{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:XT23D5MUD2TXXRN2GQAO6C6CGR","short_pith_number":"pith:XT23D5MU","canonical_record":{"source":{"id":"1706.09180","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-28T09:16:18Z","cross_cats_sorted":[],"title_canon_sha256":"92fff08a3a94ee102a8d9e4b7f9f5ed17c37ed663da84f1b76d2639f425d26d1","abstract_canon_sha256":"6ba7c08f2f930b23022732435dde395454179246211fa944478a6486bdf0543b"},"schema_version":"1.0"},"canonical_sha256":"bcf5b1f5941ea77bc5ba3400ef0bc23477867219a64c2893ae1a097ee4056b3d","source":{"kind":"arxiv","id":"1706.09180","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.09180","created_at":"2026-05-18T00:41:12Z"},{"alias_kind":"arxiv_version","alias_value":"1706.09180v2","created_at":"2026-05-18T00:41:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.09180","created_at":"2026-05-18T00:41:12Z"},{"alias_kind":"pith_short_12","alias_value":"XT23D5MUD2TX","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XT23D5MUD2TXXRN2","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XT23D5MU","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:XT23D5MUD2TXXRN2GQAO6C6CGR","target":"record","payload":{"canonical_record":{"source":{"id":"1706.09180","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-28T09:16:18Z","cross_cats_sorted":[],"title_canon_sha256":"92fff08a3a94ee102a8d9e4b7f9f5ed17c37ed663da84f1b76d2639f425d26d1","abstract_canon_sha256":"6ba7c08f2f930b23022732435dde395454179246211fa944478a6486bdf0543b"},"schema_version":"1.0"},"canonical_sha256":"bcf5b1f5941ea77bc5ba3400ef0bc23477867219a64c2893ae1a097ee4056b3d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:41:12.090624Z","signature_b64":"th0HXnqa4GE33PRYg9Hlr4+oUgEtJwhgMRpaIciz9/ol7C17sb/dK5NWCXdKWmuum7G70ri/gwaKp+QlFXkDBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bcf5b1f5941ea77bc5ba3400ef0bc23477867219a64c2893ae1a097ee4056b3d","last_reissued_at":"2026-05-18T00:41:12.090105Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:41:12.090105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.09180","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":"2026-05-18T00:41:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PhRktQDpXqS3/nuUOyVfxAWc57yIS4X3XaGSUUqXKgCz5GxDSitoDJu/HIqGMvgFhlIecXgfYWML9s94iD5dDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T00:12:58.921038Z"},"content_sha256":"37125d79360e1455ac8c25776be6266348b0bc42a18380aaa0fd916fc46b3f55","schema_version":"1.0","event_id":"sha256:37125d79360e1455ac8c25776be6266348b0bc42a18380aaa0fd916fc46b3f55"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:XT23D5MUD2TXXRN2GQAO6C6CGR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Yes-Net: An effective Detector Based on Global Information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Liangzhuang Ma, Peiqin Sun, Qianjiang Xiao, Wenlong Liu, Xin Kan","submitted_at":"2017-06-28T09:16:18Z","abstract_excerpt":"This paper introduces a new real-time object detection approach named Yes-Net. It realizes the prediction of bounding boxes and class via single neural network like YOLOv2 and SSD, but owns more efficient and outstanding features. It combines local information with global information by adding the RNN architecture as a packed unit in CNN model to form the basic feature extractor. Independent anchor boxes coming from full-dimension k-means is also applied in Yes-Net, it brings better average IOU than grid anchor box. In addition, instead of NMS, Yes-Net uses RNN as a filter to get the final box"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.09180","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":""},"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":"2026-05-18T00:41:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZoMpDIrn6DxrrTDq2CP5APH4SofIeMMM/aK7cNwO1g8goiOZ0L+9fNeRGN0MxCJQNbQr20OIi3posM7UVf6SAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T00:12:58.921486Z"},"content_sha256":"b3aff0bee5c9a407a18555aff1bea2bf9bb760bb4ff55feddc615de9a3e92726","schema_version":"1.0","event_id":"sha256:b3aff0bee5c9a407a18555aff1bea2bf9bb760bb4ff55feddc615de9a3e92726"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XT23D5MUD2TXXRN2GQAO6C6CGR/bundle.json","