{"as_of":"2026-08-20T12:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2a2528c803f56fb1455d71db437bcd64bcf53cbfaf2c81be1d8d7d79ee1a0452","coverage":[{"denominator":74,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":74,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:30:58.041553Z","state":"measured"},{"denominator":75,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":75,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T10:24:51.123608Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.12861","snapshot_observed_at":"2026-08-04T10:24:51.123608Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.09953","last_updated":"2026-08-13T22:41:22Z","snapshot_observed_at":"2026-08-19T23:09:00.517661Z","submitted_at":"2025-10-11T01:53:28Z","title":"J-RAS: Mutual Adaptation for Medical Image Segmentation via Contrastive Retrieval-Augmented Joint Optimization","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T10:24:51.123608Z"},"links":{"cited_paper":"/paper/2505.12861","citing_paper":"/paper/2510.09953"},"observation_digest":"sha256:ed821e7b8f23a73577d48d55e0c291559b5c0ae261af63993b69725baccdfc98","observation_id":"e171ae3a-f1d2-4bc2-9488-199cebb6f9e4","resolution":{"observed_at":"2026-08-04T10:24:51.123608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.12861/citation-record","integrity":"/paper/2505.12861/integrity","json":"/paper/2505.12861/citation-record.json","paper":"/paper/2505.12861"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:59.951761Z","title":null,"venue":null,"work_id":"d2132bba-896b-48d1-bc5e-5a3e4f5dc329","year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.573276Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:1011ee0d632f7d02637f54cee9e00f7d3617531c16568ed7f50ac1b006a275e1","observation_id":"f01efaf5-0188-4cb6-a8af-f9f466f0883a","resolution":{"observed_at":"2026-08-15T20:30:59.957973Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.933109Z","title":"Eigen and R","venue":null,"work_id":"d8a41076-5ab6-460f-86c0-552b7489f707","year":2015},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.580320Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:2a8b6fbaf913c04b0ebf5ec8382160db4b04efb9dd9e33b13305e409dc1d919a","observation_id":"0877e50f-b8d9-4377-bc2f-94f0fb28d617","resolution":{"observed_at":"2026-08-15T20:30:59.938504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.914535Z","title":null,"venue":null,"work_id":"60a7066d-acdb-43e0-bd6d-0f49e7067728","year":2016},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.586931Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:e5729e4ce5a9564e9e1ba581bbccea0108e05c95bc34e7f76aa9a77e88c4ae01","observation_id":"e363001d-bc60-4711-811a-c670df94cf93","resolution":{"observed_at":"2026-08-15T20:30:59.920461Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18016","last_updated":"2025-03-23T10:33:28Z","snapshot_observed_at":"2026-08-16T12:47:37.707082Z","submitted_at":"2025-03-23T10:33:28Z","title":"Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18016","snapshot_observed_at":"2026-08-15T20:30:57.598178Z","title":"Zheng, Z","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.598178Z"},"links":{"cited_paper":"/paper/2503.18016","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:e6a2ed582c11dc33de7f78df29b59f9e89efe40214c825a980fd2d5ceae0dad2","observation_id":"be911500-9d81-4be0-9368-3fe0e4981126","resolution":{"observed_at":"2026-08-15T20:30:57.598178Z","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":"2026-08-15T20:30:59.897459Z","title":null,"venue":null,"work_id":"9dafdf68-812b-4350-acaf-1d4b5ac37d11","year":2015},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.606176Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:fd0018278f437e6dd9d1fee16fb02218bd47ccab977c9972a42dfe03bc5f68f2","observation_id":"33b21dac-e5d4-4c9c-903c-1f4079cbb8bb","resolution":{"observed_at":"2026-08-15T20:30:59.902498Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.879024Z","title":null,"venue":null,"work_id":"61ca0860-58f6-4d97-81b2-4e54ffaab00c","year":2023},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.612545Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:b1f3c28a6dd9f65e8133aad32865f0562d6c85b3b51b952e93a9f4d76305fd04","observation_id":"515b0aa7-e37a-4143-8f26-541a4a613c3f","resolution":{"observed_at":"2026-08-15T20:30:59.885129Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.856459Z","title":null,"venue":null,"work_id":"2ad43b1b-f4e6-449f-995c-516091b5a625","year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.619888Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:970cd07e708cfdb84e64069e3e6c33adbcd571f0aabc10eefa35b78c6905cd45","observation_id":"a60089ae-8f50-4541-99ff-ea892a3a4146","resolution":{"observed_at":"2026-08-15T20:30:59.862611Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.837809Z","title":null,"venue":null,"work_