{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6HSQGCAPW7TQCGASBTVJ3RZFPX","short_pith_number":"pith:6HSQGCAP","canonical_record":{"source":{"id":"2406.02591","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-31T19:16:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9af20920de2b05bf21e5749c3fd3db7efa5043780f51b355c958fb98d5cbe0ee","abstract_canon_sha256":"682caa9263ff00455dd73cc9f9c57c55c2c97ceea2ec98d0ed5424e3fe33acb0"},"schema_version":"1.0"},"canonical_sha256":"f1e503080fb7e70118120cea9dc7257de89258ebeb88d25688c733f63e56bbc5","source":{"kind":"arxiv","id":"2406.02591","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.02591","created_at":"2026-07-05T08:50:29Z"},{"alias_kind":"arxiv_version","alias_value":"2406.02591v1","created_at":"2026-07-05T08:50:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02591","created_at":"2026-07-05T08:50:29Z"},{"alias_kind":"pith_short_12","alias_value":"6HSQGCAPW7TQ","created_at":"2026-07-05T08:50:29Z"},{"alias_kind":"pith_short_16","alias_value":"6HSQGCAPW7TQCGAS","created_at":"2026-07-05T08:50:29Z"},{"alias_kind":"pith_short_8","alias_value":"6HSQGCAP","created_at":"2026-07-05T08:50:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6HSQGCAPW7TQCGASBTVJ3RZFPX","target":"record","payload":{"canonical_record":{"source":{"id":"2406.02591","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-31T19:16:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9af20920de2b05bf21e5749c3fd3db7efa5043780f51b355c958fb98d5cbe0ee","abstract_canon_sha256":"682caa9263ff00455dd73cc9f9c57c55c2c97ceea2ec98d0ed5424e3fe33acb0"},"schema_version":"1.0"},"canonical_sha256":"f1e503080fb7e70118120cea9dc7257de89258ebeb88d25688c733f63e56bbc5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:50:29.942033Z","signature_b64":"Hi3spNPvoWZQsd+lNz8U2kR15mg9lxg9de10YwVBkn+iAS4zLctJC6G+mYbXwE8Z09Pq6vGaBEwA6XH/XWIQDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1e503080fb7e70118120cea9dc7257de89258ebeb88d25688c733f63e56bbc5","last_reissued_at":"2026-07-05T08:50:29.941530Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:50:29.941530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.02591","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":"2026-07-05T08:50:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CFlxQy5cbMJRQl33t5vVHyd6+ElJZ9wm1QJLN6gfZqdQq+dXTnI/NmUhMLy7XDQgKbbMLJgs1yOpxxzp8F75Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T19:53:06.416221Z"},"content_sha256":"57c3c0b83563c7e4e4811da9661de00827fc4f1cb96be8b365b789016e4cd7fb","schema_version":"1.0","event_id":"sha256:57c3c0b83563c7e4e4811da9661de00827fc4f1cb96be8b365b789016e4cd7fb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6HSQGCAPW7TQCGASBTVJ3RZFPX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unveiling the Potential of AI for Nanomaterial Morphology Prediction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Aleksei Dmitrenko, Andrei Dmitrenko, Ivan Dubrovsky, Nikita Serov, Vladimir Vinogradov","submitted_at":"2024-05-31T19:16:07Z","abstract_excerpt":"Creation of nanomaterials with specific morphology remains a complex experimental process, even though there is a growing demand for these materials in various industry sectors. This study explores the potential of AI to predict the morphology of nanoparticles within the data availability constraints. For that, we first generated a new multi-modal dataset that is double the size of analogous studies. Then, we systematically evaluated performance of classical machine learning and large language models in prediction of nanomaterial shapes and sizes. Finally, we prototyped a text-to-image system,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02591","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/2406.02591/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":"2026-07-05T08:50:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CDevn2fvaj4FUMUelTyXyc+yzZC5WvYprZ0QaaMVxCQSGCvJr76BO2lfN4LEb8Rfv3Lh0BT5OlKq9hBO0GqrAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T19:53:06.416886Z"},"content_sha256":"1f6047f6f6c471a22fc4b6896824e928f65379b071403be6e43d3d6ab1bdab6d","schema_version":"1.0","event_id":"sha256:1f6047f6f6c471a22fc4b6896824e928f65379b071403be6e43d3d6ab1bdab6d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6HSQGCAPW7TQCGASBTVJ3RZFPX/bundle.json","state_url":"https://