{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VBOUW2PYHZ3VC3YBFI7ERNBQZX","short_pith_number":"pith:VBOUW2PY","canonical_record":{"source":{"id":"2506.12848","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-15T13:42:21Z","cross_cats_sorted":[],"title_canon_sha256":"525996180d998720965fda52c3f39699db40612394bd070fa5a2d9b0dd4cf47d","abstract_canon_sha256":"796b9895e3a66aa0ad5bdb633f70b7704fb8d59e750a2be0c9aa8326032599be"},"schema_version":"1.0"},"canonical_sha256":"a85d4b69f83e77516f012a3e48b430cdec7652e44d002d14bfceb449f1426071","source":{"kind":"arxiv","id":"2506.12848","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.12848","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"arxiv_version","alias_value":"2506.12848v1","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12848","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"pith_short_12","alias_value":"VBOUW2PYHZ3V","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"pith_short_16","alias_value":"VBOUW2PYHZ3VC3YB","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"pith_short_8","alias_value":"VBOUW2PY","created_at":"2026-07-05T11:22:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VBOUW2PYHZ3VC3YBFI7ERNBQZX","target":"record","payload":{"canonical_record":{"source":{"id":"2506.12848","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-15T13:42:21Z","cross_cats_sorted":[],"title_canon_sha256":"525996180d998720965fda52c3f39699db40612394bd070fa5a2d9b0dd4cf47d","abstract_canon_sha256":"796b9895e3a66aa0ad5bdb633f70b7704fb8d59e750a2be0c9aa8326032599be"},"schema_version":"1.0"},"canonical_sha256":"a85d4b69f83e77516f012a3e48b430cdec7652e44d002d14bfceb449f1426071","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:01.291253Z","signature_b64":"08hMz1PN03zaOhG1Mt50FTieq8EiJ9wJDS6DBWZ61w4XnAtKABrkWrMbPiUMYKobbNJS0yx5Iq8woFqsqhKUDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a85d4b69f83e77516f012a3e48b430cdec7652e44d002d14bfceb449f1426071","last_reissued_at":"2026-07-05T11:22:01.290836Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:01.290836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.12848","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":"2026-07-05T11:22:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jCY1t9/J+DG5+BIOkfy9pAYKjwgCWkalNRqrRMr5/Q/u1j+1JIRSwZFij1dtV6jSGLER9dpnXVZl9YNONEydCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T15:48:43.634665Z"},"content_sha256":"2085af59cc4a84a745888808f8453a71999f7aa22f238368e5b11f779cff7ba8","schema_version":"1.0","event_id":"sha256:2085af59cc4a84a745888808f8453a71999f7aa22f238368e5b11f779cff7ba8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VBOUW2PYHZ3VC3YBFI7ERNBQZX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Fine-Grained Emotion Understanding via Skeleton-Based Micro-Gesture Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hao Xu, Lechao Cheng, Shengeng Tang, Yaxiong Wang, Zhun Zhong","submitted_at":"2025-06-15T13:42:21Z","abstract_excerpt":"We present our solution to the MiGA Challenge at IJCAI 2025, which aims to recognize micro-gestures (MGs) from skeleton sequences for the purpose of hidden emotion understanding. MGs are characterized by their subtlety, short duration, and low motion amplitude, making them particularly challenging to model and classify. We adopt PoseC3D as the baseline framework and introduce three key enhancements: (1) a topology-aware skeleton representation specifically designed for the iMiGUE dataset to better capture fine-grained motion patterns; (2) an improved temporal processing strategy that facilitat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12848","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/2506.12848/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":"2026-07-05T11:22:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A7cUpvMBOEAhddHPAEIQR0jJCZAw/flpPSurpEixJEUMEjJM1WdrRznWwSHvTfb1JHNS/GnKuqDrNZJsRu+RBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T15:48:43.635296Z"},"content_sha256":"27992df35737c8d5e0e766e9a1f0536683976a6dc2324f119d1d257860a1430e","schema_version":"1.0","event_id":"sha256:27992df35737c8d5e0e766e9a1f0536683976a6dc2324f119d1d257860a1430e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VBOUW2PYHZ3VC3YBFI7ERNBQZX/bundle.json","state_url":"https://pith.science