id":"91c8313e-a692-43e0-aa37-923c6d5f0361","year":2025},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.626071Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:54994f4e96da9a85753b0ebe6e61a822cbe73d05784696c9bdcfd0a8015b691d","observation_id":"0734e7f6-a6f1-4eba-a464-c3d835ac4207","resolution":{"observed_at":"2026-08-15T20:30:59.843155Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16108","last_updated":"2024-05-25T07:45:41Z","snapshot_observed_at":"2026-08-18T18:24:53.484623Z","submitted_at":"2024-05-25T07:45:41Z","title":"OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16108","snapshot_observed_at":"2026-08-15T20:30:57.632452Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.632452Z"},"links":{"cited_paper":"/paper/2405.16108","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:4a48e94c54712c887d61a3e53e255ee60630dede96f0f4ab3a02af60e23892a5","observation_id":"d91f5d95-7c46-49ff-bc58-6c27f883883f","resolution":{"observed_at":"2026-08-15T20:30:57.632452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17664","last_updated":"2024-01-31T08:35:40Z","snapshot_observed_at":"2026-08-18T08:59:35.782900Z","submitted_at":"2024-01-31T08:35:40Z","title":"Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17664","snapshot_observed_at":"2026-08-15T20:30:57.638758Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.638758Z"},"links":{"cited_paper":"/paper/2401.17664","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:2ac07d0a724c0a65f8ed4c6b88b1293a98ebc53eba07321a81cc0bff1baf6dcd","observation_id":"653c4bef-890d-429d-8fc2-c603644eedcd","resolution":{"observed_at":"2026-08-15T20:30:57.638758Z","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":"2026-08-15T20:30:59.820350Z","title":null,"venue":null,"work_id":"74d0fe86-512a-4456-ba59-ddecddc96220","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.644640Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:1577f924147c0359d94e84caf52514be934dcc325f265507f73d91bbbca06df7","observation_id":"4bda0976-694e-4761-99a6-caf0055acf97","resolution":{"observed_at":"2026-08-15T20:30:59.825588Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.802183Z","title":"Zanuttigh, G","venue":null,"work_id":"0ad9c1db-1b8b-4e2a-8751-f1a15c40b264","year":2016},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.650166Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:51ae3f733c8ded13a8486286850ff96bf1cae05678d3d43421447436de453883","observation_id":"6de61faf-7717-4642-9ad7-ef66cfe84ffd","resolution":{"observed_at":"2026-08-15T20:30:59.808055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.783018Z","title":null,"venue":null,"work_id":"d5a47ecd-2b5f-49ac-8221-75360fb2d1eb","year":2020},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.655517Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:031c53873861b056f57b90e18f6258d55c7512c012f95e6bd43424e68117b574","observation_id":"b6a10f1c-e748-4019-99ec-686ac7902c49","resolution":{"observed_at":"2026-08-15T20:30:59.789241Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.763454Z","title":null,"venue":null,"work_id":"07bd7999-633c-4a71-875e-ab354dbc942f","year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.661354Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:baaea3a9312aa7de8ed079e0a2e5e399258f5e338db046629dde26d2a1ee0187","observation_id":"a8d785d3-4e29-45e3-bec1-3cda301fe475","resolution":{"observed_at":"2026-08-15T20:30:59.769297Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.744090Z","title":"Camuffo, D","venue":null,"work_id":"e4e122a2-1599-490b-a234-fbc31f140795","year":2022},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.666864Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:41fddce347301d3195649275b1d82261b5bcf8747be70d9867709cc151799178","observation_id":"62773871-79d4-429e-9457-b64eca3662e8","resolution":{"observed_at":"2026-08-15T20:30:59.750318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.725369Z","title":"Li and J","venue":null,"work_id":"883b27ef-6ec7-4e01-a7f9-605aa6f8c2a7","year":2020},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.672980Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:1f079e6eaefcd7924ae7f184757102c74bf4cfaf17141c24e02dc2f5d44de5e2","observation_id":"68a5aac5-f98d-4b15-b016-47d0be59215e","resolution":{"observed_at":"2026-08-15T20:30:59.730643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.706713Z","title":"Padmanabhan, C","venue":null,"work_id":"6f07332c-5049-4c6f-b1c3-9b476bc0e3d1","year":2019},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.679645Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:5bfb8210904055c0c773195e729c0944871a0887c095f93dab1dace2cc895ba7","observation_id":"d01194bc-b2b8-452d-aac8-37722755f820","resolution":{"observed_at":"2026-08-15T20:30:59.711967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.686999Z","title":null,"venue":null,"work_id":"de1b6895-b683-49e1-9744-cc09d50292a1","year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.685954Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:3d9c014cfa8707a56d04acb8299cd039061bbb9e420aca63311a2a260c3a2c30","observation_id":"9f56ba07-8a48-4d13-b506-cb12d4135a80","resolution":{"observed_at":"2026-08-15T20:30:59.692816Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.664612Z","title":"Alonso