{"as_of":"2026-08-19T14:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f164212070eb3a345c672eb6083c9dcfbdce84a808a22bbf6eb8d7bb60bd390f","coverage":[{"denominator":80,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":80,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T18:18:13.161406Z","state":"measured"},{"denominator":80,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":80,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2412.08116/citation-record","integrity":"/paper/2412.08116/integrity","json":"/paper/2412.08116/citation-record.json","paper":"/paper/2412.08116"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T18:18:14.069653Z","title":"Emotion recognition in speech using cross- modal transfer in the wild","venue":null,"work_id":"cbb69c34-768b-4d37-8d73-d1fab6f9a0f6","year":2018},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.821575Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:cfa0ea648a42e3539a51a67c82f52ac4f0ad26e2814931d64eea30813b540ca9","observation_id":"0401568c-8459-4a2d-8744-0f6ffbdde0d0","resolution":{"observed_at":"2026-08-11T18:18:14.073542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:14.057786Z","title":"Wasserstein generative adversarial networks","venue":null,"work_id":"4457475d-75ef-4039-b084-18300e86a782","year":2017},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.825910Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:61ea3f6145be58bee5f1f3019ff3e84fa6f0a558961fdc0a973033873fce0314","observation_id":"d79f6f67-9197-4b59-b490-35737355d2d3","resolution":{"observed_at":"2026-08-11T18:18:14.062301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08466","last_updated":"2023-04-17T17:42:29Z","snapshot_observed_at":"2026-08-16T15:39:49.435275Z","submitted_at":"2023-04-17T17:42:29Z","title":"Synthetic Data from Diffusion Models Improves ImageNet Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08466","snapshot_observed_at":"2026-08-11T18:18:12.831457Z","title":"Synthetic data from diffusion models improves imagenet classification","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.831457Z"},"links":{"cited_paper":"/paper/2304.08466","citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:af6967138a2c887b4717aeb3dc41df5da227c29135527c38ac9d9b0ccaf27b34","observation_id":"b3366f79-7b33-48ef-a6e5-0e24a355e34d","resolution":{"observed_at":"2026-08-11T18:18:12.831457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.03126","last_updated":"2022-03-16T01:35:49Z","snapshot_observed_at":"2026-08-19T11:18:09.510151Z","submitted_at":"2021-12-06T15:55:30Z","title":"Label-Efficient Semantic Segmentation with Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.03126","snapshot_observed_at":"2026-08-11T18:18:12.836745Z","title":"Label-efficient se- mantic segmentation with diffusion models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.836745Z"},"links":{"cited_paper":"/paper/2112.03126","citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:01f5aa6205741888840f9a6c9688e00031862c24cf1a4536f8fbf0e0a684676e","observation_id":"160d2fc7-208e-4314-976a-3ac5110b3855","resolution":{"observed_at":"2026-08-11T18:18:12.836745Z","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":"2026-08-11T18:18:14.045726Z","title":null,"venue":null,"work_id":"cb66ffe1-64d0-46b0-b4e4-f66ee87c858c","year":2020},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.841723Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:4bba9a49f72a73662249053f62ca73f9e3df5c2d9bfa96ffe0f837d7885bc524","observation_id":"f02f9881-89ea-4b47-b37a-bf7cfb007799","resolution":{"observed_at":"2026-08-11T18:18:14.049640Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:14.034186Z","title":"Data-free learning of student networks","venue":null,"work_id":"48f3b62c-6412-4227-8532-e57413841218","year":2019},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.846738Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:058862fdcbacf4715b45f25acc4d3c68d0f734533ec23b8516df577cf581b9c8","observation_id":"1e37a23d-662b-4dbe-8a8a-e284499de31f","resolution":{"observed_at":"2026-08-11T18:18:14.038911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04607","last_updated":"2024-02-17T01:43:45Z","snapshot_observed_at":"2026-08-19T13:12:17.616204Z","submitted_at":"2023-06-07T17:17:58Z","title":"GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.04607","snapshot_observed_at":"2026-08-11T18:18:12.851019Z","title":"Geodiffusion: Text- prompted geometric control for object detection data gen- eration","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.851019Z"},"links":{"cited_paper":"/paper/2306.04607","citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:1b1699400b468b2ca485e3619f0e428f4cf1b80b6ec456651ad986f6f4435293","observation_id":"9488dd0b-5b3c-4bc6-9086-d7fb22465234","resolution":{"observed_at":"2026-08-11T18:18:12.851019Z","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":"2026-08-11T18:18:14.023086Z","title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","venue":null,"work_id":"0b1dff6a-d396-4a7e-8f2f-569cd5529d77","year":2018},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.855138Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:62a3a57b68f7a443d8ff60e38bf24e5bb38197a7a720f587a1f296ba4c5f4cce","observation_id":"74390ea9-3229-48d1-af8e-2be1d91ddb05","resolution":{"observed_at":"2026-08-11T18:18:14.027212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:14.012219Z","title":"Distilling