{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:QH6HHPUKNEGXGL2VEA73CAX2YP","short_pith_number":"pith:QH6HHPUK","canonical_record":{"source":{"id":"1906.09382","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2019-06-22T03:42:56Z","cross_cats_sorted":["astro-ph.GA","cs.LG","stat.ML"],"title_canon_sha256":"20b9676c0a733687edd26c530e4330027150e428256b5864796edccd21ed3751","abstract_canon_sha256":"46fa23b4be891bd52c3b7fb193966c95200b5e6e1c85f7b9e606163e58428aca"},"schema_version":"1.0"},"canonical_sha256":"81fc73be8a690d732f55203fb102fac3da6bdc1bcc923c98218169c74f6d418e","source":{"kind":"arxiv","id":"1906.09382","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09382","created_at":"2026-05-17T23:42:38Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09382v1","created_at":"2026-05-17T23:42:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09382","created_at":"2026-05-17T23:42:38Z"},{"alias_kind":"pith_short_12","alias_value":"QH6HHPUKNEGX","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"QH6HHPUKNEGXGL2V","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"QH6HHPUK","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:QH6HHPUKNEGXGL2VEA73CAX2YP","target":"record","payload":{"canonical_record":{"source":{"id":"1906.09382","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2019-06-22T03:42:56Z","cross_cats_sorted":["astro-ph.GA","cs.LG","stat.ML"],"title_canon_sha256":"20b9676c0a733687edd26c530e4330027150e428256b5864796edccd21ed3751","abstract_canon_sha256":"46fa23b4be891bd52c3b7fb193966c95200b5e6e1c85f7b9e606163e58428aca"},"schema_version":"1.0"},"canonical_sha256":"81fc73be8a690d732f55203fb102fac3da6bdc1bcc923c98218169c74f6d418e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:38.309498Z","signature_b64":"nWB6peLrtzthNeRXTpw92Rryy8hFJH+aKsqAN0SAGEkZBqaXbjT+SB9H4q0GdlIh/qKGmjTipDWPT0v8RWZNBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81fc73be8a690d732f55203fb102fac3da6bdc1bcc923c98218169c74f6d418e","last_reissued_at":"2026-05-17T23:42:38.308750Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:38.308750Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.09382","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":"2026-05-17T23:42:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yzup18lO+ppWxSqq1/w2RgbDhHLYlKOSLC8qx1q3HgidhZYlpmOfhY7mIeK8RyfrUrxWZKMuZoHQe0ER42EoDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T02:52:22.405376Z"},"content_sha256":"aed4cbce111ce5b63d421c19aed304681fa9346e8b1163d4c855bcdc44239e18","schema_version":"1.0","event_id":"sha256:aed4cbce111ce5b63d421c19aed304681fa9346e8b1163d4c855bcdc44239e18"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:QH6HHPUKNEGXGL2VEA73CAX2YP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Halo Merger Tree Generation and Evaluation Framework","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.GA","cs.LG","stat.ML"],"primary_cat":"astro-ph.CO","authors_text":"Ad\\'in Ram\\'irez Rivera, Diego Dujovne, Jenny A. Gonz\\'alez, Jonathan S. G\\'omez, Nelson D. Padilla, Sandra Robles","submitted_at":"2019-06-22T03:42:56Z","abstract_excerpt":"Semi-analytic models are best suited to compare galaxy formation and evolution theories with observations. These models rely heavily on halo merger trees, and their realistic features (i.e., no drastic changes on halo mass or jumps on physical locations). Our aim is to provide a new framework for halo merger tree generation that takes advantage of the results of large volume simulations, with a modest computational cost. We treat halo merger tree construction as a matrix generation problem, and propose a Generative Adversarial Network that learns to generate realistic halo merger trees. We eva"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09382","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":""},"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":"2026-05-17T23:42:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cmrQN13H/jIxmPyP1h1Tjm0na6w+AurCavNqLcVnVvOfKb9TCq/iD80H3yONA6sFw0pZUjPOeDv6R3RGUM7IDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T02:52:22.405767Z"},"content_sha256":"bc0f3030fcdbd96c13358cf17be5847c72de3dfd759edb3238e94fa2659e5b9e","schema_version":"1.0","event_id":"sha256:bc0f3030fcdbd96c13358cf17be5847c72de3dfd759edb3238e94fa2659e5b9e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QH6HHPUKNEGXGL2VEA73CAX2YP/bundle.json","state_url":"https://pith.science/pith/QH6HHPUKNEGXGL2VEA73CAX2YP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QH6HHPUKNEGXGL2VEA73CAX2YP/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":"2026-05-26T02:52:22Z","links":{"resolver":"https://pith.science/pith/QH6HHPUKNEGXGL2VEA73CAX2YP","bundle":"https://pith.science/pith/QH6HHPUKNEGXGL2VEA73CAX2YP/bundle.json","state":"https://pith.science/pith/QH6HHPUKNEGXGL2VEA73CAX2YP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QH6HHPUKNEGXGL2VEA73CAX2YP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:QH6HHPUKNEGXGL2VEA73CAX2YP","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":"46fa23b4be891bd52c3b7fb193966c95200b5e6e1c85f7b9e606163e58428aca","cross_cats_sorted":["astro-ph.GA","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2019-06-22T03:42:56Z","title_canon_sha256":"20b9676c0a733687edd26c530e4330027150e428256b5864796edccd21ed3751"},"schema_version":"1.0","source":{"id":"1906.09382","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09382","created_at":"2026-05-17T23:42:38Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09382v1","created_at":"2026-05-17T23:42:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09382","created_at":"2026-05-17T23:42:38Z"},{"alias_kind":"pith_short_12","alias_value":"QH6HHPUKNEGX","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"QH6HHPUKNEGXGL2V","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"QH6HHPUK","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:bc0f3030fcdbd96c13358cf17be5847c72de3dfd759edb3238e94fa2659e5b9e","target":"graph","created_at":"2026-05-17T23:42:38Z","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":"Semi-analytic models are best suited to compare galaxy formation and evolution theories with observations. These models rely heavily on halo merger trees, and their realistic features (i.e., no drastic changes on halo mass or jumps on physical locations). Our aim is to provide a new framework for halo merger tree generation that takes advantage of the results of large volume simulations, with a modest computational cost. We treat halo merger tree construction as a matrix generation problem, and propose a Generative Adversarial Network that learns to generate realistic halo merger trees. We eva","authors_text":"Ad\\'in Ram\\'irez Rivera, Diego Dujovne, Jenny A. Gonz\\'alez, Jonathan S. G\\'omez, Nelson D. Padilla, Sandra Robles","cross_cats":["astro-ph.GA","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2019-06-22T03:42:56Z","title":"A Halo Merger Tree Generation and Evaluation Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09382","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:aed4cbce111ce5b63d421c19aed304681fa9346e8b1163d4c855bcdc44239e18","target":"record","created_at":"2026-05-17T23:42:38Z","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":"46fa23b4be891bd52c3b7fb193966c95200b5e6e1c85f7b9e606163e58428aca","cross_cats_sorted":["astro-ph.GA","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2019-06-22T03:42:56Z","title_canon_sha256":"20b9676c0a733687edd26c530e4330027150e428256b5864796edccd21ed3751"},"schema_version":"1.0","source":{"id":"1906.09382","kind":"arxiv","version":1}},"canonical_sha256":"81fc73be8a690d732f55203fb102fac3da6bdc1bcc923c98218169c74f6d418e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"81fc73be8a690d732f55203fb102fac3da6bdc1bcc923c98218169c74f6d418e","first_computed_at":"2026-05-17T23:42:38.308750Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:38.308750Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nWB6peLrtzthNeRXTpw92Rryy8hFJH+aKsqAN0SAGEkZBqaXbjT+SB9H4q0GdlIh/qKGmjTipDWPT0v8RWZNBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:38.309498Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.09382","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aed4cbce111ce5b63d421c19aed304681fa9346e8b1163d4c855bcdc44239e18","sha256:bc0f3030fcdbd96c13358cf17be5847c72de3dfd759edb3238e94fa2659e5b9e"],"state_sha256":"f2b9915362016dbc0cf07c738256163de0f2dc9e3e7ec93faeac4ee921e12258"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AP45g9NI12RvruTXDU92i3acZjCow9bSLNJlEr6y4fMc35rxIWraeRSZdtuo/wmG2lSKjSim0/JCkfAX6x9oAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T02:52:22.409081Z","bundle_sha256":"0e73aa80f88f613386a99f0733c5ab5285376b659dbb97a27896bf543a00727c"}}