{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:VGOTDKSLNCQP3KWFYIXJMKSPWB","short_pith_number":"pith:VGOTDKSL","canonical_record":{"source":{"id":"2209.05166","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-12T11:51:08Z","cross_cats_sorted":[],"title_canon_sha256":"18302a63ba20a1aba9c479afcc209210131fca42f201e4e30e3742c768df6262","abstract_canon_sha256":"e06756682ccb43361c0d11980b21ae987150cb816f55c5fa283753d9aa2bd17a"},"schema_version":"1.0"},"canonical_sha256":"a99d31aa4b68a0fdaac5c22e962a4fb07eb5d846bc112a2da0b45c6e29acbf35","source":{"kind":"arxiv","id":"2209.05166","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.05166","created_at":"2026-07-05T07:23:00Z"},{"alias_kind":"arxiv_version","alias_value":"2209.05166v4","created_at":"2026-07-05T07:23:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.05166","created_at":"2026-07-05T07:23:00Z"},{"alias_kind":"pith_short_12","alias_value":"VGOTDKSLNCQP","created_at":"2026-07-05T07:23:00Z"},{"alias_kind":"pith_short_16","alias_value":"VGOTDKSLNCQP3KWF","created_at":"2026-07-05T07:23:00Z"},{"alias_kind":"pith_short_8","alias_value":"VGOTDKSL","created_at":"2026-07-05T07:23:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:VGOTDKSLNCQP3KWFYIXJMKSPWB","target":"record","payload":{"canonical_record":{"source":{"id":"2209.05166","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-12T11:51:08Z","cross_cats_sorted":[],"title_canon_sha256":"18302a63ba20a1aba9c479afcc209210131fca42f201e4e30e3742c768df6262","abstract_canon_sha256":"e06756682ccb43361c0d11980b21ae987150cb816f55c5fa283753d9aa2bd17a"},"schema_version":"1.0"},"canonical_sha256":"a99d31aa4b68a0fdaac5c22e962a4fb07eb5d846bc112a2da0b45c6e29acbf35","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:23:00.287482Z","signature_b64":"mq5Jz4peSTJF1X7c6jjIM9ElONnuhrpv0kJrVYSMjsl3HxGyVw6T5u3Z8h8VXVx8W/Ex7Qe96q6TM/f3eCJ6DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a99d31aa4b68a0fdaac5c22e962a4fb07eb5d846bc112a2da0b45c6e29acbf35","last_reissued_at":"2026-07-05T07:23:00.287129Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:23:00.287129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.05166","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:23:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kzfRmo3Dd9QgFu8FWgc611MAM/HGVg7UE5Hcop1oZnRbUEIKTRHqur5qlXI42p7w/9J9rZrOUPwGycUFykfZCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:38:27.046855Z"},"content_sha256":"c0237d6cb8ab1bff7b5a8dfd18089e8340bf94abb914d51926f589effd0f3553","schema_version":"1.0","event_id":"sha256:c0237d6cb8ab1bff7b5a8dfd18089e8340bf94abb914d51926f589effd0f3553"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:VGOTDKSLNCQP3KWFYIXJMKSPWB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Sen Pei, Shixiong Xu, Xiaojie Jin","submitted_at":"2022-09-12T11:51:08Z","abstract_excerpt":"Video highlights detection (VHD) is an active research field in computer vision, aiming to locate the most user-appealing clips given raw video inputs. However, most VHD methods are based on the closed world assumption, i.e., a fixed number of highlight categories is defined in advance and all training data are available beforehand. Consequently, existing methods have poor scalability with respect to increasing highlight domains and training data. To address above issues, we propose a novel video highlights detection method named Global Prototype Encoding (GPE) to learn incrementally for adapt"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.05166","kind":"arxiv","version":4},"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/2209.05166/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":"2026-07-05T07:23:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RsUNIcl48mWkprb0n6JjnLKMU7z49mKiYs1iwlLiN758O5iSK3Q9TBOHyNQYMqKtWYLivJcswlrg866D+RrADw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:38:27.047354Z"},"content_sha256":"c53415e21143b23a262b13e154d208cc89e5e13703051ff64b205141a4875253","schema_version":"1.0","event_id":"sha256:c53415e21143b23a262b13e154d208cc89e5e13703051ff64b205141a4875253"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VGOTDKSLNCQP3KWFYIXJMKSPWB/bundle.json","state_url":"https://pith.science/pith/VGOTDKSLNCQP3KWFYIXJMKSPWB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VGOTDKSLNCQP3KWFYIXJMKSPWB/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":"2026-08-06T02:38:27Z","links":{"resolver":"https://pith.science/pith/VGOTDKSLNCQP3KWFYIXJMKSPWB","bundle":"https://pith.science/pith/VGOTDKSLNCQP3KWFYIXJMKSPWB/bundle.json","state":"https://pith.science/pith/VGOTDKSLNCQP3KWFYIXJMKSPWB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VGOTDKSLNCQP3KWFYIXJMKSPWB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:VGOTDKSLNCQP3KWFYIXJMKSPWB","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":"e06756682ccb43361c0d11980b21ae987150cb816f55c5fa283753d9aa2bd17a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-12T11:51:08Z","title_canon_sha256":"18302a63ba20a1aba9c479afcc209210131fca42f201e4e30e3742c768df6262"},"schema_version":"1.0","source":{"id":"2209.05166","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.05166","created_at":"2026-07-05T07:23:00Z"},{"alias_kind":"arxiv_version","alias_value":"2209.05166v4","created_at":"2026-07-05T07:23:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.05166","created_at":"2026-07-05T07:23:00Z"},{"alias_kind":"pith_short_12","alias_value":"VGOTDKSLNCQP","created_at":"2026-07-05T07:23:00Z"},{"alias_kind":"pith_short_16","alias_value":"VGOTDKSLNCQP3KWF","created_at":"2026-07-05T07:23:00Z"},{"alias_kind":"pith_short_8","alias_value":"VGOTDKSL","created_at":"2026-07-05T07:23:00Z"}],"graph_snapshots":[{"event_id":"sha256:c53415e21143b23a262b13e154d208cc89e5e13703051ff64b205141a4875253","target":"graph","created_at":"2026-07-05T07:23:00Z","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/2209.05166/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Video highlights detection (VHD) is an active research field in computer vision, aiming to locate the most user-appealing clips given raw video inputs. However, most VHD methods are based on the closed world assumption, i.e., a fixed number of highlight categories is defined in advance and all training data are available beforehand. Consequently, existing methods have poor scalability with respect to increasing highlight domains and training data. To address above issues, we propose a novel video highlights detection method named Global Prototype Encoding (GPE) to learn incrementally for adapt","authors_text":"Sen Pei, Shixiong Xu, Xiaojie Jin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-12T11:51:08Z","title":"Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.05166","kind":"arxiv","version":4},"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:c0237d6cb8ab1bff7b5a8dfd18089e8340bf94abb914d51926f589effd0f3553","target":"record","created_at":"2026-07-05T07:23:00Z","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":"e06756682ccb43361c0d11980b21ae987150cb816f55c5fa283753d9aa2bd17a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-12T11:51:08Z","title_canon_sha256":"18302a63ba20a1aba9c479afcc209210131fca42f201e4e30e3742c768df6262"},"schema_version":"1.0","source":{"id":"2209.05166","kind":"arxiv","version":4}},"canonical_sha256":"a99d31aa4b68a0fdaac5c22e962a4fb07eb5d846bc112a2da0b45c6e29acbf35","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a99d31aa4b68a0fdaac5c22e962a4fb07eb5d846bc112a2da0b45c6e29acbf35","first_computed_at":"2026-07-05T07:23:00.287129Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:23:00.287129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mq5Jz4peSTJF1X7c6jjIM9ElONnuhrpv0kJrVYSMjsl3HxGyVw6T5u3Z8h8VXVx8W/Ex7Qe96q6TM/f3eCJ6DA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:23:00.287482Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.05166","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c0237d6cb8ab1bff7b5a8dfd18089e8340bf94abb914d51926f589effd0f3553","sha256:c53415e21143b23a262b13e154d208cc89e5e13703051ff64b205141a4875253"],"state_sha256":"1324ca0a3123fb29189702fc3f71087510ccd7656747831558e0f44102ae264c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3s6fDkJNL1bplUWQbZuijeTDPVd2dgIR0Ks5aQkYcghUnaWVjA8jikMh0XehjCmFtjyjanUueMsRn5htYR/BAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T02:38:27.050765Z","bundle_sha256":"168bfdac0ae7632a8f503a6fdff56368fca2fb01f48d21db71a4065fb5858b4f"}}