{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:564I5EF5NJGO4Y7YFHEUZSFI23","short_pith_number":"pith:564I5EF5","canonical_record":{"source":{"id":"2310.10547","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-16T16:15:11Z","cross_cats_sorted":[],"title_canon_sha256":"471c2c8cff0f4bf07c8e230a472e41c9bd73b1de784081156e0385308962b6aa","abstract_canon_sha256":"4689646de8f287f485f4f21558ef8a6cd7655e5b9e9310d76b080fcb7d7a0c06"},"schema_version":"1.0"},"canonical_sha256":"efb88e90bd6a4cee63f829c94cc8a8d6e3fbd86edd9db63dff653830ebf080ec","source":{"kind":"arxiv","id":"2310.10547","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10547","created_at":"2026-07-05T09:25:34Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10547v1","created_at":"2026-07-05T09:25:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10547","created_at":"2026-07-05T09:25:34Z"},{"alias_kind":"pith_short_12","alias_value":"564I5EF5NJGO","created_at":"2026-07-05T09:25:34Z"},{"alias_kind":"pith_short_16","alias_value":"564I5EF5NJGO4Y7Y","created_at":"2026-07-05T09:25:34Z"},{"alias_kind":"pith_short_8","alias_value":"564I5EF5","created_at":"2026-07-05T09:25:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:564I5EF5NJGO4Y7YFHEUZSFI23","target":"record","payload":{"canonical_record":{"source":{"id":"2310.10547","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-16T16:15:11Z","cross_cats_sorted":[],"title_canon_sha256":"471c2c8cff0f4bf07c8e230a472e41c9bd73b1de784081156e0385308962b6aa","abstract_canon_sha256":"4689646de8f287f485f4f21558ef8a6cd7655e5b9e9310d76b080fcb7d7a0c06"},"schema_version":"1.0"},"canonical_sha256":"efb88e90bd6a4cee63f829c94cc8a8d6e3fbd86edd9db63dff653830ebf080ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:25:34.822069Z","signature_b64":"4jhW1m2Hb6cMlyvZgNy6WDVsCYP0PEjJ2JVmbZtI3t3HejHItTU0r3vsg4um1rkxlitBpBzsVQbZsvhbACNTCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"efb88e90bd6a4cee63f829c94cc8a8d6e3fbd86edd9db63dff653830ebf080ec","last_reissued_at":"2026-07-05T09:25:34.821479Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:25:34.821479Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.10547","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":"2026-07-05T09:25:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VsUbx1CRpuUbfEThJl67uQ/FgbT12nWDl+9X5mH8hd9CfFOarqpVTn6HhI8V/rKAFwsVhWSOY7Su51ed31Q3CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T05:02:14.369656Z"},"content_sha256":"34fbf026cdb3be1cfad9498c0b859d54ad50c905f7eeeaa840404a03650da63b","schema_version":"1.0","event_id":"sha256:34fbf026cdb3be1cfad9498c0b859d54ad50c905f7eeeaa840404a03650da63b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:564I5EF5NJGO4Y7YFHEUZSFI23","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hyung-gun Chi, Karthik Ramani, Qixing Huang, Seunggeun Chi","submitted_at":"2023-10-16T16:15:11Z","abstract_excerpt":"Skeleton-based action recognition has made significant advancements recently, with models like InfoGCN showcasing remarkable accuracy. However, these models exhibit a key limitation: they necessitate complete action observation prior to classification, which constrains their applicability in real-time situations such as surveillance and robotic systems. To overcome this barrier, we introduce InfoGCN++, an innovative extension of InfoGCN, explicitly developed for online skeleton-based action recognition. InfoGCN++ augments the abilities of the original InfoGCN model by allowing real-time catego"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10547","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/2310.10547/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":"2026-07-05T09:25:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zRaLIs5RgGi4rIT7TDWDWvjMZ2SfU0i8EscFg1QUbfenlm/8fyXgCf4qsCO3n3piMm47pfM85+fHXY6twPkkCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T05:02:14.369989Z"},"content_sha256":"187d509e192f998bfbfce0451da927ed0fd5220aa81b022bf0af671726a77776","schema_version":"1.0","event_id":"sha256:187d509e192f998bfbfce0451da927ed0fd5220aa81b022bf0af671726a77776"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/564I5EF5NJGO4Y7YFHEUZSFI23/bundle.json","state_url":"https://pith.science/pith/564I5EF5NJGO4Y7YFHEUZSFI