{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:YXBYBYX4AN67QQM3DLEJ3J7VWJ","short_pith_number":"pith:YXBYBYX4","canonical_record":{"source":{"id":"1211.3722","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2012-11-15T20:37:01Z","cross_cats_sorted":[],"title_canon_sha256":"bbbdd911e66bda59e850fbf007bb4084dd907aa71d71bdce2c3fd7f25a46c503","abstract_canon_sha256":"fd99bc3b4c68d757b3b29ff28bbffd9388fd3995988cfa8787ab1da06ff2b968"},"schema_version":"1.0"},"canonical_sha256":"c5c380e2fc037df8419b1ac89da7f5b24b7019c5694722a9029e812bec4fd4e8","source":{"kind":"arxiv","id":"1211.3722","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1211.3722","created_at":"2026-05-18T03:17:44Z"},{"alias_kind":"arxiv_version","alias_value":"1211.3722v4","created_at":"2026-05-18T03:17:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.3722","created_at":"2026-05-18T03:17:44Z"},{"alias_kind":"pith_short_12","alias_value":"YXBYBYX4AN67","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"YXBYBYX4AN67QQM3","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"YXBYBYX4","created_at":"2026-05-18T12:27:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:YXBYBYX4AN67QQM3DLEJ3J7VWJ","target":"record","payload":{"canonical_record":{"source":{"id":"1211.3722","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2012-11-15T20:37:01Z","cross_cats_sorted":[],"title_canon_sha256":"bbbdd911e66bda59e850fbf007bb4084dd907aa71d71bdce2c3fd7f25a46c503","abstract_canon_sha256":"fd99bc3b4c68d757b3b29ff28bbffd9388fd3995988cfa8787ab1da06ff2b968"},"schema_version":"1.0"},"canonical_sha256":"c5c380e2fc037df8419b1ac89da7f5b24b7019c5694722a9029e812bec4fd4e8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:17:44.622504Z","signature_b64":"eVRwKz6/ZSTasPgdRs2B8kQj82zw0Jc06HlzuVaYhZ80TvctGpW4czWSLT/M2lvzS3A42bsMUfy/aSoANjvPAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c5c380e2fc037df8419b1ac89da7f5b24b7019c5694722a9029e812bec4fd4e8","last_reissued_at":"2026-05-18T03:17:44.621891Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:17:44.621891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1211.3722","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:17:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XY1eJEEbXC8HvvIGl0bL4PggpFdXwebEIvOqsdrp9wujKsrzFJLrlLsFUPvVR3eoD6FAY6urwGqDclV3MadgCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T14:39:55.329794Z"},"content_sha256":"e8e4c50d915451eab457cdedbe0156a41bdf291640b6b1da7b2e7c105930eb3c","schema_version":"1.0","event_id":"sha256:e8e4c50d915451eab457cdedbe0156a41bdf291640b6b1da7b2e7c105930eb3c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:YXBYBYX4AN67QQM3DLEJ3J7VWJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimizing Abstract Abstract Machines","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.PL","authors_text":"David Van Horn, J. Ian Johnson, Matthew Might, Nicholas Labich","submitted_at":"2012-11-15T20:37:01Z","abstract_excerpt":"The technique of abstracting abstract machines (AAM) provides a systematic approach for deriving computable approximations of evaluators that are easily proved sound. This article contributes a complementary step-by-step process for subsequently going from a naive analyzer derived under the AAM approach, to an efficient and correct implementation. The end result of the process is a two to three order-of-magnitude improvement over the systematically derived analyzer, making it competitive with hand-optimized implementations that compute fundamentally less precise results."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.3722","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T03:17:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mfv6oC3rKWpO8VxL9vFpGN5Pn8prrGe7UUxt70vDbIIZRISCEygfCO0ohozqNdmkZbRyYqiWFpx9tELkVkjKDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T14:39:55.330147Z"},"content_sha256":"10c84bf3feb78d491fef44d76c348ca4981c5932dae53e5da2761b32be5ebe8e","schema_version":"1.0","event_id":"sha256:10c84bf3feb78d491fef44d76c348ca4981c5932dae53e5da2761b32be5ebe8e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YXBYBYX4AN67QQM3DLEJ3J7VWJ/bundle.json","state_url":"https://pith.science/pith/YXBYBYX4AN67QQM3DLEJ3J7VWJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YXBYBYX4AN67QQM3DLEJ3J7VWJ/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":"2026-05-28T14:39:55Z","links":{"resolver":"https://pith.science/pith/YXBYBYX4AN67QQM3DLEJ3J7VWJ","bundle":"https://pith.science/pith/YXBYBYX4AN67QQM3DLEJ3J7VWJ/bundle.json","state":"https://pith.science/pith/YXBYBYX4AN67QQM3DLEJ3J7VWJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YXBYBYX4AN67QQM3DLEJ3J7VWJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:YXBYBYX4AN67QQM3DLEJ3J7VWJ","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":"fd99bc3b4c68d757b3b29ff28bbffd9388fd3995988cfa8787ab1da06ff2b968","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2012-11-15T20:37:01Z","title_canon_sha256":"bbbdd911e66bda59e850fbf007bb4084dd907aa71d71bdce2c3fd7f25a46c503"},"schema_version":"1.0","source":{"id":"1211.3722","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1211.3722","created_at":"2026-05-18T03:17:44Z"},{"alias_kind":"arxiv_version","alias_value":"1211.3722v4","created_at":"2026-05-18T03:17:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.3722","created_at":"2026-05-18T03:17:44Z"},{"alias_kind":"pith_short_12","alias_value":"YXBYBYX4AN67","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"YXBYBYX4AN67QQM3","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"YXBYBYX4","created_at":"2026-05-18T12:27:30Z"}],"graph_snapshots":[{"event_id":"sha256:10c84bf3feb78d491fef44d76c348ca4981c5932dae53e5da2761b32be5ebe8e","target":"graph","created_at":"2026-05-18T03:17:44Z","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"},"paper":{"abstract_excerpt":"The technique of abstracting abstract machines (AAM) provides a systematic approach for deriving computable approximations of evaluators that are easily proved sound. This article contributes a complementary step-by-step process for subsequently going from a naive analyzer derived under the AAM approach, to an efficient and correct implementation. The end result of the process is a two to three order-of-magnitude improvement over the systematically derived analyzer, making it competitive with hand-optimized implementations that compute fundamentally less precise results.","authors_text":"David Van Horn, J. Ian Johnson, Matthew Might, Nicholas Labich","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2012-11-15T20:37:01Z","title":"Optimizing Abstract Abstract Machines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.3722","kind":"arxiv","version":4},"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:e8e4c50d915451eab457cdedbe0156a41bdf291640b6b1da7b2e7c105930eb3c","target":"record","created_at":"2026-05-18T03:17:44Z","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":"fd99bc3b4c68d757b3b29ff28bbffd9388fd3995988cfa8787ab1da06ff2b968","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2012-11-15T20:37:01Z","title_canon_sha256":"bbbdd911e66bda59e850fbf007bb4084dd907aa71d71bdce2c3fd7f25a46c503"},"schema_version":"1.0","source":{"id":"1211.3722","kind":"arxiv","version":4}},"canonical_sha256":"c5c380e2fc037df8419b1ac89da7f5b24b7019c5694722a9029e812bec4fd4e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5c380e2fc037df8419b1ac89da7f5b24b7019c5694722a9029e812bec4fd4e8","first_computed_at":"2026-05-18T03:17:44.621891Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:17:44.621891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eVRwKz6/ZSTasPgdRs2B8kQj82zw0Jc06HlzuVaYhZ80TvctGpW4czWSLT/M2lvzS3A42bsMUfy/aSoANjvPAw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:17:44.622504Z","signed_message":"canonical_sha256_bytes"},"source_id":"1211.3722","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8e4c50d915451eab457cdedbe0156a41bdf291640b6b1da7b2e7c105930eb3c","sha256:10c84bf3feb78d491fef44d76c348ca4981c5932dae53e5da2761b32be5ebe8e"],"state_sha256":"d35c1c5ebabc20d2612d477757c06b7a5b9eac11ec872749dff0b4f1c00ca566"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0herr8+TI+9pMI+FU6/SSqbGNzM5xigM5TOO/kLkgU1Dj2J0aCNOI9+eht+SkpHy8FqCXYkrVBXIP/2a05YgAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T14:39:55.332233Z","bundle_sha256":"f63e0a20da9d7cfb239026b4933af25245637377bfeaa9d5483cb49021fe08b7"}}