{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:GMTOEGXKJXFSS6NMBABHUG5AGX","short_pith_number":"pith:GMTOEGXK","canonical_record":{"source":{"id":"2301.06396","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2023-01-16T12:32:23Z","cross_cats_sorted":["nucl-ex"],"title_canon_sha256":"aa6a26e85f8c364409357223c88fca2ce24055e38ccc2e347f64335eb27fd94f","abstract_canon_sha256":"eaf130cb75701dcfa6b610d9598ad58867b1dcafa5058d6600c565a335a8ec3c"},"schema_version":"1.0"},"canonical_sha256":"3326e21aea4dcb2979ac08027a1ba035d02643d41b6c3014ef1d9c9df7b809d3","source":{"kind":"arxiv","id":"2301.06396","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.06396","created_at":"2026-07-05T05:33:31Z"},{"alias_kind":"arxiv_version","alias_value":"2301.06396v1","created_at":"2026-07-05T05:33:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.06396","created_at":"2026-07-05T05:33:31Z"},{"alias_kind":"pith_short_12","alias_value":"GMTOEGXKJXFS","created_at":"2026-07-05T05:33:31Z"},{"alias_kind":"pith_short_16","alias_value":"GMTOEGXKJXFSS6NM","created_at":"2026-07-05T05:33:31Z"},{"alias_kind":"pith_short_8","alias_value":"GMTOEGXK","created_at":"2026-07-05T05:33:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:GMTOEGXKJXFSS6NMBABHUG5AGX","target":"record","payload":{"canonical_record":{"source":{"id":"2301.06396","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2023-01-16T12:32:23Z","cross_cats_sorted":["nucl-ex"],"title_canon_sha256":"aa6a26e85f8c364409357223c88fca2ce24055e38ccc2e347f64335eb27fd94f","abstract_canon_sha256":"eaf130cb75701dcfa6b610d9598ad58867b1dcafa5058d6600c565a335a8ec3c"},"schema_version":"1.0"},"canonical_sha256":"3326e21aea4dcb2979ac08027a1ba035d02643d41b6c3014ef1d9c9df7b809d3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:33:31.124105Z","signature_b64":"EUFQTFiJHHXOUTVg80fA8s/TVj3rg0KbPFE8thvqwTHva1kejAgsLCzeqTEhrctMN6PjBjwhwJXBYSVYZQSJAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3326e21aea4dcb2979ac08027a1ba035d02643d41b6c3014ef1d9c9df7b809d3","last_reissued_at":"2026-07-05T05:33:31.123655Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:33:31.123655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.06396","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":"2026-07-05T05:33:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4HjG3uUeuQ3PJ5FWemLOQ/fEX5I2Ilmh6TEfs0i1mP+9l5gDGF2pnpc/qqU4tkMI8ecMkiJ9UbMhaCN4QFZIBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T13:51:19.981018Z"},"content_sha256":"9b8a0080ec684c9c77bf87311cb266747e2e3f77aa7363661732602d213a4f58","schema_version":"1.0","event_id":"sha256:9b8a0080ec684c9c77bf87311cb266747e2e3f77aa7363661732602d213a4f58"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:GMTOEGXKJXFSS6NMBABHUG5AGX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine learning in nuclear physics at low and intermediate energies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nucl-ex"],"primary_cat":"nucl-th","authors_text":"Junchen Pei, Qingfeng Li, Wanbing He, Yingxun Zhang, Yugang Ma, Zhongming Niu","submitted_at":"2023-01-16T12:32:23Z","abstract_excerpt":"Machine learning is becoming a new paradigm for scientific research in various research fields due to its exciting and powerful capability of modeling tools used for big-data processing task. In this mini-review, we first briefly introduce different methodologies of the machine learning algorithms and techniques. As a snapshot of many applications by machine learning, some selected applications are presented especially for low and intermediate energy nuclear physics, which include topics on theoretical applications in nuclear structure, nuclear reactions, properties of nuclear matter as well a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.06396","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/2301.06396/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":"2026-07-05T05:33:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KsrVFJ8K6yjT1nu04g0dkq2ZnKIUF67bV81xJWtfOGjJISUR3FsHEbtls4FJ2HrPR6IZLk9/y8PQft6jMMe4Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T13:51:19.981945Z"},"content_sha256":"d6fd91063e9dff6d95bf88138f295ab027b1bf5275e93b69d0d27305f01a6d01","schema_version":"1.0","event_id":"sha256:d6fd91063e9dff6d95bf88138f295ab027b1bf5275e93b69d0d27305f01a6d01"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GMTOEGXKJXFSS6NMBABHUG5AGX/bundle.json","state_url":"https://pith.science