23/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/564I5EF5NJGO4Y7YFHEUZSFI23/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":"2026-08-18T05:02:14Z","links":{"resolver":"https://pith.science/pith/564I5EF5NJGO4Y7YFHEUZSFI23","bundle":"https://pith.science/pith/564I5EF5NJGO4Y7YFHEUZSFI23/bundle.json","state":"https://pith.science/pith/564I5EF5NJGO4Y7YFHEUZSFI23/state.json","well_known_bundle":"https://pith.science/.well-known/pith/564I5EF5NJGO4Y7YFHEUZSFI23/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:564I5EF5NJGO4Y7YFHEUZSFI23","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":"4689646de8f287f485f4f21558ef8a6cd7655e5b9e9310d76b080fcb7d7a0c06","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-16T16:15:11Z","title_canon_sha256":"471c2c8cff0f4bf07c8e230a472e41c9bd73b1de784081156e0385308962b6aa"},"schema_version":"1.0","source":{"id":"2310.10547","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10547","created_at":"2026-07-05T09:25:34Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10547v1","created_at":"2026-07-05T09:25:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10547","created_at":"2026-07-05T09:25:34Z"},{"alias_kind":"pith_short_12","alias_value":"564I5EF5NJGO","created_at":"2026-07-05T09:25:34Z"},{"alias_kind":"pith_short_16","alias_value":"564I5EF5NJGO4Y7Y","created_at":"2026-07-05T09:25:34Z"},{"alias_kind":"pith_short_8","alias_value":"564I5EF5","created_at":"2026-07-05T09:25:34Z"}],"graph_snapshots":[{"event_id":"sha256:187d509e192f998bfbfce0451da927ed0fd5220aa81b022bf0af671726a77776","target":"graph","created_at":"2026-07-05T09:25:34Z","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/2310.10547/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Skeleton-based action recognition has made significant advancements recently, with models like InfoGCN showcasing remarkable accuracy. However, these models exhibit a key limitation: they necessitate complete action observation prior to classification, which constrains their applicability in real-time situations such as surveillance and robotic systems. To overcome this barrier, we introduce InfoGCN++, an innovative extension of InfoGCN, explicitly developed for online skeleton-based action recognition. InfoGCN++ augments the abilities of the original InfoGCN model by allowing real-time catego","authors_text":"Hyung-gun Chi, Karthik Ramani, Qixing Huang, Seunggeun Chi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-16T16:15:11Z","title":"InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10547","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":"sha256:34fbf026cdb3be1cfad9498c0b859d54ad50c905f7eeeaa840404a03650da63b","target":"record","created_at":"2026-07-05T09:25:34Z","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":"4689646de8f287f485f4f21558ef8a6cd7655e5b9e9310d76b080fcb7d7a0c06","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-16T16:15:11Z","title_canon_sha256":"471c2c8cff0f4bf07c8e230a472e41c9bd73b1de784081156e0385308962b6aa"},"schema_version":"1.0","source":{"id":"2310.10547","kind":"arxiv","version":1}},"canonical_sha256":"efb88e90bd6a4cee63f829c94cc8a8d6e3fbd86edd9db63dff653830ebf080ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"efb88e90bd6a4cee63f829c94cc8a8d6e3fbd86edd9db63dff653830ebf080ec","first_computed_at":"2026-07-05T09:25:34.821479Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:25:34.821479Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4jhW1m2Hb6cMlyvZgNy6WDVsCYP0PEjJ2JVmbZtI3t3HejHItTU0r3vsg4um1rkxlitBpBzsVQbZsvhbACNTCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:25:34.822069Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.10547","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34fbf026cdb3be1cfad9498c0b859d54ad50c905f7eeeaa840404a03650da63b","sha256:187d509e192f998bfbfce0451da927ed0fd5220aa81b022bf0af671726a77776"],"state_sha256":"661676009c4beb1b1f3e3a8fabf5cf29ecc82933f901530af5fab8e494477e24"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F5YqfleF9s2KAyL3gtXjv1xn8pdjgQyTEHpJPXQ5z8yj2lSXaJkoHeDHx02Et/Sj1IhHSt1jLIHC5UhpHw+hDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T05:02:14.373773Z","bundle_sha256":"1efd5b3391b72ace7eff616425af7f2ba813e81b29242e321c293ebb0bd2fa4b"}}