{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:KKSP7VC7PWO6ECJVXGMMAA2WVS","short_pith_number":"pith:KKSP7VC7","canonical_record":{"source":{"id":"2605.28065","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T07:19:18Z","cross_cats_sorted":[],"title_canon_sha256":"5e748d1a693f656e0b704e2524baf432d8562191f62cf3b1125c02025880ccbc","abstract_canon_sha256":"cad7d6a021a29f1fd0cb555ccf432322bae40dad775fc1bb842f6a79f4b3eebd"},"schema_version":"1.0"},"canonical_sha256":"52a4ffd45f7d9de20935b998c00356ac805f05d8918af71e6d52b372989aa383","source":{"kind":"arxiv","id":"2605.28065","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28065","created_at":"2026-05-28T01:04:57Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28065v1","created_at":"2026-05-28T01:04:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28065","created_at":"2026-05-28T01:04:57Z"},{"alias_kind":"pith_short_12","alias_value":"KKSP7VC7PWO6","created_at":"2026-05-28T01:04:57Z"},{"alias_kind":"pith_short_16","alias_value":"KKSP7VC7PWO6ECJV","created_at":"2026-05-28T01:04:57Z"},{"alias_kind":"pith_short_8","alias_value":"KKSP7VC7","created_at":"2026-05-28T01:04:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:KKSP7VC7PWO6ECJVXGMMAA2WVS","target":"record","payload":{"canonical_record":{"source":{"id":"2605.28065","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T07:19:18Z","cross_cats_sorted":[],"title_canon_sha256":"5e748d1a693f656e0b704e2524baf432d8562191f62cf3b1125c02025880ccbc","abstract_canon_sha256":"cad7d6a021a29f1fd0cb555ccf432322bae40dad775fc1bb842f6a79f4b3eebd"},"schema_version":"1.0"},"canonical_sha256":"52a4ffd45f7d9de20935b998c00356ac805f05d8918af71e6d52b372989aa383","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:04:57.500325Z","signature_b64":"Bm9nO003Gya4IVjZzrbN4JcT7tMg4FEY4ppyDuoWn60ZeosaEnbB6BxucnG7CcZkkeoWdjuMawYg619c2nCkDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"52a4ffd45f7d9de20935b998c00356ac805f05d8918af71e6d52b372989aa383","last_reissued_at":"2026-05-28T01:04:57.499893Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:04:57.499893Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.28065","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":"2026-05-28T01:04:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+wuY7T37Z6DUpqry6spnXQbcm6Bq1HOj5lyc+uGpixKwXLkuFCxMMMOL19+nRzmnvo0uY1fSERDrgpf1Vg11Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T11:42:14.959717Z"},"content_sha256":"9d9e42c96e30020ec4ad81b441f591aa70cbf8faa8d649de9256d3479e09eb2f","schema_version":"1.0","event_id":"sha256:9d9e42c96e30020ec4ad81b441f591aa70cbf8faa8d649de9256d3479e09eb2f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:KKSP7VC7PWO6ECJVXGMMAA2WVS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Verifiable Benchmarking of Long-Horizon Spatial Biology","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Harihara Muralidharan, Ian Diks, Kenny Workman, Tim Proctor","submitted_at":"2026-05-27T07:19:18Z","abstract_excerpt":"AI agents are increasingly useful for biological data analysis, but existing benchmarks mostly test broad biological knowledge, executable workflows, or localized analysis steps rather than end-to-end scientific reasoning over spatial measurements. We introduce SpatialBench-Long, a benchmark for long-horizon spatial biology in which agents must recover biological claims from raw or near-raw data and calibrated experimental context without prescribed methods. SpatialBench-Long contains 24 evaluations across primary pancreatic ductal adenocarcinoma (PDAC), engineered glioblastoma organoids and i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28065","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/2605.28065/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":"2026-05-28T01:04:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"poTWfSIxOZlzZsUHLJ/kncCMVY87tSI4C+pK2ja5K8xWeW9RrvNCPX1GULPFmMFh/4mBhMN9PWuJrVEGx6+1DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T11:42:14.960091Z"},"content_sha256":"186a9c1b480d023cffb5418cb97dbb7f96b46331f48479db8a7e41a2a8006426","schema_version":"1.0","event_id":"sha256:186a9c1b480d023cffb5418cb97dbb7f96b46331f48479db8a7e41a2a8006426"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KKSP7VC7PWO6ECJVXGMMAA2WVS/bundle.json","state_url":"https://pith.science