{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:IM7YCPQR3TAG7BDUUQT4UEH5RN","short_pith_number":"pith:IM7YCPQR","canonical_record":{"source":{"id":"2310.08042","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T05:33:25Z","cross_cats_sorted":[],"title_canon_sha256":"2b7c37375627be018631aae0b68d7506f5f511d46560ac93288bac979600264f","abstract_canon_sha256":"19a29fefe98425294776d099751ea65eff8d2e00843b0ee2da9c12a9b98800f9"},"schema_version":"1.0"},"canonical_sha256":"433f813e11dcc06f8474a427ca10fd8b571a9c7f6dbef94f99a5e19d62b5d1c3","source":{"kind":"arxiv","id":"2310.08042","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08042","created_at":"2026-07-05T07:00:00Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08042v1","created_at":"2026-07-05T07:00:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08042","created_at":"2026-07-05T07:00:00Z"},{"alias_kind":"pith_short_12","alias_value":"IM7YCPQR3TAG","created_at":"2026-07-05T07:00:00Z"},{"alias_kind":"pith_short_16","alias_value":"IM7YCPQR3TAG7BDU","created_at":"2026-07-05T07:00:00Z"},{"alias_kind":"pith_short_8","alias_value":"IM7YCPQR","created_at":"2026-07-05T07:00:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:IM7YCPQR3TAG7BDUUQT4UEH5RN","target":"record","payload":{"canonical_record":{"source":{"id":"2310.08042","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T05:33:25Z","cross_cats_sorted":[],"title_canon_sha256":"2b7c37375627be018631aae0b68d7506f5f511d46560ac93288bac979600264f","abstract_canon_sha256":"19a29fefe98425294776d099751ea65eff8d2e00843b0ee2da9c12a9b98800f9"},"schema_version":"1.0"},"canonical_sha256":"433f813e11dcc06f8474a427ca10fd8b571a9c7f6dbef94f99a5e19d62b5d1c3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:00:00.063628Z","signature_b64":"iu1gxZBSGEjNzbnV6lXOPwpJq2lmhvIGMlU3wQ92oVR9xuXTD93s8ZgveNL1x2svC4yFFgHnJd37FNeHyKajAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"433f813e11dcc06f8474a427ca10fd8b571a9c7f6dbef94f99a5e19d62b5d1c3","last_reissued_at":"2026-07-05T07:00:00.063157Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:00:00.063157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.08042","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":"2026-07-05T07:00:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xwLVTVVPxF6qNo5S49tmmJQ/w3ikHTD2TCPsQQ3L0cemrQ/OFV22ZeIBCMYYsdpaiv6+8msIhq270xqicp5XCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T17:49:50.463949Z"},"content_sha256":"34689f0bfbb6e9a8ba252aa9030fc8982de8a52010145b7a7d1cf3d2be212218","schema_version":"1.0","event_id":"sha256:34689f0bfbb6e9a8ba252aa9030fc8982de8a52010145b7a7d1cf3d2be212218"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:IM7YCPQR3TAG7BDUUQT4UEH5RN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"X-HRNet: Towards Lightweight Human Pose Estimation with Spatially Unidimensional Self-Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jingkuan Song, Lei Zhao, Xing Xu, Xuanhan Wang, Yixuan Zhou","submitted_at":"2023-10-12T05:33:25Z","abstract_excerpt":"High-resolution representation is necessary for human pose estimation to achieve high performance, and the ensuing problem is high computational complexity. In particular, predominant pose estimation methods estimate human joints by 2D single-peak heatmaps. Each 2D heatmap can be horizontally and vertically projected to and reconstructed by a pair of 1D heat vectors. Inspired by this observation, we introduce a lightweight and powerful alternative, Spatially Unidimensional Self-Attention (SUSA), to the pointwise (1x1) convolution that is the main computational bottleneck in the depthwise separ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08042","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/2310.08042/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":"2026-07-05T07:00:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ksSylRrBRepDceTyxCh96LqWD5hMM/1Z0aH6Xp9D/Pq6AWnBZhzO2S0lNx8LGOxX8KQZRfYJ9uvD5qKhNM9yAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T17:49:50.464513Z"},"content_sha256":"db41dc02469586c0244de1a4ceb02f1744496044e7cc35c9439aba721821acb2","schema_version":"1.0","event_id":"sha256:db41dc02469586c0244de1a4ceb02f1744496044e7cc35c9439aba721821acb2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IM7YCPQR3TAG7BDUUQT4UEH5RN/bundle.json","state_url":"https