and A","venue":null,"work_id":"0db5fece-5604-47bd-a52a-bf1f51f29c78","year":2019},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.691526Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:1ebbf5ce1788356f2c6c9acbf93af8a112601912ea845ff90954d08a73db672c","observation_id":"961bfd9f-34da-487a-ba00-8a52d2b7ecba","resolution":{"observed_at":"2026-08-15T20:30:59.670118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.637664Z","title":"Zhang, K","venue":null,"work_id":"e3994a4f-8d5b-46a1-95ce-0c32086682c8","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.697409Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:42ba15dffb85fca5c7980699880054e40113972b721f763c86c550a238c00b56","observation_id":"8e9428f9-8f43-49fa-9ecc-62f8b5d30c11","resolution":{"observed_at":"2026-08-15T20:30:59.645590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.613943Z","title":"Zheng and L","venue":null,"work_id":"c4b7ee43-73d4-4937-ab73-37258165f64c","year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.703058Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:af1d4d9db7738baf950fb1c8d821f9575722e4d9ffe9a220144e1cff70f5e84d","observation_id":"0814ecce-d8ce-46e3-8f7d-44d62854a037","resolution":{"observed_at":"2026-08-15T20:30:59.621135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.586734Z","title":null,"venue":null,"work_id":"af43c79c-d96a-40a1-a2f8-e6420911bcb2","year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.711081Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:92ecad9d7fe094103c6a0873067617cf8a69144b8312164aec0915801ef8452a","observation_id":"d67a33b1-781d-44d1-8a22-f9728bc7de5f","resolution":{"observed_at":"2026-08-15T20:30:59.598783Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.03135","last_updated":"2024-07-24T13:50:56Z","snapshot_observed_at":"2026-08-16T15:10:28.775050Z","submitted_at":"2023-08-06T15:05:42Z","title":"EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.03135","snapshot_observed_at":"2026-08-15T20:30:57.719449Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.719449Z"},"links":{"cited_paper":"/paper/2308.03135","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:8231837c9209c6d2984900df80eeb852b37ef02f3807a27738d5c05b12ec5e90","observation_id":"00c6f44c-b8e1-4f12-be4d-412383d75fb9","resolution":{"observed_at":"2026-08-15T20:30:57.719449Z","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":"2026-08-15T20:30:59.566039Z","title":null,"venue":null,"work_id":"150046b0-4516-4925-a142-7402c11cc57c","year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.727033Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:0b0a7de1b0ea2548f5282976db758b12b932dabc0a960f00d49c2f9ac6b96a12","observation_id":"0036ed58-23df-4b6b-9c04-d784d5f8567b","resolution":{"observed_at":"2026-08-15T20:30:59.571901Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12778","last_updated":"2024-09-23T01:18:21Z","snapshot_observed_at":"2026-08-19T16:33:38.855513Z","submitted_at":"2024-09-19T13:46:19Z","title":"EventDance++: Language-guided Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition","version":2},"cited_work":{"arxiv_id":"2409.12778","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.12778","snapshot_observed_at":"2026-08-15T20:30:58.577900Z","title":"EventDance++: Language-guided Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition","venue":"cs.CV","work_id":"79ee9cb9-8468-4d03-b391-e292fe3a2bf8","year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.733738Z"},"links":{"cited_paper":"/paper/2409.12778","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:6b6cc8bf80224551d87c764faaefcd3610290a923c9b5d23e926c82632179af5","observation_id":"44c605d2-189d-42c2-b932-c5e0561cfe93","resolution":{"observed_at":"2026-08-15T20:30:58.586166Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06700","last_updated":"2025-03-20T18:36:20Z","snapshot_observed_at":"2026-08-18T08:58:35.718160Z","submitted_at":"2025-03-09T17:33:15Z","title":"MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06700","snapshot_observed_at":"2026-08-15T20:30:57.740676Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.740676Z"},"links":{"cited_paper":"/paper/2503.06700","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:b815be249c67a6ab2f421559ace7ca8118996038cb3eb4fc3fca44b6c470ec0f","observation_id":"2a7df5b2-227d-41bd-bbf6-3df39c23d6bc","resolution":{"observed_at":"2026-08-15T20:30:57.740676Z","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":"2026