{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3ATG4ETP3I3FYSTX2BX5IMAPEJ","short_pith_number":"pith:3ATG4ETP","canonical_record":{"source":{"id":"2407.01375","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T15:29:27Z","cross_cats_sorted":[],"title_canon_sha256":"8618c8582d4bf8d4a7219003e30c4f952813b94f6a3320d7451ad0c1285b41a3","abstract_canon_sha256":"4744c33c6ecfc41dccdb0a4860eb49f31f281093570a148eff8ec7d9a6ea7538"},"schema_version":"1.0"},"canonical_sha256":"d8266e126fda365c4a77d06fd4300f226ec19044fc8f97309b04b4a980df4e78","source":{"kind":"arxiv","id":"2407.01375","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.01375","created_at":"2026-07-05T09:07:49Z"},{"alias_kind":"arxiv_version","alias_value":"2407.01375v2","created_at":"2026-07-05T09:07:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.01375","created_at":"2026-07-05T09:07:49Z"},{"alias_kind":"pith_short_12","alias_value":"3ATG4ETP3I3F","created_at":"2026-07-05T09:07:49Z"},{"alias_kind":"pith_short_16","alias_value":"3ATG4ETP3I3FYSTX","created_at":"2026-07-05T09:07:49Z"},{"alias_kind":"pith_short_8","alias_value":"3ATG4ETP","created_at":"2026-07-05T09:07:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3ATG4ETP3I3FYSTX2BX5IMAPEJ","target":"record","payload":{"canonical_record":{"source":{"id":"2407.01375","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T15:29:27Z","cross_cats_sorted":[],"title_canon_sha256":"8618c8582d4bf8d4a7219003e30c4f952813b94f6a3320d7451ad0c1285b41a3","abstract_canon_sha256":"4744c33c6ecfc41dccdb0a4860eb49f31f281093570a148eff8ec7d9a6ea7538"},"schema_version":"1.0"},"canonical_sha256":"d8266e126fda365c4a77d06fd4300f226ec19044fc8f97309b04b4a980df4e78","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:07:49.513251Z","signature_b64":"8VlurMFN/e9VoHu51KXDqguhiSxnlc1i5Sl6ZI6BgNxuI6hIUaCi0gf5chgS4U2Kt+LtfcUd7HP6Z55/LNrkAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d8266e126fda365c4a77d06fd4300f226ec19044fc8f97309b04b4a980df4e78","last_reissued_at":"2026-07-05T09:07:49.512743Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:07:49.512743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.01375","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":"2026-07-05T09:07:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gyKJqSDETMhTrkok1XYGrX2UncNJM8mcRR/yBLCDE+vAyVG5NC6vFkmlKDzr1EUA5mxnlMD8heitD4FVOBU8DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:18:04.214808Z"},"content_sha256":"2a811d4bc284b5b6fb4cc5437780f6da13adfa493d32beb9252057adfcd8e543","schema_version":"1.0","event_id":"sha256:2a811d4bc284b5b6fb4cc5437780f6da13adfa493d32beb9252057adfcd8e543"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3ATG4ETP3I3FYSTX2BX5IMAPEJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transferable-guided Attention Is All You Need for Video Domain Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andr\\'e Sacilotti, Jurandy Almeida, Nicu Sebe, Samuel Felipe dos Santos","submitted_at":"2024-07-01T15:29:27Z","abstract_excerpt":"Unsupervised domain adaptation (UDA) in videos is a challenging task that remains not well explored compared to image-based UDA techniques. Although vision transformers (ViT) achieve state-of-the-art performance in many computer vision tasks, their use in video UDA has been little explored. Our key idea is to use transformer layers as a feature encoder and incorporate spatial and temporal transferability relationships into the attention mechanism. A Transferable-guided Attention (TransferAttn) framework is then developed to exploit the capacity of the transformer to adapt cross-domain knowledg"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.01375","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2407.01375/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T09:07:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IFMre1qeU7+1Ag7eQaXwp9HUeWEd8AaqGHzZli2SNXe0+9FdyV0HFtIJfDJ+fjYKgZCFu0eHrlHGZqWBxna9BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:18:04.215340Z"},"content_sha256":"5ceff952658f2157d773a7233ba56dae7ac5e2aed1173984f49f8ea060eff4d8","schema_version":"1.0","event_id":"sha256:5ceff952658f2157d773a7233ba56dae7ac5e2aed1173984f49f8ea060eff4d8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3ATG4ETP3I3FYSTX2BX5IMAPEJ/bundle.json","state_url":"https://pith.science/pith