{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:6Z4TGEGUWJS3SPWBWY4BKR5SHR","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":"43b89d14be2ac1c5b106585980292e4f982e6384444418641589b277575592e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-26T05:03:34Z","title_canon_sha256":"68099972e28c1e0cb186ead219181ec42619cc429cd58c9b6bd9ae5231f0484e"},"schema_version":"1.0","source":{"id":"1810.11189","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.11189","created_at":"2026-05-18T00:02:14Z"},{"alias_kind":"arxiv_version","alias_value":"1810.11189v1","created_at":"2026-05-18T00:02:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.11189","created_at":"2026-05-18T00:02:14Z"},{"alias_kind":"pith_short_12","alias_value":"6Z4TGEGUWJS3","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"6Z4TGEGUWJS3SPWB","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"6Z4TGEGU","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:c46877ca3f5373550b0d65573147c0c6cd951537616d278c6ed0a04249ddb886","target":"graph","created_at":"2026-05-18T00:02:14Z","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":"For fine-grained categorization tasks, videos could serve as a better source than static images as videos have a higher chance of containing discriminative patterns. Nevertheless, a video sequence could also contain a lot of redundant and irrelevant frames. How to locate critical information of interest is a challenging task. In this paper, we propose a new network structure, known as Redundancy Reduction Attention (RRA), which learns to focus on multiple discriminative patterns by sup- pressing redundant feature channels. Specifically, it firstly summarizes the video by weight-summing all fea","authors_text":"Chen Zhu, Errui Ding, Feng Zhou, Kaiyu Yue, Xiao Liu, Xiao Tan, Yi Ma","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-26T05:03:34Z","title":"Fine-grained Video Categorization with Redundancy Reduction Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.11189","kind":"arxiv","version":1},"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":"sha256:2e044cfe7e767dc8e3cbeb82513086d68dd276e133462894f8c6f017ac9dc9b1","target":"record","created_at":"2026-05-18T00:02:14Z","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":"43b89d14be2ac1c5b106585980292e4f982e6384444418641589b277575592e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-26T05:03:34Z","title_canon_sha256":"68099972e28c1e0cb186ead219181ec42619cc429cd58c9b6bd9ae5231f0484e"},"schema_version":"1.0","source":{"id":"1810.11189","kind":"arxiv","version":1}},"canonical_sha256":"f6793310d4b265b93ec1b6381547b23c7d878056ee211d083b12e2e46151ce1e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f6793310d4b265b93ec1b6381547b23c7d878056ee211d083b12e2e46151ce1e","first_computed_at":"2026-05-18T00:02:14.885472Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:14.885472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C5PIj6L1+oyvY/yQZ0puZ3rBNpkeQCJUgZd2WuWrKfZITx8rC1Y8Ls/ALp3+B/jZIa+X/Khk54E4uk8/DSPQBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:14.886074Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.11189","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e044cfe7e767dc8e3cbeb82513086d68dd276e133462894f8c6f017ac9dc9b1","sha256:c46877ca3f5373550b0d65573147c0c6cd951537616d278c6ed0a04249ddb886"],"state_sha256":"135bb9fb29ab4ca5e43decd99646a6e4782869341769384a7891fec5d91e9252"}