{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WBRFUAQAUYHCXR2S6YL6F4SLZ5","short_pith_number":"pith:WBRFUAQA","canonical_record":{"source":{"id":"2608.07993","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T08:02:37Z","cross_cats_sorted":[],"title_canon_sha256":"c7bc1177ba704fe3798078c7254adef27a182ed7dab1176f46ef30294bc2850e","abstract_canon_sha256":"23fe14093bb65c6bd36cc256620b2c2ff23f9ce9741296ed01d70d7373339a66"},"schema_version":"1.0"},"canonical_sha256":"b0625a0200a60e2bc752f617e2f24bcf5641685fa3ee0766b3f96ae861136c39","source":{"kind":"arxiv","id":"2608.07993","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.07993","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"arxiv_version","alias_value":"2608.07993v1","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.07993","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"pith_short_12","alias_value":"WBRFUAQAUYHC","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"pith_short_16","alias_value":"WBRFUAQAUYHCXR2S","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"pith_short_8","alias_value":"WBRFUAQA","created_at":"2026-08-11T01:21:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WBRFUAQAUYHCXR2S6YL6F4SLZ5","target":"record","payload":{"canonical_record":{"source":{"id":"2608.07993","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T08:02:37Z","cross_cats_sorted":[],"title_canon_sha256":"c7bc1177ba704fe3798078c7254adef27a182ed7dab1176f46ef30294bc2850e","abstract_canon_sha256":"23fe14093bb65c6bd36cc256620b2c2ff23f9ce9741296ed01d70d7373339a66"},"schema_version":"1.0"},"canonical_sha256":"b0625a0200a60e2bc752f617e2f24bcf5641685fa3ee0766b3f96ae861136c39","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T01:21:20.185861Z","signature_b64":"PzS3OtqKkGfWLhkNTb6kfRPkrIy42qJ9+71tELg/n0wK6r8zUBthYS6sS0N2cerF/bVXTeXnlwia8iJ2CYn/DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b0625a0200a60e2bc752f617e2f24bcf5641685fa3ee0766b3f96ae861136c39","last_reissued_at":"2026-08-11T01:21:20.183322Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T01:21:20.183322Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.07993","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":"2026-08-11T01:21:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"inlqDrRLC2EUMmBJ//vvksBg4ZjhUVan1C/RayAZ9nxMmmhx/MmdXh5HUTCiPpMoYyhphzOoA4ctKblF0tCeBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T21:07:54.132253Z"},"content_sha256":"d940826627e8cb078b05d76cd85432351cff53cd7f6890483fb7dc90bdc36d97","schema_version":"1.0","event_id":"sha256:d940826627e8cb078b05d76cd85432351cff53cd7f6890483fb7dc90bdc36d97"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WBRFUAQAUYHCXR2S6YL6F4SLZ5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MRBench: A Comprehensive Benchmark for Human Motion-Text Retrieval","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chengqun Yang, Fulong Liu, Liang Xu, Xiaokang Yang, Yichao Yan, Yuhao Zhang","submitted_at":"2026-08-08T08:02:37Z","abstract_excerpt":"Human motion-text retrieval provides a rigorous means of assessing cross-modal alignment. Prevailing benchmarks are dominated by homogeneous indoor motions, imbalanced motion distributions, and oversimplified, repetitive texts, which hinder the reliable measurement of cross-domain and cross-granularity alignment. We thus introduce MRBench, a comprehensive motion-text retrieval benchmark featuring heterogeneous motions, broad and balanced category coverage, and reliable, discriminative, multi-granular descriptions. MRBench is constructed through a meticulously designed multi-stage data curation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.07993","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/2608.07993/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":"2026-08-11T01:21:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pbkHuw9NOK2PhlKjv/Z7PiNx+qlCGZ710eYHxIjGF1luFzN27vEh6SriujCQhk/CH5DcPgf4GoEw8HVyeO45DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T21:07:54.132759Z"},"content_sha256":"d658a56eb9c6afb3510d002f53d01a2cac10fbc249837e22ff54e2f619c09390","schema_version":"1.0","event_id":"sha256:d658a56eb9c6afb3510d002f53d01a2cac10fbc249837e22ff54e2f619c09390"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WBRFUAQAUYHCXR2S6YL6F4SLZ5/bundle.json","state_url":"https