/pith/GMTOEGXKJXFSS6NMBABHUG5AGX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GMTOEGXKJXFSS6NMBABHUG5AGX/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":"2026-08-03T13:51:19Z","links":{"resolver":"https://pith.science/pith/GMTOEGXKJXFSS6NMBABHUG5AGX","bundle":"https://pith.science/pith/GMTOEGXKJXFSS6NMBABHUG5AGX/bundle.json","state":"https://pith.science/pith/GMTOEGXKJXFSS6NMBABHUG5AGX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GMTOEGXKJXFSS6NMBABHUG5AGX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GMTOEGXKJXFSS6NMBABHUG5AGX","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":"eaf130cb75701dcfa6b610d9598ad58867b1dcafa5058d6600c565a335a8ec3c","cross_cats_sorted":["nucl-ex"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2023-01-16T12:32:23Z","title_canon_sha256":"aa6a26e85f8c364409357223c88fca2ce24055e38ccc2e347f64335eb27fd94f"},"schema_version":"1.0","source":{"id":"2301.06396","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.06396","created_at":"2026-07-05T05:33:31Z"},{"alias_kind":"arxiv_version","alias_value":"2301.06396v1","created_at":"2026-07-05T05:33:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.06396","created_at":"2026-07-05T05:33:31Z"},{"alias_kind":"pith_short_12","alias_value":"GMTOEGXKJXFS","created_at":"2026-07-05T05:33:31Z"},{"alias_kind":"pith_short_16","alias_value":"GMTOEGXKJXFSS6NM","created_at":"2026-07-05T05:33:31Z"},{"alias_kind":"pith_short_8","alias_value":"GMTOEGXK","created_at":"2026-07-05T05:33:31Z"}],"graph_snapshots":[{"event_id":"sha256:d6fd91063e9dff6d95bf88138f295ab027b1bf5275e93b69d0d27305f01a6d01","target":"graph","created_at":"2026-07-05T05:33:31Z","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/2301.06396/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning is becoming a new paradigm for scientific research in various research fields due to its exciting and powerful capability of modeling tools used for big-data processing task. In this mini-review, we first briefly introduce different methodologies of the machine learning algorithms and techniques. As a snapshot of many applications by machine learning, some selected applications are presented especially for low and intermediate energy nuclear physics, which include topics on theoretical applications in nuclear structure, nuclear reactions, properties of nuclear matter as well a","authors_text":"Junchen Pei, Qingfeng Li, Wanbing He, Yingxun Zhang, Yugang Ma, Zhongming Niu","cross_cats":["nucl-ex"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2023-01-16T12:32:23Z","title":"Machine learning in nuclear physics at low and intermediate energies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.06396","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":"sha256:9b8a0080ec684c9c77bf87311cb266747e2e3f77aa7363661732602d213a4f58","target":"record","created_at":"2026-07-05T05:33:31Z","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":"eaf130cb75701dcfa6b610d9598ad58867b1dcafa5058d6600c565a335a8ec3c","cross_cats_sorted":["nucl-ex"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2023-01-16T12:32:23Z","title_canon_sha256":"aa6a26e85f8c364409357223c88fca2ce24055e38ccc2e347f64335eb27fd94f"},"schema_version":"1.0","source":{"id":"2301.06396","kind":"arxiv","version":1}},"canonical_sha256":"3326e21aea4dcb2979ac08027a1ba035d02643d41b6c3014ef1d9c9df7b809d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3326e21aea4dcb2979ac08027a1ba035d02643d41b6c3014ef1d9c9df7b809d3","first_computed_at":"2026-07-05T05:33:31.123655Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:33:31.123655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EUFQTFiJHHXOUTVg80fA8s/TVj3rg0KbPFE8thvqwTHva1kejAgsLCzeqTEhrctMN6PjBjwhwJXBYSVYZQSJAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:33:31.124105Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.06396","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9b8a0080ec684c9c77bf87311cb266747e2e3f77aa7363661732602d213a4f58","sha256:d6fd91063e9dff6d95bf88138f295ab027b1bf5275e93b69d0d27305f01a6d01"],"state_sha256":"608b5bc2cc4d8fe2387d422843813105b1dd96005dc2c9127e49c00d5806c140"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BoeRmRqw95jv3AHenk/9DJTUEFItcXEx5kzpCp7ydYsMT4iWIjkCvjppB9PZfTjGuCfoqdNTUQpxDg0HSTBjCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T13:51:19.988420Z","bundle_sha256":"1104d2ad8af0d502348032c5b979cbd392dd2fac6b37bc9ae7130c4267e48c02"}}