{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:U5MYUHK3CDHUUUOPNB4EZ2DKY4","short_pith_number":"pith:U5MYUHK3","schema_version":"1.0","canonical_sha256":"a7598a1d5b10cf4a51cf68784ce86ac7297023918c03e20356cfca5e91d2a918","source":{"kind":"arxiv","id":"2008.08072","version":1},"attestation_state":"computed","paper":{"title":"AssembleNet++: Assembling Modality Representations via Attention Connections","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.CV","authors_text":"AJ Piergiovanni, Anelia Angelova, Juhana Kangaspunta, Michael S. Ryoo","submitted_at":"2020-08-18T17:54:08Z","abstract_excerpt":"We create a family of powerful video models which are able to: (i) learn interactions between semantic object information and raw appearance and motion features, and (ii) deploy attention in order to better learn the importance of features at each convolutional block of the network. A new network component named peer-attention is introduced, which dynamically learns the attention weights using another block or input modality. Even without pre-training, our models outperform the previous work on standard public activity recognition datasets with continuous videos, establishing new state-of-the-"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2008.08072","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-18T17:54:08Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"e9ffe40d7e35316e48f8719068d64791389dbfb86c9c70cade8e0f46d2419b65","abstract_canon_sha256":"1c3aaf94e814edb51a06d95cb07e148f562614eba0f63c8422df4c4508c0e61e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:27:58.622501Z","signature_b64":"pRa0J0/PZgHDH5W2D20TrrRjoz1gIp/70XJDZ/KZqrd6LaKmp01H2mAvNoLiiBeYpefJxEsTnHFsSRRTLjC0Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7598a1d5b10cf4a51cf68784ce86ac7297023918c03e20356cfca5e91d2a918","last_reissued_at":"2026-07-05T01:27:58.622065Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:27:58.622065Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AssembleNet++: Assembling Modality Representations via Attention Connections","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.CV","authors_text":"AJ Piergiovanni, Anelia Angelova, Juhana Kangaspunta, Michael S. Ryoo","submitted_at":"2020-08-18T17:54:08Z","abstract_excerpt":"We create a family of powerful video models which are able to: (i) learn interactions between semantic object information and raw appearance and motion features, and (ii) deploy attention in order to better learn the importance of features at each convolutional block of the network. A new network component named peer-attention is introduced, which dynamically learns the attention weights using another block or input modality. Even without pre-training, our models outperform the previous work on standard public activity recognition datasets with continuous videos, establishing new state-of-the-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.08072","kind":"arxiv","version":1},"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/2008.08072/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2008.08072","created_at":"2026-07-05T01:27:58.622122+00:00"},{"alias_kind":"arxiv_version","alias_value":"2008.08072v1","created_at":"2026-07-05T01:27:58.622122+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.08072","created_at":"2026-07-05T01:27:58.622122+00:00"},{"alias_kind":"pith_short_12","alias_value":"U5MYUHK3CDHU","created_at":"2026-07-05T01:27:58.622122+00:00"},{"alias_kind":"pith_short_16","alias_value":"U5MYUHK3CDHUUUOP","created_at":"2026-07-05T01:27:58.622122+00:00"},{"alias_kind":"pith_short_8","alias_value":"U5MYUHK3","created_at":"2026-07-05T01:27:58.622122+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/U5MYUHK3CDHUUUOPNB4EZ2DKY4","json":"https://pith.science/pith/U5MYUHK3CDHUUUOPNB4EZ2DKY4.json","graph_json":"https://pith.science/api/pith-number/U5MYUHK3CDHUUUOPNB4EZ2DKY4/graph.json","events_json":"https://pith.science/api/pith-number/U5MYUHK3CDHUUUOPNB4EZ2DKY4/events.json","paper":"https://pith.science/paper/U5MYUHK3"},"agent_actions":{"view_html":"https://pith.science/pith/U5MYUHK3CDHUUUOPNB4EZ2DKY4","download_json":"https://pith.science/pith/U5MYUHK3CDHUUUOPNB4EZ2DKY4.json","view_paper":"https://pith.science/paper/U5MYUHK3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2008.08072&json=true","fetch_graph":"https://pith.science/api/pith-number/U5MYUHK3CDHUUUOPNB4EZ2DKY4/graph.json","fetch_events":"https://pith.science/api/pith-number/U5MYUHK3CDHUUUOPNB4EZ2DKY4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/U5MYUHK3CDHUUUOPNB4EZ2DKY4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/U5MYUHK3CDHUUUOPNB4EZ2DKY4/action/storage_attestation","attest_author":"https://pith.science/pith/U5MYUHK3CDHUUUOPNB4EZ2DKY4/action/author_attestation","sign_citation":"https://pith.science/pith/U5MYUHK3CDHUUUOPNB4EZ2DKY4/action/citation_signature","submit_replication":"https://pith.science/pith/U5MYUHK3CDHUUUOPNB4EZ2DKY4/action/replication_record"}},"created_at":"2026-07-05T01:27:58.622122+00:00","updated_at":"2026-07-05T01:27:58.622122+00:00"}