{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OMK4SD5XNSEJYF5LXWBXPRETM6","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":"e7e5141d3902b641b87e5424f9d5827a60b22d4d3cca17d07d29d0890a75f63e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-04T14:11:00Z","title_canon_sha256":"ac30ae6fb55a29d77775e2562ed9948c5a9a96ee75babba0bf8f7acc10917700"},"schema_version":"1.0","source":{"id":"2602.04584","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.04584","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"arxiv_version","alias_value":"2602.04584v2","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.04584","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"pith_short_12","alias_value":"OMK4SD5XNSEJ","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"pith_short_16","alias_value":"OMK4SD5XNSEJYF5L","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"pith_short_8","alias_value":"OMK4SD5X","created_at":"2026-07-14T02:21:28Z"}],"graph_snapshots":[{"event_id":"sha256:c1ee0a9f99ba2d1e1e643b8d63b4c8e7af1ebc5dfc10019ca01011f073204080","target":"graph","created_at":"2026-07-14T02:21:28Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2602.04584/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Saliency estimation has received growing attention in recent years due to its importance in a wide range of applications. In the context of 360-degree video, it has been particularly valuable for tasks such as viewport prediction and immersive content optimization. In this paper, we propose SalFormer360, a novel saliency estimation model for 360-degree videos built on a transformer-based architecture. Our approach is based on the combination of an existing encoder architecture, SegFormer, and a custom decoder. The SegFormer model was originally developed for 2D segmentation tasks, and it has b","authors_text":"Federica Battisti, Francesco Barbato, Mahmoud Z. A. Wahba, Sara Baldoni","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-04T14:11:00Z","title":"SalFormer360: a transformer-based saliency estimation model for 360-degree videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.04584","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:ea8c36d8d5498aa5bae75332b912a848c5a798c92d6233a0c7b01651ecf43e9a","target":"record","created_at":"2026-07-14T02:21:28Z","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":"e7e5141d3902b641b87e5424f9d5827a60b22d4d3cca17d07d29d0890a75f63e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-04T14:11:00Z","title_canon_sha256":"ac30ae6fb55a29d77775e2562ed9948c5a9a96ee75babba0bf8f7acc10917700"},"schema_version":"1.0","source":{"id":"2602.04584","kind":"arxiv","version":2}},"canonical_sha256":"7315c90fb76c889c17abbd8377c493678b4bc23d08614fe28681626c7d06b00b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7315c90fb76c889c17abbd8377c493678b4bc23d08614fe28681626c7d06b00b","first_computed_at":"2026-07-14T02:21:28.986550Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T02:21:28.986550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+yA8JAw+IP9a7x0R9+TaJbKcT5KDkC3WQcJupDixL5n1PC6ncLr9o14C6n3i6lpI4LcUya914TaFaiz1WLNSAA==","signature_status":"signed_v1","signed_at":"2026-07-14T02:21:28.987496Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.04584","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea8c36d8d5498aa5bae75332b912a848c5a798c92d6233a0c7b01651ecf43e9a","sha256:c1ee0a9f99ba2d1e1e643b8d63b4c8e7af1ebc5dfc10019ca01011f073204080"],"state_sha256":"19c543d9c1789ca2aa6f38ded7ecdcffe2351fda871e868c2cf67af37c0b3f6b"}