{"as_of":"2026-08-19T23:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6df4c0d24943f89c6876336fee6821d3bcdbce14032ceb3181c649bf22d54eec","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:35:55.500453Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"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/2504.15171/citation-record","integrity":"/paper/2504.15171/integrity","json":"/paper/2504.15171/citation-record.json","paper":"/paper/2504.15171"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:35:56.199146Z","title":"Multimodal fish feeding intensity assessment in aquaculture,","venue":null,"work_id":"f853435e-e216-4647-90e0-d9da08ea84aa","year":2024},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.262792Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:27b44bccf0685ae61ce002b5bec630677143d740a6fcb88353502ab5ea4d6b9f","observation_id":"40ef2606-07ac-4577-bbeb-efd16ce62cfa","resolution":{"observed_at":"2026-08-16T11:35:56.202612Z","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":"2026-08-16T11:35:56.188744Z","title":"Automatic feeding control for dense aquaculture fish tanks,","venue":null,"work_id":"63886f24-b3b4-430b-a6b8-1d2bb2834d3b","year":2014},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.267739Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:830e5810fe5a23d154c9e72632470fdcbe954c48243f67ef17143342ba95a248","observation_id":"cebf963a-74bd-4bf4-b882-f5e0cbe21fc5","resolution":{"observed_at":"2026-08-16T11:35:56.192308Z","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":"2026-08-16T11:35:56.178171Z","title":"Automatic recognition methods of fish feeding behavior in aquaculture: A review,","venue":null,"work_id":"7a934979-3631-47c3-b058-c01df8c848f5","year":2020},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.271736Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:f2ad68e35a87d7973ce43df5ff0cc2da9690049b1b23388026b09aebb5f61436","observation_id":"0edfb287-f944-4230-9634-e40a750efc2d","resolution":{"observed_at":"2026-08-16T11:35:56.182152Z","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":"2026-08-16T11:35:56.167502Z","title":"Fish feeding intensity assessment in aquaculture: A new audio dataset affia3k and a deep learning algorithm,","venue":null,"work_id":"adcd79c8-8832-48c0-8460-da4100668381","year":2022},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.275743Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:71323b119260163acbdb86c2fdbd0bc4eca75d054a2173650a4b67217b0d4b77","observation_id":"8a8fe738-a8f1-46bb-949f-ef219193ffe4","resolution":{"observed_at":"2026-08-16T11:35:56.171293Z","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":"2026-08-16T11:35:56.156634Z","title":"Feeding intensity assessment of aquaculture fish using mel spectrogram and deep learning algorithms,","venue":null,"work_id":"2cea2bd6-ddf6-4cab-8a9e-d0afddd6d7fb","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.279718Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:551e36c8baa6992b54ad5ae84870f6e649b7319d5754d6264cb0e4c9deba3ae7","observation_id":"6a39f7d0-532a-4513-bf92-8e802727a104","resolution":{"observed_at":"2026-08-16T11:35:56.160477Z","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":"2026-08-16T11:35:56.145720Z","title":"Evaluating fish feeding intensity in aquaculture with convolutional neural networks,","venue":null,"work_id":"f442fc83-ff0e-40d6-b304-0b55d75e78db","year":2021},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.284113Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:65fdc5ef02168b2d18b45c7f3fda7c80a9d30b0367f15828db0fe3960f397b24","observation_id":"2b2052bb-9b43-4901-b042-1f28e77100ef","resolution":{"observed_at":"2026-08-16T11:35:56.149438Z","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":"2026-08-16T11:35:56.134775Z","title":"A review of aquaculture: From single modality analysis to multimodality fusion,","venue":null,"work_id":"22fb4a56-2416-4266-b026-e686182df337","year":2024},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.288993Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:beb8da7748b7d0953bff6d1a1d0bae47879aba92ce18e15dcdab4e714e08296c","observation_id":"8ea549c8-d6d4-4541-9c97-7734791fd102","resolution":{"observed_at":"2026-08-16T11:35:56.138765Z","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":"2026-08-16T11:35:56.124208Z","title":"Harnessing multimodal data fusion to advance accurate identification of fish feeding