{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:L7OZIXDHT3VBKWJ6FA4SMROEFQ","short_pith_number":"pith:L7OZIXDH","canonical_record":{"source":{"id":"1812.06544","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-16T22:19:43Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"706bab90f34a784e4a7215a2e98b85dbcd53d2c5441ac67bd972cc5460f92470","abstract_canon_sha256":"c990b86053756bb8f0ecfd1d4142138e5ee151629a9096f163aea6fd3a5cdf92"},"schema_version":"1.0"},"canonical_sha256":"5fdd945c679eea15593e28392645c42c3a687f24611f4aadafc9f9828ea6e738","source":{"kind":"arxiv","id":"1812.06544","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.06544","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"arxiv_version","alias_value":"1812.06544v1","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.06544","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"pith_short_12","alias_value":"L7OZIXDHT3VB","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"L7OZIXDHT3VBKWJ6","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"L7OZIXDH","created_at":"2026-05-18T12:32:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:L7OZIXDHT3VBKWJ6FA4SMROEFQ","target":"record","payload":{"canonical_record":{"source":{"id":"1812.06544","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-16T22:19:43Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"706bab90f34a784e4a7215a2e98b85dbcd53d2c5441ac67bd972cc5460f92470","abstract_canon_sha256":"c990b86053756bb8f0ecfd1d4142138e5ee151629a9096f163aea6fd3a5cdf92"},"schema_version":"1.0"},"canonical_sha256":"5fdd945c679eea15593e28392645c42c3a687f24611f4aadafc9f9828ea6e738","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:58:09.936048Z","signature_b64":"xecw83aQsqV0US5LB9qR6Zv+6GH++FZIb1Bvh3JE4iXiHpNj9ftUrjxrMrBCMtyobn3YNcgDwYsRPZcJbKgaDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5fdd945c679eea15593e28392645c42c3a687f24611f4aadafc9f9828ea6e738","last_reissued_at":"2026-05-17T23:58:09.935433Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:58:09.935433Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.06544","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":"2026-05-17T23:58:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EVGnBtREbzHE/AvGo7xRSCOj+Uzyms3g+p1V6QuxBPkBNwdcxSOHRpauruMoQ7GSJ9B3vj2LMX7nPY5wc791BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T00:04:01.970473Z"},"content_sha256":"aa253b06cf33af98829c70d1200496a9a0b5b37178833428c46a63c19f9ca7f0","schema_version":"1.0","event_id":"sha256:aa253b06cf33af98829c70d1200496a9a0b5b37178833428c46a63c19f9ca7f0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:L7OZIXDHT3VBKWJ6FA4SMROEFQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Krishanu Sarker, Mohamed Masoud, Saeid Belkasim, Shihao Ji","submitted_at":"2018-12-16T22:19:43Z","abstract_excerpt":"Human activity recognition based on video streams has received numerous attentions in recent years. Due to lack of depth information, RGB video based activity recognition performs poorly compared to RGB-D video based solutions. On the other hand, acquiring depth information, inertia etc. is costly and requires special equipment, whereas RGB video streams are available in ordinary cameras. Hence, our goal is to investigate whether similar or even higher accuracy can be achieved with RGB-only modality. In this regard, we propose a novel framework that couples skeleton data extracted from RGB vid"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.06544","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":"2026-05-17T23:58:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BNRmMWBOT74zoCz/K6i7A3GXCSH7T7aoJsWDXA13JC0hNd8DXMz+0FoFSFrk2p3bN+2ZSfK+yhOIRzLHegfMBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T00:04:01.971082Z"},"content_sha256":"c982ab65379c88a8a67f4007923e140ebb42d0b0bee61bd7874231b5abec925b","schema_version":"1.0","event_id":"sha256:c982ab65379c88a8a67f4007923e140ebb42d0b0bee61bd7874231b5abec925b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L7OZIXDHT3VBKWJ6FA4SMROEFQ/bundle.json","state_url":"https://pith.science/