{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:QNL7NRSBOI6QTU6BKRTIRWCBWA","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":"cf27c2f8ac89e20815b6d94f4b14d4e7f61082c73803667082f369d7ecc5bd4e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-22T18:00:13Z","title_canon_sha256":"b8e1ee73319ed979fd5d7d2f6423d6912d8fd89b0aac76267d6f59cd53cfc64e"},"schema_version":"1.0","source":{"id":"2103.12091","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.12091","created_at":"2026-07-05T03:03:27Z"},{"alias_kind":"arxiv_version","alias_value":"2103.12091v2","created_at":"2026-07-05T03:03:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.12091","created_at":"2026-07-05T03:03:27Z"},{"alias_kind":"pith_short_12","alias_value":"QNL7NRSBOI6Q","created_at":"2026-07-05T03:03:27Z"},{"alias_kind":"pith_short_16","alias_value":"QNL7NRSBOI6QTU6B","created_at":"2026-07-05T03:03:27Z"},{"alias_kind":"pith_short_8","alias_value":"QNL7NRSB","created_at":"2026-07-05T03:03:27Z"}],"graph_snapshots":[{"event_id":"sha256:5ac0020da94e85f108e13550df1769dfc36f763387729c98bdfa75405162e772","target":"graph","created_at":"2026-07-05T03:03:27Z","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/2103.12091/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While convolutional neural networks have shown a tremendous impact on various computer vision tasks, they generally demonstrate limitations in explicitly modeling long-range dependencies due to the intrinsic locality of the convolution operation. Initially designed for natural language processing tasks, Transformers have emerged as alternative architectures with innate global self-attention mechanisms to capture long-range dependencies. In this paper, we propose TransDepth, an architecture that benefits from both convolutional neural networks and transformers. To avoid the network losing its a","authors_text":"Elisa Ricci, Guanglei Yang, Hao Tang, Mingli Ding, Nicu Sebe","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-22T18:00:13Z","title":"Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.12091","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":"sha256:304a2765ea69e99f4674d0fd723f294d875e9b7e28c83d699bc8f2fcf6d021fd","target":"record","created_at":"2026-07-05T03:03:27Z","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":"cf27c2f8ac89e20815b6d94f4b14d4e7f61082c73803667082f369d7ecc5bd4e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-22T18:00:13Z","title_canon_sha256":"b8e1ee73319ed979fd5d7d2f6423d6912d8fd89b0aac76267d6f59cd53cfc64e"},"schema_version":"1.0","source":{"id":"2103.12091","kind":"arxiv","version":2}},"canonical_sha256":"8357f6c641723d09d3c1546688d841b0323bb94b308912f664780e9758e88170","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8357f6c641723d09d3c1546688d841b0323bb94b308912f664780e9758e88170","first_computed_at":"2026-07-05T03:03:27.749514Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:03:27.749514Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2XhAdVI7IuVpoPJrTtKqpHbPNIEof7IX5yf2RgaSSySJSLw2qaS7mDepZvxQBxjEQkai+ebomgy5KHEppKQaCA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:03:27.749990Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.12091","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:304a2765ea69e99f4674d0fd723f294d875e9b7e28c83d699bc8f2fcf6d021fd","sha256:5ac0020da94e85f108e13550df1769dfc36f763387729c98bdfa75405162e772"],"state_sha256":"0e685bfc8c2eace64fe1a8e36175b8eae8468b5c6544fedb8d16df87ab6544cf"}