{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WZYHQLXDNQFYR6CAC6XVKMH52P","short_pith_number":"pith:WZYHQLXD","canonical_record":{"source":{"id":"2606.24986","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-23T14:24:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5ddb3e9cbc0f156a6de157079a4320398b223eeea8657896b53d76c03e305b1f","abstract_canon_sha256":"434bd590c165ca1dc358ab6508cc0eb42f8f96edea764f4301ec89fbf274ea1d"},"schema_version":"1.0"},"canonical_sha256":"b670782ee36c0b88f84017af5530fdd3c02a83ca109e795fcc473a62a3f76b47","source":{"kind":"arxiv","id":"2606.24986","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.24986","created_at":"2026-06-25T00:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"2606.24986v1","created_at":"2026-06-25T00:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.24986","created_at":"2026-06-25T00:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"WZYHQLXDNQFY","created_at":"2026-06-25T00:17:47Z"},{"alias_kind":"pith_short_16","alias_value":"WZYHQLXDNQFYR6CA","created_at":"2026-06-25T00:17:47Z"},{"alias_kind":"pith_short_8","alias_value":"WZYHQLXD","created_at":"2026-06-25T00:17:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WZYHQLXDNQFYR6CAC6XVKMH52P","target":"record","payload":{"canonical_record":{"source":{"id":"2606.24986","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-23T14:24:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5ddb3e9cbc0f156a6de157079a4320398b223eeea8657896b53d76c03e305b1f","abstract_canon_sha256":"434bd590c165ca1dc358ab6508cc0eb42f8f96edea764f4301ec89fbf274ea1d"},"schema_version":"1.0"},"canonical_sha256":"b670782ee36c0b88f84017af5530fdd3c02a83ca109e795fcc473a62a3f76b47","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-25T00:17:47.602778Z","signature_b64":"Ja3otI5k0ptXPXaUwk31HMzTEv6FMXSb6k99gIp+8qVg2G7l6nENOvgAU7tUiuV1XPthfZl6HxnfZ+ELXvjACQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b670782ee36c0b88f84017af5530fdd3c02a83ca109e795fcc473a62a3f76b47","last_reissued_at":"2026-06-25T00:17:47.602394Z","signature_status":"signed_v1","first_computed_at":"2026-06-25T00:17:47.602394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.24986","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":"2026-06-25T00:17:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1HcoXtkqpFdVZfoYEWE+P87sAfrvBNYYNAPaDBaJY4PB2G2I33z+RmolMbDY9SBwbsqL3x0e78Esli5c5G30Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T23:11:18.617472Z"},"content_sha256":"d88955a6b20e1e2e9dea6f609e9c58b70603a86bf46d7454448024fbf2685bbc","schema_version":"1.0","event_id":"sha256:d88955a6b20e1e2e9dea6f609e9c58b70603a86bf46d7454448024fbf2685bbc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WZYHQLXDNQFYR6CAC6XVKMH52P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"When Multi-Sensor Fusion Fails to Generalize: Cattle Posture Classification Under Animal-Level and Temporal Distribution Shift","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Gundula Hoffmann, Leutrim Uka, Marina M.-C. H\\\"ohne, Severino Pinto","submitted_at":"2026-06-23T14:24:49Z","abstract_excerpt":"Automated cattle posture-classification systems frequently report near-perfect accuracy, yet their robustness under realistic deployment conditions remains largely unknown. In particular, it is unclear whether multimodal sensor fusion improves generalisation or leads models to rely on context-specific signals that fail under distribution shift. Here, we evaluate the robustness of automated posture classification (lying versus standing) using collar accelerometers, rumen-bolus sensors, and environmental measurements collected from a pasture-based beef cattle herd across two consecutive years (2"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.24986","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/2606.24986/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":"2026-06-25T00:17:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mWjUzewoa6ysOK/vOF0dZfXNeN8UU47mE2ou+ph/D2TWAbGz43cvAXEUh3dl5PMZ0rGabkFn9ABWqZbGaYOhAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T23:11:18.617843Z"},"content_sha256":"79d38cac04e1f5cb40363b64629a2c8680e9f8febb777eb8be5c4bff2c6ad93a","schema_version":"1.0","event_id":"sha256:79d38cac04e1f5cb40363b64629a2c8680e9f8febb777eb8be5c4bff2c6ad93a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WZYHQLXDNQFYR6CAC6XVKMH52P/bundle.json","state_url":