{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:6OSDSPTIPYYA3S2EBPUDSPKJUG","short_pith_number":"pith:6OSDSPTI","canonical_record":{"source":{"id":"1911.07470","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-18T07:45:19Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fcfbf6333b2f4dc7c22d3c2bec182e19927aebcfcde6b9713e0359a0b4fc176f","abstract_canon_sha256":"75bdefd8b5108af6357e90293d66b7bc205c47152d66562be91a0ff8b2963cc4"},"schema_version":"1.0"},"canonical_sha256":"f3a4393e687e300dcb440be8393d49a1a91fef0d02d53acfad7f4d3318b33ad4","source":{"kind":"arxiv","id":"1911.07470","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.07470","created_at":"2026-07-05T00:23:08Z"},{"alias_kind":"arxiv_version","alias_value":"1911.07470v2","created_at":"2026-07-05T00:23:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.07470","created_at":"2026-07-05T00:23:08Z"},{"alias_kind":"pith_short_12","alias_value":"6OSDSPTIPYYA","created_at":"2026-07-05T00:23:08Z"},{"alias_kind":"pith_short_16","alias_value":"6OSDSPTIPYYA3S2E","created_at":"2026-07-05T00:23:08Z"},{"alias_kind":"pith_short_8","alias_value":"6OSDSPTI","created_at":"2026-07-05T00:23:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:6OSDSPTIPYYA3S2EBPUDSPKJUG","target":"record","payload":{"canonical_record":{"source":{"id":"1911.07470","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-18T07:45:19Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fcfbf6333b2f4dc7c22d3c2bec182e19927aebcfcde6b9713e0359a0b4fc176f","abstract_canon_sha256":"75bdefd8b5108af6357e90293d66b7bc205c47152d66562be91a0ff8b2963cc4"},"schema_version":"1.0"},"canonical_sha256":"f3a4393e687e300dcb440be8393d49a1a91fef0d02d53acfad7f4d3318b33ad4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:23:08.554424Z","signature_b64":"nb1FzM85Bm5gorECcKRI44AS1q+h0IGLWlnq8o+ZGetNaq6FsyoMWt5abc9h24i/69JVN3B58tr9P8rl1xWUCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3a4393e687e300dcb440be8393d49a1a91fef0d02d53acfad7f4d3318b33ad4","last_reissued_at":"2026-07-05T00:23:08.554067Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:23:08.554067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.07470","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":"2026-07-05T00:23:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QmHfvHOv57gy6I8c8hf+LRv8JbxZ7D2FV1M8UdyFNCtkGGKEEFCqIJBp22Gs26DM5RksaORo/IjLttN/AcTMDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T06:03:37.732006Z"},"content_sha256":"baa977f9a0b1074de7aee343eb178e073e8e2a43dab404a90103895a44ffc1c5","schema_version":"1.0","event_id":"sha256:baa977f9a0b1074de7aee343eb178e073e8e2a43dab404a90103895a44ffc1c5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:6OSDSPTIPYYA3S2EBPUDSPKJUG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graph Transformer for Graph-to-Sequence Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Deng Cai, Wai Lam","submitted_at":"2019-11-18T07:45:19Z","abstract_excerpt":"The dominant graph-to-sequence transduction models employ graph neural networks for graph representation learning, where the structural information is reflected by the receptive field of neurons. Unlike graph neural networks that restrict the information exchange between immediate neighborhood, we propose a new model, known as Graph Transformer, that uses explicit relation encoding and allows direct communication between two distant nodes. It provides a more efficient way for global graph structure modeling. Experiments on the applications of text generation from Abstract Meaning Representatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.07470","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/1911.07470/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":"2026-07-05T00:23:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ATuE1UQ8eQODwUZIwERGjH6AP1uhizF5e/OFbkWxI7UIp/i97W7gGWcd7geaYpZyi+k4Yuvg+qwJV+o8I/qvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T06:03:37.732399Z"},"content_sha256":"88e6439ebff123fd49963fba638abf7cd158b5f9863b180b3c83d7277a90fae6","schema_version":"1.0","event_id":"sha256:88e6439ebff123fd49963fba638abf7cd158b5f9863b180b3c83d7277a90fae6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6OSDSPTIPYYA3S2EBPUDSPKJUG/bundle.json","state_url":"https://