knowledge via knowledge review","venue":null,"work_id":"7421f6a7-f02c-42fa-8c38-c68bcd6b9d98","year":null},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.858905Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:2a0989a8b137029fd5d3723f52f072ff4dacd84267f44f6fc755bc6ece06edd4","observation_id":"19eac931-8aa1-46a1-9198-6536ae57aba5","resolution":{"observed_at":"2026-08-11T18:18:14.016484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.10972","last_updated":"2023-05-21T07:07:55Z","snapshot_observed_at":"2026-08-17T13:04:22.753084Z","submitted_at":"2023-01-26T07:37:22Z","title":"On the Importance of Noise Scheduling for Diffusion Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.10972","snapshot_observed_at":"2026-08-11T18:18:12.862918Z","title":"On the importance of noise scheduling for diffu- sion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.862918Z"},"links":{"cited_paper":"/paper/2301.10972","citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:61bdeff5d85421fbbaf5197d7c838154fd81ff5ff6a0ffdc654837e873828517","observation_id":"b16fbc1c-6d38-4af9-a44e-840693e39ef1","resolution":{"observed_at":"2026-08-11T18:18:12.862918Z","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":"2026-08-11T18:18:14.001339Z","title":"A generalist framework for panoptic segmen- tation of images and videos","venue":null,"work_id":"367a41fe-6506-4536-92cf-5f4482d50688","year":2023},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.867364Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:f0b55e31690afcc7448ffd5b1ddc5e847120a240f11b5be70eac0fbdb333e71e","observation_id":"af3ca98a-95fc-44e8-a23f-fc1e653d94c6","resolution":{"observed_at":"2026-08-11T18:18:14.005394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.989054Z","title":null,"venue":null,"work_id":"945459e6-1408-45ee-b9a9-78b9deb531af","year":2020},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.871534Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:db988679e076e1e7309dd297b74f16b1f971cf0cadba6ac4feff9426947cd31d","observation_id":"12cda328-c6c3-458e-8593-5b257c069561","resolution":{"observed_at":"2026-08-11T18:18:13.994311Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.978040Z","title":"Masked-attention mask transformer for universal image segmentation","venue":null,"work_id":"57ab4fef-d838-4ffe-8048-2f9a1136a9da","year":2022},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.875071Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:62817b3bfae5380293cc5a16afd51a0b90d576b7132b7e72051705537ea42469","observation_id":"43c117fd-b8f9-4fda-915d-966fc03e8f54","resolution":{"observed_at":"2026-08-11T18:18:13.982232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.965410Z","title":"Speckle noise reduction technique for sar images using statistical characteristics of speckle noise and discrete wavelet transform","venue":null,"work_id":"30f6de05-2035-41fd-864d-ef561ab17268","year":2019},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.879801Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:3dcb9c0a62000133be223b8f66a1ffc891a29776b37d1e0eb285c0c89366682c","observation_id":"6433b6c3-c705-496f-87cf-f3804e389f18","resolution":{"observed_at":"2026-08-11T18:18:13.970435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.953612Z","title":"MMYOLO: OpenMMLab YOLO series toolbox and benchmark","venue":null,"work_id":"5d0354df-e198-4950-862d-82fa4efa9617","year":2022},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.884722Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:cc3b9a9bd7371a058a04efa84019c2a4429ce218a01953a3bef6495bae742621","observation_id":"ddb1c4d3-bd9e-4bc2-bab1-2a8879c80795","resolution":{"observed_at":"2026-08-11T18:18:13.957867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.940790Z","title":null,"venue":null,"work_id":"23845d72-0f67-42db-8a54-ecb37e5d5873","year":2019},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.888983Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:efbb6d2161fce1715e0a657c7ec3ff39ff31aced86b19ec92653aebb30367d4a","observation_id":"e8041eb2-891f-418b-8b49-e22f08ac931b","resolution":{"observed_at":"2026-08-11T18:18:13.945868Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.926802Z","title":"Oil-spill-response-oriented in- formation products derived from a rapid-repeat time series of sar images","venue":null,"work_id":"fbcb7601-eadc-4828-bc5d-31e645b7dc2b","year":2020},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.893170Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:b4fbc94b5d5cc3e7bcd95ca62b4811c144e5d4ed4e5b26c975bade20b493d4b9","observation_id":"2223bb18-58a2-461a-823e-21c17981d8fb","resolution":{"observed_at":"2026-08-11T18:18:13.931080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.06253","last_updated":"2022-02-24T08:06:37Z","snapshot_observed_at":"2026-08-16T17:35:18.370152Z","submitted_at":"2021-12-12T14:56:58Z","title":"Up to 100$\\times$ Faster Data-free Knowledge Distillation","version":2},"cited_work":{"arxiv_id":"2112.06253","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.06253","snapshot_observed_at":"2026-08-11T18:18:13.266392Z","title":"Up to 100$\\times$ Faster Data-free Knowledge