intensity,","venue":null,"work_id":"b617d6ac-b46f-4e24-a94b-57a548f47678","year":2024},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.293264Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:9f4d16b6ba5d0f8dd42e3fa61f6a994a8617111fa9b11efbf16a91450fffdb6e","observation_id":"66b21b92-3fce-4897-a2e7-41d13eaee4ad","resolution":{"observed_at":"2026-08-16T11:35:56.127809Z","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":"2026-08-16T11:35:56.113379Z","title":"Fish tracking, counting, and behaviour analysis in digital aquaculture: A comprehen- sive survey,","venue":null,"work_id":"d40c2864-bad4-472b-b767-7f6677906909","year":2025},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.296924Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:baa325ca7d0cfa2bccaa690e28ec00c9227b348ac46e515f86dc9b8f9c4a54a3","observation_id":"6a015065-e94b-4f4c-b43a-be05c96cdca1","resolution":{"observed_at":"2026-08-16T11:35:56.117015Z","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":"2403.05175","last_updated":"2024-03-08T09:32:43Z","snapshot_observed_at":"2026-08-17T07:11:31.531084Z","submitted_at":"2024-03-08T09:32:43Z","title":"Continual Learning and Catastrophic Forgetting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05175","snapshot_observed_at":"2026-08-16T11:35:55.300938Z","title":"Continual learning and catastrophic forgetting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.300938Z"},"links":{"cited_paper":"/paper/2403.05175","citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:d62233bf18cac42f5978eb357c932f4a64cf11b75683c2d0f61a81bf1c5f2215","observation_id":"b82c328f-dc2f-435b-aeac-a91e202d44ef","resolution":{"observed_at":"2026-08-16T11:35:55.300938Z","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":"2026-08-16T11:35:56.102012Z","title":"Overcoming catastrophic forgetting by incremental moment matching,","venue":null,"work_id":"da4b1729-5fd7-4844-a9f4-dcefa1de4c70","year":2017},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.305218Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:d26fe687def776af42d4b4f492ee2069a257f15af6753ab262cf8562ed45caa8","observation_id":"3a10fd0e-218c-417d-ae43-beca84d26330","resolution":{"observed_at":"2026-08-16T11:35:56.105985Z","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":"2302.03648","last_updated":"2024-07-15T13:35:33Z","snapshot_observed_at":"2026-08-18T17:47:02.893120Z","submitted_at":"2023-02-07T17:59:05Z","title":"Class-Incremental Learning: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.03648","snapshot_observed_at":"2026-08-16T11:35:55.309258Z","title":"Deep class-incremental learning: A survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.309258Z"},"links":{"cited_paper":"/paper/2302.03648","citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:f9f33bfe30b27ce7f9dad043f083d3183a0ee19f28ddaf7b571a8db8a349b7c1","observation_id":"47350d61-9143-4c90-9f99-0d4ee5fa8425","resolution":{"observed_at":"2026-08-16T11:35:55.309258Z","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":"2026-08-16T11:35:56.090926Z","title":"Dynamic residual classifier for class incremen- tal learning,","venue":null,"work_id":"e6d96c39-1903-41a6-b66b-7603b37c66b8","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.313641Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:f2874bac8314d0c929e41cbce54454bedb55d03550a154fc78d62ff40c84de7b","observation_id":"b9c553d2-3dc5-4eed-ac73-13754f700617","resolution":{"observed_at":"2026-08-16T11:35:56.094733Z","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":"2026-08-16T11:35:56.079654Z","title":"Podnet: Pooled outputs distillation for small-tasks incremental learning,","venue":null,"work_id":"99f83e5b-43da-4371-b74b-ce7a02789397","year":2020},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.317409Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:067699b60f0d37dea8112fdb0f4c1ac219dfd0a058586be3cd1dc388186275a6","observation_id":"257a0c2a-154e-4ea4-b72b-0891c8b146dc","resolution":{"observed_at":"2026-08-16T11:35:56.083413Z","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":"2026-08-16T11:35:56.068412Z","title":"Adaptive aggregation networks for class- incremental learning,","venue":null,"work_id":"94630bf6-bcbe-4a35-827f-ae3b17756f00","year":2021},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.321057Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:ffb9db650a2ee5bfc82bea34cd70efedc4efa84e94ac52328ca3ca4dd2e1d464","observation_id":"41274bbf-3d78-4fb4-bc6e-864fc33ccd19","resolution":{"observed_at":"2026-08-16T11:35:56.072121Z","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":"2026-08-16T11:35:56.057312Z","title":"DiffClass: Diffusion-based class incremental