{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:N3M5IR3BOGLTRDDE7NBDZX4YPY","short_pith_number":"pith:N3M5IR3B","canonical_record":{"source":{"id":"2303.00636","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.soft","submitted_at":"2023-03-01T16:38:41Z","cross_cats_sorted":["cond-mat.dis-nn"],"title_canon_sha256":"1a42d5270df73cce915e6a5907b745841b417e5aead7d19bb42d8f69cd191751","abstract_canon_sha256":"11a3a23f9b0635d0b07c8d2c23760c16ebc83f190e51da8d107fc64331de0e01"},"schema_version":"1.0"},"canonical_sha256":"6ed9d447617197388c64fb423cdf987e15909a179f52f68e289c974e32ee6bf0","source":{"kind":"arxiv","id":"2303.00636","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.00636","created_at":"2026-07-05T07:48:28Z"},{"alias_kind":"arxiv_version","alias_value":"2303.00636v2","created_at":"2026-07-05T07:48:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.00636","created_at":"2026-07-05T07:48:28Z"},{"alias_kind":"pith_short_12","alias_value":"N3M5IR3BOGLT","created_at":"2026-07-05T07:48:28Z"},{"alias_kind":"pith_short_16","alias_value":"N3M5IR3BOGLTRDDE","created_at":"2026-07-05T07:48:28Z"},{"alias_kind":"pith_short_8","alias_value":"N3M5IR3B","created_at":"2026-07-05T07:48:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:N3M5IR3BOGLTRDDE7NBDZX4YPY","target":"record","payload":{"canonical_record":{"source":{"id":"2303.00636","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.soft","submitted_at":"2023-03-01T16:38:41Z","cross_cats_sorted":["cond-mat.dis-nn"],"title_canon_sha256":"1a42d5270df73cce915e6a5907b745841b417e5aead7d19bb42d8f69cd191751","abstract_canon_sha256":"11a3a23f9b0635d0b07c8d2c23760c16ebc83f190e51da8d107fc64331de0e01"},"schema_version":"1.0"},"canonical_sha256":"6ed9d447617197388c64fb423cdf987e15909a179f52f68e289c974e32ee6bf0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:48:28.973366Z","signature_b64":"g0XzibLrSj1Z3RVRXKZUdpj2VL0FqE+Z+P/2XxA9CO7Re9GCzuQEO/6X6yjRtqpqLcWVPqDgsW47yyXxr9cKAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ed9d447617197388c64fb423cdf987e15909a179f52f68e289c974e32ee6bf0","last_reissued_at":"2026-07-05T07:48:28.972878Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:48:28.972878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.00636","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":"2026-07-05T07:48:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f4bDN1+/2jNeRJGLGURgZXFThWKLHREgh3pYBTgz5jQpmuiznBJYjJNau4H3bQyqY/vwMaH+DZrZlOLAdXehDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-21T08:53:11.357868Z"},"content_sha256":"8db564ea20e60223a59659cee54f9b562bd1e5370857ac75aeb8efcd7fb593a4","schema_version":"1.0","event_id":"sha256:8db564ea20e60223a59659cee54f9b562bd1e5370857ac75aeb8efcd7fb593a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:N3M5IR3BOGLTRDDE7NBDZX4YPY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Classifying the age of a glass based on structural properties: A machine learning approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.dis-nn"],"primary_cat":"cond-mat.soft","authors_text":"Casper Smit, Chengjie Luo, Cornelis Storm, Giulia Janzen, Liesbeth M. C. Janssen, Samantha Visbeek, Simone Ciarella, Vincent E. Debets","submitted_at":"2023-03-01T16:38:41Z","abstract_excerpt":"It is well established that physical aging of amorphous solids is governed by a marked change in dynamical properties as the material becomes older. Conversely, structural properties such as the radial distribution function exhibit only a very weak age dependence, usually deemed negligible with respect to the numerical noise. Here we demonstrate that the extremely weak age-dependent changes in structure are in fact sufficient to reliably assess the age of a glass with the support of machine learning. We employ a supervised learning method to predict the age of a glass based on the system's ins"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.00636","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/2303.00636/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":"2026-07-05T07:48:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B2iv6ZaDddOLB7T8r38iE6XH8IhAostgFh9lMovv5voVo/4SUCd4Bk5PwiBBmp3fVlN5g5sf+kLVyKH3LZyCDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-21T08:53:11.358227Z"},"content_sha256":"9c686b89d1b43f3009304e9a19f6225f0e6e3069c37d64d788981854a9c3eb0a","schema_version":"1.0","event_id":"sha256:9c686b89d1b43f3009304e9a19f6225f0e6e3069c37d64d788981854a9c3eb0a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N3M5IR3BOGLTRDDE7NBDZX4YPY/bundle.json","state_url":"https://pith.science/pith/N3M5IR3BOGLTRDDE7NBDZX4YPY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N3M5IR3BOGLTRDDE7NBDZX4YPY/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":"2026-07-21T08:53:11Z","links":{"resolver":"https://pith.science/pith/N3M5IR3BOGLTRDDE7NBDZX4YPY","bundle":"https://pith.science/pith/N3M5IR3BOGLTRDDE7NBDZX4YPY/bundle.json","state":"https://pith.science/pith/N3M5IR3BOGLTRDDE7NBDZX4YPY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N3M5IR3BOGLTRDDE7NBDZX4YPY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:N3M5IR3BOGLTRDDE7NBDZX4YPY","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":"11a3a23f9b0635d0b07c8d2c23760c16ebc83f190e51da8d107fc64331de0e01","cross_cats_sorted":["cond-mat.dis-nn"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.soft","submitted_at":"2023-03-01T16:38:41Z","title_canon_sha256":"1a42d5270df73cce915e6a5907b745841b417e5aead7d19bb42d8f69cd191751"},"schema_version":"1.0","source":{"id":"2303.00636","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.00636","created_at":"2026-07-05T07:48:28Z"},{"alias_kind":"arxiv_version","alias_value":"2303.00636v2","created_at":"2026-07-05T07:48:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.00636","created_at":"2026-07-05T07:48:28Z"},{"alias_kind":"pith_short_12","alias_value":"N3M5IR3BOGLT","created_at":"2026-07-05T07:48:28Z"},{"alias_kind":"pith_short_16","alias_value":"N3M5IR3BOGLTRDDE","created_at":"2026-07-05T07:48:28Z"},{"alias_kind":"pith_short_8","alias_value":"N3M5IR3B","created_at":"2026-07-05T07:48:28Z"}],"graph_snapshots":[{"event_id":"sha256:9c686b89d1b43f3009304e9a19f6225f0e6e3069c37d64d788981854a9c3eb0a","target":"graph","created_at":"2026-07-05T07:48:28Z","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/2303.00636/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"It is well established that physical aging of amorphous solids is governed by a marked change in dynamical properties as the material becomes older. Conversely, structural properties such as the radial distribution function exhibit only a very weak age dependence, usually deemed negligible with respect to the numerical noise. Here we demonstrate that the extremely weak age-dependent changes in structure are in fact sufficient to reliably assess the age of a glass with the support of machine learning. We employ a supervised learning method to predict the age of a glass based on the system's ins","authors_text":"Casper Smit, Chengjie Luo, Cornelis Storm, Giulia Janzen, Liesbeth M. C. Janssen, Samantha Visbeek, Simone Ciarella, Vincent E. Debets","cross_cats":["cond-mat.dis-nn"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.soft","submitted_at":"2023-03-01T16:38:41Z","title":"Classifying the age of a glass based on structural properties: A machine learning approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.00636","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":"sha256:8db564ea20e60223a59659cee54f9b562bd1e5370857ac75aeb8efcd7fb593a4","target":"record","created_at":"2026-07-05T07:48:28Z","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":"11a3a23f9b0635d0b07c8d2c23760c16ebc83f190e51da8d107fc64331de0e01","cross_cats_sorted":["cond-mat.dis-nn"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.soft","submitted_at":"2023-03-01T16:38:41Z","title_canon_sha256":"1a42d5270df73cce915e6a5907b745841b417e5aead7d19bb42d8f69cd191751"},"schema_version":"1.0","source":{"id":"2303.00636","kind":"arxiv","version":2}},"canonical_sha256":"6ed9d447617197388c64fb423cdf987e15909a179f52f68e289c974e32ee6bf0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ed9d447617197388c64fb423cdf987e15909a179f52f68e289c974e32ee6bf0","first_computed_at":"2026-07-05T07:48:28.972878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:48:28.972878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g0XzibLrSj1Z3RVRXKZUdpj2VL0FqE+Z+P/2XxA9CO7Re9GCzuQEO/6X6yjRtqpqLcWVPqDgsW47yyXxr9cKAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:48:28.973366Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.00636","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8db564ea20e60223a59659cee54f9b562bd1e5370857ac75aeb8efcd7fb593a4","sha256:9c686b89d1b43f3009304e9a19f6225f0e6e3069c37d64d788981854a9c3eb0a"],"state_sha256":"11befcbd97c3cda9d37b1e34d298512f26d90ec3b9e9a2bc9ffd077805bab477"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9ck6Jpg9ZukEPIYtZ5o9IAKxtnr6Dww4Tfet1IPz+eTuSpYcSHzNxkcELA4dE/LyWcB5+uW75LoXSWdXC13PBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-21T08:53:11.360216Z","bundle_sha256":"1cc12ecf2de53bb461de4f8281a936795dae89e96db868eebebc01628fd30bd4"}}