pith.science/pith/6OSDSPTIPYYA3S2EBPUDSPKJUG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6OSDSPTIPYYA3S2EBPUDSPKJUG/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":"2026-07-19T06:03:37Z","links":{"resolver":"https://pith.science/pith/6OSDSPTIPYYA3S2EBPUDSPKJUG","bundle":"https://pith.science/pith/6OSDSPTIPYYA3S2EBPUDSPKJUG/bundle.json","state":"https://pith.science/pith/6OSDSPTIPYYA3S2EBPUDSPKJUG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6OSDSPTIPYYA3S2EBPUDSPKJUG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:6OSDSPTIPYYA3S2EBPUDSPKJUG","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":"75bdefd8b5108af6357e90293d66b7bc205c47152d66562be91a0ff8b2963cc4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-18T07:45:19Z","title_canon_sha256":"fcfbf6333b2f4dc7c22d3c2bec182e19927aebcfcde6b9713e0359a0b4fc176f"},"schema_version":"1.0","source":{"id":"1911.07470","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.07470","created_at":"2026-07-05T00:23:08Z"},{"alias_kind":"arxiv_version","alias_value":"1911.07470v2","created_at":"2026-07-05T00:23:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.07470","created_at":"2026-07-05T00:23:08Z"},{"alias_kind":"pith_short_12","alias_value":"6OSDSPTIPYYA","created_at":"2026-07-05T00:23:08Z"},{"alias_kind":"pith_short_16","alias_value":"6OSDSPTIPYYA3S2E","created_at":"2026-07-05T00:23:08Z"},{"alias_kind":"pith_short_8","alias_value":"6OSDSPTI","created_at":"2026-07-05T00:23:08Z"}],"graph_snapshots":[{"event_id":"sha256:88e6439ebff123fd49963fba638abf7cd158b5f9863b180b3c83d7277a90fae6","target":"graph","created_at":"2026-07-05T00:23:08Z","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/1911.07470/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The dominant graph-to-sequence transduction models employ graph neural networks for graph representation learning, where the structural information is reflected by the receptive field of neurons. Unlike graph neural networks that restrict the information exchange between immediate neighborhood, we propose a new model, known as Graph Transformer, that uses explicit relation encoding and allows direct communication between two distant nodes. It provides a more efficient way for global graph structure modeling. Experiments on the applications of text generation from Abstract Meaning Representatio","authors_text":"Deng Cai, Wai Lam","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-18T07:45:19Z","title":"Graph Transformer for Graph-to-Sequence Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.07470","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:baa977f9a0b1074de7aee343eb178e073e8e2a43dab404a90103895a44ffc1c5","target":"record","created_at":"2026-07-05T00:23:08Z","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":"75bdefd8b5108af6357e90293d66b7bc205c47152d66562be91a0ff8b2963cc4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-18T07:45:19Z","title_canon_sha256":"fcfbf6333b2f4dc7c22d3c2bec182e19927aebcfcde6b9713e0359a0b4fc176f"},"schema_version":"1.0","source":{"id":"1911.07470","kind":"arxiv","version":2}},"canonical_sha256":"f3a4393e687e300dcb440be8393d49a1a91fef0d02d53acfad7f4d3318b33ad4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3a4393e687e300dcb440be8393d49a1a91fef0d02d53acfad7f4d3318b33ad4","first_computed_at":"2026-07-05T00:23:08.554067Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:23:08.554067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nb1FzM85Bm5gorECcKRI44AS1q+h0IGLWlnq8o+ZGetNaq6FsyoMWt5abc9h24i/69JVN3B58tr9P8rl1xWUCw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:23:08.554424Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.07470","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:baa977f9a0b1074de7aee343eb178e073e8e2a43dab404a90103895a44ffc1c5","sha256:88e6439ebff123fd49963fba638abf7cd158b5f9863b180b3c83d7277a90fae6"],"state_sha256":"0fa5447f242ab6fcb5b8c7181fa5eafdb96b2f961b0fba02676d836679f113b0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1l420SauZcX9/esGiZmMciVHQZ87PxSVTsbCco5Bo8wpMKiAmIfURi4hnII7DXpRSTvrJK44EH3zQWF/dvO9AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T06:03:37.734549Z","bundle_sha256":"29f43bf535b9d3554934d3ded567c9cbcd72c690ebb07c74212490bf4f81c0cd"}}