{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:3AY2Q7I3WWPEFWTRY437L5EH7Q","short_pith_number":"pith:3AY2Q7I3","canonical_record":{"source":{"id":"1604.00906","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-04T15:21:16Z","cross_cats_sorted":[],"title_canon_sha256":"61eebbed699ea656583c7d8d21442ddbc1419197791d6159b2911c00e3f5dddd","abstract_canon_sha256":"a0607ddefda664a1caaf588ec0fbf83ea4a3ac3224bb0d872ab34ef20cd375f6"},"schema_version":"1.0"},"canonical_sha256":"d831a87d1bb59e42da71c737f5f487fc3437e3b7128f3f299c86d08afcd868c3","source":{"kind":"arxiv","id":"1604.00906","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.00906","created_at":"2026-05-18T01:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"1604.00906v1","created_at":"2026-05-18T01:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.00906","created_at":"2026-05-18T01:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"3AY2Q7I3WWPE","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_16","alias_value":"3AY2Q7I3WWPEFWTR","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_8","alias_value":"3AY2Q7I3","created_at":"2026-05-18T12:29:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:3AY2Q7I3WWPEFWTRY437L5EH7Q","target":"record","payload":{"canonical_record":{"source":{"id":"1604.00906","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-04T15:21:16Z","cross_cats_sorted":[],"title_canon_sha256":"61eebbed699ea656583c7d8d21442ddbc1419197791d6159b2911c00e3f5dddd","abstract_canon_sha256":"a0607ddefda664a1caaf588ec0fbf83ea4a3ac3224bb0d872ab34ef20cd375f6"},"schema_version":"1.0"},"canonical_sha256":"d831a87d1bb59e42da71c737f5f487fc3437e3b7128f3f299c86d08afcd868c3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:17:47.844247Z","signature_b64":"NX35B9jubJ6HjPvNUMVQe1VnXOut4Zi/tybFwMi2KZSJWtAmOSfnRXIPQhs/vikcky0VWXQDMPHgeagOEvecBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d831a87d1bb59e42da71c737f5f487fc3437e3b7128f3f299c86d08afcd868c3","last_reissued_at":"2026-05-18T01:17:47.843489Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:17:47.843489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1604.00906","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":"2026-05-18T01:17:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nSwZUuchuE6/rb2nf5z9LC1GImgg8DWyz14JkwdDvi01cowuEhQrdlmAAaYf5FDg9rFp7bXSCoNdugTsoDZHAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T10:28:43.531587Z"},"content_sha256":"f27003f32295a616533a68089afd3a14d80501a8698187f027a57097297c9262","schema_version":"1.0","event_id":"sha256:f27003f32295a616533a68089afd3a14d80501a8698187f027a57097297c9262"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:3AY2Q7I3WWPEFWTRY437L5EH7Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detecting Engagement in Egocentric Video","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Kristen Grauman, Yu-Chuan Su","submitted_at":"2016-04-04T15:21:16Z","abstract_excerpt":"In a wearable camera video, we see what the camera wearer sees. While this makes it easy to know roughly what he chose to look at, it does not immediately reveal when he was engaged with the environment. Specifically, at what moments did his focus linger, as he paused to gather more information about something he saw? Knowing this answer would benefit various applications in video summarization and augmented reality, yet prior work focuses solely on the \"what\" question (estimating saliency, gaze) without considering the \"when\" (engagement). We propose a learning-based approach that uses long-t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.00906","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":"2026-05-18T01:17:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zYgl2ExDzjbtR9Y1ksSd+K03rCa+LQJnomxeIrZX2ffnprQdhv+jxwfKIDPdDBOxaXjVylG3B44K5gXQO277Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T10:28:43.532256Z"},"content_sha256":"ec4d7d538f33eb1fbc65c630eba0d6d5670eae42449dadb85833efbd7b141c7a","schema_version":"1.0","event_id":"sha256:ec4d7d538f33eb1fbc65c630eba0d6d5670eae42449dadb85833efbd7b141c7a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3AY2Q7I3WWPEFWTRY437L5EH7Q/bundle.json","state_url":"https