{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:6EEK76M2T53QAFQQ3DVIKYJQNK","short_pith_number":"pith:6EEK76M2","canonical_record":{"source":{"id":"2310.07671","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2023-10-11T17:18:30Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"e1f493ccde66c44047d93012a5027cb6c9a5acc333ddf85c0358302afb99df5b","abstract_canon_sha256":"0aae34484dfe7dfe54369ac5849648c5316ea708065e33bac5cb1d3105293ef5"},"schema_version":"1.0"},"canonical_sha256":"f108aff99a9f77001610d8ea8561306ab3f22986e37f7d65d9c6446125134d40","source":{"kind":"arxiv","id":"2310.07671","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.07671","created_at":"2026-07-05T09:08:45Z"},{"alias_kind":"arxiv_version","alias_value":"2310.07671v2","created_at":"2026-07-05T09:08:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.07671","created_at":"2026-07-05T09:08:45Z"},{"alias_kind":"pith_short_12","alias_value":"6EEK76M2T53Q","created_at":"2026-07-05T09:08:45Z"},{"alias_kind":"pith_short_16","alias_value":"6EEK76M2T53QAFQQ","created_at":"2026-07-05T09:08:45Z"},{"alias_kind":"pith_short_8","alias_value":"6EEK76M2","created_at":"2026-07-05T09:08:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:6EEK76M2T53QAFQQ3DVIKYJQNK","target":"record","payload":{"canonical_record":{"source":{"id":"2310.07671","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2023-10-11T17:18:30Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"e1f493ccde66c44047d93012a5027cb6c9a5acc333ddf85c0358302afb99df5b","abstract_canon_sha256":"0aae34484dfe7dfe54369ac5849648c5316ea708065e33bac5cb1d3105293ef5"},"schema_version":"1.0"},"canonical_sha256":"f108aff99a9f77001610d8ea8561306ab3f22986e37f7d65d9c6446125134d40","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:08:45.711237Z","signature_b64":"fsgWsr3XlOGjhO9iRSbOC/3vtwRCii5fxMqp07rsD3dumqX1ToRyt18KU5QTjIEHrByQjD6J/Mr5+6Kdg1e/Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f108aff99a9f77001610d8ea8561306ab3f22986e37f7d65d9c6446125134d40","last_reissued_at":"2026-07-05T09:08:45.710351Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:08:45.710351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.07671","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:08:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wIs33S76xw5jTgk6F/Ci5qx2yz9VnjYR3xE/kh907Z73QDJ/LWoLL5glepZWMlAw0I9M1gcXNLfnBpfIeBHoAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T12:03:52.454621Z"},"content_sha256":"a4756d4a4d7ef4f3d7047241b004971100778941f2bfa2fb2ea02c97917b1fc5","schema_version":"1.0","event_id":"sha256:a4756d4a4d7ef4f3d7047241b004971100778941f2bfa2fb2ea02c97917b1fc5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:6EEK76M2T53QAFQQ3DVIKYJQNK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci"],"primary_cat":"cs.CE","authors_text":"Carine Ribeiro dos Santos, Flaviu Cipcigan, Jonathan Booth, Mathias Steiner, Rodrigo Neumann Barros Ferreira","submitted_at":"2023-10-11T17:18:30Z","abstract_excerpt":"Artificial intelligence holds promise to improve materials discovery. GFlowNets are an emerging deep learning algorithm with many applications in AI-assisted discovery. By using GFlowNets, we generate porous reticular materials, such as metal organic frameworks and covalent organic frameworks, for applications in carbon dioxide capture. We introduce a new Python package (matgfn) to train and sample GFlowNets. We use matgfn to generate the matgfn-rm dataset of novel and diverse reticular materials with gravimetric surface area above 5000 m$^2$/g. We calculate single- and two-component gas adsor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.07671","kind":"arxiv","version":2},"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/2310.07671/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":"2026-07-05T09:08:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3VrsluTnJQp6xurJPu2Q2UUZ3hmledutAvcRLd/AwvLKujnmhV3DPmSWwxGghPZ9bXqAYe+d2BPoXq0OqifaCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T12:03:52.455012Z"},"content_sha256":"4a53ca5660cf2baa4f4a29560a71732aaba23c112c287bd52c0d369c09677df3","schema_version":"1.0","event_id":"sha256:4a53ca5660cf2baa4f4a29560a71732aaba23c112c287bd52c0d369c09677df3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6EEK76M2T53QAFQQ3DVIKYJQNK/bundle.json","state_url":"https://pith.science/pith/6EEK76M2T53QAFQQ3DVIKYJQNK