learning,","venue":null,"work_id":"cd662163-88f8-4024-9c5b-1e1911875fb1","year":2024},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.324570Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:f16c2de6ede0c72f475c581ca13f89bad351eeb45865482d89bf1d24ecbec3d8","observation_id":"6b6136eb-1c6c-4339-9b8e-8f31c864844a","resolution":{"observed_at":"2026-08-16T11:35:56.060969Z","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":"2026-08-16T11:35:56.046171Z","title":"Fetril: Feature translation for exemplar-free class-incremental learning,","venue":null,"work_id":"e58fe069-a497-4d27-bf98-761319c830b7","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.328572Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:9ff38f8cd165b6e6538469bf8b4c2945f007835074aa72d6520cbf6fe1c636e5","observation_id":"3f8ecd7a-48ab-437c-8438-38a194f0c8ff","resolution":{"observed_at":"2026-08-16T11:35:56.050158Z","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":"2026-08-16T11:35:56.034999Z","title":"Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning,","venue":null,"work_id":"4333fb4d-eab3-41a1-91cb-9e56ecf43d73","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.331932Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:464112bb07d50d7644c24e1672aaba86598a9464b96af648d35e969e7eae5f3b","observation_id":"416b1d67-0a12-4cf9-ae38-4a882a9f4996","resolution":{"observed_at":"2026-08-16T11:35:56.039120Z","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":"2026-08-16T11:35:55.335273Z","title":"Learning without forgetting,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.335273Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:2f070c57363ef32d6e6524294ce935ec2f51961a544a6107b1245861f684d7d1","observation_id":"ac5268ba-b002-4c51-84d7-c230639d9871","resolution":{"observed_at":"2026-08-16T11:35:55.335273Z","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":"2026-08-16T11:35:56.017405Z","title":"Representation robustness and feature expansion for exemplar-free class-incremental learning,","venue":null,"work_id":"423e2941-13ab-426d-84fe-4aa94b7b7daf","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.339129Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:26b9edfc72bf7d22302b9e3a7e010b34482834d016ba0170c1a11c11f38211d4","observation_id":"be00f496-30ad-4270-8d1c-75c4dc9d5cf1","resolution":{"observed_at":"2026-08-16T11:35:56.021274Z","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":"2026-08-16T11:35:56.006299Z","title":"Multi-granularity knowledge distillation and prototype consistency reg- ularization for class-incremental learning,","venue":null,"work_id":"edb6d6b7-034b-4d17-895a-78cd64a82e12","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.343150Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:6e7460ac55ecac2031d5c32fe9c6ec01ab94bf361b09878ce81fadbaee541b95","observation_id":"cab5043a-3c88-4f58-a804-6f933fbdbeba","resolution":{"observed_at":"2026-08-16T11:35:56.010306Z","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":"2026-08-16T11:35:55.995135Z","title":"Adapt your teacher: Improving knowledge distillation for exemplar-free continual learning,","venue":null,"work_id":"43c734c4-bcf4-45a7-ab89-5625484643a3","year":1977},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.346889Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:0e11015c7e540bf1c4bb88a9ba756dc7e9af87238f9b73a9b188c31038278977","observation_id":"5fb4143d-1b14-4cb2-9bb5-313a1a8a2945","resolution":{"observed_at":"2026-08-16T11:35:55.998955Z","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":"2026-08-16T11:35:55.983843Z","title":"Exemplar- free class incremental learning via discriminative and comparable paral- lel one-class classifiers,","venue":null,"work_id":"882a8340-fceb-42bb-b3ba-14a27ce83d8c","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.350322Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:5b659ce7417dca2f7dbc3fc4f91342bcd283b9839f48fadc935ed270a9bf3e8e","observation_id":"57535e62-b6e3-4ec0-b2a4-eb5e2b0b2b01","resolution":{"observed_at":"2026-08-16T11:35:55.987676Z","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":"2026-08-16T11:35:55.353701Z","title":"Class-incremental learning: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.353701Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:807c55d8138fdbdf14d1bfd81e6cd8cbe1d3b0441b5c493313ab3be368729a6a","observation_id":"434965eb-2006-4aa7-a4d6-2ed8ea59f83d","resolution":{"observed_at":"2026-08-16T11:35:55.353701Z","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":"2026-08-16T11:35:55.967038Z","title":"Learning to