{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:TLVFB6CWEQXM6R7MSR4BKHUVWF","short_pith_number":"pith:TLVFB6CW","canonical_record":{"source":{"id":"2103.11318","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-03-21T06:46:06Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"f3c2b384992972dac85a363d2729bce23fd4aff71896ba96bc276c8dd223584d","abstract_canon_sha256":"3d26049835ea45b8ce55e42612dfbddd445cf6a6a2e463c14f4847e3456c7fa9"},"schema_version":"1.0"},"canonical_sha256":"9aea50f856242ecf47ec9478151e95b16ad1fca024cc51773a9dc30bebc11a2f","source":{"kind":"arxiv","id":"2103.11318","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.11318","created_at":"2026-07-05T02:24:59Z"},{"alias_kind":"arxiv_version","alias_value":"2103.11318v1","created_at":"2026-07-05T02:24:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.11318","created_at":"2026-07-05T02:24:59Z"},{"alias_kind":"pith_short_12","alias_value":"TLVFB6CWEQXM","created_at":"2026-07-05T02:24:59Z"},{"alias_kind":"pith_short_16","alias_value":"TLVFB6CWEQXM6R7M","created_at":"2026-07-05T02:24:59Z"},{"alias_kind":"pith_short_8","alias_value":"TLVFB6CW","created_at":"2026-07-05T02:24:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:TLVFB6CWEQXM6R7MSR4BKHUVWF","target":"record","payload":{"canonical_record":{"source":{"id":"2103.11318","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-03-21T06:46:06Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"f3c2b384992972dac85a363d2729bce23fd4aff71896ba96bc276c8dd223584d","abstract_canon_sha256":"3d26049835ea45b8ce55e42612dfbddd445cf6a6a2e463c14f4847e3456c7fa9"},"schema_version":"1.0"},"canonical_sha256":"9aea50f856242ecf47ec9478151e95b16ad1fca024cc51773a9dc30bebc11a2f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:24:59.186547Z","signature_b64":"ZB2jCXTADprJvO3WUaSwL3cFOsI1fIrvRG+ceYHNoMvCaOpefyU/Ywk5yYW0SKKv/V6l6+okcdqVlGZNJSJwCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9aea50f856242ecf47ec9478151e95b16ad1fca024cc51773a9dc30bebc11a2f","last_reissued_at":"2026-07-05T02:24:59.186154Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:24:59.186154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.11318","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":"2026-07-05T02:24:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ay35AuDI0s/U2eiaO09b/yYqd3ACuT5+C+QMn25duIfjGWRTxc7QOWTtlZ9MwF59JU/0FkCHtTmltdafssVWCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:15:06.787539Z"},"content_sha256":"ddce36e14f1f3cd4002682a542670d30f450dafea6339747d910558f7e7cbb6b","schema_version":"1.0","event_id":"sha256:ddce36e14f1f3cd4002682a542670d30f450dafea6339747d910558f7e7cbb6b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:TLVFB6CWEQXM6R7MSR4BKHUVWF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Language-Agnostic Representation Learning of Source Code from Structure and Context","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.LG","authors_text":"Daniel Z\\\"ugner, Jure Leskovec, Michele Catasta, Stephan G\\\"unnemann, Tobias Kirschstein","submitted_at":"2021-03-21T06:46:06Z","abstract_excerpt":"Source code (Context) and its parsed abstract syntax tree (AST; Structure) are two complementary representations of the same computer program. Traditionally, designers of machine learning models have relied predominantly either on Structure or Context. We propose a new model, which jointly learns on Context and Structure of source code. In contrast to previous approaches, our model uses only language-agnostic features, i.e., source code and features that can be computed directly from the AST. Besides obtaining state-of-the-art on monolingual code summarization on all five programming languages"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.11318","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/2103.11318/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":"2026-07-05T02:24:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vkunuOzElGbjoggUn3ekGYLtBBvhum0zRLP4pNPODmJroYB2LipPm5XcWMq+k/8umCawrB+oQMO3Hz1FmprPBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:15:06.788069Z"},"content_sha256":"16f0f2996a47c7a2265d109c4750265669cd09a7f31feb3630443b7f3d9bfed0","schema_version":"1.0","event_id":"sha256:16f0f2996a47c7a2265d109c4750265669cd09a7f31feb3630443b7f3d9bfed0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TLVFB6CWEQXM6R7MSR4BKHUVWF/bundle.json","state_url":"https