{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:NTUSBV7SELTWH4DC7IYI3OKUP6","short_pith_number":"pith:NTUSBV7S","canonical_record":{"source":{"id":"2007.12804","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-24T23:38:41Z","cross_cats_sorted":["q-bio.BM","stat.ML"],"title_canon_sha256":"a37a2cae8ff30b8dde5cd0357e88ef0f2063b5a2fb15bb079c024932c5309619","abstract_canon_sha256":"451af4133dfa1d410ed1ed70fca85868788ad5e97ff10f72f665a11f57fbdf7d"},"schema_version":"1.0"},"canonical_sha256":"6ce920d7f222e763f062fa308db9547f82d2f21748f9cf6408832514eaac1f86","source":{"kind":"arxiv","id":"2007.12804","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.12804","created_at":"2026-07-05T01:25:13Z"},{"alias_kind":"arxiv_version","alias_value":"2007.12804v1","created_at":"2026-07-05T01:25:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.12804","created_at":"2026-07-05T01:25:13Z"},{"alias_kind":"pith_short_12","alias_value":"NTUSBV7SELTW","created_at":"2026-07-05T01:25:13Z"},{"alias_kind":"pith_short_16","alias_value":"NTUSBV7SELTWH4DC","created_at":"2026-07-05T01:25:13Z"},{"alias_kind":"pith_short_8","alias_value":"NTUSBV7S","created_at":"2026-07-05T01:25:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:NTUSBV7SELTWH4DC7IYI3OKUP6","target":"record","payload":{"canonical_record":{"source":{"id":"2007.12804","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-24T23:38:41Z","cross_cats_sorted":["q-bio.BM","stat.ML"],"title_canon_sha256":"a37a2cae8ff30b8dde5cd0357e88ef0f2063b5a2fb15bb079c024932c5309619","abstract_canon_sha256":"451af4133dfa1d410ed1ed70fca85868788ad5e97ff10f72f665a11f57fbdf7d"},"schema_version":"1.0"},"canonical_sha256":"6ce920d7f222e763f062fa308db9547f82d2f21748f9cf6408832514eaac1f86","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:25:13.585032Z","signature_b64":"pBetdJMnsfml/wguDjLheFLwe/WOJ6JNCh30cX6sxHCjsqQOfoWm1SFo7UQI2LAIe0Mr9Drx2o3/r3ec5BITDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ce920d7f222e763f062fa308db9547f82d2f21748f9cf6408832514eaac1f86","last_reissued_at":"2026-07-05T01:25:13.584536Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:25:13.584536Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.12804","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":"2026-07-05T01:25:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VYUWLmHz7DpIlaXhsbcAwOHMFSq0WYF3X2quaEaziamyfEN5e1MW7Zwhp+wDiHCoRw+APpu5NAI/1E/zT/C5CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:11:28.358953Z"},"content_sha256":"1f6f034750ad461c7247ca7312389ce9a445e0bb42a75f74f39cd2f3767505e9","schema_version":"1.0","event_id":"sha256:1f6f034750ad461c7247ca7312389ce9a445e0bb42a75f74f39cd2f3767505e9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:NTUSBV7SELTWH4DC7IYI3OKUP6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hierarchical Protein Function Prediction with Tail-GNNs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.BM","stat.ML"],"primary_cat":"cs.LG","authors_text":"Jovana Kova\\v{c}evi\\'c, Mladen Nikoli\\'c, Petar Veli\\v{c}kovi\\'c, Stefan Spalevi\\'c","submitted_at":"2020-07-24T23:38:41Z","abstract_excerpt":"Protein function prediction may be framed as predicting subgraphs (with certain closure properties) of a directed acyclic graph describing the hierarchy of protein functions. Graph neural networks (GNNs), with their built-in inductive bias for relational data, are hence naturally suited for this task. However, in contrast with most GNN applications, the graph is not related to the input, but to the label space. Accordingly, we propose Tail-GNNs, neural networks which naturally compose with the output space of any neural network for multi-task prediction, to provide relationally-reinforced labe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.12804","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/2007.12804/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":"2026-07-05T01:25:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n7Oh6SKxhEsnra1veaMW7Cw3yuU5eRiVMIn7dqyiDbOHKlK0GCweheZglKmeTWy6L+Bs+H4vDeRRsKaqMK2qBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:11:28.359465Z"},"content_sha256":"bed6e62ac990638a11ddb490e961e08ca8dc2f1b00a3a174247ceae303831afd","schema_version":"1.0","event_id":"sha256:bed6e62ac990638a11ddb490e961e08ca8dc2f1b00a3a174247ceae303831afd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NTUSBV7SELTWH4DC7IYI3OKUP6/bundle.json","state_url":"https://pith.science