-08-15T20:30:59.543524Z","title":null,"venue":null,"work_id":"92050a87-6613-4a39-9c9f-4e4efc5b29cf","year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.746917Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:51e141212923c422b9277ce3aac594801dbf8aa235a9c89927e01c333bd64213","observation_id":"b43acf93-101b-442f-983c-a66992145c0a","resolution":{"observed_at":"2026-08-15T20:30:59.551274Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.524524Z","title":null,"venue":null,"work_id":"700a4569-243a-4006-939b-42ebd72a61fe","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.753346Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:7a9902219b32c4affb13e805111e04e6c0cbe3bef3d365200e0b24bfc1c1d15a","observation_id":"e479bc8b-c237-499d-9813-30656e6bae8c","resolution":{"observed_at":"2026-08-15T20:30:59.530309Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.506159Z","title":"Zhang, H","venue":null,"work_id":"57846b07-8d5b-43a7-9a4c-8f82b9ac1a93","year":2023},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.759342Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:c6ab20a254d1d32a6c55af0e618a599c7d3fcc32c64d17f964fc60d7095b6e7f","observation_id":"a7ff5acf-6a6a-451a-8c6d-09174acc5bd8","resolution":{"observed_at":"2026-08-15T20:30:59.511557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.483625Z","title":"Zhang, R","venue":null,"work_id":"3db9152a-dbbb-4b55-a81b-25b20505b99e","year":2023},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.764988Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:42a337f9ab48190cc1091aae878b8a21cbd1323ffd0042ed98b744abbd592ea0","observation_id":"b97a9307-ec18-4a83-bfae-91eac2061d42","resolution":{"observed_at":"2026-08-15T20:30:59.492035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:57.770666Z","title":"Zhong, X","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.770666Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:11c90d1983e2b87958679f28b68436088e2250b67f359c965b0133b64e5cd973","observation_id":"b7a68424-63e7-4858-a24d-42bff41c83b4","resolution":{"observed_at":"2026-08-15T20:30:57.770666Z","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":"2026-08-15T20:30:59.462697Z","title":null,"venue":null,"work_id":"34c2d9a6-5827-467f-adca-42ed98e09c14","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.775984Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:ed73f3bb4c568fa02a509900f14dc2ebeb6db9aca0ff9206387df2b48c80f9e1","observation_id":"766cb5be-a71f-4265-abe0-8c443ef6578b","resolution":{"observed_at":"2026-08-15T20:30:59.468447Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.440812Z","title":"Pfeuffer and K","venue":null,"work_id":"d2156171-375f-4a46-8289-ff1f776b25d6","year":2019},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.782583Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:c49b32fb2e8c43bb068c00755f4abc16ce42d252d898c00f23191c930a0bd91f","observation_id":"024c1efb-d63c-4cdf-bdac-7934f6ad62d2","resolution":{"observed_at":"2026-08-15T20:30:59.446980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.419266Z","title":null,"venue":null,"work_id":"46b6b27c-614c-41a2-932e-5f7a9beda8c4","year":2022},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.788784Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:5add70070ac92e608640cdcc0f3fc53865289fcede2dfb858335a87af8a3dc3b","observation_id":"1bae6500-7445-4ef3-9563-7b0d1c004c15","resolution":{"observed_at":"2026-08-15T20:30:59.426608Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.399029Z","title":"Huang, J","venue":null,"work_id":"6ca5614c-5f8b-4692-933f-2385e504156b","year":2022},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.796109Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:dc9ca0ad0fcda789f09288e19d6549cfb3c99f410208057e65f32e34bc5b70c3","observation_id":"ed3dd9a7-9e74-4410-82fb-23f657dbcdfa","resolution":{"observed_at":"2026-08-15T20:30:59.404997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.380057Z","title":"Kleinman, A","venue":null,"work_id":"8437a141-76dd-42cb-8eb7-e762eabde986","year":2023},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.801734Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:f835469aed8dd769c6b73017dbacd4dffd05939c56d8142bc98ca0cebc1d6854","observation_id":"2fde277d-7c88-4465-ba9e-945386f82879","resolution":{"observed_at":"2026-08-15T20:30:59.385800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.358515Z","title":null,"venue":null,"work_id":"a18d381b-b588-4651-84fb-a9e9ea439d79","year":2022},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.808372Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:9ed16bf01de88d2b864a0cad6dc7d0cd1abd1085202ecae00f554dc11c6749ff","observation_id":"3f14cefd-fa12-413e-971c-b5cb39ea1a3c","resolution":{"observed_at":"2026-08-15T20:30:59.364345Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11051","last_updated":"2025-05-