://pith.science/pith/IM7YCPQR3TAG7BDUUQT4UEH5RN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IM7YCPQR3TAG7BDUUQT4UEH5RN/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":"2026-08-12T17:49:50Z","links":{"resolver":"https://pith.science/pith/IM7YCPQR3TAG7BDUUQT4UEH5RN","bundle":"https://pith.science/pith/IM7YCPQR3TAG7BDUUQT4UEH5RN/bundle.json","state":"https://pith.science/pith/IM7YCPQR3TAG7BDUUQT4UEH5RN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IM7YCPQR3TAG7BDUUQT4UEH5RN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IM7YCPQR3TAG7BDUUQT4UEH5RN","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":"19a29fefe98425294776d099751ea65eff8d2e00843b0ee2da9c12a9b98800f9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T05:33:25Z","title_canon_sha256":"2b7c37375627be018631aae0b68d7506f5f511d46560ac93288bac979600264f"},"schema_version":"1.0","source":{"id":"2310.08042","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08042","created_at":"2026-07-05T07:00:00Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08042v1","created_at":"2026-07-05T07:00:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08042","created_at":"2026-07-05T07:00:00Z"},{"alias_kind":"pith_short_12","alias_value":"IM7YCPQR3TAG","created_at":"2026-07-05T07:00:00Z"},{"alias_kind":"pith_short_16","alias_value":"IM7YCPQR3TAG7BDU","created_at":"2026-07-05T07:00:00Z"},{"alias_kind":"pith_short_8","alias_value":"IM7YCPQR","created_at":"2026-07-05T07:00:00Z"}],"graph_snapshots":[{"event_id":"sha256:db41dc02469586c0244de1a4ceb02f1744496044e7cc35c9439aba721821acb2","target":"graph","created_at":"2026-07-05T07:00:00Z","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/2310.08042/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-resolution representation is necessary for human pose estimation to achieve high performance, and the ensuing problem is high computational complexity. In particular, predominant pose estimation methods estimate human joints by 2D single-peak heatmaps. Each 2D heatmap can be horizontally and vertically projected to and reconstructed by a pair of 1D heat vectors. Inspired by this observation, we introduce a lightweight and powerful alternative, Spatially Unidimensional Self-Attention (SUSA), to the pointwise (1x1) convolution that is the main computational bottleneck in the depthwise separ","authors_text":"Jingkuan Song, Lei Zhao, Xing Xu, Xuanhan Wang, Yixuan Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T05:33:25Z","title":"X-HRNet: Towards Lightweight Human Pose Estimation with Spatially Unidimensional Self-Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08042","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":"sha256:34689f0bfbb6e9a8ba252aa9030fc8982de8a52010145b7a7d1cf3d2be212218","target":"record","created_at":"2026-07-05T07:00:00Z","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":"19a29fefe98425294776d099751ea65eff8d2e00843b0ee2da9c12a9b98800f9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T05:33:25Z","title_canon_sha256":"2b7c37375627be018631aae0b68d7506f5f511d46560ac93288bac979600264f"},"schema_version":"1.0","source":{"id":"2310.08042","kind":"arxiv","version":1}},"canonical_sha256":"433f813e11dcc06f8474a427ca10fd8b571a9c7f6dbef94f99a5e19d62b5d1c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"433f813e11dcc06f8474a427ca10fd8b571a9c7f6dbef94f99a5e19d62b5d1c3","first_computed_at":"2026-07-05T07:00:00.063157Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:00:00.063157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iu1gxZBSGEjNzbnV6lXOPwpJq2lmhvIGMlU3wQ92oVR9xuXTD93s8ZgveNL1x2svC4yFFgHnJd37FNeHyKajAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:00:00.063628Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.08042","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34689f0bfbb6e9a8ba252aa9030fc8982de8a52010145b7a7d1cf3d2be212218","sha256:db41dc02469586c0244de1a4ceb02f1744496044e7cc35c9439aba721821acb2"],"state_sha256":"47adce2a8a091d048c1c6c1ca645894f68a6e655321b5f0d304875a183c584fa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tr5WjtmP4CyrXN3Mqn9Z7cfioMMNxceRo9CYBQXPMbW8AT5aYHIYXEZcgjL5LPr3I9L4i1xE97d9FYILi8HrBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T17:49:50.469369Z","bundle_sha256":"2b49abc61ffa0246022953002c736aeed4d0d2ed67e844a5041f77bb05781298"}}