{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UVH34MNCQAJBXNRIGLYOMS6WON","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":"9356b204321f70dcaed99b35b5ce7792028e15266195cda2750a0125c4122831","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-16T11:35:27Z","title_canon_sha256":"e8fd8a8f99d665f89397d4e4b8dce7e21be02cbe4add01f9157764cc53164027"},"schema_version":"1.0","source":{"id":"2606.17809","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.17809","created_at":"2026-06-19T16:10:22Z"},{"alias_kind":"arxiv_version","alias_value":"2606.17809v1","created_at":"2026-06-19T16:10:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.17809","created_at":"2026-06-19T16:10:22Z"},{"alias_kind":"pith_short_12","alias_value":"UVH34MNCQAJB","created_at":"2026-06-19T16:10:22Z"},{"alias_kind":"pith_short_16","alias_value":"UVH34MNCQAJBXNRI","created_at":"2026-06-19T16:10:22Z"},{"alias_kind":"pith_short_8","alias_value":"UVH34MNC","created_at":"2026-06-19T16:10:22Z"}],"graph_snapshots":[{"event_id":"sha256:c1e1e2fb0da6bd3934e085fd90ff7213018f246e630cd12e66fcab479057cc7b","target":"graph","created_at":"2026-06-19T16:10:22Z","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/2606.17809/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated pollen identification from microscopy remains a bottleneck in aerobiology, palaeoecology and biodiversity monitoring, because scalable systems must generalise across specimen preparation, scanner settings and geographic origins while retaining palynological interpretability. To address this gap, we present a million-scale multimodal pollen microscopy resource, Pollen AI Atlas, assembled from pure-species whole-slide bright-field images spanning four geographic origins, four scanner settings and 46 taxon labels across 31 botanical families. Seeded by one manually selected exemplar per","authors_text":"Andr\\'as Biricz, Antonio Spanu, Bj\\\"orn Gedda, Don\\'at Magyar, Istv\\'an Csabai, J\\'anos Fillinger, P\\'eter Pollner","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-16T11:35:27Z","title":"Million-scale multimodal pollen microscopy with expert-guided foundation models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.17809","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:ba163aede587e87b88f507490ecd9f1583cc1fe758a2b4578ad96435630850d7","target":"record","created_at":"2026-06-19T16:10:22Z","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":"9356b204321f70dcaed99b35b5ce7792028e15266195cda2750a0125c4122831","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-16T11:35:27Z","title_canon_sha256":"e8fd8a8f99d665f89397d4e4b8dce7e21be02cbe4add01f9157764cc53164027"},"schema_version":"1.0","source":{"id":"2606.17809","kind":"arxiv","version":1}},"canonical_sha256":"a54fbe31a280121bb62832f0e64bd6736ea6238ea572e23072b700ca8a962d02","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a54fbe31a280121bb62832f0e64bd6736ea6238ea572e23072b700ca8a962d02","first_computed_at":"2026-06-19T16:10:22.389165Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:10:22.389165Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LIGWjchhOXhIhaQPamwNPeOdjd3Wk8lstmb9NNXuscl3RtXalXFEOhIV70IpBCxIkvfNPjxDDBdd05vRfpEVBw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:10:22.389590Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.17809","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba163aede587e87b88f507490ecd9f1583cc1fe758a2b4578ad96435630850d7","sha256:c1e1e2fb0da6bd3934e085fd90ff7213018f246e630cd12e66fcab479057cc7b"],"state_sha256":"94d5dcdd8b0337434e43652f53af897640330daf9dd4adc65647a6334b55f741"}