://pith.science/pith/TLVFB6CWEQXM6R7MSR4BKHUVWF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TLVFB6CWEQXM6R7MSR4BKHUVWF/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":"2026-08-09T05:15:06Z","links":{"resolver":"https://pith.science/pith/TLVFB6CWEQXM6R7MSR4BKHUVWF","bundle":"https://pith.science/pith/TLVFB6CWEQXM6R7MSR4BKHUVWF/bundle.json","state":"https://pith.science/pith/TLVFB6CWEQXM6R7MSR4BKHUVWF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TLVFB6CWEQXM6R7MSR4BKHUVWF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TLVFB6CWEQXM6R7MSR4BKHUVWF","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":"3d26049835ea45b8ce55e42612dfbddd445cf6a6a2e463c14f4847e3456c7fa9","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-03-21T06:46:06Z","title_canon_sha256":"f3c2b384992972dac85a363d2729bce23fd4aff71896ba96bc276c8dd223584d"},"schema_version":"1.0","source":{"id":"2103.11318","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.11318","created_at":"2026-07-05T02:24:59Z"},{"alias_kind":"arxiv_version","alias_value":"2103.11318v1","created_at":"2026-07-05T02:24:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.11318","created_at":"2026-07-05T02:24:59Z"},{"alias_kind":"pith_short_12","alias_value":"TLVFB6CWEQXM","created_at":"2026-07-05T02:24:59Z"},{"alias_kind":"pith_short_16","alias_value":"TLVFB6CWEQXM6R7M","created_at":"2026-07-05T02:24:59Z"},{"alias_kind":"pith_short_8","alias_value":"TLVFB6CW","created_at":"2026-07-05T02:24:59Z"}],"graph_snapshots":[{"event_id":"sha256:16f0f2996a47c7a2265d109c4750265669cd09a7f31feb3630443b7f3d9bfed0","target":"graph","created_at":"2026-07-05T02:24:59Z","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/2103.11318/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Source code (Context) and its parsed abstract syntax tree (AST; Structure) are two complementary representations of the same computer program. Traditionally, designers of machine learning models have relied predominantly either on Structure or Context. We propose a new model, which jointly learns on Context and Structure of source code. In contrast to previous approaches, our model uses only language-agnostic features, i.e., source code and features that can be computed directly from the AST. Besides obtaining state-of-the-art on monolingual code summarization on all five programming languages","authors_text":"Daniel Z\\\"ugner, Jure Leskovec, Michele Catasta, Stephan G\\\"unnemann, Tobias Kirschstein","cross_cats":["cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-03-21T06:46:06Z","title":"Language-Agnostic Representation Learning of Source Code from Structure and Context"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.11318","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:ddce36e14f1f3cd4002682a542670d30f450dafea6339747d910558f7e7cbb6b","target":"record","created_at":"2026-07-05T02:24:59Z","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":"3d26049835ea45b8ce55e42612dfbddd445cf6a6a2e463c14f4847e3456c7fa9","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-03-21T06:46:06Z","title_canon_sha256":"f3c2b384992972dac85a363d2729bce23fd4aff71896ba96bc276c8dd223584d"},"schema_version":"1.0","source":{"id":"2103.11318","kind":"arxiv","version":1}},"canonical_sha256":"9aea50f856242ecf47ec9478151e95b16ad1fca024cc51773a9dc30bebc11a2f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9aea50f856242ecf47ec9478151e95b16ad1fca024cc51773a9dc30bebc11a2f","first_computed_at":"2026-07-05T02:24:59.186154Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:24:59.186154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZB2jCXTADprJvO3WUaSwL3cFOsI1fIrvRG+ceYHNoMvCaOpefyU/Ywk5yYW0SKKv/V6l6+okcdqVlGZNJSJwCg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:24:59.186547Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.11318","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ddce36e14f1f3cd4002682a542670d30f450dafea6339747d910558f7e7cbb6b","sha256:16f0f2996a47c7a2265d109c4750265669cd09a7f31feb3630443b7f3d9bfed0"],"state_sha256":"5c6a231aab784f9dffbbd779426ee469cde0c82f62ece2b7e103b5f2c6434adb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e8Y4OCmKVnXSu6DwGJP6Y0iDj4ts0krBSlKpM65ZcwHTS/wksCHmPLFltx5WOJTUWmLGteGnKEJZ1eNGd0lVCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T05:15:06.791871Z","bundle_sha256":"abde9604a3bbb4deb1cc9d4238ca4fb458eb60f4b8f0ddebe5120bb21e9a0556"}}