{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:726SX2YWJAH4RHSRW5R54GB67P","short_pith_number":"pith:726SX2YW","canonical_record":{"source":{"id":"2010.12609","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-23T18:37:06Z","cross_cats_sorted":[],"title_canon_sha256":"3d0a2120ed23d1b2c329627c2ae315d3c343bb6aaa7e139c4d49a7a2129f340d","abstract_canon_sha256":"c1622160d2dde6c71f3593f5af3627fe0b9b064d638624728fe2831c9fa7ff10"},"schema_version":"1.0"},"canonical_sha256":"febd2beb16480fc89e51b763de183efbfb87be3b3bf07dd58513795737b827b8","source":{"kind":"arxiv","id":"2010.12609","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.12609","created_at":"2026-07-05T05:30:24Z"},{"alias_kind":"arxiv_version","alias_value":"2010.12609v3","created_at":"2026-07-05T05:30:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.12609","created_at":"2026-07-05T05:30:24Z"},{"alias_kind":"pith_short_12","alias_value":"726SX2YWJAH4","created_at":"2026-07-05T05:30:24Z"},{"alias_kind":"pith_short_16","alias_value":"726SX2YWJAH4RHSR","created_at":"2026-07-05T05:30:24Z"},{"alias_kind":"pith_short_8","alias_value":"726SX2YW","created_at":"2026-07-05T05:30:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:726SX2YWJAH4RHSRW5R54GB67P","target":"record","payload":{"canonical_record":{"source":{"id":"2010.12609","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-23T18:37:06Z","cross_cats_sorted":[],"title_canon_sha256":"3d0a2120ed23d1b2c329627c2ae315d3c343bb6aaa7e139c4d49a7a2129f340d","abstract_canon_sha256":"c1622160d2dde6c71f3593f5af3627fe0b9b064d638624728fe2831c9fa7ff10"},"schema_version":"1.0"},"canonical_sha256":"febd2beb16480fc89e51b763de183efbfb87be3b3bf07dd58513795737b827b8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:30:24.510369Z","signature_b64":"a7jrsNBZ343DgHtpFbKnGOn+vF4RrUw0k1vzwAMHk8Fahgiq+TJgEJ8UTWYhHZngqplsinptDG4pq8RrCytVAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"febd2beb16480fc89e51b763de183efbfb87be3b3bf07dd58513795737b827b8","last_reissued_at":"2026-07-05T05:30:24.509861Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:30:24.509861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.12609","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":"2026-07-05T05:30:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iwrp4nQRNIgEBOAMuKZgFV0AmHnNOqprTgumqNouJ08SZRhnY5pwthORP7xFxq+ITsuVJGMf+lIE2frZgTKaBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:49:02.058198Z"},"content_sha256":"a971601c73080617049bb6ced58a3da0dadca2a8fed0d6b20a0637db850669ad","schema_version":"1.0","event_id":"sha256:a971601c73080617049bb6ced58a3da0dadca2a8fed0d6b20a0637db850669ad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:726SX2YWJAH4RHSRW5R54GB67P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Iterative Graph Self-Distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Eric P. Xing, Hanlin Zhang, Jian Tang, Pan Zhou, Shuai Lin, Weiyang Liu, Xiaodan Liang","submitted_at":"2020-10-23T18:37:06Z","abstract_excerpt":"Recently, there has been increasing interest in the challenge of how to discriminatively vectorize graphs. To address this, we propose a method called Iterative Graph Self-Distillation (IGSD) which learns graph-level representation in an unsupervised manner through instance discrimination using a self-supervised contrastive learning approach. IGSD involves a teacher-student distillation process that uses graph diffusion augmentations and constructs the teacher model using an exponential moving average of the student model. The intuition behind IGSD is to predict the teacher network representat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.12609","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2010.12609/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":"2026-07-05T05:30:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qTGU850MslyGeB419WVwjePg6cD2mYSZfkKn2ZXUEHthOLyFRBe9tiVmyMtZQJizef2+g/tQGDOiWA+XgNJbCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:49:02.058799Z"},"content_sha256":"4d7a37941938b58b7c2efdac29d9b3da633df0402690c837a59d7528c0cd2f56","schema_version":"1.0","event_id":"sha256:4d7a37941938b58b7c2efdac29d9b3da633df0402690c837a59d7528c0cd2f56"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/726SX2YWJAH4RHSRW5R54GB67P/bundle.json","state_url":"https://