"https://pith.science/pith/WZYHQLXDNQFYR6CAC6XVKMH52P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WZYHQLXDNQFYR6CAC6XVKMH52P/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":"2026-06-29T23:11:18Z","links":{"resolver":"https://pith.science/pith/WZYHQLXDNQFYR6CAC6XVKMH52P","bundle":"https://pith.science/pith/WZYHQLXDNQFYR6CAC6XVKMH52P/bundle.json","state":"https://pith.science/pith/WZYHQLXDNQFYR6CAC6XVKMH52P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WZYHQLXDNQFYR6CAC6XVKMH52P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WZYHQLXDNQFYR6CAC6XVKMH52P","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":"434bd590c165ca1dc358ab6508cc0eb42f8f96edea764f4301ec89fbf274ea1d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-23T14:24:49Z","title_canon_sha256":"5ddb3e9cbc0f156a6de157079a4320398b223eeea8657896b53d76c03e305b1f"},"schema_version":"1.0","source":{"id":"2606.24986","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.24986","created_at":"2026-06-25T00:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"2606.24986v1","created_at":"2026-06-25T00:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.24986","created_at":"2026-06-25T00:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"WZYHQLXDNQFY","created_at":"2026-06-25T00:17:47Z"},{"alias_kind":"pith_short_16","alias_value":"WZYHQLXDNQFYR6CA","created_at":"2026-06-25T00:17:47Z"},{"alias_kind":"pith_short_8","alias_value":"WZYHQLXD","created_at":"2026-06-25T00:17:47Z"}],"graph_snapshots":[{"event_id":"sha256:79d38cac04e1f5cb40363b64629a2c8680e9f8febb777eb8be5c4bff2c6ad93a","target":"graph","created_at":"2026-06-25T00:17:47Z","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/2606.24986/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated cattle posture-classification systems frequently report near-perfect accuracy, yet their robustness under realistic deployment conditions remains largely unknown. In particular, it is unclear whether multimodal sensor fusion improves generalisation or leads models to rely on context-specific signals that fail under distribution shift. Here, we evaluate the robustness of automated posture classification (lying versus standing) using collar accelerometers, rumen-bolus sensors, and environmental measurements collected from a pasture-based beef cattle herd across two consecutive years (2","authors_text":"Gundula Hoffmann, Leutrim Uka, Marina M.-C. H\\\"ohne, Severino Pinto","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-23T14:24:49Z","title":"When Multi-Sensor Fusion Fails to Generalize: Cattle Posture Classification Under Animal-Level and Temporal Distribution Shift"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.24986","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:d88955a6b20e1e2e9dea6f609e9c58b70603a86bf46d7454448024fbf2685bbc","target":"record","created_at":"2026-06-25T00:17:47Z","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":"434bd590c165ca1dc358ab6508cc0eb42f8f96edea764f4301ec89fbf274ea1d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-23T14:24:49Z","title_canon_sha256":"5ddb3e9cbc0f156a6de157079a4320398b223eeea8657896b53d76c03e305b1f"},"schema_version":"1.0","source":{"id":"2606.24986","kind":"arxiv","version":1}},"canonical_sha256":"b670782ee36c0b88f84017af5530fdd3c02a83ca109e795fcc473a62a3f76b47","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b670782ee36c0b88f84017af5530fdd3c02a83ca109e795fcc473a62a3f76b47","first_computed_at":"2026-06-25T00:17:47.602394Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-25T00:17:47.602394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ja3otI5k0ptXPXaUwk31HMzTEv6FMXSb6k99gIp+8qVg2G7l6nENOvgAU7tUiuV1XPthfZl6HxnfZ+ELXvjACQ==","signature_status":"signed_v1","signed_at":"2026-06-25T00:17:47.602778Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.24986","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d88955a6b20e1e2e9dea6f609e9c58b70603a86bf46d7454448024fbf2685bbc","sha256:79d38cac04e1f5cb40363b64629a2c8680e9f8febb777eb8be5c4bff2c6ad93a"],"state_sha256":"4e64d8bb05b2715fd4a7926c133ca02b80351625ae51c2ce7b94e9a7546520d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"65hAHV7Jr8SLUJsWApx0vd1Yo913feWfG+Z5v18iLIQF+GHPViKXncBUVAraa6Uy7snbmhjP/ukiIo2coSPQCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T23:11:18.619899Z","bundle_sha256":"ea1006c6f986763bf69629b3396161841231f398dc8779beb21e47291174c0c7"}}