{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:HXGG3U6W7P55BAEKUXVF6VFS2O","short_pith_number":"pith:HXGG3U6W","canonical_record":{"source":{"id":"2107.06048","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-07-13T12:58:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"479660d32aebc6170262f4e76a4088f92ec7ad4e2c3a9922ffbfaab4048fe5e6","abstract_canon_sha256":"103e9a2e9b657a4de00b3820e1e66776929632d87fda002cd4683dd1b13a52e1"},"schema_version":"1.0"},"canonical_sha256":"3dcc6dd3d6fbfbd0808aa5ea5f54b2d3b0e2d1991be59967f28bfa045e6c8700","source":{"kind":"arxiv","id":"2107.06048","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.06048","created_at":"2026-07-05T04:24:34Z"},{"alias_kind":"arxiv_version","alias_value":"2107.06048v2","created_at":"2026-07-05T04:24:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.06048","created_at":"2026-07-05T04:24:34Z"},{"alias_kind":"pith_short_12","alias_value":"HXGG3U6W7P55","created_at":"2026-07-05T04:24:34Z"},{"alias_kind":"pith_short_16","alias_value":"HXGG3U6W7P55BAEK","created_at":"2026-07-05T04:24:34Z"},{"alias_kind":"pith_short_8","alias_value":"HXGG3U6W","created_at":"2026-07-05T04:24:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:HXGG3U6W7P55BAEKUXVF6VFS2O","target":"record","payload":{"canonical_record":{"source":{"id":"2107.06048","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-07-13T12:58:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"479660d32aebc6170262f4e76a4088f92ec7ad4e2c3a9922ffbfaab4048fe5e6","abstract_canon_sha256":"103e9a2e9b657a4de00b3820e1e66776929632d87fda002cd4683dd1b13a52e1"},"schema_version":"1.0"},"canonical_sha256":"3dcc6dd3d6fbfbd0808aa5ea5f54b2d3b0e2d1991be59967f28bfa045e6c8700","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:24:34.914255Z","signature_b64":"PXq8ZIg3borvK52XMQbK77qarGkSv3tA/gJBgYJHEq8KRdCCeU90dYGeMNDKlp/K5f+L+b5mvvnc8bEbmRBbBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3dcc6dd3d6fbfbd0808aa5ea5f54b2d3b0e2d1991be59967f28bfa045e6c8700","last_reissued_at":"2026-07-05T04:24:34.913872Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:24:34.913872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.06048","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":"2026-07-05T04:24:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x5JWwcRPY6dSyn8aZBXvj/o1hV614iG+5s/gqReYB7DtHK8msWu5q8wzmaEDxSitYIdjkHHW/RTnmlIbrmQMBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T22:13:18.774085Z"},"content_sha256":"d5da59f73b3bba0e4a9227e20c37bd79ff294163b831d424f4c15dc4f39d13fe","schema_version":"1.0","event_id":"sha256:d5da59f73b3bba0e4a9227e20c37bd79ff294163b831d424f4c15dc4f39d13fe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:HXGG3U6W7P55BAEKUXVF6VFS2O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Graph Data Augmentation Strategy with Entropy Preservation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Dan Sun, Wei Wei, Xue Liu","submitted_at":"2021-07-13T12:58:32Z","abstract_excerpt":"The Graph Convolutional Networks (GCN) proposed by Kipf and Welling is an effective model for semi-supervised learning, but faces the obstacle of over-smoothing, which will weaken the representation ability of GCN. Recently some works are proposed to tackle above limitation by randomly perturbing graph topology or feature matrix to generate data augmentations as input for training. However, these operations inevitably do damage to the integrity of information structures and have to sacrifice the smoothness of feature manifold. In this paper, we first introduce a novel graph entropy definition "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.06048","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/2107.06048/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":"2026-07-05T04:24:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+A6ZcKB2357/37r4i6NR+pvT9RMSqsnkdgZGazktWsFs2UbDnr4k7y9/HKxEsmRKxwsBW/IIr4ghiHhVKSQ4BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T22:13:18.775002Z"},"content_sha256":"39ad415d4984207f0174dfbb6fdf3ca54791d97625433c36d1a85a761a221047","schema_version":"1.0","event_id":"sha256:39ad415d4984207f0174dfbb6fdf3ca54791d97625433c36d1a85a761a221047"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HXGG3U6W7P55BAEKUXVF6VFS2O/bundle.json","state_url":"https