{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:MJOTSXTFLSZNHZHMYXJQV5BV4O","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":"9b610148104cfd6bb426a369a82bfec4697dd5ea631fa4dc6cd3a5e084250003","cross_cats_sorted":["cs.AI","cs.PL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-03-04T15:39:25Z","title_canon_sha256":"2b19c996ac7c424a347ae861ad8abd3d24492b5377c309dde54284e3d2a8cfd8"},"schema_version":"1.0","source":{"id":"2103.03116","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.03116","created_at":"2026-07-05T02:20:24Z"},{"alias_kind":"arxiv_version","alias_value":"2103.03116v1","created_at":"2026-07-05T02:20:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.03116","created_at":"2026-07-05T02:20:24Z"},{"alias_kind":"pith_short_12","alias_value":"MJOTSXTFLSZN","created_at":"2026-07-05T02:20:24Z"},{"alias_kind":"pith_short_16","alias_value":"MJOTSXTFLSZNHZHM","created_at":"2026-07-05T02:20:24Z"},{"alias_kind":"pith_short_8","alias_value":"MJOTSXTF","created_at":"2026-07-05T02:20:24Z"}],"graph_snapshots":[{"event_id":"sha256:d76a0430c30bf485be1a4a831b2a398f503a7efdc82199e240934b82226dd009","target":"graph","created_at":"2026-07-05T02:20:24Z","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/2103.03116/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning from source code usually requires a large amount of labeled data. Despite the possible scarcity of labeled data, the trained model is highly task-specific and lacks transferability to different tasks. In this work, we present effective pre-training strategies on top of a novel graph-based code representation, to produce universal representations for code. Specifically, our graph-based representation captures important semantics between code elements (e.g., control flow and data flow). We pre-train graph neural networks on the representation to extract universal code properties. The pr","authors_text":"George Karypis, Hoan Nguyen, Linfeng Liu, Srinivasan Sengamedu","cross_cats":["cs.AI","cs.PL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-03-04T15:39:25Z","title":"Universal Representation for Code"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.03116","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":"sha256:753fe9085aa069398223a66a26a71444d56679d4d4ed6f207ae8e797d622b734","target":"record","created_at":"2026-07-05T02:20:24Z","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":"9b610148104cfd6bb426a369a82bfec4697dd5ea631fa4dc6cd3a5e084250003","cross_cats_sorted":["cs.AI","cs.PL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-03-04T15:39:25Z","title_canon_sha256":"2b19c996ac7c424a347ae861ad8abd3d24492b5377c309dde54284e3d2a8cfd8"},"schema_version":"1.0","source":{"id":"2103.03116","kind":"arxiv","version":1}},"canonical_sha256":"625d395e655cb2d3e4ecc5d30af435e3813467d35b5c90d1155884ca45a0ec8a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"625d395e655cb2d3e4ecc5d30af435e3813467d35b5c90d1155884ca45a0ec8a","first_computed_at":"2026-07-05T02:20:24.433868Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:20:24.433868Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sLFwkWQYh9jZZ2cqqT50HIkvW3kO0P8eZV7OLrAw7HsNfMLhd30SS1K10HJXLydwstbe32pA0G381PZMJaxkCA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:20:24.434298Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.03116","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:753fe9085aa069398223a66a26a71444d56679d4d4ed6f207ae8e797d622b734","sha256:d76a0430c30bf485be1a4a831b2a398f503a7efdc82199e240934b82226dd009"],"state_sha256":"a942ff0f485ed840f459b298d12dcf6dd26723f013a265ff5befa1ab34165a62"}