{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:67SKMAV6XZZR7DUVDXHG4KCXUI","short_pith_number":"pith:67SKMAV6","canonical_record":{"source":{"id":"2608.02285","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-03T14:16:18Z","cross_cats_sorted":[],"title_canon_sha256":"55ce810e28c1e8d893690583548272ae53d4bd75b4199bac50d9ab1822d3de17","abstract_canon_sha256":"01222b2cf24fb6e5caafee3955c9f96d223124ade3630986f0f798b0336c6f2c"},"schema_version":"1.0"},"canonical_sha256":"f7e4a602bebe731f8e951dce6e2857a23ed234123a69d6e1dcdca0a48928c489","source":{"kind":"arxiv","id":"2608.02285","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.02285","created_at":"2026-08-04T02:11:44Z"},{"alias_kind":"arxiv_version","alias_value":"2608.02285v1","created_at":"2026-08-04T02:11:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.02285","created_at":"2026-08-04T02:11:44Z"},{"alias_kind":"pith_short_12","alias_value":"67SKMAV6XZZR","created_at":"2026-08-04T02:11:44Z"},{"alias_kind":"pith_short_16","alias_value":"67SKMAV6XZZR7DUV","created_at":"2026-08-04T02:11:44Z"},{"alias_kind":"pith_short_8","alias_value":"67SKMAV6","created_at":"2026-08-04T02:11:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:67SKMAV6XZZR7DUVDXHG4KCXUI","target":"record","payload":{"canonical_record":{"source":{"id":"2608.02285","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-03T14:16:18Z","cross_cats_sorted":[],"title_canon_sha256":"55ce810e28c1e8d893690583548272ae53d4bd75b4199bac50d9ab1822d3de17","abstract_canon_sha256":"01222b2cf24fb6e5caafee3955c9f96d223124ade3630986f0f798b0336c6f2c"},"schema_version":"1.0"},"canonical_sha256":"f7e4a602bebe731f8e951dce6e2857a23ed234123a69d6e1dcdca0a48928c489","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T02:11:44.169081Z","signature_b64":"xcZu5YYAICiLkI7FkOBs+p+iUwdb7fbNx0x5tV7i1SmFGX97uEG4llpssNyCXLJRGtqKrdXFHc2h3clJQMoFDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7e4a602bebe731f8e951dce6e2857a23ed234123a69d6e1dcdca0a48928c489","last_reissued_at":"2026-08-04T02:11:44.167653Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T02:11:44.167653Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.02285","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":"2026-08-04T02:11:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wMYahKKn/wW1pMI0UmyYu1mkBuPfwDosfIeuwASi4Y5iWZtNAWAGhQwLPrH4pabJJ0FzpQAmGALbzGMAqiGnBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:51:59.876312Z"},"content_sha256":"f0c02aed88d39ba9bebbd6e59467ae0a7ad2369e1fea9d290258b788d5f9b68d","schema_version":"1.0","event_id":"sha256:f0c02aed88d39ba9bebbd6e59467ae0a7ad2369e1fea9d290258b788d5f9b68d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:67SKMAV6XZZR7DUVDXHG4KCXUI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sen-Cap: Sensor-Flexible and Noise-Resilient Human Motion Capture via LiDAR-Camera Integration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"2), (2) Digital Trust Centre, (3) EABOT.AI, Aoru Xue (1), China, China), Kwok-Yan Lam (2), Mao Ye (3), Nanyang Technological University, Shanghai, Singapore, Yiming Ren (1, Yuexin Ma (1) ((1) ShanghaiTech University, Yujing Sun (2)","submitted_at":"2026-08-03T14:16:18Z","abstract_excerpt":"We propose Sen-Cap, a Sensor-Flexible and Noise-Resilient 3D human motion Capture framework that integrates multi-modal data from LiDAR and camera. While multi-modal sensors provide richer information than single-modal sensors, existing approaches still suffer from two core challenges. First, multi-modal alignment/matching across arbitrarily deployed sensors is typically handled by explicit calibration, which propagates errors under changing viewpoints and in turn constrains deployment to fixed, highly overlapped layouts. Second, prior methods degrade under severe noise or partial sensor