27T14:55:38Z","snapshot_observed_at":"2026-08-19T12:26:31.398068Z","submitted_at":"2025-02-16T09:23:50Z","title":"MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11051","snapshot_observed_at":"2026-08-15T20:30:57.814473Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.814473Z"},"links":{"cited_paper":"/paper/2502.11051","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:3d9e6889496718398974065911bbd6ed06a309ee01dcb26bcfb6a35279a2b569","observation_id":"c4af39ea-b576-443a-9cf7-f5e47f6da2cd","resolution":{"observed_at":"2026-08-15T20:30:57.814473Z","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":"2026-08-15T20:30:59.337033Z","title":"Dancette, R","venue":null,"work_id":"bdceacec-e932-4d6e-a66c-928ba4ea2465","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.823205Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:be7a58a9fa7f3f5d9c13ba9b383001f6b9a157e54006aab7a0024e64f93c0177","observation_id":"2f571b76-d461-447e-8e64-86a609ba3091","resolution":{"observed_at":"2026-08-15T20:30:59.343823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.315504Z","title":null,"venue":null,"work_id":"6b16517b-8982-46b7-8016-eefb3c7e3c08","year":2020},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.828668Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:f74a16df44ff9949f67d309fe2afb666dbaf07fcacc4f3c299f72fd8a78af0bc","observation_id":"e453803c-d984-4ca6-9c56-ba1e22ab51e5","resolution":{"observed_at":"2026-08-15T20:30:59.322115Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.292672Z","title":null,"venue":null,"work_id":"d7406269-ce23-47f7-8cdb-0dd97b7ec4cb","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.834212Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:27dc9710acf69f99224bc6a1c1e7113c26b1cb988c4f9f52172b8996ccf62b29","observation_id":"a2d20d55-6c61-4be9-ad8d-ee6a3ce33840","resolution":{"observed_at":"2026-08-15T20:30:59.299877Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.268727Z","title":"Huang, C","venue":null,"work_id":"202ea47c-bd40-44d1-a1f2-3c1243b3d391","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.841996Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:1767125f93b1793ef98a9ee7d21b62c82074c35df663ddba45e512d009a3f476","observation_id":"9a859ddc-5a67-48a6-9ec8-866a2f442fd8","resolution":{"observed_at":"2026-08-15T20:30:59.275980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.241696Z","title":"Vosoughi, S","venue":null,"work_id":"cb75ff16-3b58-4d6d-87d8-c9f191d628c0","year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.847437Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:be279ef30c84d59ef87370869888c77dd5c4a16e0d844be820c7fbc3a75f1555","observation_id":"ee7b8fd7-65a6-4f61-8a36-4ed5ea6833a0","resolution":{"observed_at":"2026-08-15T20:30:59.251134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02581","last_updated":"2025-07-22T13:20:58Z","snapshot_observed_at":"2026-08-18T08:58:31.049671Z","submitted_at":"2025-03-04T13:04:46Z","title":"Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02581","snapshot_observed_at":"2026-08-15T20:30:57.853154Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.853154Z"},"links":{"cited_paper":"/paper/2503.02581","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:4ced83f41abe43908973dab0348bba895d5bf9b7aa9e7fc0b85f8db301af9716","observation_id":"bc8c2481-e51c-412e-ac7e-b27307c3b3ee","resolution":{"observed_at":"2026-08-15T20:30:57.853154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17141","last_updated":"2025-05-15T18:54:21Z","snapshot_observed_at":"2026-08-12T12:25:58.124112Z","submitted_at":"2024-11-26T06:15:27Z","title":"Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17141","snapshot_observed_at":"2026-08-15T20:30:57.858923Z","title":"Zheng, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.858923Z"},"links":{"cited_paper":"/paper/2411.17141","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:6ff9c92af2b951db5e78e4e1d744af263c6fb7a8d806c5447747a56523ef4979","observation_id":"d3839e2c-6bc0-49a5-afd1-1ef63b30bb38","resolution":{"observed_at":"2026-08-15T20:30:57.858923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18445","last_updated":"2025-04-10T08:56:52Z","snapshot_observed_at":"2026-08-19T11:03:12.175578Z","submitted_at":"2025-03-24T08:46:52Z","title":"Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18445","snapshot_observed_at":"2026-08-15T20:30:57.865064Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.865064Z"},"links":{"cited_paper":"/paper/2503.18445","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:da3a4fe0981f8f10bdea12a00c8f98a649a18dd574aa05cf86b7bbf91de58ded","observation_id":"9aec7160-7bf5-4459-a4c0-506eccca6ab6","resolution":{"observed_at":"2026-08-15T20:30:57.865064Z","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":"2026-08-15T20:30:59.215165Z","title":"Br \\\"o