/pith/KKSP7VC7PWO6ECJVXGMMAA2WVS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KKSP7VC7PWO6ECJVXGMMAA2WVS/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":"2026-06-27T11:42:14Z","links":{"resolver":"https://pith.science/pith/KKSP7VC7PWO6ECJVXGMMAA2WVS","bundle":"https://pith.science/pith/KKSP7VC7PWO6ECJVXGMMAA2WVS/bundle.json","state":"https://pith.science/pith/KKSP7VC7PWO6ECJVXGMMAA2WVS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KKSP7VC7PWO6ECJVXGMMAA2WVS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KKSP7VC7PWO6ECJVXGMMAA2WVS","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":"cad7d6a021a29f1fd0cb555ccf432322bae40dad775fc1bb842f6a79f4b3eebd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T07:19:18Z","title_canon_sha256":"5e748d1a693f656e0b704e2524baf432d8562191f62cf3b1125c02025880ccbc"},"schema_version":"1.0","source":{"id":"2605.28065","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28065","created_at":"2026-05-28T01:04:57Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28065v1","created_at":"2026-05-28T01:04:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28065","created_at":"2026-05-28T01:04:57Z"},{"alias_kind":"pith_short_12","alias_value":"KKSP7VC7PWO6","created_at":"2026-05-28T01:04:57Z"},{"alias_kind":"pith_short_16","alias_value":"KKSP7VC7PWO6ECJV","created_at":"2026-05-28T01:04:57Z"},{"alias_kind":"pith_short_8","alias_value":"KKSP7VC7","created_at":"2026-05-28T01:04:57Z"}],"graph_snapshots":[{"event_id":"sha256:186a9c1b480d023cffb5418cb97dbb7f96b46331f48479db8a7e41a2a8006426","target":"graph","created_at":"2026-05-28T01:04:57Z","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/2605.28065/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"AI agents are increasingly useful for biological data analysis, but existing benchmarks mostly test broad biological knowledge, executable workflows, or localized analysis steps rather than end-to-end scientific reasoning over spatial measurements. We introduce SpatialBench-Long, a benchmark for long-horizon spatial biology in which agents must recover biological claims from raw or near-raw data and calibrated experimental context without prescribed methods. SpatialBench-Long contains 24 evaluations across primary pancreatic ductal adenocarcinoma (PDAC), engineered glioblastoma organoids and i","authors_text":"Harihara Muralidharan, Ian Diks, Kenny Workman, Tim Proctor","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T07:19:18Z","title":"Verifiable Benchmarking of Long-Horizon Spatial Biology"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28065","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":"sha256:9d9e42c96e30020ec4ad81b441f591aa70cbf8faa8d649de9256d3479e09eb2f","target":"record","created_at":"2026-05-28T01:04:57Z","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":"cad7d6a021a29f1fd0cb555ccf432322bae40dad775fc1bb842f6a79f4b3eebd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T07:19:18Z","title_canon_sha256":"5e748d1a693f656e0b704e2524baf432d8562191f62cf3b1125c02025880ccbc"},"schema_version":"1.0","source":{"id":"2605.28065","kind":"arxiv","version":1}},"canonical_sha256":"52a4ffd45f7d9de20935b998c00356ac805f05d8918af71e6d52b372989aa383","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"52a4ffd45f7d9de20935b998c00356ac805f05d8918af71e6d52b372989aa383","first_computed_at":"2026-05-28T01:04:57.499893Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:04:57.499893Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Bm9nO003Gya4IVjZzrbN4JcT7tMg4FEY4ppyDuoWn60ZeosaEnbB6BxucnG7CcZkkeoWdjuMawYg619c2nCkDw==","signature_status":"signed_v1","signed_at":"2026-05-28T01:04:57.500325Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28065","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d9e42c96e30020ec4ad81b441f591aa70cbf8faa8d649de9256d3479e09eb2f","sha256:186a9c1b480d023cffb5418cb97dbb7f96b46331f48479db8a7e41a2a8006426"],"state_sha256":"9e0170967ebe33e936b90e4e0f29af358dc5cb25dace559e80aa15d439d7ef80"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kSnKZTcnpbt10pFESdL1kWw4F/JkLtHkfuzW2AZgqdlDFqNbBA0WVCol7w2mfl+10aYoEJ99izUp0PD8G4ZqCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T11:42:14.962342Z","bundle_sha256":"318e31bc42e66a3e8545ab92f341af727add1e38ec57033b22de39483d9d7404"}}