{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:EGTG65QFT2J6ZM3WXL2O2AYFCR","short_pith_number":"pith:EGTG65QF","canonical_record":{"source":{"id":"2104.01633","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-04T15:47:14Z","cross_cats_sorted":[],"title_canon_sha256":"05ca6c728099ba3b111da77172ef3b1178ab26a5195e5307cb0b24830657cb04","abstract_canon_sha256":"daf0f2a9ebf4e5addfa7074b30f8d746eb557327236ba884d89e565acd7b5b3d"},"schema_version":"1.0"},"canonical_sha256":"21a66f76059e93ecb376baf4ed030514576186dcae6d61b3878a060833cf4eac","source":{"kind":"arxiv","id":"2104.01633","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.01633","created_at":"2026-07-05T02:29:02Z"},{"alias_kind":"arxiv_version","alias_value":"2104.01633v1","created_at":"2026-07-05T02:29:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.01633","created_at":"2026-07-05T02:29:02Z"},{"alias_kind":"pith_short_12","alias_value":"EGTG65QFT2J6","created_at":"2026-07-05T02:29:02Z"},{"alias_kind":"pith_short_16","alias_value":"EGTG65QFT2J6ZM3W","created_at":"2026-07-05T02:29:02Z"},{"alias_kind":"pith_short_8","alias_value":"EGTG65QF","created_at":"2026-07-05T02:29:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:EGTG65QFT2J6ZM3WXL2O2AYFCR","target":"record","payload":{"canonical_record":{"source":{"id":"2104.01633","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-04T15:47:14Z","cross_cats_sorted":[],"title_canon_sha256":"05ca6c728099ba3b111da77172ef3b1178ab26a5195e5307cb0b24830657cb04","abstract_canon_sha256":"daf0f2a9ebf4e5addfa7074b30f8d746eb557327236ba884d89e565acd7b5b3d"},"schema_version":"1.0"},"canonical_sha256":"21a66f76059e93ecb376baf4ed030514576186dcae6d61b3878a060833cf4eac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:29:02.093910Z","signature_b64":"5K+W4qmNOZRi9OWTvL4SEndqq3UPgVyV9ALQc4+VMNPpCwvkevbtSusfP3KfIjufChFu2VPd03rz4auvaNbFDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"21a66f76059e93ecb376baf4ed030514576186dcae6d61b3878a060833cf4eac","last_reissued_at":"2026-07-05T02:29:02.093524Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:29:02.093524Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2104.01633","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":"2026-07-05T02:29:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BKxlEdaDpJPvaI8U8vGnr1HNBkYzx6OczmTwRfGyw8D+SAYWBF6GjhIE5WLoUaf5EOWZJdjKcXGYEp4RFBYBBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T14:42:12.942556Z"},"content_sha256":"8ea3fbbdff564456913081ab4192d4d5acdd6ec3ad8ad9a22260d73d8122f2c1","schema_version":"1.0","event_id":"sha256:8ea3fbbdff564456913081ab4192d4d5acdd6ec3ad8ad9a22260d73d8122f2c1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:EGTG65QFT2J6ZM3WXL2O2AYFCR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fa-Ting Hong, Jia-Chang Feng, Wei-Shi Zheng","submitted_at":"2021-04-04T15:47:14Z","abstract_excerpt":"Weakly supervised video anomaly detection (WS-VAD) is to distinguish anomalies from normal events based on discriminative representations. Most existing works are limited in insufficient video representations. In this work, we develop a multiple instance self-training framework (MIST)to efficiently refine task-specific discriminative representations with only video-level annotations. In particular, MIST is composed of 1) a multiple instance pseudo label generator, which adapts a sparse continuous sampling strategy to produce more reliable clip-level pseudo labels, and 2) a self-guided attentio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.01633","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/2104.01633/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":"2026-07-05T02:29:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pd4C434niqckZxxp01utewAbloJkMBSzF2H1dCWlMeAznbZnMZmI6LpXB3jcAc6TXWZ/wAj57JGrQrlrkXYLDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T14:42:12.943093Z"},"content_sha256":"9397b55a8c5f9a0029eca279a6070f100e3a884f1825c71aefea56e11ccadd42","schema_version":"1.0","event_id":"sha256:9397b55a8c5f9a0029eca279a6070f100e3a884f1825c71aefea56e11ccadd42"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EGTG65QFT2J6ZM3WXL2O2AYFCR/bundle.json","state_url":"https://pith.science/pith/EGTG65QFT