{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:D54MFNAFE6S3QHGPLWBZSETB7P","short_pith_number":"pith:D54MFNAF","canonical_record":{"source":{"id":"1903.05612","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-13T17:26:15Z","cross_cats_sorted":[],"title_canon_sha256":"bb03005cf37b2b4377c2c0794c7b8bbb3ccffb6fc1116eda553e363605b2d1ff","abstract_canon_sha256":"1e6c9ab3d5e5cd70a836e9caed3fc8f44175103e4e54fdacf3f29f169dfa1a5c"},"schema_version":"1.0"},"canonical_sha256":"1f78c2b40527a5b81ccf5d83991261fbe97aa3609e71ca8845251a7b323d2756","source":{"kind":"arxiv","id":"1903.05612","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.05612","created_at":"2026-05-17T23:45:44Z"},{"alias_kind":"arxiv_version","alias_value":"1903.05612v2","created_at":"2026-05-17T23:45:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.05612","created_at":"2026-05-17T23:45:44Z"},{"alias_kind":"pith_short_12","alias_value":"D54MFNAFE6S3","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"D54MFNAFE6S3QHGP","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"D54MFNAF","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:D54MFNAFE6S3QHGPLWBZSETB7P","target":"record","payload":{"canonical_record":{"source":{"id":"1903.05612","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-13T17:26:15Z","cross_cats_sorted":[],"title_canon_sha256":"bb03005cf37b2b4377c2c0794c7b8bbb3ccffb6fc1116eda553e363605b2d1ff","abstract_canon_sha256":"1e6c9ab3d5e5cd70a836e9caed3fc8f44175103e4e54fdacf3f29f169dfa1a5c"},"schema_version":"1.0"},"canonical_sha256":"1f78c2b40527a5b81ccf5d83991261fbe97aa3609e71ca8845251a7b323d2756","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:45:44.274573Z","signature_b64":"Xw6amlpJZgCqopjShdy/kyfmdcWdgyv+aDbhUAqNf/j+oLfI+egh3x/Gp9kDPaD5tvkSTsyvpD+a5plGIEo4BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f78c2b40527a5b81ccf5d83991261fbe97aa3609e71ca8845251a7b323d2756","last_reissued_at":"2026-05-17T23:45:44.273836Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:45:44.273836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.05612","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:45:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"imLuxp8b1kKi6rQB1qyWQE7Q3YCA2+LhnrqQD3PvV8MxT6+07pptX6tYut2C1oPQoA6J2vz1POLZqVjKXFbXBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T07:04:56.969071Z"},"content_sha256":"e37bd3f935deb64259697d8707726a78f02321685ea466d8660063c5d581afdb","schema_version":"1.0","event_id":"sha256:e37bd3f935deb64259697d8707726a78f02321685ea466d8660063c5d581afdb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:D54MFNAFE6S3QHGPLWBZSETB7P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RVOS: End-to-End Recurrent Network for Video Object Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amaia Salvador, Andreu Girbau, Carles Ventura, Ferran Marques, Miriam Bellver, Xavier Giro-i-Nieto","submitted_at":"2019-03-13T17:26:15Z","abstract_excerpt":"Multiple object video object segmentation is a challenging task, specially for the zero-shot case, when no object mask is given at the initial frame and the model has to find the objects to be segmented along the sequence. In our work, we propose a Recurrent network for multiple object Video Object Segmentation (RVOS) that is fully end-to-end trainable. Our model incorporates recurrence on two different domains: (i) the spatial, which allows to discover the different object instances within a frame, and (ii) the temporal, which allows to keep the coherence of the segmented objects along time. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.05612","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:45:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XL/cx/6urfNd63fAX6Glzlgy6rZsmouICiLWEXq/cySFCQhEBoBWp+beyCKwbeqV9VupQREN4SV6oXbbR9dCBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T07:04:56.969700Z"},"content_sha256":"8a8922b493ea60fcb890f87fcd1b6593b30ff67ca7881144b540783780f1d0bf","schema_version":"1.0","event_id":"sha256:8a8922b493ea60fcb890f87fcd1b6593b30ff67ca7881144b540783780f1d0bf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D54MFNAFE6S3QHGPLWBZSETB7P/bundle.json","state_url":"https://pith.science