{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VHUZN7UQ6G653HAY23NOFVFXD4","short_pith_number":"pith:VHUZN7UQ","canonical_record":{"source":{"id":"2505.01182","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-02T10:50:04Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"50f448cdb2c7794073b0b90a1c4b2b27fce8cd32ced5c8d5eb0bad7f7893a70b","abstract_canon_sha256":"559b743fb0eb47f66c9c25223b6b33fb151ecee58de924f459c297dee5eddaf8"},"schema_version":"1.0"},"canonical_sha256":"a9e996fe90f1bddd9c18d6dae2d4b71f0f3259c6d680c60b2d4e199eb1de3e60","source":{"kind":"arxiv","id":"2505.01182","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.01182","created_at":"2026-07-05T10:58:27Z"},{"alias_kind":"arxiv_version","alias_value":"2505.01182v2","created_at":"2026-07-05T10:58:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.01182","created_at":"2026-07-05T10:58:27Z"},{"alias_kind":"pith_short_12","alias_value":"VHUZN7UQ6G65","created_at":"2026-07-05T10:58:27Z"},{"alias_kind":"pith_short_16","alias_value":"VHUZN7UQ6G653HAY","created_at":"2026-07-05T10:58:27Z"},{"alias_kind":"pith_short_8","alias_value":"VHUZN7UQ","created_at":"2026-07-05T10:58:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VHUZN7UQ6G653HAY23NOFVFXD4","target":"record","payload":{"canonical_record":{"source":{"id":"2505.01182","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-02T10:50:04Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"50f448cdb2c7794073b0b90a1c4b2b27fce8cd32ced5c8d5eb0bad7f7893a70b","abstract_canon_sha256":"559b743fb0eb47f66c9c25223b6b33fb151ecee58de924f459c297dee5eddaf8"},"schema_version":"1.0"},"canonical_sha256":"a9e996fe90f1bddd9c18d6dae2d4b71f0f3259c6d680c60b2d4e199eb1de3e60","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:58:27.651550Z","signature_b64":"/efVnS7LlALTnYqAx28Rd/eS2eslos+2tnbFDYTs0eJokeNHfrqL8nwrlKEqNrYo3z/zPijPNh9f640/CZcUBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a9e996fe90f1bddd9c18d6dae2d4b71f0f3259c6d680c60b2d4e199eb1de3e60","last_reissued_at":"2026-07-05T10:58:27.650981Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:58:27.650981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.01182","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":"2026-07-05T10:58:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xGOTqHEbAbEhULImvymR+RvorhSrtGeqtWD8HZigHuwZToVp9MXuf777vqRtv6uNRvrOJmWdsoRhUH3RjYdYBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:31:19.932171Z"},"content_sha256":"dbfdc9e723bcc0cb390f14a6f615d13f1569cb39a1a2d699bb88bbbdc75e5c69","schema_version":"1.0","event_id":"sha256:dbfdc9e723bcc0cb390f14a6f615d13f1569cb39a1a2d699bb88bbbdc75e5c69"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VHUZN7UQ6G653HAY23NOFVFXD4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TSTMotion: Training-free Scene-aware Text-to-motion Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Dewen Soh, Haoxuan Qu, Hossein Rahmani, Jun Liu, Ping Hu, Qiuhong Ke, Ziyan Guo","submitted_at":"2025-05-02T10:50:04Z","abstract_excerpt":"Text-to-motion generation has recently garnered significant research interest, primarily focusing on generating human motion sequences in blank backgrounds. However, human motions commonly occur within diverse 3D scenes, which has prompted exploration into scene-aware text-to-motion generation methods. Yet, existing scene-aware methods often rely on large-scale ground-truth motion sequences in diverse 3D scenes, which poses practical challenges due to the expensive cost. To mitigate this challenge, we are the first to propose a \\textbf{T}raining-free \\textbf{S}cene-aware \\textbf{T}ext-to-\\text"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.01182","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/2505.01182/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":"2026-07-05T10:58:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MZQNXD7fQZ/IJ20qWoYP6O5Vxkf3hUicyHOUElqUgSE83LBYyhrbI4ju8ng2RzNV1A5eOzLGskqFPkey0PkXBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:31:19.933083Z"},"content_sha256":"460ab5b2627da93d551f868e608470f61038b2d931b20ada76a0638b785f9bf3","schema_version":"1.0","event_id":"sha256:460ab5b2627da93d551f868e608470f61038b2d931b20ada76a0638b785f9bf3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VHUZN7UQ6G653HAY23NOFVFXD4/bundle.json","state_url":