2J6ZM3WXL2O2AYFCR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EGTG65QFT2J6ZM3WXL2O2AYFCR/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":"2026-08-05T14:42:12Z","links":{"resolver":"https://pith.science/pith/EGTG65QFT2J6ZM3WXL2O2AYFCR","bundle":"https://pith.science/pith/EGTG65QFT2J6ZM3WXL2O2AYFCR/bundle.json","state":"https://pith.science/pith/EGTG65QFT2J6ZM3WXL2O2AYFCR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EGTG65QFT2J6ZM3WXL2O2AYFCR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:EGTG65QFT2J6ZM3WXL2O2AYFCR","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":"daf0f2a9ebf4e5addfa7074b30f8d746eb557327236ba884d89e565acd7b5b3d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-04T15:47:14Z","title_canon_sha256":"05ca6c728099ba3b111da77172ef3b1178ab26a5195e5307cb0b24830657cb04"},"schema_version":"1.0","source":{"id":"2104.01633","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.01633","created_at":"2026-07-05T02:29:02Z"},{"alias_kind":"arxiv_version","alias_value":"2104.01633v1","created_at":"2026-07-05T02:29:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.01633","created_at":"2026-07-05T02:29:02Z"},{"alias_kind":"pith_short_12","alias_value":"EGTG65QFT2J6","created_at":"2026-07-05T02:29:02Z"},{"alias_kind":"pith_short_16","alias_value":"EGTG65QFT2J6ZM3W","created_at":"2026-07-05T02:29:02Z"},{"alias_kind":"pith_short_8","alias_value":"EGTG65QF","created_at":"2026-07-05T02:29:02Z"}],"graph_snapshots":[{"event_id":"sha256:9397b55a8c5f9a0029eca279a6070f100e3a884f1825c71aefea56e11ccadd42","target":"graph","created_at":"2026-07-05T02:29:02Z","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/2104.01633/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Weakly supervised video anomaly detection (WS-VAD) is to distinguish anomalies from normal events based on discriminative representations. Most existing works are limited in insufficient video representations. In this work, we develop a multiple instance self-training framework (MIST)to efficiently refine task-specific discriminative representations with only video-level annotations. In particular, MIST is composed of 1) a multiple instance pseudo label generator, which adapts a sparse continuous sampling strategy to produce more reliable clip-level pseudo labels, and 2) a self-guided attentio","authors_text":"Fa-Ting Hong, Jia-Chang Feng, Wei-Shi Zheng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-04T15:47:14Z","title":"MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.01633","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":"sha256:8ea3fbbdff564456913081ab4192d4d5acdd6ec3ad8ad9a22260d73d8122f2c1","target":"record","created_at":"2026-07-05T02:29:02Z","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":"daf0f2a9ebf4e5addfa7074b30f8d746eb557327236ba884d89e565acd7b5b3d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-04T15:47:14Z","title_canon_sha256":"05ca6c728099ba3b111da77172ef3b1178ab26a5195e5307cb0b24830657cb04"},"schema_version":"1.0","source":{"id":"2104.01633","kind":"arxiv","version":1}},"canonical_sha256":"21a66f76059e93ecb376baf4ed030514576186dcae6d61b3878a060833cf4eac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21a66f76059e93ecb376baf4ed030514576186dcae6d61b3878a060833cf4eac","first_computed_at":"2026-07-05T02:29:02.093524Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:29:02.093524Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5K+W4qmNOZRi9OWTvL4SEndqq3UPgVyV9ALQc4+VMNPpCwvkevbtSusfP3KfIjufChFu2VPd03rz4auvaNbFDg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:29:02.093910Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.01633","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ea3fbbdff564456913081ab4192d4d5acdd6ec3ad8ad9a22260d73d8122f2c1","sha256:9397b55a8c5f9a0029eca279a6070f100e3a884f1825c71aefea56e11ccadd42"],"state_sha256":"1e1fcd13827a8107f95b2bf05b6c82b671737229051119d94333fa162288f6e0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g8yZBSuupyWy1AO8cMZI4dGAO20sbANgit6nPwLJY+F3PAjbk0gsbDYN587ehGnzlbhjjTKud/K0GjTz0ihDCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T14:42:12.948079Z","bundle_sha256":"8b6cd9e662b263eabe198ffd30fb89df902946d9673aa12e3aaa0cea6ee09e40"}}