://pith.science/pith/WBRFUAQAUYHCXR2S6YL6F4SLZ5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WBRFUAQAUYHCXR2S6YL6F4SLZ5/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":"2026-08-12T21:07:54Z","links":{"resolver":"https://pith.science/pith/WBRFUAQAUYHCXR2S6YL6F4SLZ5","bundle":"https://pith.science/pith/WBRFUAQAUYHCXR2S6YL6F4SLZ5/bundle.json","state":"https://pith.science/pith/WBRFUAQAUYHCXR2S6YL6F4SLZ5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WBRFUAQAUYHCXR2S6YL6F4SLZ5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WBRFUAQAUYHCXR2S6YL6F4SLZ5","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":"23fe14093bb65c6bd36cc256620b2c2ff23f9ce9741296ed01d70d7373339a66","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T08:02:37Z","title_canon_sha256":"c7bc1177ba704fe3798078c7254adef27a182ed7dab1176f46ef30294bc2850e"},"schema_version":"1.0","source":{"id":"2608.07993","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.07993","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"arxiv_version","alias_value":"2608.07993v1","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.07993","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"pith_short_12","alias_value":"WBRFUAQAUYHC","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"pith_short_16","alias_value":"WBRFUAQAUYHCXR2S","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"pith_short_8","alias_value":"WBRFUAQA","created_at":"2026-08-11T01:21:20Z"}],"graph_snapshots":[{"event_id":"sha256:d658a56eb9c6afb3510d002f53d01a2cac10fbc249837e22ff54e2f619c09390","target":"graph","created_at":"2026-08-11T01:21:20Z","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/2608.07993/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human motion-text retrieval provides a rigorous means of assessing cross-modal alignment. Prevailing benchmarks are dominated by homogeneous indoor motions, imbalanced motion distributions, and oversimplified, repetitive texts, which hinder the reliable measurement of cross-domain and cross-granularity alignment. We thus introduce MRBench, a comprehensive motion-text retrieval benchmark featuring heterogeneous motions, broad and balanced category coverage, and reliable, discriminative, multi-granular descriptions. MRBench is constructed through a meticulously designed multi-stage data curation","authors_text":"Chengqun Yang, Fulong Liu, Liang Xu, Xiaokang Yang, Yichao Yan, Yuhao Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T08:02:37Z","title":"MRBench: A Comprehensive Benchmark for Human Motion-Text Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.07993","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:d940826627e8cb078b05d76cd85432351cff53cd7f6890483fb7dc90bdc36d97","target":"record","created_at":"2026-08-11T01:21:20Z","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":"23fe14093bb65c6bd36cc256620b2c2ff23f9ce9741296ed01d70d7373339a66","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T08:02:37Z","title_canon_sha256":"c7bc1177ba704fe3798078c7254adef27a182ed7dab1176f46ef30294bc2850e"},"schema_version":"1.0","source":{"id":"2608.07993","kind":"arxiv","version":1}},"canonical_sha256":"b0625a0200a60e2bc752f617e2f24bcf5641685fa3ee0766b3f96ae861136c39","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0625a0200a60e2bc752f617e2f24bcf5641685fa3ee0766b3f96ae861136c39","first_computed_at":"2026-08-11T01:21:20.183322Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T01:21:20.183322Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PzS3OtqKkGfWLhkNTb6kfRPkrIy42qJ9+71tELg/n0wK6r8zUBthYS6sS0N2cerF/bVXTeXnlwia8iJ2CYn/DA==","signature_status":"signed_v1","signed_at":"2026-08-11T01:21:20.185861Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.07993","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d940826627e8cb078b05d76cd85432351cff53cd7f6890483fb7dc90bdc36d97","sha256:d658a56eb9c6afb3510d002f53d01a2cac10fbc249837e22ff54e2f619c09390"],"state_sha256":"043c9674a6f9f18a448590ab25f500db397a5f319a58ee3e3228dbf6c9bb9601"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZPMiGkYEVZrSN5tsm8IrSay5mS2P2/WPDOYqhH9Tc1rTZvabZBMdZJb6NizqmbPsDNmV3jIpGD2H4Qaf6fhwDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T21:07:54.136889Z","bundle_sha256":"84994b008f2e014df3872541dfcc710cc8aedbebca71fbdae490fc127c5cacf8"}}