{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:P7VWSKSKSZWTFZSJMXLGRV4AVK","short_pith_number":"pith:P7VWSKSK","canonical_record":{"source":{"id":"1810.11794","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-28T11:10:33Z","cross_cats_sorted":[],"title_canon_sha256":"4f307d51c944aeed380bc05cb8ee50e697202feddb47fa954c86e8c4b1e75078","abstract_canon_sha256":"98099886072cb394f906737b7b80a2448883ffeae744243e8c3b6963429fcd5f"},"schema_version":"1.0"},"canonical_sha256":"7feb692a4a966d32e64965d668d780aa874b0933e8747c51493b3176921c3a20","source":{"kind":"arxiv","id":"1810.11794","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.11794","created_at":"2026-05-18T00:02:07Z"},{"alias_kind":"arxiv_version","alias_value":"1810.11794v1","created_at":"2026-05-18T00:02:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.11794","created_at":"2026-05-18T00:02:07Z"},{"alias_kind":"pith_short_12","alias_value":"P7VWSKSKSZWT","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"P7VWSKSKSZWTFZSJ","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"P7VWSKSK","created_at":"2026-05-18T12:32:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:P7VWSKSKSZWTFZSJMXLGRV4AVK","target":"record","payload":{"canonical_record":{"source":{"id":"1810.11794","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-28T11:10:33Z","cross_cats_sorted":[],"title_canon_sha256":"4f307d51c944aeed380bc05cb8ee50e697202feddb47fa954c86e8c4b1e75078","abstract_canon_sha256":"98099886072cb394f906737b7b80a2448883ffeae744243e8c3b6963429fcd5f"},"schema_version":"1.0"},"canonical_sha256":"7feb692a4a966d32e64965d668d780aa874b0933e8747c51493b3176921c3a20","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:02:07.372791Z","signature_b64":"ivvrgh1FPCML+0ZmgfQdf1fsbcnITwuvHlbIFMKcpZy6fmmKBLkbpwh0C8htvvED3gmZYMmG7Ru51Qmgrj75CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7feb692a4a966d32e64965d668d780aa874b0933e8747c51493b3176921c3a20","last_reissued_at":"2026-05-18T00:02:07.372304Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:02:07.372304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.11794","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:02:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s68kX5FywS/8gFN/xnVYLFrZq/ePqfsQsPC/j0KO9idk4icKnh+ThGTgIB2s9sLAe0+OwdwiGpwEx1dVRhfCBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T03:39:59.317932Z"},"content_sha256":"fabf0462130ae021dbc887b756fc217c1c62224bcf193e7b3cfbd79fe5e5a3f7","schema_version":"1.0","event_id":"sha256:fabf0462130ae021dbc887b756fc217c1c62224bcf193e7b3cfbd79fe5e5a3f7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:P7VWSKSKSZWTFZSJMXLGRV4AVK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haisheng Su, Tianwei Lin, Xu Zhao","submitted_at":"2018-10-28T11:10:33Z","abstract_excerpt":"Weakly supervised temporal action localization, which aims at temporally locating action instances in untrimmed videos using only video-level class labels during training, is an important yet challenging problem in video analysis. Many current methods adopt the \"localization by classification\" framework: first do video classification, then locate temporal area contributing to the results most. However, this framework fails to locate the entire action instances and gives little consideration to the local context. In this paper, we present a novel architecture called Cascaded Pyramid Mining Netw"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.11794","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":""},"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":"2026-05-18T00:02:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3kTgmiRF5LgDSAZiZog1GMfVYkr5KtvBazkNCvuW1oIWH8UpsE9gQ6J1mKCVsFJU0iEySPvaOehVOrDxSnaGCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T03:39:59.318277Z"},"content_sha256":"f22c1f20f616d6e0b6cd5170d31d8ec3019f6f13a2d21c6ad689a52ae2784788","schema_version":"1.0","event_id":"sha256:f22c1f20f616d6e0b6cd5170d31d8ec3019f6f13a2d21c6ad689a52ae2784788"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P7VWSKSKSZWTFZSJMXLGRV4AVK/bundle.json","state_url