{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:K266GKUGAB53ECYX6RVHLO34OJ","short_pith_number":"pith:K266GKUG","canonical_record":{"source":{"id":"2403.15612","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-22T20:49:26Z","cross_cats_sorted":[],"title_canon_sha256":"41d5ee944f216bea806207229a561bf0b007b88702e4300bbb7c590014b10cf9","abstract_canon_sha256":"745db406708ae1acddb1aacf69ae14818f0a92095b16a833311a959724d7dcaf"},"schema_version":"1.0"},"canonical_sha256":"56bde32a86007bb20b17f46a75bb7c7277e94ef29d7a953ca8d5563f02947327","source":{"kind":"arxiv","id":"2403.15612","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.15612","created_at":"2026-07-05T08:44:36Z"},{"alias_kind":"arxiv_version","alias_value":"2403.15612v2","created_at":"2026-07-05T08:44:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15612","created_at":"2026-07-05T08:44:36Z"},{"alias_kind":"pith_short_12","alias_value":"K266GKUGAB53","created_at":"2026-07-05T08:44:36Z"},{"alias_kind":"pith_short_16","alias_value":"K266GKUGAB53ECYX","created_at":"2026-07-05T08:44:36Z"},{"alias_kind":"pith_short_8","alias_value":"K266GKUG","created_at":"2026-07-05T08:44:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:K266GKUGAB53ECYX6RVHLO34OJ","target":"record","payload":{"canonical_record":{"source":{"id":"2403.15612","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-22T20:49:26Z","cross_cats_sorted":[],"title_canon_sha256":"41d5ee944f216bea806207229a561bf0b007b88702e4300bbb7c590014b10cf9","abstract_canon_sha256":"745db406708ae1acddb1aacf69ae14818f0a92095b16a833311a959724d7dcaf"},"schema_version":"1.0"},"canonical_sha256":"56bde32a86007bb20b17f46a75bb7c7277e94ef29d7a953ca8d5563f02947327","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:44:36.872237Z","signature_b64":"V0+zWaQYh6yBskYR6n5t4kx+3NFdBaq2xf/CB3yQN+Tr+5dYZNVwTzSuiMS5AtcZz1CCIXTlfdMwmOP1XJ2lBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"56bde32a86007bb20b17f46a75bb7c7277e94ef29d7a953ca8d5563f02947327","last_reissued_at":"2026-07-05T08:44:36.871827Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:44:36.871827Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.15612","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:44:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A9zItFDzERFzVYcyfOEJZJEm6MnF/05rge85xx9IJfLyj1xU3eiEwAIyuhwEIBxCKKd0OJyC6TWImyzLQU1BDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T09:29:46.211423Z"},"content_sha256":"434275108e52f7880b7f940bf134e226028378a7ec6413481c54640f06035fdb","schema_version":"1.0","event_id":"sha256:434275108e52f7880b7f940bf134e226028378a7ec6413481c54640f06035fdb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:K266GKUGAB53ECYX6RVHLO34OJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"InterFusion: Text-Driven Generation of 3D Human-Object Interaction","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chongyang Ma, Haibin Huang, Haowen Sun, Hui Huang, Kai Xu, Ruizhen Hu, Sisi Dai, Wenhao Li","submitted_at":"2024-03-22T20:49:26Z","abstract_excerpt":"In this study, we tackle the complex task of generating 3D human-object interactions (HOI) from textual descriptions in a zero-shot text-to-3D manner. We identify and address two key challenges: the unsatisfactory outcomes of direct text-to-3D methods in HOI, largely due to the lack of paired text-interaction data, and the inherent difficulties in simultaneously generating multiple concepts with complex spatial relationships. To effectively address these issues, we present InterFusion, a two-stage framework specifically designed for HOI generation. InterFusion involves human pose estimations d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15612","kind":"arxiv","version":2},"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/2403.15612/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":"2026-07-05T08:44:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vU+nPN4Jfupy4ePMny8VmHm9YYPXM+ncIJZEVHdk8dEZA++kRD83NoXK0OpVbAvKXvFgUmudxFcUha7HNvQNAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T09:29:46.211913Z"},"content_sha256":"bdac8ec40c18ff5ed7d420a36d8a3d09b60c2b227a59fca261e642940c46a885","schema_version":"1.0","event_id":"sha256:bdac8ec40c18ff5ed7d420a36d8a3d09b60c2b227a59fca261e642940c46a885"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K266GKUGAB53ECYX6RVHLO34OJ/bundle.json","state_url":"https://pith.science