{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:N424EXOCW5K4YVDTKH7BWYLIKL","short_pith_number":"pith:N424EXOC","canonical_record":{"source":{"id":"2605.15011","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-14T16:12:12Z","cross_cats_sorted":[],"title_canon_sha256":"a165d90b137e3f27939a1254f0f9b9459b6652c7ab589673199778e02d04f510","abstract_canon_sha256":"5317f2103b50a35607b4dc63c1dde5f87bcdf0ea02786e58e97872adc932e701"},"schema_version":"1.0"},"canonical_sha256":"6f35c25dc2b755cc547351fe1b616852d73a779c2b94663b72fbce1ad6939c59","source":{"kind":"arxiv","id":"2605.15011","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15011","created_at":"2026-05-17T23:38:54Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15011v1","created_at":"2026-05-17T23:38:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15011","created_at":"2026-05-17T23:38:54Z"},{"alias_kind":"pith_short_12","alias_value":"N424EXOCW5K4","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"N424EXOCW5K4YVDT","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"N424EXOC","created_at":"2026-05-18T12:33:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:N424EXOCW5K4YVDTKH7BWYLIKL","target":"record","payload":{"canonical_record":{"source":{"id":"2605.15011","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-14T16:12:12Z","cross_cats_sorted":[],"title_canon_sha256":"a165d90b137e3f27939a1254f0f9b9459b6652c7ab589673199778e02d04f510","abstract_canon_sha256":"5317f2103b50a35607b4dc63c1dde5f87bcdf0ea02786e58e97872adc932e701"},"schema_version":"1.0"},"canonical_sha256":"6f35c25dc2b755cc547351fe1b616852d73a779c2b94663b72fbce1ad6939c59","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:38:54.786855Z","signature_b64":"1QR3vewcSpYo3pr5LkqMDZ37GKbFP2bwM+oRVqpdUJqbCcwx24LpOdlUkKmGFDRr6VnOjCQvKpDy8wgWsFR+Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6f35c25dc2b755cc547351fe1b616852d73a779c2b94663b72fbce1ad6939c59","last_reissued_at":"2026-05-17T23:38:54.786123Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:38:54.786123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.15011","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":"2026-05-17T23:38:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LeKASeuucns48m3BoMeQO7T/4EOPavmNdg5qakJqFKFcrSqjTxehXrX0N2TnGiC9mO8XYftSrBaeHBGMas87CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T12:48:05.606924Z"},"content_sha256":"1094c4bec3a210553a298b3c8ecfb1506de423c52ab3179e478a7c8a86ec1cea","schema_version":"1.0","event_id":"sha256:1094c4bec3a210553a298b3c8ecfb1506de423c52ab3179e478a7c8a86ec1cea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:N424EXOCW5K4YVDTKH7BWYLIKL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Scientific Contribution Graph: Automated Literature-based Technological Roadmapping at Scale","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Peter A. Jansen","submitted_at":"2026-05-14T16:12:12Z","abstract_excerpt":"Scientific contributions rarely develop in isolation, but instead build upon prior discoveries. We formulate the task of automated technological roadmapping as extracting scientific contributions from scholarly articles and linking them to their prerequisites. We present the Scientific Contribution Graph, a large-scale AI/NLP-domain resource containing 2 million detailed scientific contributions extracted from 230k open-access papers and connected by 12.5 million prerequisite edges. We further introduce scientific prerequisite prediction, a scientific discovery task in which models predict whi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.15011","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":""},"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":"2026-05-17T23:38:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MnPmzxLXmZb7r9Xqv94Rw+kxseJ2/zKfKhyH7WKOq+F/kiMfQ/zoKCDtsMV2uCg/lsVgPD3oUc3aRLWpw/0pBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T12:48:05.607266Z"},"content_sha256":"ae61c52798ab3889637b138c8fe48b14908e53769abece3f878aee44731a26fa","schema_version":"1.0","event_id":"sha256:ae61c52798ab3889637b138c8fe48b14908e53769abece3f878aee44731a26fa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N424EXOCW5K4YVDTKH7BWYLIKL/bundle.json","state_url":"https://pith.science/pith/N424EXOCW5K4YVDTKH7BWYLIKL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N424EXOCW5K4YVDTKH7BWYLIKL/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":"2026-07-01T12:48:05Z","links":{"resolver":"https://pith.science/pith/N424EXOCW5K4YVDTKH7BWYLIKL","bundle":"https://pith.science/pith/N424EXOCW5K4YVDTKH7BWYLIKL/bundle.json","state":"https://pith.science/pith/N424EXOCW5K4YVDTKH7BWYLIKL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N424EXOCW5K4YVDTKH7BWYLIKL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:N424EXOCW5K4YVDTKH7BWYLIKL","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":"5317f2103b50a35607b4dc63c1dde5f87bcdf0ea02786e58e97872adc932e701","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-14T16:12:12Z","title_canon_sha256":"a165d90b137e3f27939a1254f0f9b9459b6652c7ab589673199778e02d04f510"},"schema_version":"1.0","source":{"id":"2605.15011","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15011","created_at":"2026-05-17T23:38:54Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15011v1","created_at":"2026-05-17T23:38:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15011","created_at":"2026-05-17T23:38:54Z"},{"alias_kind":"pith_short_12","alias_value":"N424EXOCW5K4","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"N424EXOCW5K4YVDT","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"N424EXOC","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:ae61c52798ab3889637b138c8fe48b14908e53769abece3f878aee44731a26fa","target":"graph","created_at":"2026-05-17T23:38:54Z","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":"Scientific contributions rarely develop in isolation, but instead build upon prior discoveries. We formulate the task of automated technological roadmapping as extracting scientific contributions from scholarly articles and linking them to their prerequisites. We present the Scientific Contribution Graph, a large-scale AI/NLP-domain resource containing 2 million detailed scientific contributions extracted from 230k open-access papers and connected by 12.5 million prerequisite edges. We further introduce scientific prerequisite prediction, a scientific discovery task in which models predict whi","authors_text":"Peter A. Jansen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-14T16:12:12Z","title":"The Scientific Contribution Graph: Automated Literature-based Technological Roadmapping at Scale"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.15011","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":"sha256:1094c4bec3a210553a298b3c8ecfb1506de423c52ab3179e478a7c8a86ec1cea","target":"record","created_at":"2026-05-17T23:38:54Z","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":"5317f2103b50a35607b4dc63c1dde5f87bcdf0ea02786e58e97872adc932e701","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-14T16:12:12Z","title_canon_sha256":"a165d90b137e3f27939a1254f0f9b9459b6652c7ab589673199778e02d04f510"},"schema_version":"1.0","source":{"id":"2605.15011","kind":"arxiv","version":1}},"canonical_sha256":"6f35c25dc2b755cc547351fe1b616852d73a779c2b94663b72fbce1ad6939c59","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6f35c25dc2b755cc547351fe1b616852d73a779c2b94663b72fbce1ad6939c59","first_computed_at":"2026-05-17T23:38:54.786123Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:38:54.786123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1QR3vewcSpYo3pr5LkqMDZ37GKbFP2bwM+oRVqpdUJqbCcwx24LpOdlUkKmGFDRr6VnOjCQvKpDy8wgWsFR+Dw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:38:54.786855Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15011","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1094c4bec3a210553a298b3c8ecfb1506de423c52ab3179e478a7c8a86ec1cea","sha256:ae61c52798ab3889637b138c8fe48b14908e53769abece3f878aee44731a26fa"],"state_sha256":"48a131538b35812f2bf60d63bd7be693967f299adc908af23a8c31d63dab5470"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nOkQgk1mbOTKP4CCP0kIq0jd2EYnJgZTK75jRXKYObOo8zDQwsWjkFfLb8u3QGK1UVgBlHaZ5bqmgdqfrL1ECw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T12:48:05.609204Z","bundle_sha256":"32a1a8b22b12072635992caaf9ca0095536a11bc1f84ec5659fabc1e4fbb0e26"}}