Distillation","venue":"cs.LG","work_id":"92b2ae0d-d342-44f2-8f83-170d7e7164c4","year":2021},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.897143Z"},"links":{"cited_paper":"/paper/2112.06253","citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:801c59ac93e25f05d94b123499d27cab2a964b51944549cdb0f188151dd3c2c9","observation_id":"ade890b7-5e17-4109-aef4-b6c622c239b9","resolution":{"observed_at":"2026-08-11T18:18:13.270302Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.914305Z","title":"Data augmentation for object detec- tion via controllable diffusion models","venue":null,"work_id":"6a583e8a-36b2-4747-901c-1ca9bee4f8a9","year":2024},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.901359Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:6c96a990e0460af070fed4df1494ee2988d5c0f16d274b646205d76444f787cb","observation_id":"8802099c-789e-4ced-a41f-35d8eaeb25d6","resolution":{"observed_at":"2026-08-11T18:18:13.919235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12803","last_updated":"2024-03-19T15:04:35Z","snapshot_observed_at":"2026-08-16T14:08:22.046906Z","submitted_at":"2024-03-19T15:04:35Z","title":"DreamDA: Generative Data Augmentation with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12803","snapshot_observed_at":"2026-08-11T18:18:12.906066Z","title":"Dreamda: Generative data augmentation with diffusion mod- els","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.906066Z"},"links":{"cited_paper":"/paper/2403.12803","citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:2b9d1f826c3c6b617e952d722925e52becf6b1aed26efa6bd08661ed860a0484","observation_id":"b7528a40-c6e9-497a-afc6-3461d561194a","resolution":{"observed_at":"2026-08-11T18:18:12.906066Z","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":"2026-08-11T18:18:13.901070Z","title":"Gemme and S","venue":null,"work_id":"39687a9e-15ee-431a-ada2-58c79cc733b4","year":2018},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.910339Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:f0fcd86486d98e8d1271f56c0655b1ce7208bb993c187a798a183d8d2de36d32","observation_id":"1295d1d6-82c0-402d-a0bd-0b8d366bd407","resolution":{"observed_at":"2026-08-11T18:18:13.905495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.890460Z","title":"Generative adversarial networks","venue":null,"work_id":"c2ddf68f-7a79-44f7-8b57-30be30837d82","year":2020},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.914262Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:fc56d7cefcc8e3a0bfec4d63df7017736cdc2f5b8081daff489d525348f461e6","observation_id":"f215ef07-5615-4ec4-8d3f-4a6cb4db05e7","resolution":{"observed_at":"2026-08-11T18:18:13.894105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.878728Z","title":"Class attention transfer based knowledge distillation","venue":null,"work_id":"3a56c007-44db-48bd-8919-d021eb1f0651","year":2023},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.918569Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:828b744c5539c81b52c9586794d101baaa2f8b6532f9f0f6e7609b90c1ac0bcd","observation_id":"96215c69-7adf-49d0-b273-2968895fbee3","resolution":{"observed_at":"2026-08-11T18:18:13.883183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T18:18:12.922411Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilib- rium","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.922411Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:ddd496cdca5d67dba0fee442c701ead5195aa39311dd7c5c7c20bc808b935f1d","observation_id":"2226685f-796b-4ac3-8a92-846a7a30d891","resolution":{"observed_at":"2026-08-11T18:18:12.922411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-16T18:00:58.008096Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-11T18:18:12.926321Z","title":"Distill- ing the knowledge in a neural network","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.926321Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:32c405d075c49e00d9a1b3bfcdf662ce16873dd375a8b5e0a839bec8d088de0f","observation_id":"66cd054a-def4-4ae5-8e94-e127961b6f91","resolution":{"observed_at":"2026-08-11T18:18:12.926321Z","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":"2026-08-11T18:18:13.862131Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":"3c3af75f-2634-44b2-a43a-7ddb2cd12c47","year":2020},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.930619Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:9d69d677bca87ec673e61fe9f4c4a80df98045829276e7c0388ef8ef19679025","observation_id":"f404ff6d-29fa-42ad-8376-c75a452e5c70","resolution":{"observed_at":"2026-08-11T18:18:13.865908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.850133Z","title":"Segment any- thing","venue":null,"work_id":"aef8cd1d-3bf0-412b-b908-98ec2245abfe","year":2023},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.935087Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:5bf358539bf168b8311084a9894dbfafd4aea57dbb274e2d1982c412ae289462","observation_id":"c33f3551-500a-458c-bdd7-aef82f5a12ec","resolution":{"observed_at":"2026-08-11T18:18:13.854780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.838524Z","title":"Konik and K","venue":null,"work_id":"00ed0344-1d6f-4d86-8249-c99b4df11b0d","year":2016},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.939148Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:8986c842c1a2530967fa924986af6f6365853e1bc7902d3db137823fb7a19404","observation_id":"36b7f058-b5ce-4bca-ba5c-1e8209d57dd5","resolution":{"observed_at":"2026-08-11T18:18:13.842925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.827484Z","title":"Anatomically-controllable