":"https://pith.science/pith/P7VWSKSKSZWTFZSJMXLGRV4AVK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P7VWSKSKSZWTFZSJMXLGRV4AVK/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":"2026-06-02T03:39:59Z","links":{"resolver":"https://pith.science/pith/P7VWSKSKSZWTFZSJMXLGRV4AVK","bundle":"https://pith.science/pith/P7VWSKSKSZWTFZSJMXLGRV4AVK/bundle.json","state":"https://pith.science/pith/P7VWSKSKSZWTFZSJMXLGRV4AVK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P7VWSKSKSZWTFZSJMXLGRV4AVK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:P7VWSKSKSZWTFZSJMXLGRV4AVK","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":"98099886072cb394f906737b7b80a2448883ffeae744243e8c3b6963429fcd5f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-28T11:10:33Z","title_canon_sha256":"4f307d51c944aeed380bc05cb8ee50e697202feddb47fa954c86e8c4b1e75078"},"schema_version":"1.0","source":{"id":"1810.11794","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.11794","created_at":"2026-05-18T00:02:07Z"},{"alias_kind":"arxiv_version","alias_value":"1810.11794v1","created_at":"2026-05-18T00:02:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.11794","created_at":"2026-05-18T00:02:07Z"},{"alias_kind":"pith_short_12","alias_value":"P7VWSKSKSZWT","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"P7VWSKSKSZWTFZSJ","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"P7VWSKSK","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:f22c1f20f616d6e0b6cd5170d31d8ec3019f6f13a2d21c6ad689a52ae2784788","target":"graph","created_at":"2026-05-18T00:02:07Z","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":"Weakly supervised temporal action localization, which aims at temporally locating action instances in untrimmed videos using only video-level class labels during training, is an important yet challenging problem in video analysis. Many current methods adopt the \"localization by classification\" framework: first do video classification, then locate temporal area contributing to the results most. However, this framework fails to locate the entire action instances and gives little consideration to the local context. In this paper, we present a novel architecture called Cascaded Pyramid Mining Netw","authors_text":"Haisheng Su, Tianwei Lin, Xu Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-28T11:10:33Z","title":"Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.11794","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:fabf0462130ae021dbc887b756fc217c1c62224bcf193e7b3cfbd79fe5e5a3f7","target":"record","created_at":"2026-05-18T00:02:07Z","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":"98099886072cb394f906737b7b80a2448883ffeae744243e8c3b6963429fcd5f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-28T11:10:33Z","title_canon_sha256":"4f307d51c944aeed380bc05cb8ee50e697202feddb47fa954c86e8c4b1e75078"},"schema_version":"1.0","source":{"id":"1810.11794","kind":"arxiv","version":1}},"canonical_sha256":"7feb692a4a966d32e64965d668d780aa874b0933e8747c51493b3176921c3a20","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7feb692a4a966d32e64965d668d780aa874b0933e8747c51493b3176921c3a20","first_computed_at":"2026-05-18T00:02:07.372304Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:07.372304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ivvrgh1FPCML+0ZmgfQdf1fsbcnITwuvHlbIFMKcpZy6fmmKBLkbpwh0C8htvvED3gmZYMmG7Ru51Qmgrj75CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:07.372791Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.11794","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fabf0462130ae021dbc887b756fc217c1c62224bcf193e7b3cfbd79fe5e5a3f7","sha256:f22c1f20f616d6e0b6cd5170d31d8ec3019f6f13a2d21c6ad689a52ae2784788"],"state_sha256":"9b994f95b6afc5496d3d3ea9d2ef23a1816d95d43c7a203027371e7be6f37bf1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ekfanOLOlN1KmDQ3Dk2VdCWrTEBQGJOG3m2bgH6QBDRzhNztoLz9HetcV02Oa/QRv2iFIz6SaCpODarC8b3HBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T03:39:59.320229Z","bundle_sha256":"2165c4feba103c6016b6725dc0647891e26c95352a0c6ff184c51c3df8f85420"}}