":"E.; Bulgarelli, L.; Shen, L.; Pollard, T.; M ark, R","venue":null,"work_id":"21da1a74-9ce4-4501-abb5-4888f3625c47","year":2023},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.261033Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:b0eb6c7044ef0b5d4b696fce3f8b739716798b2bd4086d894029d95d52527a93","observation_id":"0ee21e3a-3959-4add-a00b-7e1d10bc3da9","resolution":{"observed_at":"2026-08-09T23:11:21.468390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.454451Z","title":"Oikonomou, Lo vedeep S","venue":null,"work_id":"10b96080-b2be-41b4-b17b-7f42f51ca0dc","year":null},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.264347Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:6e895c9fb411845af8fae3173f017c09e10de9ed5268acb43d3537dfec34f5c9","observation_id":"6c5bb920-6791-4f4e-a8e1-f82dad3f22f8","resolution":{"observed_at":"2026-08-09T23:11:21.457780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.444775Z","title":"V .; D¨ orges, V .; Bobinger, T.; B¨ ottinger, M.; Breitkopf, C.; Diez, C.; Dittrich, P .; Ebrahimi, F.; Ell inger, K.; et al","venue":null,"work_id":"bc4062f2-e975-4705-95fb-a1c8c8e0e579","year":2021},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.267607Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:67623519069d7ed2473f7c1ff18f4498990331d05f37016f29ae3cf75fe3385a","observation_id":"46db3a56-e0a9-4d37-a26c-52a52acdb41f","resolution":{"observed_at":"2026-08-09T23:11:21.448358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.433551Z","title":"and Khoshgoftaar, T","venue":null,"work_id":"33f25232-7eb2-404d-a917-1e085e9326f6","year":2019},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.271378Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:c0ee9d218d57b86679884293fd969b7c2ef1419a9cc7c1d1c36f308801248c77","observation_id":"f6eb170b-42de-43d3-9ca2-766f224fb493","resolution":{"observed_at":"2026-08-09T23:11:21.437116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.422694Z","title":"Comparison of Vision Transformers and Convolutional Neura l Networks in Medical Image Analysis: A Systematic Review Med Syst","venue":null,"work_id":"3768cbd8-060f-492a-93d7-ed363b6b0bfb","year":2019},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.274512Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:a1956c1d468da50e553e9a0ed02f26faab19553635a017eaaa0a2d9073cb6dbe","observation_id":"445c00e1-5017-4445-b65d-635da8164ce7","resolution":{"observed_at":"2026-08-09T23:11:21.426352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.412313Z","title":"N.; Kaiser, Ł.; and Polosukhin, I","venue":null,"work_id":"a93960b8-73f8-4384-9bb6-7400be6d88aa","year":2017},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.277625Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:e041096a375e4b2d79090b69d59337662fd2a673181ebeab8f12c39b41dcaeeb","observation_id":"e8238803-f686-4933-b3f1-0c1350edc455","resolution":{"observed_at":"2026-08-09T23:11:21.415741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.402572Z","title":"F.; Butter, C.; et a l","venue":null,"work_id":"e385c083-2fdf-4737-81b4-067773d1666b","year":2020},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.280945Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:0303fc713d743f83cb0ecab138da069fb132b01b6ae6fd8adf05a688272151e6","observation_id":"9bf70311-aa87-4197-879b-c46bded66b77","resolution":{"observed_at":"2026-08-09T23:11:21.405968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.390423Z","title":"Lawrence Zitnick, Devi Parikh VQA: Visual Qu estion Answering In IEEEInternational Conference on Computer Vision (ICCV)","venue":null,"work_id":"c9c26fa9-e1fd-45d5-99d9-eb2fdd77c0bb","year":null},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.284786Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:1b300f495b9fe3f38f4bd2459ec44fcc553b6c320121955cbebd1d2305db4369","observation_id":"a23999f3-d6b2-4d06-8f39-a6b72b7a09d6","resolution":{"observed_at":"2026-08-09T23:11:21.395783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:21.379760Z","title":"Imagen et classification with deep convolutional neural networks","venue":null,"work_id":"7b1d7812-1f82-438e-b41f-9821d0c9d495","year":2012},"citing_paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:21.288080Z"},"links":{"citing_paper":"/paper/2501.18670"},"observation_digest":"sha256:02a311086ba6187b8a997ddc3df52fbe362111a5b3dd2c4c60f27061e445ff91","observation_id":"aa057aca-1a90-4eaf-99ec-4669f36675fd","resolution":{"observed_at":"2026-08-09T23:11:21.383367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.18670","last_updated":"2025-01-30T17:55:27Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T04:05:45.517603Z","submitted_at":"2025-01-30T17:55:27Z","title":"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":1,"verified_fuzzy":26},"total_outbound_references":35},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2501.18670."}