{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:CLXY7OF7QGFLVBE7NJXRKEF4Q5","short_pith_number":"pith:CLXY7OF7","canonical_record":{"source":{"id":"2302.00391","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-01T12:02:04Z","cross_cats_sorted":["cs.AI","cs.GR"],"title_canon_sha256":"1653196278d439faefba6257320bc517f8270a93f1727d9335e6fdd5f7c4fb1b","abstract_canon_sha256":"362225f8e3886a242bfdc5a64939217b02f6e0684853e335dee083f5f97f9f0f"},"schema_version":"1.0"},"canonical_sha256":"12ef8fb8bf818aba849f6a6f1510bc87628a18e51f497bb1cc987711f79dffb6","source":{"kind":"arxiv","id":"2302.00391","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.00391","created_at":"2026-07-05T06:33:32Z"},{"alias_kind":"arxiv_version","alias_value":"2302.00391v1","created_at":"2026-07-05T06:33:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.00391","created_at":"2026-07-05T06:33:32Z"},{"alias_kind":"pith_short_12","alias_value":"CLXY7OF7QGFL","created_at":"2026-07-05T06:33:32Z"},{"alias_kind":"pith_short_16","alias_value":"CLXY7OF7QGFLVBE7","created_at":"2026-07-05T06:33:32Z"},{"alias_kind":"pith_short_8","alias_value":"CLXY7OF7","created_at":"2026-07-05T06:33:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:CLXY7OF7QGFLVBE7NJXRKEF4Q5","target":"record","payload":{"canonical_record":{"source":{"id":"2302.00391","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-01T12:02:04Z","cross_cats_sorted":["cs.AI","cs.GR"],"title_canon_sha256":"1653196278d439faefba6257320bc517f8270a93f1727d9335e6fdd5f7c4fb1b","abstract_canon_sha256":"362225f8e3886a242bfdc5a64939217b02f6e0684853e335dee083f5f97f9f0f"},"schema_version":"1.0"},"canonical_sha256":"12ef8fb8bf818aba849f6a6f1510bc87628a18e51f497bb1cc987711f79dffb6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:33:32.669891Z","signature_b64":"bfXxU9DSasjUC6NfSynDqRgMpnldhjXfD1IqFuRwbKDyeE9Cxh8oTd8AQY0cCMoC0T3Fl8PP+lO2KM+evTiPDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12ef8fb8bf818aba849f6a6f1510bc87628a18e51f497bb1cc987711f79dffb6","last_reissued_at":"2026-07-05T06:33:32.669354Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:33:32.669354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.00391","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":"2026-07-05T06:33:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aqrobTfftKvQs6LEWMuf8k/tb8nAfZd8xq6x+Lvtwn2QCsUYdEmc0bOsQuSJf3QIC9H1Ga3Mc0qOUzaCXTl0CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T14:15:52.097972Z"},"content_sha256":"1f9b61784f1a568bb1c820b994391fd71bb21582ab59cf1a221ad6ea34027ad4","schema_version":"1.0","event_id":"sha256:1f9b61784f1a568bb1c820b994391fd71bb21582ab59cf1a221ad6ea34027ad4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:CLXY7OF7QGFLVBE7NJXRKEF4Q5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.GR"],"primary_cat":"cs.CV","authors_text":"Bo Zhou, Lala Shakti Swarup Ray, Paul Lukowicz, Sungho Suh","submitted_at":"2023-02-01T12:02:04Z","abstract_excerpt":"Ground pressure exerted by the human body is a valuable source of information for human activity recognition (HAR) in unobtrusive pervasive sensing. While data collection from pressure sensors to develop HAR solutions requires significant resources and effort, we present a novel end-to-end framework, PresSim, to synthesize sensor data from videos of human activities to reduce such effort significantly. PresSim adopts a 3-stage process: first, extract the 3D activity information from videos with computer vision architectures; then simulate the floor mesh deformation profiles based on the 3D act"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.00391","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/2302.00391/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":"2026-07-05T06:33:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QSDGGNTYH2Uw1jGbfYy8P87MYPIl7oJwXzlAqq8dVLDhpMcbHyLksnwCs4MQ1NA4mbGjcu8NQ6FSizHINPWZCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T14:15:52.098640Z"},"content_sha256":"d5c3a72ae783264b2e829e7903f05f9c7143a3cfb49b13cf2c70ee88157436d8","schema_version":"1.0","event_id":"sha256:d5c3a72ae783264b2e829e7903f05f9c7143a3cfb49b13cf2c70ee88157436d8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CLXY7OF7QGFLVBE7NJXRKEF4Q5/bundle.json","state_url":"https://pith.science/pith/CLXY7OF7QGFLVBE7NJXRKEF4Q5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CLXY7OF7QGFLVBE7NJXRKEF4Q5/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":"2026-07-05T14:15:52Z","links":{"resolver":"https://pith.science/pith/CLXY7OF7QGFLVBE7NJXRKEF4Q5","bundle":"https://pith.science/pith/CLXY7OF7QGFLVBE7NJXRKEF4Q5/bundle.json","state":"https://pith.science/pith/CLXY7OF7QGFLVBE7NJXRKEF4Q5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CLXY7OF7QGFLVBE7NJXRKEF4Q5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CLXY7OF7QGFLVBE7NJXRKEF4Q5","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":"362225f8e3886a242bfdc5a64939217b02f6e0684853e335dee083f5f97f9f0f","cross_cats_sorted":["cs.AI","cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-01T12:02:04Z","title_canon_sha256":"1653196278d439faefba6257320bc517f8270a93f1727d9335e6fdd5f7c4fb1b"},"schema_version":"1.0","source":{"id":"2302.00391","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.00391","created_at":"2026-07-05T06:33:32Z"},{"alias_kind":"arxiv_version","alias_value":"2302.00391v1","created_at":"2026-07-05T06:33:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.00391","created_at":"2026-07-05T06:33:32Z"},{"alias_kind":"pith_short_12","alias_value":"CLXY7OF7QGFL","created_at":"2026-07-05T06:33:32Z"},{"alias_kind":"pith_short_16","alias_value":"CLXY7OF7QGFLVBE7","created_at":"2026-07-05T06:33:32Z"},{"alias_kind":"pith_short_8","alias_value":"CLXY7OF7","created_at":"2026-07-05T06:33:32Z"}],"graph_snapshots":[{"event_id":"sha256:d5c3a72ae783264b2e829e7903f05f9c7143a3cfb49b13cf2c70ee88157436d8","target":"graph","created_at":"2026-07-05T06:33:32Z","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/2302.00391/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Ground pressure exerted by the human body is a valuable source of information for human activity recognition (HAR) in unobtrusive pervasive sensing. While data collection from pressure sensors to develop HAR solutions requires significant resources and effort, we present a novel end-to-end framework, PresSim, to synthesize sensor data from videos of human activities to reduce such effort significantly. PresSim adopts a 3-stage process: first, extract the 3D activity information from videos with computer vision architectures; then simulate the floor mesh deformation profiles based on the 3D act","authors_text":"Bo Zhou, Lala Shakti Swarup Ray, Paul Lukowicz, Sungho Suh","cross_cats":["cs.AI","cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-01T12:02:04Z","title":"PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.00391","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":"sha256:1f9b61784f1a568bb1c820b994391fd71bb21582ab59cf1a221ad6ea34027ad4","target":"record","created_at":"2026-07-05T06:33:32Z","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":"362225f8e3886a242bfdc5a64939217b02f6e0684853e335dee083f5f97f9f0f","cross_cats_sorted":["cs.AI","cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-01T12:02:04Z","title_canon_sha256":"1653196278d439faefba6257320bc517f8270a93f1727d9335e6fdd5f7c4fb1b"},"schema_version":"1.0","source":{"id":"2302.00391","kind":"arxiv","version":1}},"canonical_sha256":"12ef8fb8bf818aba849f6a6f1510bc87628a18e51f497bb1cc987711f79dffb6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12ef8fb8bf818aba849f6a6f1510bc87628a18e51f497bb1cc987711f79dffb6","first_computed_at":"2026-07-05T06:33:32.669354Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:33:32.669354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bfXxU9DSasjUC6NfSynDqRgMpnldhjXfD1IqFuRwbKDyeE9Cxh8oTd8AQY0cCMoC0T3Fl8PP+lO2KM+evTiPDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:33:32.669891Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.00391","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f9b61784f1a568bb1c820b994391fd71bb21582ab59cf1a221ad6ea34027ad4","sha256:d5c3a72ae783264b2e829e7903f05f9c7143a3cfb49b13cf2c70ee88157436d8"],"state_sha256":"486f329ebde8b5dea7cc0c9bb6fb7e5105831e34a2f73058c95e549c198f3f41"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T2weWWp8Vj2oKqlWasGzBIIwurh76YSTbnKG0/jc21ZR9RfyfoFCZ+I4cRF290Z3sEa1WLE6KC2MN8EbjyC/AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T14:15:52.101750Z","bundle_sha256":"0020fa7e9934b45fb7045fd175e26b6aa5f077ea17ccff18cb5a5baa05d17d24"}}