prompt for continual learning,","venue":null,"work_id":"b062d9c9-881f-4231-b382-f7439c4f8b21","year":2022},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.357492Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:1a9fb76037e5437839d869fc8dc45b77285ae3b700f473fa734c410d33312429","observation_id":"9a6be67b-bb42-409f-afe7-03777434358c","resolution":{"observed_at":"2026-08-16T11:35:55.970991Z","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":"2026-08-16T11:35:55.956698Z","title":"Prototype augmen- tation and self-supervision for incremental learning,","venue":null,"work_id":"51a96673-be86-4e18-b224-a6377425f419","year":2021},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.360887Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:8736e112bab0e43c5897d58d0325ad8cb325be5caacc0b2fb783cca44a17c2f5","observation_id":"5929c152-94c5-449f-a761-4ca618cb3d9c","resolution":{"observed_at":"2026-08-16T11:35:55.960135Z","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":"2026-08-16T11:35:55.946911Z","title":"Few- shot class-incremental learning via training-free prototype calibration,","venue":null,"work_id":"d162fe43-8668-435a-a444-52572f3f885a","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.365089Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:a7527d6fee11c31121ed60236d12396bb90e2218b48c13a02a262bc1b6dcb4c7","observation_id":"f82e9acd-dfd8-4284-9fe0-e4edd6a20620","resolution":{"observed_at":"2026-08-16T11:35:55.950466Z","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":"2026-08-16T11:35:55.935336Z","title":"Few shot class incremental learning via efficient prototype replay and calibration,","venue":null,"work_id":"5e65c7e9-c5cb-4804-89d0-5150760cc532","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.368520Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:74e79631c4cb6f9ccdf3de9198dd03345224c3d245c384907683f8836df20e49","observation_id":"d4aa9632-2748-4c1c-b5f4-89f8c96631b4","resolution":{"observed_at":"2026-08-16T11:35:55.939925Z","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":"2026-08-16T11:35:55.923602Z","title":"A class-incremental approach with self-training and prototype augmentation for specific emitter identification,","venue":null,"work_id":"7b9f2cd7-e151-4c27-873c-6a2da5ffcfa2","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.371914Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:4bdc4688d2699fbdf2d9a7a0cd355aafd4a730c1d57cd2c30415331badfeebb0","observation_id":"647e644a-2280-4ac6-84c4-3869393497a0","resolution":{"observed_at":"2026-08-16T11:35:55.927632Z","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":"2026-08-16T11:35:55.913036Z","title":"Prototype enhancement-based incremental evolution learning for urban garbage classification,","venue":null,"work_id":"7223edda-8738-4f99-a202-33f3c0254990","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.375318Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:8b26f922c1faed9bd9475772b3c79052299af5365758b24d38d0d674674f6d5f","observation_id":"353213d0-0114-42c1-94c1-ec085605e3e2","resolution":{"observed_at":"2026-08-16T11:35:55.916714Z","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":"2026-08-16T11:35:55.901926Z","title":"Class-incremental grouping network for continual audio-visual learning,","venue":null,"work_id":"c6f7a31b-112a-4d07-85ea-e991ce2a40be","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.378583Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:176977a0b84a16306316de56bdd42506bf914c1f322ac489a2ba0d399cbf8825","observation_id":"9065a1cd-76ea-470c-965b-2f18ad8151bc","resolution":{"observed_at":"2026-08-16T11:35:55.905580Z","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":"2026-08-16T11:35:55.892163Z","title":"Audio-visual class-incremental learning,","venue":null,"work_id":"6969a067-51a1-4bec-9b91-86132d697cfa","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.382067Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:04e9cabfe6b9e119c2c532de589966a6d263ef2a9e575e4fe57c0ff8dc91583e","observation_id":"f0db49ab-9b15-4268-af22-523499d00557","resolution":{"observed_at":"2026-08-16T11:35:55.895625Z","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":"2026-08-16T11:35:55.881593Z","title":"Incremental audio-visual fusion for person recognition in earthquake scene,","venue":null,"work_id":"dc213d4f-ecfa-4125-9fcd-8829f544d8ee","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.385151Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:0f5832a5cef3934c7a226e690bd78c72c1a37f9d7559983c269bcaed4adc148a","observation_id":"fdca0aec-636c-40ce-8353-79914d7bbfb0","resolution":{"observed_at":"2026-08-16T11:35:55.885277Z","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":"2026-08-16T11:35:55.871192Z","title":"Mmal: Multi-modal analytic learning for exemplar-free audio-visual class incremental tasks,","venue":null,"work_id":"75a4c32b-c4b4-4665-8ff8-e4e5186e3038","year":2024},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.388492Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:38e7730c9eba1384c8b1fcd62d4d153e9b82872cdfb86aca5c5d896d587c80ee","observation_id":"234b4395-df09-4047-aff4-aa82a42af9f4","resolution":{"observed_at":"2026-08-16T11:35:55.874945Z","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":"2026-08-16T11:35:55.860410Z","title":"Deep audio- visual learning: A survey,","venue":null,"work_id":"f71ff451-c593-49ee-8123-2b527b3f7566","year":2021},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.392033Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:ff3d4206c6c1ce9fd6a74179c817695e9db77e7a053666a92df236360a1d2ac4","observation_id":"04659bc4-8d19-4d1d-a265-dd94487b5c61","resolution":{"observed_at":"2026-08-16T11:35:55.864302Z","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":"2208.09579","last_updated":"2022-08-20T02:15:44Z","snapshot_observed_at":"2026-08-18T17:35:25.545715Z","submitted_at":"2022-08-20T02:15:44Z","title":"Learning in Audio-visual Context: A Review, Analysis, and New Perspective","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.09579","snapshot_observed_at":"2026-08-16T11:35:55.395508Z","title":"Learning in audio-visual context: A review, analysis, and new perspective,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.395508Z"},"links":{"cited_paper":"/paper/2208.09579","citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:b62d7c3aab9a6c0c7beaf4786a5356003fc05eadd7d2f9cd3dc73bf18c82840e","observation_id":"9b7590ba-12f1-4562-81dc-19ded8356d3a","resolution":{"observed_at":"2026-08-16T11:35:55.395508Z","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":"2026-08-16T11:35:55.849391Z","title":"MMFINet: A multimodal fusion network for accurate fish feeding intensity assessment in recirculating aquaculture systems,","venue":null,"work_id":"87198178-f1db-4154-ac5f-5e6e5b8d9e84","year":2025},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.399523Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:d5e1cc1dde8b1536b8538e64b8dd6deb2ab9031a4c7cf6144b917b092a3c4f0e","observation_id":"65447a24-e1e3-44e1-aeaa-a95931477f6d","resolution":{"observed_at":"2026-08-16T11:35:55.853479Z","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":"2026-08-16T11:35:55.838983Z","title":"Fish behavior recognition based on an audio-visual multimodal interactive fusion network,","venue":null,"work_id":"58dd57bb-b119-4958-bb02-eafe2fd79886","year":2024},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.403125Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:421c3d3f3c8ca63e0160d9b8450df417a7afd55b5e7631171e36b9b9f61beb2d","observation_id":"a3af2dd2-95b4-4d37-9dae-420283b29ffb","resolution":{"observed_at":"2026-08-16T11:35:55.842609Z","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":"2026-08-16T11:35:55.828691Z","title":"Intelligent fish feeding based on machine vision: A review,","venue":null,"work_id":"cc919597-4057-4f4d-8f2f-c3b50749731f","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.406890Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:bed737039fa4d5a98d55eba4efcdff38ff3fe37b8ee5c15576c1f05ed8dbbba3","observation_id":"55f31495-fd08-4c42-b880-b32cf977980a","resolution":{"observed_at":"2026-08-16T11:35:55.832639Z","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":"2202.06592","last_updated":"2022-03-09T08:55:57Z","snapshot_observed_at":"2026-08-18T17:44:45.382064Z","submitted_at":"2022-02-14T10:26:23Z","title":"Memory Replay with Data Compression for Continual Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.06592","snapshot_observed_at":"2026-08-16T11:35:55.410798Z","title":"Memory replay with data compression for continual learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.410798Z"},"links":{"cited_paper":"/paper/2202.06592","citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:51b1511e68c8bf117fe878b339dc2e24c4373db20b81cafbc71629a45aa8a6b4","observation_id":"666b6599-a291-4faf-810b-8f7d39a6f64c","resolution":{"observed_at":"2026-08-16T11:35:55.410798Z","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":"2026-08-16T11:35:55.818614Z","title":"Adaer: An adaptive experience replay approach for continual lifelong