/pith/K266GKUGAB53ECYX6RVHLO34OJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K266GKUGAB53ECYX6RVHLO34OJ/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":"2026-08-13T09:29:46Z","links":{"resolver":"https://pith.science/pith/K266GKUGAB53ECYX6RVHLO34OJ","bundle":"https://pith.science/pith/K266GKUGAB53ECYX6RVHLO34OJ/bundle.json","state":"https://pith.science/pith/K266GKUGAB53ECYX6RVHLO34OJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K266GKUGAB53ECYX6RVHLO34OJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:K266GKUGAB53ECYX6RVHLO34OJ","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":"745db406708ae1acddb1aacf69ae14818f0a92095b16a833311a959724d7dcaf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-22T20:49:26Z","title_canon_sha256":"41d5ee944f216bea806207229a561bf0b007b88702e4300bbb7c590014b10cf9"},"schema_version":"1.0","source":{"id":"2403.15612","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.15612","created_at":"2026-07-05T08:44:36Z"},{"alias_kind":"arxiv_version","alias_value":"2403.15612v2","created_at":"2026-07-05T08:44:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15612","created_at":"2026-07-05T08:44:36Z"},{"alias_kind":"pith_short_12","alias_value":"K266GKUGAB53","created_at":"2026-07-05T08:44:36Z"},{"alias_kind":"pith_short_16","alias_value":"K266GKUGAB53ECYX","created_at":"2026-07-05T08:44:36Z"},{"alias_kind":"pith_short_8","alias_value":"K266GKUG","created_at":"2026-07-05T08:44:36Z"}],"graph_snapshots":[{"event_id":"sha256:bdac8ec40c18ff5ed7d420a36d8a3d09b60c2b227a59fca261e642940c46a885","target":"graph","created_at":"2026-07-05T08:44:36Z","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/2403.15612/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this study, we tackle the complex task of generating 3D human-object interactions (HOI) from textual descriptions in a zero-shot text-to-3D manner. We identify and address two key challenges: the unsatisfactory outcomes of direct text-to-3D methods in HOI, largely due to the lack of paired text-interaction data, and the inherent difficulties in simultaneously generating multiple concepts with complex spatial relationships. To effectively address these issues, we present InterFusion, a two-stage framework specifically designed for HOI generation. InterFusion involves human pose estimations d","authors_text":"Chongyang Ma, Haibin Huang, Haowen Sun, Hui Huang, Kai Xu, Ruizhen Hu, Sisi Dai, Wenhao Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-22T20:49:26Z","title":"InterFusion: Text-Driven Generation of 3D Human-Object Interaction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15612","kind":"arxiv","version":2},"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":"sha256:434275108e52f7880b7f940bf134e226028378a7ec6413481c54640f06035fdb","target":"record","created_at":"2026-07-05T08:44:36Z","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":"745db406708ae1acddb1aacf69ae14818f0a92095b16a833311a959724d7dcaf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-22T20:49:26Z","title_canon_sha256":"41d5ee944f216bea806207229a561bf0b007b88702e4300bbb7c590014b10cf9"},"schema_version":"1.0","source":{"id":"2403.15612","kind":"arxiv","version":2}},"canonical_sha256":"56bde32a86007bb20b17f46a75bb7c7277e94ef29d7a953ca8d5563f02947327","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"56bde32a86007bb20b17f46a75bb7c7277e94ef29d7a953ca8d5563f02947327","first_computed_at":"2026-07-05T08:44:36.871827Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:44:36.871827Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V0+zWaQYh6yBskYR6n5t4kx+3NFdBaq2xf/CB3yQN+Tr+5dYZNVwTzSuiMS5AtcZz1CCIXTlfdMwmOP1XJ2lBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:44:36.872237Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.15612","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:434275108e52f7880b7f940bf134e226028378a7ec6413481c54640f06035fdb","sha256:bdac8ec40c18ff5ed7d420a36d8a3d09b60c2b227a59fca261e642940c46a885"],"state_sha256":"739c1444c5215cbc4902c75d19a0065a99db018fe240d575e27b6ad4d3297dce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gYxKnMpe62ud1lrWj6kmJvjytGZHUeW9+Ghsj8hTvjVMgBG4vThBpXtaoPmRqGtMhRfFzzgNCKUEGcBtCfKkAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T09:29:46.215174Z","bundle_sha256":"bf39381c679ce4772d9bd104788191b41aab2d7cc39855d2384bbaa1408dc29b"}}