dermann, D","venue":null,"work_id":"e3ec7e4f-4c7f-43a3-80b1-a6d8ab379a62","year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.871730Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:6956362d41e0878016801ed4b579a9046a41a60b0a5c8910a5d517efa797193b","observation_id":"1e897004-9e02-497e-82ed-10e4410ebb96","resolution":{"observed_at":"2026-08-15T20:30:59.221219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.194791Z","title":"Liang, R","venue":null,"work_id":"b21eb78b-7d8b-413e-9327-c5822252df90","year":2022},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.877645Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:8486581e5b438a1f531e395314675d5b4c2cd0a99bf1f16296ad52ad134fd9f5","observation_id":"8c4010cd-7ec0-4445-bed8-94a080dee757","resolution":{"observed_at":"2026-08-15T20:30:59.201810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1506.04579","last_updated":"2015-11-19T22:19:28Z","snapshot_observed_at":"2026-08-14T22:44:24.911468Z","submitted_at":"2015-06-15T13:00:59Z","title":"ParseNet: Looking Wider to See Better","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.04579","snapshot_observed_at":"2026-08-15T20:30:57.883954Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.883954Z"},"links":{"cited_paper":"/paper/1506.04579","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:1ec8e9f1f320e9d29baf039b341cf93c737d9e6952eeea421d2162b39163df1b","observation_id":"22acb5e1-1d90-4041-b0c6-277aa45a4cb0","resolution":{"observed_at":"2026-08-15T20:30:57.883954Z","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":"2026-08-15T20:30:59.172266Z","title":null,"venue":null,"work_id":"80cbe1a8-8d01-49d2-baa1-ea7774b764c1","year":2015},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.891072Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:fc0bc455650999fca4928476909545840cef332f47ce6dcc21c53d0db46a1f39","observation_id":"c828e216-beae-4216-a8c3-b0068f88d05b","resolution":{"observed_at":"2026-08-15T20:30:59.177889Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.7062","last_updated":"2016-06-07T04:00:08Z","snapshot_observed_at":"2026-08-14T23:06:27.726818Z","submitted_at":"2014-12-22T17:18:33Z","title":"Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.7062","snapshot_observed_at":"2026-08-15T20:30:57.897338Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.897338Z"},"links":{"cited_paper":"/paper/1412.7062","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:38a8648a990bd992b6420b63ace0527fa9c899f7f6d4af221868dd6ad8ea16fc","observation_id":"df5ecec1-88e5-4bcd-aabe-7061abcda1d4","resolution":{"observed_at":"2026-08-15T20:30:57.897338Z","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":"2026-08-15T20:30:59.139119Z","title":null,"venue":null,"work_id":"1e7afa16-c196-48fc-88ed-bfd09634f6c2","year":2018},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.902843Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:db0d5ebf6d2ee14b1b90685aa46434782f949e88dd603f19675a6a85a908f4e1","observation_id":"864370d6-eb84-4efa-bb78-52436658b7dc","resolution":{"observed_at":"2026-08-15T20:30:59.146216Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.117240Z","title":null,"venue":null,"work_id":"4780539e-1475-4082-b68f-50ce02bf4e7f","year":2017},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.909379Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:f5336d5494220408213e345a26f7e3905626d77115ae9ed3dbafc05f7ca534c6","observation_id":"90ec4641-4218-4e11-be62-add1a18c04a9","resolution":{"observed_at":"2026-08-15T20:30:59.123946Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.093779Z","title":"Strudel, R","venue":null,"work_id":"23452801-c61f-4abe-a7ce-560669a97689","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.915023Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:100bf530b1a3873a3ac51ab121aa5b2001a0dc538e8072137f3c439551d5aa8c","observation_id":"ab616980-16d0-4479-8411-813b942cbd42","resolution":{"observed_at":"2026-08-15T20:30:59.100392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.065007Z","title":"Zheng, J","venue":null,"work_id":"9f489ee8-9b7d-4d78-afd9-f9629b583c93","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.920401Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:9bd97aefd60eba53b43b17feb65897ec94bf772f98fbf79baad8ff9d8824a7bb","observation_id":"aacd8299-ae71-461d-a667-0eeb68307a2b","resolution":{"observed_at":"2026-08-15T20:30:59.072294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.042132Z","title":null,"venue":null,"work_id":"8577437a-b643-4e8a-a85a-c71b3928d279","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.926269Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:9eef8d9ed11a16b75633f768676d09ecd6fcd95072ea315439f5ca5dc49276ae","observation_id":"165f2fa9-ca87-4512-ae77-8086a2bf7f1a","resolution":{"observed_at":"2026-08-15T20:30:59.048415Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:59.021622Z","title":