/3ATG4ETP3I3FYSTX2BX5IMAPEJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3ATG4ETP3I3FYSTX2BX5IMAPEJ/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":"2026-08-07T09:18:04Z","links":{"resolver":"https://pith.science/pith/3ATG4ETP3I3FYSTX2BX5IMAPEJ","bundle":"https://pith.science/pith/3ATG4ETP3I3FYSTX2BX5IMAPEJ/bundle.json","state":"https://pith.science/pith/3ATG4ETP3I3FYSTX2BX5IMAPEJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3ATG4ETP3I3FYSTX2BX5IMAPEJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3ATG4ETP3I3FYSTX2BX5IMAPEJ","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":"4744c33c6ecfc41dccdb0a4860eb49f31f281093570a148eff8ec7d9a6ea7538","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T15:29:27Z","title_canon_sha256":"8618c8582d4bf8d4a7219003e30c4f952813b94f6a3320d7451ad0c1285b41a3"},"schema_version":"1.0","source":{"id":"2407.01375","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.01375","created_at":"2026-07-05T09:07:49Z"},{"alias_kind":"arxiv_version","alias_value":"2407.01375v2","created_at":"2026-07-05T09:07:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.01375","created_at":"2026-07-05T09:07:49Z"},{"alias_kind":"pith_short_12","alias_value":"3ATG4ETP3I3F","created_at":"2026-07-05T09:07:49Z"},{"alias_kind":"pith_short_16","alias_value":"3ATG4ETP3I3FYSTX","created_at":"2026-07-05T09:07:49Z"},{"alias_kind":"pith_short_8","alias_value":"3ATG4ETP","created_at":"2026-07-05T09:07:49Z"}],"graph_snapshots":[{"event_id":"sha256:5ceff952658f2157d773a7233ba56dae7ac5e2aed1173984f49f8ea060eff4d8","target":"graph","created_at":"2026-07-05T09:07:49Z","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/2407.01375/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unsupervised domain adaptation (UDA) in videos is a challenging task that remains not well explored compared to image-based UDA techniques. Although vision transformers (ViT) achieve state-of-the-art performance in many computer vision tasks, their use in video UDA has been little explored. Our key idea is to use transformer layers as a feature encoder and incorporate spatial and temporal transferability relationships into the attention mechanism. A Transferable-guided Attention (TransferAttn) framework is then developed to exploit the capacity of the transformer to adapt cross-domain knowledg","authors_text":"Andr\\'e Sacilotti, Jurandy Almeida, Nicu Sebe, Samuel Felipe dos Santos","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T15:29:27Z","title":"Transferable-guided Attention Is All You Need for Video Domain Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.01375","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":"sha256:2a811d4bc284b5b6fb4cc5437780f6da13adfa493d32beb9252057adfcd8e543","target":"record","created_at":"2026-07-05T09:07:49Z","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":"4744c33c6ecfc41dccdb0a4860eb49f31f281093570a148eff8ec7d9a6ea7538","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T15:29:27Z","title_canon_sha256":"8618c8582d4bf8d4a7219003e30c4f952813b94f6a3320d7451ad0c1285b41a3"},"schema_version":"1.0","source":{"id":"2407.01375","kind":"arxiv","version":2}},"canonical_sha256":"d8266e126fda365c4a77d06fd4300f226ec19044fc8f97309b04b4a980df4e78","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d8266e126fda365c4a77d06fd4300f226ec19044fc8f97309b04b4a980df4e78","first_computed_at":"2026-07-05T09:07:49.512743Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:07:49.512743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8VlurMFN/e9VoHu51KXDqguhiSxnlc1i5Sl6ZI6BgNxuI6hIUaCi0gf5chgS4U2Kt+LtfcUd7HP6Z55/LNrkAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:07:49.513251Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.01375","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a811d4bc284b5b6fb4cc5437780f6da13adfa493d32beb9252057adfcd8e543","sha256:5ceff952658f2157d773a7233ba56dae7ac5e2aed1173984f49f8ea060eff4d8"],"state_sha256":"ee229da175e2a1de7d1cfcf5d1d45dbd9c2389100249e9013d2d7575fd2354d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aUqUnGnz8Oeodr6GsvkNrHxWx5cM++J3s76CcUiuVOfLd4Bdn9dBFc3TiQDSVtl7EwSDXts6mpJWChdfMD8bBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T09:18:04.218959Z","bundle_sha256":"22b95c801009698dd133a9cc8137abb1e65d24806c51b12e3af2d6805ba3e17a"}}