medical image gen- eration with segmentation-guided diffusion models","venue":null,"work_id":"c0205393-3cf3-4314-b3fa-d058c4977932","year":null},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.942854Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:0718b819c00fc22809e140b0325d72fa8ca69013beab214ef16a577fe4744046","observation_id":"59af278f-06d1-421b-b23b-b360c211addc","resolution":{"observed_at":"2026-08-11T18:18:13.831988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.815055Z","title":"Krestenitis, G","venue":null,"work_id":"4eab5c83-4924-40e4-bdf0-4ea834002313","year":2019},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.947336Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:7126e36a0f029fd015078ed6ae417877331f696692743999f3fd7077d283b8c2","observation_id":"4479ea88-be64-4b59-bb2d-91ab77fb486c","resolution":{"observed_at":"2026-08-11T18:18:13.820402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.803345Z","title":null,"venue":null,"work_id":"3e6f8dd8-d350-4b23-bac4-a3f1ba80d833","year":2016},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.951127Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:70a74b9e4dcd0a06b0493b69c7e91acc01602ea0383aebf986b2f68e271ae645","observation_id":"582eee7b-2ec4-47fb-8852-b669d4df8542","resolution":{"observed_at":"2026-08-11T18:18:13.807409Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.789777Z","title":"Semantic segmentation with generative models: Semi-supervised learning and strong out-of-domain generalization","venue":null,"work_id":"f31996b6-4614-49ce-8c39-dcffc8d8f130","year":2021},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.955416Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:46738c21bdfe333be2a7ffc045c3939c12747eeb084c29bd9d38a6f6961a95fd","observation_id":"12ed2070-1fb9-4752-aadd-051e63673bd1","resolution":{"observed_at":"2026-08-11T18:18:13.794316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.778260Z","title":"Online knowledge distillation for efficient pose estimation","venue":null,"work_id":"ddd2e2f5-649e-4da2-97d6-80253a86b1ea","year":2021},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.959347Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:f38ec2725f0825969f27e0d62395421013526f657c30b0a10e3ea2a693d346f9","observation_id":"d0c6dc31-3845-4910-bd38-289d77e09ed1","resolution":{"observed_at":"2026-08-11T18:18:13.782693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12954","last_updated":"2023-05-22T12:02:31Z","snapshot_observed_at":"2026-08-18T23:24:00.920547Z","submitted_at":"2023-05-22T12:02:31Z","title":"Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?","version":1},"cited_work":{"arxiv_id":"2305.12954","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.12954","snapshot_observed_at":"2026-08-11T18:18:13.230350Z","title":"Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?","venue":"cs.CV","work_id":"bc66bdd3-5c7c-49e3-8d37-391f6becc0d1","year":2023},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.963033Z"},"links":{"cited_paper":"/paper/2305.12954","citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:322bd48d3a1c85f51db7c8fbef8f2fc20ff8b976410c307a7d580afa5c58f9b3","observation_id":"d9eeba78-ad92-4252-b897-a9a277a9bd9c","resolution":{"observed_at":"2026-08-11T18:18:13.236428Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.764562Z","title":"Structured knowledge distillation for semantic segmentation","venue":null,"work_id":"85fddf9c-e542-4c60-aa22-c7b61fc39c2e","year":2019},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.967347Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:f3c2cba28e33e8b37a30b709acdeb04cbc03e41c6cb7488223946aedfa1a967c","observation_id":"a633454f-86cb-4e5a-94e5-2115d7918f91","resolution":{"observed_at":"2026-08-11T18:18:13.770598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-14T20:13:52.872565Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-11T18:18:12.971455Z","title":"Decoupled weight decay regularization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.971455Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:a10baf544716434d6514220e45d7476daf1033750d79bff24b91b73298667538","observation_id":"2fc56861-254a-48be-b643-78199538c82a","resolution":{"observed_at":"2026-08-11T18:18:12.971455Z","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":"2026-08-11T18:18:13.754138Z","title":"Nieto-Hidalgo, A","venue":null,"work_id":"097a9ee5-f27a-4a77-92d5-032c45429f82","year":2018},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.975716Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:ca0ffeaa4f01738202301145dda18e06036a538d075d092292014a04a8184db4","observation_id":"b1262729-591a-4404-850b-650b93395464","resolution":{"observed_at":"2026-08-11T18:18:13.757726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T18:18:12.979762Z","title":"Relational knowledge