://pith.science/pith/HXGG3U6W7P55BAEKUXVF6VFS2O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HXGG3U6W7P55BAEKUXVF6VFS2O/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":"2026-08-10T22:13:18Z","links":{"resolver":"https://pith.science/pith/HXGG3U6W7P55BAEKUXVF6VFS2O","bundle":"https://pith.science/pith/HXGG3U6W7P55BAEKUXVF6VFS2O/bundle.json","state":"https://pith.science/pith/HXGG3U6W7P55BAEKUXVF6VFS2O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HXGG3U6W7P55BAEKUXVF6VFS2O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:HXGG3U6W7P55BAEKUXVF6VFS2O","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":"103e9a2e9b657a4de00b3820e1e66776929632d87fda002cd4683dd1b13a52e1","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-07-13T12:58:32Z","title_canon_sha256":"479660d32aebc6170262f4e76a4088f92ec7ad4e2c3a9922ffbfaab4048fe5e6"},"schema_version":"1.0","source":{"id":"2107.06048","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.06048","created_at":"2026-07-05T04:24:34Z"},{"alias_kind":"arxiv_version","alias_value":"2107.06048v2","created_at":"2026-07-05T04:24:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.06048","created_at":"2026-07-05T04:24:34Z"},{"alias_kind":"pith_short_12","alias_value":"HXGG3U6W7P55","created_at":"2026-07-05T04:24:34Z"},{"alias_kind":"pith_short_16","alias_value":"HXGG3U6W7P55BAEK","created_at":"2026-07-05T04:24:34Z"},{"alias_kind":"pith_short_8","alias_value":"HXGG3U6W","created_at":"2026-07-05T04:24:34Z"}],"graph_snapshots":[{"event_id":"sha256:39ad415d4984207f0174dfbb6fdf3ca54791d97625433c36d1a85a761a221047","target":"graph","created_at":"2026-07-05T04:24:34Z","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/2107.06048/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Graph Convolutional Networks (GCN) proposed by Kipf and Welling is an effective model for semi-supervised learning, but faces the obstacle of over-smoothing, which will weaken the representation ability of GCN. Recently some works are proposed to tackle above limitation by randomly perturbing graph topology or feature matrix to generate data augmentations as input for training. However, these operations inevitably do damage to the integrity of information structures and have to sacrifice the smoothness of feature manifold. In this paper, we first introduce a novel graph entropy definition ","authors_text":"Dan Sun, Wei Wei, Xue Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-07-13T12:58:32Z","title":"A Graph Data Augmentation Strategy with Entropy Preservation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.06048","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:d5da59f73b3bba0e4a9227e20c37bd79ff294163b831d424f4c15dc4f39d13fe","target":"record","created_at":"2026-07-05T04:24:34Z","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":"103e9a2e9b657a4de00b3820e1e66776929632d87fda002cd4683dd1b13a52e1","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-07-13T12:58:32Z","title_canon_sha256":"479660d32aebc6170262f4e76a4088f92ec7ad4e2c3a9922ffbfaab4048fe5e6"},"schema_version":"1.0","source":{"id":"2107.06048","kind":"arxiv","version":2}},"canonical_sha256":"3dcc6dd3d6fbfbd0808aa5ea5f54b2d3b0e2d1991be59967f28bfa045e6c8700","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3dcc6dd3d6fbfbd0808aa5ea5f54b2d3b0e2d1991be59967f28bfa045e6c8700","first_computed_at":"2026-07-05T04:24:34.913872Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:24:34.913872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PXq8ZIg3borvK52XMQbK77qarGkSv3tA/gJBgYJHEq8KRdCCeU90dYGeMNDKlp/K5f+L+b5mvvnc8bEbmRBbBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:24:34.914255Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.06048","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5da59f73b3bba0e4a9227e20c37bd79ff294163b831d424f4c15dc4f39d13fe","sha256:39ad415d4984207f0174dfbb6fdf3ca54791d97625433c36d1a85a761a221047"],"state_sha256":"2895e909c8d04efbac6609ad56f416008fb828803d72eb7f4fef124ade274beb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hh0MLDaYdAexJ+s5gMB7zX3ls8ASz6TgWCCQW4b4JAIAmnA6iGhvD26FMVgguBeHIct9C82wLwZodKZ+ocZiBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T22:13:18.831872Z","bundle_sha256":"02ad81b148846b9bbe26f67c7ee7c041a603383fd48ead65ec2ff3acbff63650"}}