"https://pith.science/pith/VHUZN7UQ6G653HAY23NOFVFXD4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VHUZN7UQ6G653HAY23NOFVFXD4/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":"2026-08-11T00:31:19Z","links":{"resolver":"https://pith.science/pith/VHUZN7UQ6G653HAY23NOFVFXD4","bundle":"https://pith.science/pith/VHUZN7UQ6G653HAY23NOFVFXD4/bundle.json","state":"https://pith.science/pith/VHUZN7UQ6G653HAY23NOFVFXD4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VHUZN7UQ6G653HAY23NOFVFXD4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VHUZN7UQ6G653HAY23NOFVFXD4","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":"559b743fb0eb47f66c9c25223b6b33fb151ecee58de924f459c297dee5eddaf8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-02T10:50:04Z","title_canon_sha256":"50f448cdb2c7794073b0b90a1c4b2b27fce8cd32ced5c8d5eb0bad7f7893a70b"},"schema_version":"1.0","source":{"id":"2505.01182","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.01182","created_at":"2026-07-05T10:58:27Z"},{"alias_kind":"arxiv_version","alias_value":"2505.01182v2","created_at":"2026-07-05T10:58:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.01182","created_at":"2026-07-05T10:58:27Z"},{"alias_kind":"pith_short_12","alias_value":"VHUZN7UQ6G65","created_at":"2026-07-05T10:58:27Z"},{"alias_kind":"pith_short_16","alias_value":"VHUZN7UQ6G653HAY","created_at":"2026-07-05T10:58:27Z"},{"alias_kind":"pith_short_8","alias_value":"VHUZN7UQ","created_at":"2026-07-05T10:58:27Z"}],"graph_snapshots":[{"event_id":"sha256:460ab5b2627da93d551f868e608470f61038b2d931b20ada76a0638b785f9bf3","target":"graph","created_at":"2026-07-05T10:58:27Z","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/2505.01182/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-motion generation has recently garnered significant research interest, primarily focusing on generating human motion sequences in blank backgrounds. However, human motions commonly occur within diverse 3D scenes, which has prompted exploration into scene-aware text-to-motion generation methods. Yet, existing scene-aware methods often rely on large-scale ground-truth motion sequences in diverse 3D scenes, which poses practical challenges due to the expensive cost. To mitigate this challenge, we are the first to propose a \\textbf{T}raining-free \\textbf{S}cene-aware \\textbf{T}ext-to-\\text","authors_text":"Dewen Soh, Haoxuan Qu, Hossein Rahmani, Jun Liu, Ping Hu, Qiuhong Ke, Ziyan Guo","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-02T10:50:04Z","title":"TSTMotion: Training-free Scene-aware Text-to-motion Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.01182","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:dbfdc9e723bcc0cb390f14a6f615d13f1569cb39a1a2d699bb88bbbdc75e5c69","target":"record","created_at":"2026-07-05T10:58:27Z","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":"559b743fb0eb47f66c9c25223b6b33fb151ecee58de924f459c297dee5eddaf8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-02T10:50:04Z","title_canon_sha256":"50f448cdb2c7794073b0b90a1c4b2b27fce8cd32ced5c8d5eb0bad7f7893a70b"},"schema_version":"1.0","source":{"id":"2505.01182","kind":"arxiv","version":2}},"canonical_sha256":"a9e996fe90f1bddd9c18d6dae2d4b71f0f3259c6d680c60b2d4e199eb1de3e60","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a9e996fe90f1bddd9c18d6dae2d4b71f0f3259c6d680c60b2d4e199eb1de3e60","first_computed_at":"2026-07-05T10:58:27.650981Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:27.650981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/efVnS7LlALTnYqAx28Rd/eS2eslos+2tnbFDYTs0eJokeNHfrqL8nwrlKEqNrYo3z/zPijPNh9f640/CZcUBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:27.651550Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.01182","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dbfdc9e723bcc0cb390f14a6f615d13f1569cb39a1a2d699bb88bbbdc75e5c69","sha256:460ab5b2627da93d551f868e608470f61038b2d931b20ada76a0638b785f9bf3"],"state_sha256":"7625f242ceb5f2754ca237739ee8afb0a7e4889554e956cd0d8bfef55b9cae47"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N8/9reQw1ngQ8VDkaF4gWEw4nj+koGvSoHTX2LG9XsjA6S/2KKwARxirmrXIvkJeEDgf4/GQszsA4VvTh9t2AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T00:31:19.942456Z","bundle_sha256":"be51394ea3c71fe7a8eb15d1b2712211e91f760b34aaa0693d12d83d597080de"}}