distillation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.979762Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:808a65894213e2c5d8ea3a7e1201f2b62e6ecc0fde4e401522dc923456414a06","observation_id":"1f580e1c-5021-4afc-a71a-15ceebdcd112","resolution":{"observed_at":"2026-08-11T18:18:12.979762Z","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":"2026-08-11T18:18:13.738324Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"7ca419e8-a80b-4d9c-a10e-1954c7edeba2","year":2022},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.983810Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:8f5c3d14b7e65b39f19193ad201b82c92998083a33593487ebb36b03a3b524d6","observation_id":"1a5c9b00-946e-4781-939c-0724c6f20079","resolution":{"observed_at":"2026-08-11T18:18:13.741844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.727398Z","title":null,"venue":null,"work_id":"41b1538c-688a-413d-abed-cef86c4fc35e","year":2014},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.988087Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:65172026e421a58829492970a6a0b6c5d1bc8da3a80c0c00745fc52960bb8677","observation_id":"59ba1cc8-bd8b-4ad9-96e7-4886fbd8ad4b","resolution":{"observed_at":"2026-08-11T18:18:13.731346Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.716598Z","title":"Salberg, O","venue":null,"work_id":"cadb50fa-2215-43a7-8112-cf82872c339c","year":2014},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.992583Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:0d361f6554b39260e619d714581b3ce2b0aa0caf5ee4867adda052166ed335c7","observation_id":"2b9b3fbb-6819-4997-8bc8-4dd03b7c5cb1","resolution":{"observed_at":"2026-08-11T18:18:13.720439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.704915Z","title":"Generative data augmentation improves scribble-supervised semantic segmentation","venue":null,"work_id":"bc0d8baf-b760-4aca-ac0d-92ef216ae4ec","year":2024},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:12.996980Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:16e017bc8dbf96efb140fc0ff1d8dfb790a4ef47f27879e8426efde7fad8cb09","observation_id":"9fca65cc-e7da-43bb-a77f-6f3bc72d2f98","resolution":{"observed_at":"2026-08-11T18:18:13.708833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.693158Z","title":"Enhancing oil spill detection using synthetic aperture radar with dual attention u-net model","venue":null,"work_id":"b3dcd5d9-5391-48d7-9b72-f836359d09b4","year":2024},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.000842Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:7adb7d962bc3ff9235f973fd1b871e6d9e79b565a1bba52ba251fa1e857f02e9","observation_id":"29512937-82e6-49b1-ae73-f84ee941533f","resolution":{"observed_at":"2026-08-11T18:18:13.697621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.680059Z","title":null,"venue":null,"work_id":"a7831c43-c36f-4f39-8c3d-cc542d0d6bb2","year":2026},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.005223Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:f65407fb4a38bc0c027caf176ea948e951813b06f0640536851f5fe8106e644c","observation_id":"a50daa85-e826-412b-9e9f-825a5916dd00","resolution":{"observed_at":"2026-08-11T18:18:13.685068Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.668942Z","title":"Analysis and effects of speckle noise in sar images","venue":null,"work_id":"8ed1d2b2-ac2b-4f10-b99f-cc1e54535bb9","year":2016},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.009307Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:60c843c22e272acc62d914a96d35bba1207ff619d332d3cc0115d5d65732c8cf","observation_id":"5296ade6-ea10-4c9a-ad40-80973f42f6b4","resolution":{"observed_at":"2026-08-11T18:18:13.673110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-11T18:18:13.013353Z","title":"Denoising diffusion implicit models","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.013353Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:901f5401141bde6b0fa949d514a8f16c0ad28b5a6b20b625b8977ad3e9ad0f66","observation_id":"fe5387ef-7caa-4181-8cbc-430260dc8eb7","resolution":{"observed_at":"2026-08-11T18:18:13.013353Z","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":"2026-08-11T18:18:13.657877Z","title":"Sudre, Wenqi Li, Tom Vercauteren, Sebastien Ourselin, and M","venue":null,"work_id":"593f7ee8-6e4b-46c4-ba15-f4246fc2cd68","year":2017},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.017694Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:5b3facd76e340026e2e9b7fa78927cbf9956575d2b275da788f15703e17aa0a9","observation_id":"53277b53-34f2-4819-9eff-cf6bb8803ccd","resolution":{"observed_at":"2026-08-11T18:18:13.661683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.647237Z","title":"Rethinking the inception ar- chitecture for computer vision","venue":null,"work_id":"ec91dcdc-c7fe-481a-8466-bc2783fb85fa","year":2016},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.021684Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:e4b7099b5951a76b9ccb7cba9caaf8404d00c5ee10ac6688a4a01e3369f970d3","observation_id":"5d99bf5d-b16b-4c08-a857-2ecef742cbbc","resolution":{"observed_at":"2026-08-11T18:18:13.650816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.636516Z","title":"Wan Yusof","venue":null,"work_id":"5ed162e0-9a6f-452f-a56c-72d683ba3623","year":2020},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.026744Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:de28ba639451daaf72984bb34acaccd7a7e8e3d3ab35a7d91f38c82f421a68c5","observation_id":"7cc53ed4-a826-4af0-a507-e650f476cdeb","resolution":{"observed_at":"2026-08-11T18:18:13.640606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.624844Z","title":"Cross-modal knowledge distillation for action recognition","venue":null,"work_id":"b9d88dab-b0e4-4b99-a9f0-309133a025d0","year":2019},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.031362Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:883b234840ef1f1b0c008aaa8830762fb6fab918bc65c33c536e9d2786ded284","observation_id":"4bf7ed60-58f8-441e-8dc2-ffbf1d00702d","resolution":{"observed_at":"2026-08-11T18:18:13.629056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T18:18:13.036370Z","title":"Diffuse