/pith/VBOUW2PYHZ3VC3YBFI7ERNBQZX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VBOUW2PYHZ3VC3YBFI7ERNBQZX/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":"2026-07-05T15:48:43Z","links":{"resolver":"https://pith.science/pith/VBOUW2PYHZ3VC3YBFI7ERNBQZX","bundle":"https://pith.science/pith/VBOUW2PYHZ3VC3YBFI7ERNBQZX/bundle.json","state":"https://pith.science/pith/VBOUW2PYHZ3VC3YBFI7ERNBQZX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VBOUW2PYHZ3VC3YBFI7ERNBQZX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VBOUW2PYHZ3VC3YBFI7ERNBQZX","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":"796b9895e3a66aa0ad5bdb633f70b7704fb8d59e750a2be0c9aa8326032599be","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-15T13:42:21Z","title_canon_sha256":"525996180d998720965fda52c3f39699db40612394bd070fa5a2d9b0dd4cf47d"},"schema_version":"1.0","source":{"id":"2506.12848","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.12848","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"arxiv_version","alias_value":"2506.12848v1","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12848","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"pith_short_12","alias_value":"VBOUW2PYHZ3V","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"pith_short_16","alias_value":"VBOUW2PYHZ3VC3YB","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"pith_short_8","alias_value":"VBOUW2PY","created_at":"2026-07-05T11:22:01Z"}],"graph_snapshots":[{"event_id":"sha256:27992df35737c8d5e0e766e9a1f0536683976a6dc2324f119d1d257860a1430e","target":"graph","created_at":"2026-07-05T11:22:01Z","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/2506.12848/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present our solution to the MiGA Challenge at IJCAI 2025, which aims to recognize micro-gestures (MGs) from skeleton sequences for the purpose of hidden emotion understanding. MGs are characterized by their subtlety, short duration, and low motion amplitude, making them particularly challenging to model and classify. We adopt PoseC3D as the baseline framework and introduce three key enhancements: (1) a topology-aware skeleton representation specifically designed for the iMiGUE dataset to better capture fine-grained motion patterns; (2) an improved temporal processing strategy that facilitat","authors_text":"Hao Xu, Lechao Cheng, Shengeng Tang, Yaxiong Wang, Zhun Zhong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-15T13:42:21Z","title":"Towards Fine-Grained Emotion Understanding via Skeleton-Based Micro-Gesture Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12848","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":"sha256:2085af59cc4a84a745888808f8453a71999f7aa22f238368e5b11f779cff7ba8","target":"record","created_at":"2026-07-05T11:22:01Z","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":"796b9895e3a66aa0ad5bdb633f70b7704fb8d59e750a2be0c9aa8326032599be","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-15T13:42:21Z","title_canon_sha256":"525996180d998720965fda52c3f39699db40612394bd070fa5a2d9b0dd4cf47d"},"schema_version":"1.0","source":{"id":"2506.12848","kind":"arxiv","version":1}},"canonical_sha256":"a85d4b69f83e77516f012a3e48b430cdec7652e44d002d14bfceb449f1426071","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a85d4b69f83e77516f012a3e48b430cdec7652e44d002d14bfceb449f1426071","first_computed_at":"2026-07-05T11:22:01.290836Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:01.290836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"08hMz1PN03zaOhG1Mt50FTieq8EiJ9wJDS6DBWZ61w4XnAtKABrkWrMbPiUMYKobbNJS0yx5Iq8woFqsqhKUDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:01.291253Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.12848","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2085af59cc4a84a745888808f8453a71999f7aa22f238368e5b11f779cff7ba8","sha256:27992df35737c8d5e0e766e9a1f0536683976a6dc2324f119d1d257860a1430e"],"state_sha256":"3b0c662cb331942ee881833f71c679f50484f2ec35778c8c822e03dc14d8a9b5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uk7mQdXPGRxqSmRfNj46n1fZ4vfVUbkJDk7wl+WZ/D2bSogalwDwOPwSAosrMivbTDJgv0viOjj/CeLuy40hDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T15:48:43.639339Z","bundle_sha256":"92360815c0db39c7e658a978f8f328eca32df09e1eea9f3d60bbdeae2a8f2feb"}}