null,"venue":null,"work_id":"bc7fd415-2aca-4924-b488-8f00e7c4cc40","year":2022},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.935089Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:f906fe672c9a06984b3ef25a0cc6b3584339c66d3db1335789a08effc994d826","observation_id":"e8ec6a23-7e87-49ce-9a7f-a82d66ca0ac0","resolution":{"observed_at":"2026-08-15T20:30:59.027546Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.16876","last_updated":"2024-12-22T06:12:03Z","snapshot_observed_at":"2026-08-15T05:47:29.055177Z","submitted_at":"2024-12-22T06:12:03Z","title":"MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.16876","snapshot_observed_at":"2026-08-15T20:30:57.942874Z","title":"Zheng, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.942874Z"},"links":{"cited_paper":"/paper/2412.16876","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:581b7ee405ee53f7fbfc4e4bb196aaa96da322d91546ffbfffc79c6605454878","observation_id":"99c79810-2b6b-42d7-b0fe-a8954b2c82f5","resolution":{"observed_at":"2026-08-15T20:30:57.942874Z","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":"2026-08-15T20:30:57.948741Z","title":"Hinton, O","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.948741Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:8feb526775daddca94e10933e2f8268b0131342a387fd2a81d497033512ea4e9","observation_id":"8a6fc725-83a4-4208-a735-8223b36751eb","resolution":{"observed_at":"2026-08-15T20:30:57.948741Z","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":"2026-08-15T20:30:59.000862Z","title":"Aytar, C","venue":null,"work_id":"0c615571-4f41-44aa-a3ff-979303ad9349","year":2016},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.954131Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:95ec383cda5d632b683dc577b33efb0204cf28aa9373cc688f08af7abcccfa5c","observation_id":"eb3479b6-87b2-43e5-9a23-73033f811ae0","resolution":{"observed_at":"2026-08-15T20:30:59.007326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:58.968931Z","title":"Gupta, J","venue":null,"work_id":"57f7388c-af10-4d8b-be59-8afa085087a8","year":2016},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.961759Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:3bd20f0580b72b94517e277ca857e02dcb7845b664266a23c873bfff3663d0a4","observation_id":"c5981ac6-f553-465f-af79-e1ce38906c94","resolution":{"observed_at":"2026-08-15T20:30:58.976555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:58.945465Z","title":null,"venue":null,"work_id":"e5959903-f659-4c49-be2d-be4c76dc0fd5","year":2020},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.968380Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:32a2856f929810a4c054e7ececa21799e1b17fb50eb1bf6ec77327211f161756","observation_id":"0331367a-1d2d-4f42-96f0-9e612bf74c52","resolution":{"observed_at":"2026-08-15T20:30:58.951210Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:58.915665Z","title":null,"venue":null,"work_id":"5643cf05-1654-41e9-a6a9-9da62d45b6b5","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.973788Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:babe2e916a57b645248bb322e8d0e92fabf169b92dbf6e32a6da51f1ec417953","observation_id":"5066acec-9f16-426f-b3e7-cba6f021bf16","resolution":{"observed_at":"2026-08-15T20:30:58.927318Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:58.887372Z","title":null,"venue":null,"work_id":"2e6f09d7-03c4-446e-b756-e1aba663bdd0","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.979387Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:dde2bf9c06af17f2966838e784ebf17acc22d8b4bdb470d2263a6827b75ed3be","observation_id":"7e33b992-5b23-4a9e-a564-51334b7970fd","resolution":{"observed_at":"2026-08-15T20:30:58.893228Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07775","last_updated":"2023-04-27T04:08:08Z","snapshot_observed_at":"2026-08-18T18:25:38.532551Z","submitted_at":"2023-04-16T13:16:58Z","title":"Robust Cross-Modal Knowledge Distillation for Unconstrained Videos","version":2},"cited_work":{"arxiv_id":"2304.07775","doi":null,"metadata_source":"pith","pith_arxiv_id":"2304.07775","snapshot_observed_at":"2026-08-15T20:30:58.147095Z","title":"Robust Cross-Modal Knowledge Distillation for Unconstrained