attend and segment: Un- supervised zero-shot segmentation using stable diffusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.036370Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:d9141d45816db38f5e079f56a81090ad43de9eb3d5915bf3e11dc9e16910f435","observation_id":"5680d710-1140-4c5d-8c36-bc720ccfa4be","resolution":{"observed_at":"2026-08-11T18:18:13.036370Z","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":"2026-08-11T18:18:13.607815Z","title":"Satsynth: Augmenting image-mask pairs through diffusion models for aerial semantic segmentation","venue":null,"work_id":"df92a13f-aa1e-428a-b14b-f19941f56da4","year":2024},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.043018Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:6620e46d9b1325aa1a638bb9a0644df8b2a9bb89d8eaf8048ad16ff084deb4b7","observation_id":"cd3fc8b6-2d3a-4e49-9e0b-f890e58b00c2","resolution":{"observed_at":"2026-08-11T18:18:13.611667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-18T18:56:43.138278Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-11T18:18:13.047022Z","title":"Effective data augmentation with diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.047022Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:66dfd319b2efc94eff090521d755b30bfdb11dcd28a33852caf1b5cfb551a96f","observation_id":"eb04d9b7-fa8f-4947-adb2-3ef0a381a69c","resolution":{"observed_at":"2026-08-11T18:18:13.047022Z","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":"2026-08-11T18:18:13.596131Z","title":"Similarity-preserving knowl- edge distillation","venue":null,"work_id":"8cc3324f-70b0-4aee-87f5-09d041f7b048","year":2019},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.051247Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:b7696ecc8ad4aa3f3c6ab3bc96e4ea813b1ba0bde21d276700dba1c4119c0333","observation_id":"90276418-9ac8-4326-b36a-b1d6a9a8e253","resolution":{"observed_at":"2026-08-11T18:18:13.600293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.585791Z","title":"Vespe and H","venue":null,"work_id":"f47384a2-a697-4c32-b7c7-648bafee5a75","year":2012},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.055072Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:9ed6bc2cc876e2d0c5a29ab686a54b1869947b38d0850ded8a0f22d5988d530e","observation_id":"005a82a5-c3e5-4420-a3f1-e06172c1fbf9","resolution":{"observed_at":"2026-08-11T18:18:13.589459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.573924Z","title":"What makes a ”good” data augmentation in knowledge dis- tillation - a statistical perspective","venue":null,"work_id":"b6c23c65-8e1e-4817-9e5d-7bae742cbccc","year":2022},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.059275Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:1adc179dd3dd8d70dfc5eec52084d80c5e1dce223263e57491c6296ab073cda2","observation_id":"e7733b8d-378d-41d1-bbc2-de0d07b46e91","resolution":{"observed_at":"2026-08-11T18:18:13.578296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.563380Z","title":null,"venue":null,"work_id":"49e666da-11ab-435e-a9b2-4678534afde9","year":2019},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.063368Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:a4af116cf18f276554bb7c11032f1beff47884a9d3812828c0131284da7e3e04","observation_id":"c7f4eb9c-b834-4677-a256-69cf22e0fc69","resolution":{"observed_at":"2026-08-11T18:18:13.567315Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.551790Z","title":"Intra-class feature variation distillation for se- mantic segmentation","venue":null,"work_id":"9551aadd-4295-4803-b26a-b6584ebdbb79","year":2020},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.067401Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:6d0d289c7232fac8284e917fb32af727481f2d61525d5952f5f3f322551f1466","observation_id":"053edc9d-b5c2-45fa-a521-83550f1c9867","resolution":{"observed_at":"2026-08-11T18:18:13.556494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.539301Z","title":"Scaled decoupled distillation","venue":null,"work_id":"38786077-0b49-435c-85f8-bc3e2bf6a16c","year":2024},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.071650Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:8a3fcf16608f650dc59f1dfcd200f1e48ef124debe7a2bc57cad7930e798c8bd","observation_id":"ffdb5491-0d98-4f8d-9548-b6019deafb1c","resolution":{"observed_at":"2026-08-11T18:18:13.544233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T18:18:13.075620Z","title":"Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.075620Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:3f1c8f7c14c5922cef168919441e2015dbb6e9ac2bd13d1304f91bb9993b7606","observation_id":"66725c2a-23ff-4233-a5f2-e3989613d62b","resolution":{"observed_at":"2026-08-11T18:18:13.075620Z","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":"2026-08-11T18:18:13.521847Z","title":"Compositional oil spill detection based on object detector and adapted segment anything model from sar images","venue":null,"work_id":"f4b8a4b4-28f5-45c1-83f1-73f3c52243be","year":2024},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.079467Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:7edb12dbd2ecbeb055f2ea92cfb51879babbd777e1050e2473c0974240d63a61","observation_id":"d8ff77df-0746-4a4d-881f-c5f3d1e9fef0","resolution":{"observed_at":"2026-08-11T18:18:13.526395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.510629Z","title":"Segformer: Simple and efficient design for semantic segmentation with transform- ers","venue":null,"work_id":"04c2ea07-68e1-4e27-acbe-d7c979b30272","year":2021},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.084190Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:1e0d7d0ca542c47ded6407690aba80f5ddf4b7f702e65ca3e655e9064f356de9","observation_id":"c59f60cc-c49d-4908-8f5e-45317001a767","resolution":{"observed_at":"2026-08-11T18:18:13.514426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.498878Z","title":"Data-free knowledge amalgamation via group-stack dual- gan","venue":null,"work_id":"f93091e6-4f1e-4cc4-9a97-230bd15e434b","year":2020},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.087434Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:271001db32337504a7530ad598060e64000d9b3f2c390017225280bbd99a2443","observation_id":"e2e6fc15-6c00-46af-8591-2992c6bdbd4a","resolution":{"observed_at":"2026-08-11T18:18:13.503198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.484891Z","title":"Diffusion-based data augmentation for nuclei image segmentation","venue":null,"work_id":"fb7bd117-e4c1-4a4e-a95b-446cfb3cd40a","year":2023},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.091394Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:54c35712b7c120f7f526533dddbaebe86979475bca32b9bad58ac06ce0ef011f","observation_id":"8d48b286-109d-4b5b-b70d-28790212c1f8","resolution":{"observed_at":"2026-08-11T18:18:13.490293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.473457Z","title":"Paying more at- tention to attention: Improving the performance of convolu- tional neural networks via attention transfer","venue":null,"work_id":"7073bcfe-4205-478a-b3cd-a8f6d9a70e25","year":2017},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.095293Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:9c86db9a9b89cc00a4c7eba4d3384cfc317b47978b8b8f673fad1e9eff58d79f","observation_id":"7a3c3353-c53f-4aad-8942-622e04ced841","resolution":{"observed_at":"2026-08-11T18:18:13.477768Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.462711Z","title":"Fast human pose estimation","venue":null,"work_id":"56e7f5c9-05f9-4964-89c1-b79e37087caf","year":null},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.099405Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:69e9670d3e2baa3be6b745eaef23381044cbcd4174a2cad31f0cc99153eac999","observation_id":"be188da6-3cd0-4aea-846c-bec60b6b1acb","resolution":{"observed_at":"2026-08-11T18:18:13.466796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.451022Z","title":"Oil spill detection in quad-polarimetric sar images using an advanced convolutional neural network based on super- pixel model","venue":null,"work_id":"9c8d9252-2d67-4018-bd97-21fc56a499c2","year":2020},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.104645Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:b0049bac380210181afbca9fc38758fb8a7b92b8a4347e84870723137295a1a7","observation_id":"9bdabc5f-f214-4dcd-aaf9-c665c923c4bf","resolution":{"observed_at":"2026-08-11T18:18:13.456211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.440858Z","title":"Joint- net: Extending text-to-image diffusion for dense distribution modeling","venue":null,"work_id":"b9af1d39-81de-44cc-b414-092ddde4bfac","year":2024},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.109110Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:cf22ca55ccc2506c4eb1088b1ab07af6516e2bea19472ca8aae00677a90189d8","observation_id":"c9df4709-edc2-41ad-89da-2847d60aad14","resolution":{"observed_at":"2026-08-11T18:18:13.445209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.03893","last_updated":"2023-09-07T17:55:01Z","snapshot_observed_at":"2026-08-16T15:02:27.487007Z","submitted_at":"2023-09-07T17:55:01Z","title":"DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.03893","snapshot_observed_at":"2026-08-11T18:18:13.114001Z","title":"Diffusionengine: Diffusion model is scalable data engine for object detection","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.114001Z"},"links":{"cited_paper":"/paper/2309.03893","citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:2f1482093fc621e746c766d0c8522116b77a26028b3a9e046bbdb2a2e5f6b815","observation_id":"7f695895-7450-473c-bd56-e271585943b9","resolution":{"observed_at":"2026-08-11T18:18:13.114001Z","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":"2026-08-11T18:18:13.428480Z","title":"Decoupled knowledge distillation","venue":null,"work_id":"e4a79d9b-cb03-4319-9580-1f30346abdae","year":2022},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.117868Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:eea00a43de31a6449d675be6dc262b131d0c53537f554b4283e896add1d2fdc6","observation_id":"372787df-559a-416b-b0ea-6c4bced782f3","resolution":{"observed_at":"2026-08-11T18:18:13.433805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.416190Z","title":"Through-wall human pose estimation using radio signals","venue":null,"work_id":"5457da85-224b-4793-81a2-62c5198d9b6a","year":2018},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.121300Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:fa0233461e4cde121bcfac663b8fd461bdc0ef99991a4dc89d22efe66eb42eff","observation_id":"1404960a-c5c1-4a2a-ae0e-35e8ded56254","resolution":{"observed_at":"2026-08-11T18:18:13.420729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.402985Z","title":"Build- ing