state_url":"https://pith.science/pith/XT23D5MUD2TXXRN2GQAO6C6CGR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XT23D5MUD2TXXRN2GQAO6C6CGR/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":"2026-05-30T00:12:58Z","links":{"resolver":"https://pith.science/pith/XT23D5MUD2TXXRN2GQAO6C6CGR","bundle":"https://pith.science/pith/XT23D5MUD2TXXRN2GQAO6C6CGR/bundle.json","state":"https://pith.science/pith/XT23D5MUD2TXXRN2GQAO6C6CGR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XT23D5MUD2TXXRN2GQAO6C6CGR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:XT23D5MUD2TXXRN2GQAO6C6CGR","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":"6ba7c08f2f930b23022732435dde395454179246211fa944478a6486bdf0543b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-28T09:16:18Z","title_canon_sha256":"92fff08a3a94ee102a8d9e4b7f9f5ed17c37ed663da84f1b76d2639f425d26d1"},"schema_version":"1.0","source":{"id":"1706.09180","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.09180","created_at":"2026-05-18T00:41:12Z"},{"alias_kind":"arxiv_version","alias_value":"1706.09180v2","created_at":"2026-05-18T00:41:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.09180","created_at":"2026-05-18T00:41:12Z"},{"alias_kind":"pith_short_12","alias_value":"XT23D5MUD2TX","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XT23D5MUD2TXXRN2","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XT23D5MU","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:b3aff0bee5c9a407a18555aff1bea2bf9bb760bb4ff55feddc615de9a3e92726","target":"graph","created_at":"2026-05-18T00:41:12Z","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":"This paper introduces a new real-time object detection approach named Yes-Net. It realizes the prediction of bounding boxes and class via single neural network like YOLOv2 and SSD, but owns more efficient and outstanding features. It combines local information with global information by adding the RNN architecture as a packed unit in CNN model to form the basic feature extractor. Independent anchor boxes coming from full-dimension k-means is also applied in Yes-Net, it brings better average IOU than grid anchor box. In addition, instead of NMS, Yes-Net uses RNN as a filter to get the final box","authors_text":"Liangzhuang Ma, Peiqin Sun, Qianjiang Xiao, Wenlong Liu, Xin Kan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-28T09:16:18Z","title":"Yes-Net: An effective Detector Based on Global Information"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.09180","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":"sha256:37125d79360e1455ac8c25776be6266348b0bc42a18380aaa0fd916fc46b3f55","target":"record","created_at":"2026-05-18T00:41:12Z","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":"6ba7c08f2f930b23022732435dde395454179246211fa944478a6486bdf0543b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-28T09:16:18Z","title_canon_sha256":"92fff08a3a94ee102a8d9e4b7f9f5ed17c37ed663da84f1b76d2639f425d26d1"},"schema_version":"1.0","source":{"id":"1706.09180","kind":"arxiv","version":2}},"canonical_sha256":"bcf5b1f5941ea77bc5ba3400ef0bc23477867219a64c2893ae1a097ee4056b3d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bcf5b1f5941ea77bc5ba3400ef0bc23477867219a64c2893ae1a097ee4056b3d","first_computed_at":"2026-05-18T00:41:12.090105Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:41:12.090105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"th0HXnqa4GE33PRYg9Hlr4+oUgEtJwhgMRpaIciz9/ol7C17sb/dK5NWCXdKWmuum7G70ri/gwaKp+QlFXkDBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:41:12.090624Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.09180","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:37125d79360e1455ac8c25776be6266348b0bc42a18380aaa0fd916fc46b3f55","sha256:b3aff0bee5c9a407a18555aff1bea2bf9bb760bb4ff55feddc615de9a3e92726"],"state_sha256":"fbe055fe6465a9e6142f5a43c450580fe7b7541b20b860f443935aa04273a267"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ahkxZy5CqZM2KJsBEJdFl7g3pkHIUyJoMkpZG51ar1kMNNmDD8HgxIvvwJsEefQg8v+hKyWmycknVN7Ifx12DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T00:12:58.924179Z","bundle_sha256":"c2983e0e9f65585192c3cb047ec541a7ee3eb9e81b5db33e2871da04a53de640"}}