learning,","venue":null,"work_id":"c96a6607-18d9-49a8-949d-22304bf2d7bd","year":2024},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.414834Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:4ce78204c46fe95656d741dfae5cfc5290d5fc14d22d11206278a1605a8db267","observation_id":"60188511-1857-41bf-ad4b-3290c80e34e5","resolution":{"observed_at":"2026-08-16T11:35:55.822200Z","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":"2026-08-16T11:35:55.808163Z","title":"iCaRL: Incremental classifier and representation learning,","venue":null,"work_id":"fabd213a-7b06-45d7-a8fa-6f22d348673a","year":2001},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.418126Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:89e26fa42435ed2c4d1fca24e5e524390b6d0fc70b323c482d7edb4623cc603c","observation_id":"ae15a3c1-3df7-4e17-945a-0485b402037d","resolution":{"observed_at":"2026-08-16T11:35:55.811986Z","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":"2026-08-16T11:35:55.797336Z","title":"Exemplar-supported generative reproduction for class incremental learning.,","venue":null,"work_id":"0f7872d5-e598-457c-92f8-68ae6724fb20","year":2018},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.421506Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:14c670f692c8f7a86d8e438465d17aaa4e1b8f49fcacb478c14767a5e8fbe03c","observation_id":"659d7b69-956c-4289-9f00-655b07dfccad","resolution":{"observed_at":"2026-08-16T11:35:55.801363Z","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":"2026-08-16T11:35:55.786998Z","title":"Der: Dynamically expandable representation for class incremental learning,","venue":null,"work_id":"5db9d478-0452-49b2-9f02-48fc58dc7040","year":2021},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.425575Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:5edf63eb2b8463eeec6b2dd8f72e295d498fec001b52d44adf621419f6a542c2","observation_id":"bb532824-fb28-4ce7-a47c-bae27e56ddce","resolution":{"observed_at":"2026-08-16T11:35:55.790647Z","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":"1708.01547","last_updated":"2018-06-11T09:03:44Z","snapshot_observed_at":"2026-08-16T19:11:50.744209Z","submitted_at":"2017-08-04T15:14:31Z","title":"Lifelong Learning with Dynamically Expandable Networks","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.01547","snapshot_observed_at":"2026-08-16T11:35:55.429546Z","title":"Lifelong learning with dynamically expandable networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.429546Z"},"links":{"cited_paper":"/paper/1708.01547","citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:03b1bcec466e57e5afb86abe2ff40890d9c82f1df1bf2442b839ea44311e3b82","observation_id":"c726a359-d4d3-4cfa-ae4f-1f9cd9d48b3b","resolution":{"observed_at":"2026-08-16T11:35:55.429546Z","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":"2026-08-16T11:35:55.776624Z","title":"An analysis of initial training strategies for exemplar- free class-incremental learning,","venue":null,"work_id":"cfc6dee3-e3f1-40ff-a069-20532b6baaff","year":2024},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.434265Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:5fdcc87a35914b5dd775673ec930e85af9dd5fde94b25114e4d07f157a9e34ad","observation_id":"1269c8a0-be67-4f2c-876e-aa9c30567c5d","resolution":{"observed_at":"2026-08-16T11:35:55.780254Z","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":"2026-08-16T11:35:55.765758Z","title":"Continual learning with knowl- edge distillation: A survey,","venue":null,"work_id":"7afcaed2-b975-48d3-897f-1f821c9c0393","year":2024},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.437972Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:2cd782caf034f1fc76b633eb798a8341f4665bb1b4c593dcfb8779579288db2e","observation_id":"85efcb09-8adf-498f-af50-2c55730c2051","resolution":{"observed_at":"2026-08-16T11:35:55.769415Z","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":"2026-08-16T11:35:55.755899Z","title":"Overcoming catastrophic forgetting in neural networks,","venue":null,"work_id":"1d7f23ca-ae11-44ac-a3ef-900e2b97ee1e","year":2017},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.441745Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:eb1da6b439813daff9a18beae3153157c23c1bfd4d51827c0ed5968d8a93d336","observation_id":"9dbd7b84-9f28-4ebd-96d1-0dc920f3ce71","resolution":{"observed_at":"2026-08-16T11:35:55.759268Z","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":"2026-08-16T11:35:55.745641Z","title":"Memory aware synapses: Learning what (not) to