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6EEK76M2T53QAFQQ3DVIKYJQNK/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":"2026-08-13T12:03:52Z","links":{"resolver":"https://pith.science/pith/6EEK76M2T53QAFQQ3DVIKYJQNK","bundle":"https://pith.science/pith/6EEK76M2T53QAFQQ3DVIKYJQNK/bundle.json","state":"https://pith.science/pith/6EEK76M2T53QAFQQ3DVIKYJQNK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6EEK76M2T53QAFQQ3DVIKYJQNK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6EEK76M2T53QAFQQ3DVIKYJQNK","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":"0aae34484dfe7dfe54369ac5849648c5316ea708065e33bac5cb1d3105293ef5","cross_cats_sorted":["cond-mat.mtrl-sci"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2023-10-11T17:18:30Z","title_canon_sha256":"e1f493ccde66c44047d93012a5027cb6c9a5acc333ddf85c0358302afb99df5b"},"schema_version":"1.0","source":{"id":"2310.07671","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.07671","created_at":"2026-07-05T09:08:45Z"},{"alias_kind":"arxiv_version","alias_value":"2310.07671v2","created_at":"2026-07-05T09:08:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.07671","created_at":"2026-07-05T09:08:45Z"},{"alias_kind":"pith_short_12","alias_value":"6EEK76M2T53Q","created_at":"2026-07-05T09:08:45Z"},{"alias_kind":"pith_short_16","alias_value":"6EEK76M2T53QAFQQ","created_at":"2026-07-05T09:08:45Z"},{"alias_kind":"pith_short_8","alias_value":"6EEK76M2","created_at":"2026-07-05T09:08:45Z"}],"graph_snapshots":[{"event_id":"sha256:4a53ca5660cf2baa4f4a29560a71732aaba23c112c287bd52c0d369c09677df3","target":"graph","created_at":"2026-07-05T09:08:45Z","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/2310.07671/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial intelligence holds promise to improve materials discovery. GFlowNets are an emerging deep learning algorithm with many applications in AI-assisted discovery. By using GFlowNets, we generate porous reticular materials, such as metal organic frameworks and covalent organic frameworks, for applications in carbon dioxide capture. We introduce a new Python package (matgfn) to train and sample GFlowNets. We use matgfn to generate the matgfn-rm dataset of novel and diverse reticular materials with gravimetric surface area above 5000 m$^2$/g. We calculate single- and two-component gas adsor","authors_text":"Carine Ribeiro dos Santos, Flaviu Cipcigan, Jonathan Booth, Mathias Steiner, Rodrigo Neumann Barros Ferreira","cross_cats":["cond-mat.mtrl-sci"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2023-10-11T17:18:30Z","title":"Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.07671","kind":"arxiv","version":2},"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:a4756d4a4d7ef4f3d7047241b004971100778941f2bfa2fb2ea02c97917b1fc5","target":"record","created_at":"2026-07-05T09:08:45Z","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":"0aae34484dfe7dfe54369ac5849648c5316ea708065e33bac5cb1d3105293ef5","cross_cats_sorted":["cond-mat.mtrl-sci"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2023-10-11T17:18:30Z","title_canon_sha256":"e1f493ccde66c44047d93012a5027cb6c9a5acc333ddf85c0358302afb99df5b"},"schema_version":"1.0","source":{"id":"2310.07671","kind":"arxiv","version":2}},"canonical_sha256":"f108aff99a9f77001610d8ea8561306ab3f22986e37f7d65d9c6446125134d40","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f108aff99a9f77001610d8ea8561306ab3f22986e37f7d65d9c6446125134d40","first_computed_at":"2026-07-05T09:08:45.710351Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:08:45.710351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fsgWsr3XlOGjhO9iRSbOC/3vtwRCii5fxMqp07rsD3dumqX1ToRyt18KU5QTjIEHrByQjD6J/Mr5+6Kdg1e/Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:08:45.711237Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.07671","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a4756d4a4d7ef4f3d7047241b004971100778941f2bfa2fb2ea02c97917b1fc5","sha256:4a53ca5660cf2baa4f4a29560a71732aaba23c112c287bd52c0d369c09677df3"],"state_sha256":"0aaef42ed120fe7012154e34697aa41c604680252950a3af2bc41a23ecf3739e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gx5IflkqTSiUUbDFky26oGJlzvOtMGCBlgQ1CXu+IcsWSleJNOW+yn+EcqWMpTzdfvX1RpgIMMz81/XuxA+cCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T12:03:52.457526Z","bundle_sha256":"f8aaf8e691bb28b02eb3e50de340aa48bfec730aed55ede404dd40324a272e60"}}