pith.science/pith/6HSQGCAPW7TQCGASBTVJ3RZFPX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6HSQGCAPW7TQCGASBTVJ3RZFPX/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":"2026-07-12T19:53:06Z","links":{"resolver":"https://pith.science/pith/6HSQGCAPW7TQCGASBTVJ3RZFPX","bundle":"https://pith.science/pith/6HSQGCAPW7TQCGASBTVJ3RZFPX/bundle.json","state":"https://pith.science/pith/6HSQGCAPW7TQCGASBTVJ3RZFPX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6HSQGCAPW7TQCGASBTVJ3RZFPX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6HSQGCAPW7TQCGASBTVJ3RZFPX","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":"682caa9263ff00455dd73cc9f9c57c55c2c97ceea2ec98d0ed5424e3fe33acb0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-31T19:16:07Z","title_canon_sha256":"9af20920de2b05bf21e5749c3fd3db7efa5043780f51b355c958fb98d5cbe0ee"},"schema_version":"1.0","source":{"id":"2406.02591","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.02591","created_at":"2026-07-05T08:50:29Z"},{"alias_kind":"arxiv_version","alias_value":"2406.02591v1","created_at":"2026-07-05T08:50:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02591","created_at":"2026-07-05T08:50:29Z"},{"alias_kind":"pith_short_12","alias_value":"6HSQGCAPW7TQ","created_at":"2026-07-05T08:50:29Z"},{"alias_kind":"pith_short_16","alias_value":"6HSQGCAPW7TQCGAS","created_at":"2026-07-05T08:50:29Z"},{"alias_kind":"pith_short_8","alias_value":"6HSQGCAP","created_at":"2026-07-05T08:50:29Z"}],"graph_snapshots":[{"event_id":"sha256:1f6047f6f6c471a22fc4b6896824e928f65379b071403be6e43d3d6ab1bdab6d","target":"graph","created_at":"2026-07-05T08:50:29Z","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/2406.02591/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Creation of nanomaterials with specific morphology remains a complex experimental process, even though there is a growing demand for these materials in various industry sectors. This study explores the potential of AI to predict the morphology of nanoparticles within the data availability constraints. For that, we first generated a new multi-modal dataset that is double the size of analogous studies. Then, we systematically evaluated performance of classical machine learning and large language models in prediction of nanomaterial shapes and sizes. Finally, we prototyped a text-to-image system,","authors_text":"Aleksei Dmitrenko, Andrei Dmitrenko, Ivan Dubrovsky, Nikita Serov, Vladimir Vinogradov","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-31T19:16:07Z","title":"Unveiling the Potential of AI for Nanomaterial Morphology Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02591","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":"sha256:57c3c0b83563c7e4e4811da9661de00827fc4f1cb96be8b365b789016e4cd7fb","target":"record","created_at":"2026-07-05T08:50:29Z","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":"682caa9263ff00455dd73cc9f9c57c55c2c97ceea2ec98d0ed5424e3fe33acb0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-31T19:16:07Z","title_canon_sha256":"9af20920de2b05bf21e5749c3fd3db7efa5043780f51b355c958fb98d5cbe0ee"},"schema_version":"1.0","source":{"id":"2406.02591","kind":"arxiv","version":1}},"canonical_sha256":"f1e503080fb7e70118120cea9dc7257de89258ebeb88d25688c733f63e56bbc5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1e503080fb7e70118120cea9dc7257de89258ebeb88d25688c733f63e56bbc5","first_computed_at":"2026-07-05T08:50:29.941530Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:50:29.941530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Hi3spNPvoWZQsd+lNz8U2kR15mg9lxg9de10YwVBkn+iAS4zLctJC6G+mYbXwE8Z09Pq6vGaBEwA6XH/XWIQDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:50:29.942033Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.02591","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:57c3c0b83563c7e4e4811da9661de00827fc4f1cb96be8b365b789016e4cd7fb","sha256:1f6047f6f6c471a22fc4b6896824e928f65379b071403be6e43d3d6ab1bdab6d"],"state_sha256":"14a1eca2e4cbe597a843374da4f698a15e8e3a85be0ce213ebba7bf33aac1021"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1caINInVH1WwAZ+jkdzaN7asClQrATSeUeGB88iinwxuJoZLbmfwBQuQof8gsiiqWUzwOsivGrS99tmunOyQDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T19:53:06.420584Z","bundle_sha256":"e0115cdfd17bd17f4a6251d2d929384bc41259a39c94fc02c807de24dfb8a053"}}