extraction from high spatial resolution remote sensing images via multiscale-aware and segmentation-prior condi- tional random fields","venue":null,"work_id":"570f1d9d-17c1-437f-acf7-de914f65a271","year":2020},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.125520Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:2b2cf7a641151f5cdd1518bde5a2ecb365aa9e6db9d9dc8256cd4c4d34387eac","observation_id":"1dd566e2-980d-44c6-a033-91a6044fa416","resolution":{"observed_at":"2026-08-11T18:18:13.407985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.390459Z","title":"A spectral-spatial-dependent global learning framework for insufficient and imbalanced hyperspectral image classi- fication","venue":null,"work_id":"3462fb03-054a-494a-91d1-9b1fc905e94f","year":2021},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.130133Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:8cef4f75b8ed6ecc502db490f97b83bfba3131c0cb23e7a095e26787be17ae96","observation_id":"32b00c85-caaf-49e9-b1b1-44cb8f6df180","resolution":{"observed_at":"2026-08-11T18:18:13.394760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.379815Z","title":"A global context-aware and batch-independent network for road extraction from vhr satellite imagery","venue":null,"work_id":"17d187d2-1e46-41ac-bad4-c30918fd6180","year":2021},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.134889Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:fc77764a085e0ccb09d9f9f44de8323b6fcca899228c5822c1659e71b08da8e4","observation_id":"f8317006-5c22-4c4a-851e-44ad21a7a89f","resolution":{"observed_at":"2026-08-11T18:18:13.383561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.368811Z","title":"Oil spill contextual and boundary-supervised detection network based on marine sar images","venue":null,"work_id":"b72473f7-1974-4dfa-9bd9-b43a855ac0a3","year":2022},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.139185Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:b3aebfdecbf68dcb3a28f09526fe106952bbdbe99eb455e189a265ba5c811cd1","observation_id":"3b464400-a0be-4229-8220-741aa02d3b5f","resolution":{"observed_at":"2026-08-11T18:18:13.373031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.357694Z","title":"We utilize a linear noise sched- uler with 1, 000 steps for training, while we use the DDIM","venue":null,"work_id":"e0a845a3-a32f-4a1b-8693-601298dfb9d2","year":null},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.143486Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:5ff2c713088159e892e71397f3aac74b392a1d8b3915fa654913c03179cd4be8","observation_id":"c8ef77c5-b9c1-4c41-ad74-f0c44ed2b3c1","resolution":{"observed_at":"2026-08-11T18:18:13.361512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.347110Z","title":"Training is con- ducted on a Nvidia A6000 GPU","venue":null,"work_id":"532ff6d4-2625-4948-82a9-770b32f00549","year":null},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.147816Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:c06723aef5f1f0642ce63c183895b8480f25c577a5911af948411cf22fd6e5d5","observation_id":"5364be2d-b153-4bba-8889-0a2ad9396204","resolution":{"observed_at":"2026-08-11T18:18:13.350834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.324167Z","title":"8 SAR image GTDeepLabV3+ DeepLabV3+ w/ DAKTer SAR image GTMask2Former Mask2Former w/ DAKTer SAR image GTCBDNet CBDNet w/ DAKTer SAR image GTSegFormer SegFormer w/ DAKTer Figure 12","venue":null,"work_id":"9940e4f1-f32b-4639-84ed-b7f075970bfe","year":null},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.157703Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:5723fcabbabb18829ed807e43e5a9f22024dfcf656caf5a916f15c4f80c38a55","observation_id":"1bdeda74-1a7e-4433-8a43-a36069ffd0ae","resolution":{"observed_at":"2026-08-11T18:18:13.328629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.312621Z","title":null,"venue":null,"work_id":"b2df5edd-f82f-4656-948d-7a3c1a475028","year":null},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.161406Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:a721997f6ef2634170451713e19f2da4a122e151525299bd1a53362b1dc73388","observation_id":"efe15ff9-865b-4c6d-8294-0937e19ab479","resolution":{"observed_at":"2026-08-11T18:18:13.316701Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T18:18:13.336114Z","title":null,"venue":null,"work_id":"23b44612-b5c0-4188-8a4a-63136e58e400","year":null},"citing_paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","version":2},"reference_index":256,"source":"pdf_text","source_observed_at":"2026-08-11T18:18:13.153676Z"},"links":{"citing_paper":"/paper/2412.08116"},"observation_digest":"sha256:fa5af30e8d2d343979e8162ec6c492c60cd192a113fd847b5deb05bf09b5533d","observation_id":"19e0d6ed-8d86-451e-84db-50a8fb89cdc7","resolution":{"observed_at":"2026-08-11T18:18:13.340927Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.08116","last_updated":"2025-03-18T05:49:19Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T22:05:58.819337Z","submitted_at":"2024-12-11T05:50:33Z","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation"},"reference_resolution":{"displayed":80,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":2,"verified_fuzzy":55},"total_outbound_references":80},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2412.08116."}