://pith.science/pith/3AY2Q7I3WWPEFWTRY437L5EH7Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3AY2Q7I3WWPEFWTRY437L5EH7Q/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":"2026-05-27T10:28:43Z","links":{"resolver":"https://pith.science/pith/3AY2Q7I3WWPEFWTRY437L5EH7Q","bundle":"https://pith.science/pith/3AY2Q7I3WWPEFWTRY437L5EH7Q/bundle.json","state":"https://pith.science/pith/3AY2Q7I3WWPEFWTRY437L5EH7Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3AY2Q7I3WWPEFWTRY437L5EH7Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:3AY2Q7I3WWPEFWTRY437L5EH7Q","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":"a0607ddefda664a1caaf588ec0fbf83ea4a3ac3224bb0d872ab34ef20cd375f6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-04T15:21:16Z","title_canon_sha256":"61eebbed699ea656583c7d8d21442ddbc1419197791d6159b2911c00e3f5dddd"},"schema_version":"1.0","source":{"id":"1604.00906","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.00906","created_at":"2026-05-18T01:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"1604.00906v1","created_at":"2026-05-18T01:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.00906","created_at":"2026-05-18T01:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"3AY2Q7I3WWPE","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_16","alias_value":"3AY2Q7I3WWPEFWTR","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_8","alias_value":"3AY2Q7I3","created_at":"2026-05-18T12:29:55Z"}],"graph_snapshots":[{"event_id":"sha256:ec4d7d538f33eb1fbc65c630eba0d6d5670eae42449dadb85833efbd7b141c7a","target":"graph","created_at":"2026-05-18T01:17:47Z","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":"In a wearable camera video, we see what the camera wearer sees. While this makes it easy to know roughly what he chose to look at, it does not immediately reveal when he was engaged with the environment. Specifically, at what moments did his focus linger, as he paused to gather more information about something he saw? Knowing this answer would benefit various applications in video summarization and augmented reality, yet prior work focuses solely on the \"what\" question (estimating saliency, gaze) without considering the \"when\" (engagement). We propose a learning-based approach that uses long-t","authors_text":"Kristen Grauman, Yu-Chuan Su","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-04T15:21:16Z","title":"Detecting Engagement in Egocentric Video"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.00906","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:f27003f32295a616533a68089afd3a14d80501a8698187f027a57097297c9262","target":"record","created_at":"2026-05-18T01:17:47Z","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":"a0607ddefda664a1caaf588ec0fbf83ea4a3ac3224bb0d872ab34ef20cd375f6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-04T15:21:16Z","title_canon_sha256":"61eebbed699ea656583c7d8d21442ddbc1419197791d6159b2911c00e3f5dddd"},"schema_version":"1.0","source":{"id":"1604.00906","kind":"arxiv","version":1}},"canonical_sha256":"d831a87d1bb59e42da71c737f5f487fc3437e3b7128f3f299c86d08afcd868c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d831a87d1bb59e42da71c737f5f487fc3437e3b7128f3f299c86d08afcd868c3","first_computed_at":"2026-05-18T01:17:47.843489Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:17:47.843489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NX35B9jubJ6HjPvNUMVQe1VnXOut4Zi/tybFwMi2KZSJWtAmOSfnRXIPQhs/vikcky0VWXQDMPHgeagOEvecBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:17:47.844247Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.00906","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f27003f32295a616533a68089afd3a14d80501a8698187f027a57097297c9262","sha256:ec4d7d538f33eb1fbc65c630eba0d6d5670eae42449dadb85833efbd7b141c7a"],"state_sha256":"86b176385d312c30f951dc8ce0eb20f96fc84ae9e926f6c12215927f2dcbd8b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qp0hvoQMENM6XYy+PV71ZigG6VmCWSD9qFjZCp9nxB+QsAl3E90dDRhIB92g7qUQWcEhXyk55ZjXS4IWr7r5CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T10:28:43.535591Z","bundle_sha256":"8c07239be26ef2ef1b6152a5204f945e5bf869b1447b443729430bae4efa8fe3"}}