forget,","venue":null,"work_id":"d0008a90-3c12-4e27-a747-dff491b7e58f","year":2018},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.445209Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:9a0ac7218e29abb046fd9e889f655d61ff508d1673031743d9cdd142ba883e0c","observation_id":"e2a5b37d-9a24-430b-a295-37e5b1fa7719","resolution":{"observed_at":"2026-08-16T11:35:55.749100Z","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":"2026-08-16T11:35:55.734211Z","title":"Rotate your networks: Better weight consolidation and less catastrophic forgetting,","venue":null,"work_id":"62fd1784-c17c-4a8e-a8dc-e15635266ffa","year":2018},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.449171Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:78f141b4e5fd5baabeed3d6a9d8bcb688e0d192d00d1fdbd0913a2e94e4d08df","observation_id":"99bb5968-3065-466a-ae48-00c190a9b2af","resolution":{"observed_at":"2026-08-16T11:35:55.738264Z","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":"2026-08-16T11:35:55.722991Z","title":"ACIL: Analytic class-incremental learning with absolute memorization and privacy protection,","venue":null,"work_id":"0916ab08-c679-4112-9b7e-0d8b14d0585a","year":2022},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.452643Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:2683d0914aea5636c3149c267eaa84a720bae84a8440f8d404ac37eb92c1d938","observation_id":"5b1aaa48-4c9a-47e0-8d22-72ce62b71d58","resolution":{"observed_at":"2026-08-16T11:35:55.726799Z","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":"2026-08-16T11:35:55.711477Z","title":"DS-AL: A dual-stream analytic learning for exemplar-free class-incremental learn- ing,","venue":null,"work_id":"5f3b480b-9ac4-4cab-b9fb-7ce2deb6f362","year":2024},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.456182Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:f0d7280bc8f2d9e0c509f322a2675da52c63c75bb9d8de71bc2e3dc76df5af7f","observation_id":"293d7292-b746-42c8-84da-a38399e45349","resolution":{"observed_at":"2026-08-16T11:35:55.715459Z","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":"2026-08-16T11:35:55.701109Z","title":"Gkeal: Gaussian kernel embedded analytic learning for few-shot class incremental task,","venue":null,"work_id":"0a177c83-4a90-45c7-9297-671f486337e5","year":2023},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.459767Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:50024e79eb129d3d14403d3db05889b08a0a677fb554d11e3b5b9f4a2d30c689","observation_id":"9ac54714-1b48-4563-8236-c6db8e712342","resolution":{"observed_at":"2026-08-16T11:35:55.704668Z","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":"2026-08-16T11:35:55.690256Z","title":"Class incremental learning with self-supervised pre-training and prototype learning,","venue":null,"work_id":"a5d9a44f-721d-4e08-8f59-60d5934c1aeb","year":2025},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.463332Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:8082624f46a64cf46d88b2f440df59ee9d191f11d859911813c3e572a50865ad","observation_id":"0114b4c6-d0fb-400a-9b48-6a0a0c1af405","resolution":{"observed_at":"2026-08-16T11:35:55.694097Z","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":"2026-08-16T11:35:55.678703Z","title":"Continual prototype evolution: Learn- ing online from non-stationary data streams,","venue":null,"work_id":"542aaa38-2d8e-4575-9eda-1902e4014f96","year":2021},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.467263Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:7e1420c4a944a768fb6875ece3fe40234e8ea16166e71dc26535039b2a799c10","observation_id":"e23e277e-eaa2-4dc9-adeb-204d3ce4b6f9","resolution":{"observed_at":"2026-08-16T11:35:55.682808Z","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":"2026-08-16T11:35:55.471285Z","title":"Class-incremental learning: survey and performance evaluation on image classification,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.471285Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:e729ad54e81bbed8a29a166750a5c31a699790d1b750ce33546c032febb71e27","observation_id":"f8d9d793-5178-4c40-a56c-f2e8420ec958","resolution":{"observed_at":"2026-08-16T11:35:55.471285Z","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":"2026-08-16T11:35:55.660892Z","title":"Rethinking spa- tiotemporal feature learning: Speed-accuracy trade-offs in video clas- sification,","venue":null,"work_id":"1ccb1060-7dff-4b0a-ab30-3dd1a342b3fc","year":2018},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.474951Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:02827b736700688678c35eb60118a68919c83a1e653505c90cfaa9404edb33f1","observation_id":"f75c57bd-502d-4eb1-b5c1-d019dbb35b6e","resolution":{"observed_at":"2026-08-16T11:35:55.664591Z","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":"2026-08-16T11:35:55.649989Z","title":"PANNs: Large-scale pretrained audio neural networks for audio pattern recognition,","venue":null,"work_id":"2fbaa231-776f-4395-b6b8-49c0dae71837","year":2020},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.478664Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:83497a2dcdb2b58100a1cf1b41e833fb7fcf3cc3b51bc4dadd7d62db76982951","observation_id":"e038eb24-ed37-465b-91b6-b3b6c1e6f015","resolution":{"observed_at":"2026-08-16T11:35:55.653747Z","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":"2026-08-16T11:35:55.638779Z","title":"Audio set: An ontology and human- labeled dataset for audio events,","venue":null,"work_id":"b8bd9821-6e6d-4ad5-8006-2562e90476b0","year":2017},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.482508Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:c32f26854fdb7707017eaec76b96869c523a87027982e77488c3e9cf40c80891","observation_id":"bc5a2752-c970-44e6-b96d-515a9b278e6b","resolution":{"observed_at":"2026-08-16T11:35:55.642771Z","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":"1904.08779","last_updated":"2019-12-03T18:19:07Z","snapshot_observed_at":"2026-08-15T18:44:59.455586Z","submitted_at":"2019-04-18T17:53:38Z","title":"SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.08779","snapshot_observed_at":"2026-08-16T11:35:55.485946Z","title":"Specaugment: A simple data augmentation method for automatic speech recognition,","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.485946Z"},"links":{"cited_paper":"/paper/1904.08779","citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:0d62fb1af4da09dfc88f3dee938ae266c16d1af6bde705d1a4a1e6578417a4d1","observation_id":"03cb205e-8e0b-4d46-9b65-52875d06e5ff","resolution":{"observed_at":"2026-08-16T11:35:55.485946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.06950","last_updated":"2017-05-19T12:07:01Z","snapshot_observed_at":"2026-08-15T11:35:18.832923Z","submitted_at":"2017-05-19T12:07:01Z","title":"The Kinetics Human Action Video Dataset","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.06950","snapshot_observed_at":"2026-08-16T11:35:55.489848Z","title":"The kinetics human action video dataset,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.489848Z"},"links":{"cited_paper":"/paper/1705.06950","citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:460b53bb9200fd34ea81938c59ff563c9e9230ff33f4c12a3004eab32c24c288","observation_id":"a795d09e-69a6-4715-9f58-8891e518baf8","resolution":{"observed_at":"2026-08-16T11:35:55.489848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-16T11:35:55.493544Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.493544Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:89cc4195276c33600676dc6725a8d32f5309aacd63deaabfafa6632d9acbd4bf","observation_id":"7ff2388e-3321-41ac-9d49-ea95fb790de8","resolution":{"observed_at":"2026-08-16T11:35:55.493544Z","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":"2026-08-16T11:35:55.626976Z","title":"SS- IL: separated softmax for incremental learning,","venue":null,"work_id":"d6f67085-c3d9-4371-afeb-85e606622ef8","year":2021},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.497067Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:2cef9a6e040ae97f4e4de9739e1a65a45125db52fa1060ae09fa54790fe01f47","observation_id":"a000f3fd-99c6-4cf6-b78f-a5050fe22b87","resolution":{"observed_at":"2026-08-16T11:35:55.630821Z","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":"2026-08-16T11:35:55.614336Z","title":"Class-incremental learning by knowledge distillation with adaptive feature consolidation,","venue":null,"work_id":"f7ed78df-495e-40e7-b9ca-c74a06e3cbf1","year":2022},"citing_paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-16T11:35:55.500453Z"},"links":{"citing_paper":"/paper/2504.15171"},"observation_digest":"sha256:af76bce268bdb697dcae2d3b178d3c4ac46f257ec3e3418245b1e2a8dead11bd","observation_id":"e86016eb-efe6-4edf-b800-2435e4fd1557","resolution":{"observed_at":"2026-08-16T11:35:55.619626Z","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"}}],"paper":{"arxiv_id":"2504.15171","last_updated":"2025-04-21T15:24:34Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T17:45:00.011908Z","submitted_at":"2025-04-21T15:24:34Z","title":"Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":53},"total_outbound_references":64},"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 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2504.15171."}