pith/L7OZIXDHT3VBKWJ6FA4SMROEFQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L7OZIXDHT3VBKWJ6FA4SMROEFQ/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":"2026-07-02T00:04:01Z","links":{"resolver":"https://pith.science/pith/L7OZIXDHT3VBKWJ6FA4SMROEFQ","bundle":"https://pith.science/pith/L7OZIXDHT3VBKWJ6FA4SMROEFQ/bundle.json","state":"https://pith.science/pith/L7OZIXDHT3VBKWJ6FA4SMROEFQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L7OZIXDHT3VBKWJ6FA4SMROEFQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:L7OZIXDHT3VBKWJ6FA4SMROEFQ","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":"c990b86053756bb8f0ecfd1d4142138e5ee151629a9096f163aea6fd3a5cdf92","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-16T22:19:43Z","title_canon_sha256":"706bab90f34a784e4a7215a2e98b85dbcd53d2c5441ac67bd972cc5460f92470"},"schema_version":"1.0","source":{"id":"1812.06544","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.06544","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"arxiv_version","alias_value":"1812.06544v1","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.06544","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"pith_short_12","alias_value":"L7OZIXDHT3VB","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"L7OZIXDHT3VBKWJ6","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"L7OZIXDH","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:c982ab65379c88a8a67f4007923e140ebb42d0b0bee61bd7874231b5abec925b","target":"graph","created_at":"2026-05-17T23:58:09Z","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":"Human activity recognition based on video streams has received numerous attentions in recent years. Due to lack of depth information, RGB video based activity recognition performs poorly compared to RGB-D video based solutions. On the other hand, acquiring depth information, inertia etc. is costly and requires special equipment, whereas RGB video streams are available in ordinary cameras. Hence, our goal is to investigate whether similar or even higher accuracy can be achieved with RGB-only modality. In this regard, we propose a novel framework that couples skeleton data extracted from RGB vid","authors_text":"Krishanu Sarker, Mohamed Masoud, Saeid Belkasim, Shihao Ji","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-16T22:19:43Z","title":"Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.06544","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:aa253b06cf33af98829c70d1200496a9a0b5b37178833428c46a63c19f9ca7f0","target":"record","created_at":"2026-05-17T23:58:09Z","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":"c990b86053756bb8f0ecfd1d4142138e5ee151629a9096f163aea6fd3a5cdf92","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-16T22:19:43Z","title_canon_sha256":"706bab90f34a784e4a7215a2e98b85dbcd53d2c5441ac67bd972cc5460f92470"},"schema_version":"1.0","source":{"id":"1812.06544","kind":"arxiv","version":1}},"canonical_sha256":"5fdd945c679eea15593e28392645c42c3a687f24611f4aadafc9f9828ea6e738","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5fdd945c679eea15593e28392645c42c3a687f24611f4aadafc9f9828ea6e738","first_computed_at":"2026-05-17T23:58:09.935433Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:58:09.935433Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xecw83aQsqV0US5LB9qR6Zv+6GH++FZIb1Bvh3JE4iXiHpNj9ftUrjxrMrBCMtyobn3YNcgDwYsRPZcJbKgaDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:58:09.936048Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.06544","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa253b06cf33af98829c70d1200496a9a0b5b37178833428c46a63c19f9ca7f0","sha256:c982ab65379c88a8a67f4007923e140ebb42d0b0bee61bd7874231b5abec925b"],"state_sha256":"fad71e999becec04e1102820dcef325393eb96c8366219a6bcc023d1d4e4a735"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WbwowMREMTjYwWEKzMTxslbEMhVAhdx4gJQk9EbjaV48OVAwSG3j6ZInEAUoHMtLe4JEECO24WyBA4Pcc1EBAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T00:04:01.974546Z","bundle_sha256":"4ea18f554c1145dda718d37a9698a9d5cfcb8d3e39c6628770a0e98debc9d07f"}}