/pith/D54MFNAFE6S3QHGPLWBZSETB7P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D54MFNAFE6S3QHGPLWBZSETB7P/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-25T07:04:56Z","links":{"resolver":"https://pith.science/pith/D54MFNAFE6S3QHGPLWBZSETB7P","bundle":"https://pith.science/pith/D54MFNAFE6S3QHGPLWBZSETB7P/bundle.json","state":"https://pith.science/pith/D54MFNAFE6S3QHGPLWBZSETB7P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D54MFNAFE6S3QHGPLWBZSETB7P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:D54MFNAFE6S3QHGPLWBZSETB7P","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1e6c9ab3d5e5cd70a836e9caed3fc8f44175103e4e54fdacf3f29f169dfa1a5c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-13T17:26:15Z","title_canon_sha256":"bb03005cf37b2b4377c2c0794c7b8bbb3ccffb6fc1116eda553e363605b2d1ff"},"schema_version":"1.0","source":{"id":"1903.05612","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.05612","created_at":"2026-05-17T23:45:44Z"},{"alias_kind":"arxiv_version","alias_value":"1903.05612v2","created_at":"2026-05-17T23:45:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.05612","created_at":"2026-05-17T23:45:44Z"},{"alias_kind":"pith_short_12","alias_value":"D54MFNAFE6S3","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"D54MFNAFE6S3QHGP","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"D54MFNAF","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:8a8922b493ea60fcb890f87fcd1b6593b30ff67ca7881144b540783780f1d0bf","target":"graph","created_at":"2026-05-17T23:45:44Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Multiple object video object segmentation is a challenging task, specially for the zero-shot case, when no object mask is given at the initial frame and the model has to find the objects to be segmented along the sequence. In our work, we propose a Recurrent network for multiple object Video Object Segmentation (RVOS) that is fully end-to-end trainable. Our model incorporates recurrence on two different domains: (i) the spatial, which allows to discover the different object instances within a frame, and (ii) the temporal, which allows to keep the coherence of the segmented objects along time. ","authors_text":"Amaia Salvador, Andreu Girbau, Carles Ventura, Ferran Marques, Miriam Bellver, Xavier Giro-i-Nieto","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-13T17:26:15Z","title":"RVOS: End-to-End Recurrent Network for Video Object Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.05612","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:e37bd3f935deb64259697d8707726a78f02321685ea466d8660063c5d581afdb","target":"record","created_at":"2026-05-17T23:45:44Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1e6c9ab3d5e5cd70a836e9caed3fc8f44175103e4e54fdacf3f29f169dfa1a5c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-13T17:26:15Z","title_canon_sha256":"bb03005cf37b2b4377c2c0794c7b8bbb3ccffb6fc1116eda553e363605b2d1ff"},"schema_version":"1.0","source":{"id":"1903.05612","kind":"arxiv","version":2}},"canonical_sha256":"1f78c2b40527a5b81ccf5d83991261fbe97aa3609e71ca8845251a7b323d2756","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f78c2b40527a5b81ccf5d83991261fbe97aa3609e71ca8845251a7b323d2756","first_computed_at":"2026-05-17T23:45:44.273836Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:45:44.273836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Xw6amlpJZgCqopjShdy/kyfmdcWdgyv+aDbhUAqNf/j+oLfI+egh3x/Gp9kDPaD5tvkSTsyvpD+a5plGIEo4BA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:45:44.274573Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.05612","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e37bd3f935deb64259697d8707726a78f02321685ea466d8660063c5d581afdb","sha256:8a8922b493ea60fcb890f87fcd1b6593b30ff67ca7881144b540783780f1d0bf"],"state_sha256":"e5f97c59479789034b253398b60b450e613ff83f7676c8942a178e65514bfccf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zBlMMDmGsNBE5rxS9OPDpmen86YoQdLXrRZMDS/oIsp7MzK5/5agfUk/OUenmEPxQi93YWNZy53MM170NNExDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T07:04:56.973404Z","bundle_sha256":"2963f951d3d2aeb393ed2b6b852cb8ff7054cef1cf6814ad296d61944850643e"}}