failu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.02285","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/2608.02285/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":"2026-08-04T02:11:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dpAGNvACKnMTriodbXRluA4RfWRvkLyuk+3s3aZESBp10Oj+bNDJifasifMUNBxJ/F3ePxfDHxZu46wNYCbRBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:51:59.877149Z"},"content_sha256":"70f9c8e3bf6cd958d284d255e7446ece9eda54fffdd753cd06000c0721579570","schema_version":"1.0","event_id":"sha256:70f9c8e3bf6cd958d284d255e7446ece9eda54fffdd753cd06000c0721579570"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:67SKMAV6XZZR7DUVDXHG4KCXUI","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1609/aaai.v39i9.32977) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Xue, A., Ren,Y., Song,Z., Ye, M., Zhu, X.,Ma, Y.:Freecap:hybridcalibration-free motion capture in open environments (2025).https://doi.org/10.1609/aaai. v39i9.32977 Sen-Cap 19","arxiv_id":"2608.02285","detector":"doi_compliance","evidence":{"ref_index":50,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1609/aaai","reconstructed_doi":"10.1609/aaai.v39i9.32977"},"severity":"advisory","ref_index":50,"audited_at":"2026-08-06T10:18:23.815977Z","event_type":"pith.integrity.v1","detected_doi":"10.1609/aaai.v39i9.32977","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"c64d2b88c22743034a22521d87ca0479ef768601d25a69b3676b4507dce109e5","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":18259,"payload_sha256":"afa077babf63732dda09294484d1122973901138409707db6a469e167097069a","signature_b64":"GuzZWOKzKtQibfLnIeS1cmPPQVXWxE2x0gLfnL/8n6PBCAClBC+3kqm2DS3l9TkLyWuEuQySYLfLvEiugwL4Dg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-06T10:18:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xj6g0p8jMc3lxchOs//i8C4/Hy76X4VjqLrjDS/k2oiHdvD5eCfwpUBc0NR2WJSNVYUCHQiC62TQGNHNag3YBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:51:59.880746Z"},"content_sha256":"381a79e1d3f4c5e131e58ea486f1a3d2c956f22f98bdfe2b475f5ee099834e77","schema_version":"1.0","event_id":"sha256:381a79e1d3f4c5e131e58ea486f1a3d2c956f22f98bdfe2b475f5ee099834e77"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:67SKMAV6XZZR7DUVDXHG4KCXUI","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1609/aaai.v39i9.32977 resolves to 'FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments'. A reader following the printed text alone cannot reach it.","snippet":"Xue, A., Ren,Y., Song,Z., Ye, M., Zhu, X.,Ma, Y.:Freecap:hybridcalibration-free motion capture in open environments (2025).https://doi.org/10.1609/aaai. v39i9.32977 Sen-Cap 19","arxiv_id":"2608.02285","detector":"doi_compliance","evidence":{"ref_index":50,"verdict_class":"incontrovertible","resolved_title":"FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments","printed_excerpt":"10.1609/aaai","reconstructed_doi":"10.1609/aaai.v39i9.32977"},"severity":"advisory","ref_index":50,"audited_at":"2026-08-04T10:08:12.363390Z","event_type":"pith.integrity.v1","detected_doi":"10.1609/aaai.v39i9.32977","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"e289d518cac72e75d1c3d66bc8b35c0b5e848fa0b04e13b5f6bac5e572131fba","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":17836,"payload_sha256":"cc6bdaa51272f99c0520da2762bcf53adc1dfc12a263d5c8097279c070ab9ce7","signature_b64":"2WA9S/prOCIrmVbF4BGJVsw/5+0C/ikycclxcOqTylcJfuLKtDp8ypqGMfiFiiEYKZW8KerPcFfVuJMjIpxwCA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-04T10:08:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zqeXV9budhHvglD0yUm/wrr3XUja9v+ognhTVIVutY45QfS33/oxYGdsJ/0GllMUHofKrA/ynQmGVFMCMBpGCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:51:59.881505Z"},"content_sha256":"5741da97e03024927e5c18f15d0ddaceeef14f9b286a9c111554ef10e5183d32","schema_version":"1.0","event_id":"sha256:5741da97e03024927e5c18f15d0ddaceeef14f9b286a9c111554ef10e5183d32"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/67SKMAV6XZZR7DUVDXHG4KCXUI/bundle.json","state_url":"https://pith.science/pith/67SKMAV6XZZR7DUVDXHG4KCXUI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/67SKMAV6XZZR7DUVDXHG4KCXUI/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":"2026-08-06T22:51:59Z","links":{"resolver":"https://pith.science/pith/67SKMAV6XZZR7DUVDXHG4KCXUI","bundle":"https://pith.science/pith/67SKMAV6XZZR7DUVDXHG4KCXUI/bundle.json","state":"https://pith.science/pith/67SKMAV6XZZR7DUVDXHG4KCXUI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/67SKMAV6XZZR7DUVDXHG4KCXUI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