{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:SEGW4XWQPTKVYAMV26AHVPF6DG","short_pith_number":"pith:SEGW4XWQ","canonical_record":{"source":{"id":"2607.11980","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T07:25:02Z","cross_cats_sorted":[],"title_canon_sha256":"5fe8907f1e5ddeaaa5485a92f2935f36fdd57eaa0713a978baded9b7b5a73fb4","abstract_canon_sha256":"b519788274d9108de951a056c0000f5b973e8a302e5d4275dcf093efa9ace83f"},"schema_version":"1.0"},"canonical_sha256":"910d6e5ed07cd55c0195d7807abcbe1990f8d47c9242a40a26ae14af8ec06f8e","source":{"kind":"arxiv","id":"2607.11980","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11980","created_at":"2026-07-15T00:21:25Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11980v1","created_at":"2026-07-15T00:21:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11980","created_at":"2026-07-15T00:21:25Z"},{"alias_kind":"pith_short_12","alias_value":"SEGW4XWQPTKV","created_at":"2026-07-15T00:21:25Z"},{"alias_kind":"pith_short_16","alias_value":"SEGW4XWQPTKVYAMV","created_at":"2026-07-15T00:21:25Z"},{"alias_kind":"pith_short_8","alias_value":"SEGW4XWQ","created_at":"2026-07-15T00:21:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:SEGW4XWQPTKVYAMV26AHVPF6DG","target":"record","payload":{"canonical_record":{"source":{"id":"2607.11980","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T07:25:02Z","cross_cats_sorted":[],"title_canon_sha256":"5fe8907f1e5ddeaaa5485a92f2935f36fdd57eaa0713a978baded9b7b5a73fb4","abstract_canon_sha256":"b519788274d9108de951a056c0000f5b973e8a302e5d4275dcf093efa9ace83f"},"schema_version":"1.0"},"canonical_sha256":"910d6e5ed07cd55c0195d7807abcbe1990f8d47c9242a40a26ae14af8ec06f8e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-15T00:21:25.851681Z","signature_b64":"LdWLosVT3bNnuJs4P68775pMTTQk78FECD/zvgFMBZP/aiuWGwmpJoEsqT5rg+i7y+S2APybmSTaojlmvDSLBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"910d6e5ed07cd55c0195d7807abcbe1990f8d47c9242a40a26ae14af8ec06f8e","last_reissued_at":"2026-07-15T00:21:25.850884Z","signature_status":"signed_v1","first_computed_at":"2026-07-15T00:21:25.850884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.11980","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":"2026-07-15T00:21:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WB/MCiIXGfRzBVW0pMWkrzpLF0AtFo65QQz40FDAwjHTbN8rxfWwLeSOuDguqREqnMMOfUzBiHKmmC4afBQdDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:10:48.861040Z"},"content_sha256":"bfef539ca2591e3fdfa7e9565a939f8bf4367fc135e6d5a8a423f6702c914c3e","schema_version":"1.0","event_id":"sha256:bfef539ca2591e3fdfa7e9565a939f8bf4367fc135e6d5a8a423f6702c914c3e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:SEGW4XWQPTKVYAMV26AHVPF6DG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LP Mining with LP2Graph: A Use Case for Railway Rescheduling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"J\\\"orn Maurischat, Michael F\\\"arber, Nikola Be\\v{s}inovi\\'c","submitted_at":"2026-07-13T07:25:02Z","abstract_excerpt":"Like many optimization-driven domains, railway rescheduling relies on Mixed-Integer Linear Programming (MILP), yet the field's modeling knowledge is scattered across hundreds of papers in incompatible notations, and narrative surveys organize it subjectively: they classify models by vocabulary rather than by structure, and reproduce neither. We present LP Mining with LP2Graph, a method that mines the structure of published LP and MILP formulations into a reproducible dataset and an induced taxonomy. Its core, LP2Graph, represents each formulation admitted by its canonical grammar as a typed