/pith/NTUSBV7SELTWH4DC7IYI3OKUP6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NTUSBV7SELTWH4DC7IYI3OKUP6/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":"2026-08-07T10:11:28Z","links":{"resolver":"https://pith.science/pith/NTUSBV7SELTWH4DC7IYI3OKUP6","bundle":"https://pith.science/pith/NTUSBV7SELTWH4DC7IYI3OKUP6/bundle.json","state":"https://pith.science/pith/NTUSBV7SELTWH4DC7IYI3OKUP6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NTUSBV7SELTWH4DC7IYI3OKUP6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:NTUSBV7SELTWH4DC7IYI3OKUP6","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":"451af4133dfa1d410ed1ed70fca85868788ad5e97ff10f72f665a11f57fbdf7d","cross_cats_sorted":["q-bio.BM","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-24T23:38:41Z","title_canon_sha256":"a37a2cae8ff30b8dde5cd0357e88ef0f2063b5a2fb15bb079c024932c5309619"},"schema_version":"1.0","source":{"id":"2007.12804","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.12804","created_at":"2026-07-05T01:25:13Z"},{"alias_kind":"arxiv_version","alias_value":"2007.12804v1","created_at":"2026-07-05T01:25:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.12804","created_at":"2026-07-05T01:25:13Z"},{"alias_kind":"pith_short_12","alias_value":"NTUSBV7SELTW","created_at":"2026-07-05T01:25:13Z"},{"alias_kind":"pith_short_16","alias_value":"NTUSBV7SELTWH4DC","created_at":"2026-07-05T01:25:13Z"},{"alias_kind":"pith_short_8","alias_value":"NTUSBV7S","created_at":"2026-07-05T01:25:13Z"}],"graph_snapshots":[{"event_id":"sha256:bed6e62ac990638a11ddb490e961e08ca8dc2f1b00a3a174247ceae303831afd","target":"graph","created_at":"2026-07-05T01:25:13Z","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/2007.12804/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Protein function prediction may be framed as predicting subgraphs (with certain closure properties) of a directed acyclic graph describing the hierarchy of protein functions. Graph neural networks (GNNs), with their built-in inductive bias for relational data, are hence naturally suited for this task. However, in contrast with most GNN applications, the graph is not related to the input, but to the label space. Accordingly, we propose Tail-GNNs, neural networks which naturally compose with the output space of any neural network for multi-task prediction, to provide relationally-reinforced labe","authors_text":"Jovana Kova\\v{c}evi\\'c, Mladen Nikoli\\'c, Petar Veli\\v{c}kovi\\'c, Stefan Spalevi\\'c","cross_cats":["q-bio.BM","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-24T23:38:41Z","title":"Hierarchical Protein Function Prediction with Tail-GNNs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.12804","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":"sha256:1f6f034750ad461c7247ca7312389ce9a445e0bb42a75f74f39cd2f3767505e9","target":"record","created_at":"2026-07-05T01:25:13Z","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":"451af4133dfa1d410ed1ed70fca85868788ad5e97ff10f72f665a11f57fbdf7d","cross_cats_sorted":["q-bio.BM","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-24T23:38:41Z","title_canon_sha256":"a37a2cae8ff30b8dde5cd0357e88ef0f2063b5a2fb15bb079c024932c5309619"},"schema_version":"1.0","source":{"id":"2007.12804","kind":"arxiv","version":1}},"canonical_sha256":"6ce920d7f222e763f062fa308db9547f82d2f21748f9cf6408832514eaac1f86","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ce920d7f222e763f062fa308db9547f82d2f21748f9cf6408832514eaac1f86","first_computed_at":"2026-07-05T01:25:13.584536Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:25:13.584536Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pBetdJMnsfml/wguDjLheFLwe/WOJ6JNCh30cX6sxHCjsqQOfoWm1SFo7UQI2LAIe0Mr9Drx2o3/r3ec5BITDg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:25:13.585032Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.12804","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f6f034750ad461c7247ca7312389ce9a445e0bb42a75f74f39cd2f3767505e9","sha256:bed6e62ac990638a11ddb490e961e08ca8dc2f1b00a3a174247ceae303831afd"],"state_sha256":"71a7bbf6e21a24863a45bfb3d8a4eb43ea54550a2924cbbfbd8920af96a179a3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZBTvbgcXFwV7VLIqD2HEBNLJRiRLEN8BhB5QlnSYfkRjxtI+H0XEn70okIST+EyE+Ua6vzUdUVW+2V+Xp0X4Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:11:28.363411Z","bundle_sha256":"2fa47a89bc9356ba3fdd81d6615e9ddea7e4b963b3158d3a82c7886f02551521"}}