:67SKMAV6XZZR7DUVDXHG4KCXUI","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"01222b2cf24fb6e5caafee3955c9f96d223124ade3630986f0f798b0336c6f2c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-03T14:16:18Z","title_canon_sha256":"55ce810e28c1e8d893690583548272ae53d4bd75b4199bac50d9ab1822d3de17"},"schema_version":"1.0","source":{"id":"2608.02285","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.02285","created_at":"2026-08-04T02:11:44Z"},{"alias_kind":"arxiv_version","alias_value":"2608.02285v1","created_at":"2026-08-04T02:11:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.02285","created_at":"2026-08-04T02:11:44Z"},{"alias_kind":"pith_short_12","alias_value":"67SKMAV6XZZR","created_at":"2026-08-04T02:11:44Z"},{"alias_kind":"pith_short_16","alias_value":"67SKMAV6XZZR7DUV","created_at":"2026-08-04T02:11:44Z"},{"alias_kind":"pith_short_8","alias_value":"67SKMAV6","created_at":"2026-08-04T02:11:44Z"}],"graph_snapshots":[{"event_id":"sha256:70f9c8e3bf6cd958d284d255e7446ece9eda54fffdd753cd06000c0721579570","target":"graph","created_at":"2026-08-04T02:11:44Z","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/2608.02285/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose Sen-Cap, a Sensor-Flexible and Noise-Resilient 3D human motion Capture framework that integrates multi-modal data from LiDAR and camera. While multi-modal sensors provide richer information than single-modal sensors, existing approaches still suffer from two core challenges. First, multi-modal alignment/matching across arbitrarily deployed sensors is typically handled by explicit calibration, which propagates errors under changing viewpoints and in turn constrains deployment to fixed, highly overlapped layouts. Second, prior methods degrade under severe noise or partial sensor failu","authors_text":"2), (2) Digital Trust Centre, (3) EABOT.AI, Aoru Xue (1), China, China), Kwok-Yan Lam (2), Mao Ye (3), Nanyang Technological University, Shanghai, Singapore, Yiming Ren (1, Yuexin Ma (1) ((1) ShanghaiTech University, Yujing Sun (2)","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-03T14:16:18Z","title":"Sen-Cap: Sensor-Flexible and Noise-Resilient Human Motion Capture via LiDAR-Camera Integration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.02285","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:f0c02aed88d39ba9bebbd6e59467ae0a7ad2369e1fea9d290258b788d5f9b68d","target":"record","created_at":"2026-08-04T02:11:44Z","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":"01222b2cf24fb6e5caafee3955c9f96d223124ade3630986f0f798b0336c6f2c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-03T14:16:18Z","title_canon_sha256":"55ce810e28c1e8d893690583548272ae53d4bd75b4199bac50d9ab1822d3de17"},"schema_version":"1.0","source":{"id":"2608.02285","kind":"arxiv","version":1}},"canonical_sha256":"f7e4a602bebe731f8e951dce6e2857a23ed234123a69d6e1dcdca0a48928c489","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7e4a602bebe731f8e951dce6e2857a23ed234123a69d6e1dcdca0a48928c489","first_computed_at":"2026-08-04T02:11:44.167653Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T02:11:44.167653Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xcZu5YYAICiLkI7FkOBs+p+iUwdb7fbNx0x5tV7i1SmFGX97uEG4llpssNyCXLJRGtqKrdXFHc2h3clJQMoFDg==","signature_status":"signed_v1","signed_at":"2026-08-04T02:11:44.169081Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.02285","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:381a79e1d3f4c5e131e58ea486f1a3d2c956f22f98bdfe2b475f5ee099834e77","sha256:5741da97e03024927e5c18f15d0ddaceeef14f9b286a9c111554ef10e5183d32"]}],"invalid_events":[],"applied_event_ids":["sha256:f0c02aed88d39ba9bebbd6e59467ae0a7ad2369e1fea9d290258b788d5f9b68d","sha256:70f9c8e3bf6cd958d284d255e7446ece9eda54fffdd753cd06000c0721579570"],"state_sha256":"de1683d6e44129c268f5fc13299f094cd9991f6fcbd046f8b7802a361279b954"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ta5mHupYB5cCCmsTVhEe/lgLYCvy3/0GM9pRdpd4ElVAMJ5vQCxwY118wuILsZtEpyxQdB4yZ0DkqSmmZ4oTAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T22:51:59.885706Z","bundle_sha256":"f4fa3943e6678cc03f0f2d675d7068802407c90e90fed5ff902945bc383e3907"}}