Videos","venue":"cs.CV","work_id":"4beafa20-d4a4-47cf-821d-b143595b5473","year":2023},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.985759Z"},"links":{"cited_paper":"/paper/2304.07775","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:e0125a692d77f7aa083a05e61dcddc27d17e43849e7e0cca033fc0d6935729d5","observation_id":"377ee6c9-5da1-4cb1-8cf4-54a4d6e20729","resolution":{"observed_at":"2026-08-15T20:30:58.158906Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:58.859701Z","title":null,"venue":null,"work_id":"971666a0-339b-4fdd-9396-ee115287d25c","year":2023},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.991725Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:5f23fa987712df07901a3ec9d491aad5be3e65dc98f1b5fea70a1ec8e7fc8679","observation_id":"bea32712-c59f-4171-b5d9-e20fbc33c8f3","resolution":{"observed_at":"2026-08-15T20:30:58.867426Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:58.832139Z","title":null,"venue":null,"work_id":"279b15f7-7180-47a7-8d5f-ecd3dab3fb85","year":2020},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:57.997783Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:eb775f68b44a400fa9dffe2498f330bfedd3471b1b948419cc26f742918354b9","observation_id":"c18bda28-4a1b-40ef-b556-6be0d607e71e","resolution":{"observed_at":"2026-08-15T20:30:58.842194Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:58.802049Z","title":null,"venue":null,"work_id":"50efc64e-f43b-48ce-a3e9-3048a0814a81","year":2022},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:58.003084Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:93e79fa0a1916b7df816f2c0599fa42316b36f8302ca510d813907be47f4ef7d","observation_id":"54096bab-b521-4fb9-9d9e-a92b87d5e424","resolution":{"observed_at":"2026-08-15T20:30:58.810356Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:58.776427Z","title":null,"venue":null,"work_id":"285f164a-7d2e-4c85-a646-0134acd7aa12","year":2021},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:58.008433Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:4319835f6b90d582267e62dad3eb7b7d2d4a72e17c7dbfbc75da95094f5d1c3d","observation_id":"2cb1918a-3b04-4a56-8d3a-60408b813f4a","resolution":{"observed_at":"2026-08-15T20:30:58.783399Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:58.748043Z","title":null,"venue":null,"work_id":"5f861d1f-b5ae-46fb-9e6d-584557e0073b","year":2023},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:58.015367Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:694e10867206dc8d4ed5b55d35dd8adf9702f57c375f41f1f133b5ae7cd38a48","observation_id":"53f74ec2-e022-4833-a05d-b27877ce92d9","resolution":{"observed_at":"2026-08-15T20:30:58.755064Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T20:30:58.724414Z","title":"Zheng, Y","venue":null,"work_id":"2c282adb-20af-4e7d-9ac9-03304d79dfc5","year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:58.021393Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:8af8f2121ac0cf408dcfc25b1d93e2fc66c229797d4e6c8b89aa76c4021b7f02","observation_id":"c8ea519a-575e-4a20-9eaf-12c253fe1370","resolution":{"observed_at":"2026-08-15T20:30:58.732319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01210","last_updated":"2024-06-04T03:14:19Z","snapshot_observed_at":"2026-08-18T18:24:54.103991Z","submitted_at":"2024-06-03T11:24:15Z","title":"GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01210","snapshot_observed_at":"2026-08-15T20:30:58.027042Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:58.027042Z"},"links":{"cited_paper":"/paper/2406.01210","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:0eb2b13e5304604ad405128114f0d2473e49a53e73a17b9ec569c8bdeae8762f","observation_id":"1616d885-484b-470c-b643-fd63baf950d7","resolution":{"observed_at":"2026-08-15T20:30:58.027042Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.01343","last_updated":"2025-08-07T03:50:19Z","snapshot_observed_at":"2026-08-16T13:28:55.769138Z","submitted_at":"2024-08-02T15:41:16Z","title":"StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.01343","snapshot_observed_at":"2026-08-15T20:30:58.033544Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:58.033544Z"},"links":{"cited_paper":"/paper/2408.01343","citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:22504542e80bbb9672d4c95bab7d654cb4ca7cf15aa918907981392206c75789","observation_id":"42a7327a-44c0-494a-9e1b-8216dfa34e49","resolution":{"observed_at":"2026-08-15T20:30:58.033544Z","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":"2026-08-15T20:30:58.700055Z","title":"Zheng, Y","venue":null,"work_id":"553d5ebc-4c57-4441-a4c2-07ffe7597f47","year":2025},"citing_paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection","version":2},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-15T20:30:58.041553Z"},"links":{"citing_paper":"/paper/2505.12861"},"observation_digest":"sha256:6c198b236fd839617344c222c4b7ff30a6a6994b09c8dc2162b7e27f986761d4","observation_id":"5bf931ea-272c-4afc-b213-2315ca03d847","resolution":{"observed_at":"2026-08-15T20:30:58.707028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.12861","last_updated":"2025-08-18T04:29:49Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T18:24:20.571810Z","submitted_at":"2025-05-19T08:46:03Z","title":"RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection"},"reference_resolution":{"displayed":74,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":48,"verified_exact":2,"verified_fuzzy":24},"total_outbound_references":74},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 1 inbound Pith citation observation for arXiv:2505.12861."}