pith.science/pith/726SX2YWJAH4RHSRW5R54GB67P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/726SX2YWJAH4RHSRW5R54GB67P/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":"2026-08-18T22:49:02Z","links":{"resolver":"https://pith.science/pith/726SX2YWJAH4RHSRW5R54GB67P","bundle":"https://pith.science/pith/726SX2YWJAH4RHSRW5R54GB67P/bundle.json","state":"https://pith.science/pith/726SX2YWJAH4RHSRW5R54GB67P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/726SX2YWJAH4RHSRW5R54GB67P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:726SX2YWJAH4RHSRW5R54GB67P","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":"c1622160d2dde6c71f3593f5af3627fe0b9b064d638624728fe2831c9fa7ff10","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-23T18:37:06Z","title_canon_sha256":"3d0a2120ed23d1b2c329627c2ae315d3c343bb6aaa7e139c4d49a7a2129f340d"},"schema_version":"1.0","source":{"id":"2010.12609","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.12609","created_at":"2026-07-05T05:30:24Z"},{"alias_kind":"arxiv_version","alias_value":"2010.12609v3","created_at":"2026-07-05T05:30:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.12609","created_at":"2026-07-05T05:30:24Z"},{"alias_kind":"pith_short_12","alias_value":"726SX2YWJAH4","created_at":"2026-07-05T05:30:24Z"},{"alias_kind":"pith_short_16","alias_value":"726SX2YWJAH4RHSR","created_at":"2026-07-05T05:30:24Z"},{"alias_kind":"pith_short_8","alias_value":"726SX2YW","created_at":"2026-07-05T05:30:24Z"}],"graph_snapshots":[{"event_id":"sha256:4d7a37941938b58b7c2efdac29d9b3da633df0402690c837a59d7528c0cd2f56","target":"graph","created_at":"2026-07-05T05:30:24Z","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/2010.12609/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, there has been increasing interest in the challenge of how to discriminatively vectorize graphs. To address this, we propose a method called Iterative Graph Self-Distillation (IGSD) which learns graph-level representation in an unsupervised manner through instance discrimination using a self-supervised contrastive learning approach. IGSD involves a teacher-student distillation process that uses graph diffusion augmentations and constructs the teacher model using an exponential moving average of the student model. The intuition behind IGSD is to predict the teacher network representat","authors_text":"Eric P. Xing, Hanlin Zhang, Jian Tang, Pan Zhou, Shuai Lin, Weiyang Liu, Xiaodan Liang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-23T18:37:06Z","title":"Iterative Graph Self-Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.12609","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:a971601c73080617049bb6ced58a3da0dadca2a8fed0d6b20a0637db850669ad","target":"record","created_at":"2026-07-05T05:30:24Z","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":"c1622160d2dde6c71f3593f5af3627fe0b9b064d638624728fe2831c9fa7ff10","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-23T18:37:06Z","title_canon_sha256":"3d0a2120ed23d1b2c329627c2ae315d3c343bb6aaa7e139c4d49a7a2129f340d"},"schema_version":"1.0","source":{"id":"2010.12609","kind":"arxiv","version":3}},"canonical_sha256":"febd2beb16480fc89e51b763de183efbfb87be3b3bf07dd58513795737b827b8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"febd2beb16480fc89e51b763de183efbfb87be3b3bf07dd58513795737b827b8","first_computed_at":"2026-07-05T05:30:24.509861Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:30:24.509861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a7jrsNBZ343DgHtpFbKnGOn+vF4RrUw0k1vzwAMHk8Fahgiq+TJgEJ8UTWYhHZngqplsinptDG4pq8RrCytVAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:30:24.510369Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.12609","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a971601c73080617049bb6ced58a3da0dadca2a8fed0d6b20a0637db850669ad","sha256:4d7a37941938b58b7c2efdac29d9b3da633df0402690c837a59d7528c0cd2f56"],"state_sha256":"a3655ff274acf506deead1b006cd0b944667c9fe645eadc246f693462883935c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b3lIF1WYl+bsl/wJGrtIhLb8cjS92l/iCM1+QXqUy/t9Z5RDWoV4auGA/+f4nSCw4DVJjNS6yLYAm68jDY+vBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T22:49:02.063546Z","bundle_sha256":"5572fee0fdb310fa6deb8fafa3cb980283cf550442162f63917e933574983842"}}