{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:GVU4L7TZQ5GWMQETVOEAE22IOE","short_pith_number":"pith:GVU4L7TZ","canonical_record":{"source":{"id":"1208.1264","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2012-08-06T20:00:04Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"feafe4304859bd52c7d073de91c6d0058f14fd518b5aeeb56fda99b61c20e9aa","abstract_canon_sha256":"cc8465bf038dbc1c1f28751c2094f5c371d64822549042fd9bead244cf935e7c"},"schema_version":"1.0"},"canonical_sha256":"3569c5fe79874d664093ab88026b48712dbaafd7e4491a58c846d260512f686f","source":{"kind":"arxiv","id":"1208.1264","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1208.1264","created_at":"2026-05-18T01:55:22Z"},{"alias_kind":"arxiv_version","alias_value":"1208.1264v3","created_at":"2026-05-18T01:55:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1208.1264","created_at":"2026-05-18T01:55:22Z"},{"alias_kind":"pith_short_12","alias_value":"GVU4L7TZQ5GW","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"GVU4L7TZQ5GWMQET","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"GVU4L7TZ","created_at":"2026-05-18T12:27:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:GVU4L7TZQ5GWMQETVOEAE22IOE","target":"record","payload":{"canonical_record":{"source":{"id":"1208.1264","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2012-08-06T20:00:04Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"feafe4304859bd52c7d073de91c6d0058f14fd518b5aeeb56fda99b61c20e9aa","abstract_canon_sha256":"cc8465bf038dbc1c1f28751c2094f5c371d64822549042fd9bead244cf935e7c"},"schema_version":"1.0"},"canonical_sha256":"3569c5fe79874d664093ab88026b48712dbaafd7e4491a58c846d260512f686f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:55:22.479416Z","signature_b64":"ShY8pCTfTYayjYgmTaF0drH3Qmn39OMwwzS+KOLieYPlp/89LNfy9vaVPp2gDh+A2q5FCiORf0Fs5c0OwFWfBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3569c5fe79874d664093ab88026b48712dbaafd7e4491a58c846d260512f686f","last_reissued_at":"2026-05-18T01:55:22.478691Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:55:22.478691Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1208.1264","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:55:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CvO/HZXYyW4ZX+tg8Zm0uuSg6SS99by8//gfEofAhhh6NTCb1ehdDfOX8GROCWHTvbEIAvqdL5XUyVaqLtf3Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T06:37:48.487375Z"},"content_sha256":"22b1987c171ad53128b0212da3ac33fa536d9995a67691001dd57e0a559b6c0e","schema_version":"1.0","event_id":"sha256:22b1987c171ad53128b0212da3ac33fa536d9995a67691001dd57e0a559b6c0e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:GVU4L7TZQ5GWMQETVOEAE22IOE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A simple and robust method for automated photometric classification of supernovae using neural networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"F. Feroz, M. P. Hobson, N. V. Karpenka","submitted_at":"2012-08-06T20:00:04Z","abstract_excerpt":"A method is presented for automated photometric classification of supernovae (SNe) as Type-Ia or non-Ia. A two-step approach is adopted in which: (i) the SN lightcurve flux measurements in each observing filter are fitted separately; and (ii) the fitted function parameters and their associated uncertainties, along with the number of flux measurements, the maximum-likelihood value of the fit and Bayesian evidence for the model, are used as the input feature vector to a classification neural network (NN) that outputs the probability that the SN under consideration is of Type-Ia. The method is tr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1208.1264","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T01:55:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uCGQ1lN+koaRIHc1pgCQCSpev8VIp4O+AmcQcimQUAg7nrxbEGQX7tCSGHtqfqA+F1GhA2h7pb0/sIjDQ2QhBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T06:37:48.488015Z"},"content_sha256":"126db9c867be4b91b36c41a52d9b283d9fd4889e4f6c0859b4b5d2a266c21b00","schema_version":"1.0","event_id":"sha256:126db9c867be4b91b36c41a52d9b283d9fd4889e4f6c0859b4b5d2a266c21b00"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GVU4L7TZQ5GWMQETVOEAE22IOE/bundle.json","state_url":"https://pith.science/pith/GVU4L7TZQ5GWMQETVOEAE22IOE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GVU4L7TZQ5GWMQETVOEAE22IOE/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":"2026-05-26T06:37:48Z","links":{"resolver":"https://pith.science/pith/GVU4L7TZQ5GWMQETVOEAE22IOE","bundle":"https://pith.science/pith/GVU4L7TZQ5GWMQETVOEAE22IOE/bundle.json","state":"https://pith.science/pith/GVU4L7TZQ5GWMQETVOEAE22IOE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GVU4L7TZQ5GWMQETVOEAE22IOE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:GVU4L7TZQ5GWMQETVOEAE22IOE","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":"cc8465bf038dbc1c1f28751c2094f5c371d64822549042fd9bead244cf935e7c","cross_cats_sorted":["astro-ph.IM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2012-08-06T20:00:04Z","title_canon_sha256":"feafe4304859bd52c7d073de91c6d0058f14fd518b5aeeb56fda99b61c20e9aa"},"schema_version":"1.0","source":{"id":"1208.1264","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1208.1264","created_at":"2026-05-18T01:55:22Z"},{"alias_kind":"arxiv_version","alias_value":"1208.1264v3","created_at":"2026-05-18T01:55:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1208.1264","created_at":"2026-05-18T01:55:22Z"},{"alias_kind":"pith_short_12","alias_value":"GVU4L7TZQ5GW","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"GVU4L7TZQ5GWMQET","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"GVU4L7TZ","created_at":"2026-05-18T12:27:06Z"}],"graph_snapshots":[{"event_id":"sha256:126db9c867be4b91b36c41a52d9b283d9fd4889e4f6c0859b4b5d2a266c21b00","target":"graph","created_at":"2026-05-18T01:55:22Z","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"},"paper":{"abstract_excerpt":"A method is presented for automated photometric classification of supernovae (SNe) as Type-Ia or non-Ia. A two-step approach is adopted in which: (i) the SN lightcurve flux measurements in each observing filter are fitted separately; and (ii) the fitted function parameters and their associated uncertainties, along with the number of flux measurements, the maximum-likelihood value of the fit and Bayesian evidence for the model, are used as the input feature vector to a classification neural network (NN) that outputs the probability that the SN under consideration is of Type-Ia. The method is tr","authors_text":"F. Feroz, M. P. Hobson, N. V. Karpenka","cross_cats":["astro-ph.IM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2012-08-06T20:00:04Z","title":"A simple and robust method for automated photometric classification of supernovae using neural networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1208.1264","kind":"arxiv","version":3},"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":"sha256:22b1987c171ad53128b0212da3ac33fa536d9995a67691001dd57e0a559b6c0e","target":"record","created_at":"2026-05-18T01:55:22Z","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":"cc8465bf038dbc1c1f28751c2094f5c371d64822549042fd9bead244cf935e7c","cross_cats_sorted":["astro-ph.IM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2012-08-06T20:00:04Z","title_canon_sha256":"feafe4304859bd52c7d073de91c6d0058f14fd518b5aeeb56fda99b61c20e9aa"},"schema_version":"1.0","source":{"id":"1208.1264","kind":"arxiv","version":3}},"canonical_sha256":"3569c5fe79874d664093ab88026b48712dbaafd7e4491a58c846d260512f686f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3569c5fe79874d664093ab88026b48712dbaafd7e4491a58c846d260512f686f","first_computed_at":"2026-05-18T01:55:22.478691Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:55:22.478691Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ShY8pCTfTYayjYgmTaF0drH3Qmn39OMwwzS+KOLieYPlp/89LNfy9vaVPp2gDh+A2q5FCiORf0Fs5c0OwFWfBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:55:22.479416Z","signed_message":"canonical_sha256_bytes"},"source_id":"1208.1264","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22b1987c171ad53128b0212da3ac33fa536d9995a67691001dd57e0a559b6c0e","sha256:126db9c867be4b91b36c41a52d9b283d9fd4889e4f6c0859b4b5d2a266c21b00"],"state_sha256":"1d1566a3565d2c1ba5b9e54aaed1e9222afc8828691b1e9bd981dc9a0b3cee96"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"168Jdj1GwocpMykxoyScKIZxNVubybw1DyEZG8m7rm8xpiMgkRwNwJAnTUJeOpUl5waooWTPoRiqSh2W32ypAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T06:37:48.491306Z","bundle_sha256":"f36a77276de49bc401f3b68bf66508d3ee32749c0355c33553df3ab27ffa01d0"}}