va"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11980","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/2607.11980/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":"2026-07-15T00:21:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ThbNiwCh+0zpYZBOWCw6XhQ1lcWHjJI4n8LQqGbpSZ+mNkAyUICI+GWA576lexPqgHcew4QpsxWOP8sSXwXjAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:10:48.861541Z"},"content_sha256":"9c609bf1d11a6af69e51ab05593e9549de6fd08883df1d2295c921e70218f987","schema_version":"1.0","event_id":"sha256:9c609bf1d11a6af69e51ab05593e9549de6fd08883df1d2295c921e70218f987"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SEGW4XWQPTKVYAMV26AHVPF6DG/bundle.json","state_url":"https://pith.science/pith/SEGW4XWQPTKVYAMV26AHVPF6DG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SEGW4XWQPTKVYAMV26AHVPF6DG/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":"2026-08-05T06:10:48Z","links":{"resolver":"https://pith.science/pith/SEGW4XWQPTKVYAMV26AHVPF6DG","bundle":"https://pith.science/pith/SEGW4XWQPTKVYAMV26AHVPF6DG/bundle.json","state":"https://pith.science/pith/SEGW4XWQPTKVYAMV26AHVPF6DG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SEGW4XWQPTKVYAMV26AHVPF6DG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SEGW4XWQPTKVYAMV26AHVPF6DG","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":"b519788274d9108de951a056c0000f5b973e8a302e5d4275dcf093efa9ace83f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T07:25:02Z","title_canon_sha256":"5fe8907f1e5ddeaaa5485a92f2935f36fdd57eaa0713a978baded9b7b5a73fb4"},"schema_version":"1.0","source":{"id":"2607.11980","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11980","created_at":"2026-07-15T00:21:25Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11980v1","created_at":"2026-07-15T00:21:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11980","created_at":"2026-07-15T00:21:25Z"},{"alias_kind":"pith_short_12","alias_value":"SEGW4XWQPTKV","created_at":"2026-07-15T00:21:25Z"},{"alias_kind":"pith_short_16","alias_value":"SEGW4XWQPTKVYAMV","created_at":"2026-07-15T00:21:25Z"},{"alias_kind":"pith_short_8","alias_value":"SEGW4XWQ","created_at":"2026-07-15T00:21:25Z"}],"graph_snapshots":[{"event_id":"sha256:9c609bf1d11a6af69e51ab05593e9549de6fd08883df1d2295c921e70218f987","target":"graph","created_at":"2026-07-15T00:21:25Z","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/2607.11980/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Like many optimization-driven domains, railway rescheduling relies on Mixed-Integer Linear Programming (MILP), yet the field's modeling knowledge is scattered across hundreds of papers in incompatible notations, and narrative surveys organize it subjectively: they classify models by vocabulary rather than by structure, and reproduce neither. We present LP Mining with LP2Graph, a method that mines the structure of published LP and MILP formulations into a reproducible dataset and an induced taxonomy. Its core, LP2Graph, represents each formulation admitted by its canonical grammar as a typed va","authors_text":"J\\\"orn Maurischat, Michael F\\\"arber, Nikola Be\\v{s}inovi\\'c","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T07:25:02Z","title":"LP Mining with LP2Graph: A Use Case for Railway Rescheduling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11980","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:bfef539ca2591e3fdfa7e9565a939f8bf4367fc135e6d5a8a423f6702c914c3e","target":"record","created_at":"2026-07-15T00:21:25Z","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":"b519788274d9108de951a056c0000f5b973e8a302e5d4275dcf093efa9ace83f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T07:25:02Z","title_canon_sha256":"5fe8907f1e5ddeaaa5485a92f2935f36fdd57eaa0713a978baded9b7b5a73fb4"},"schema_version":"1.0","source":{"id":"2607.11980","kind":"arxiv","version":1}},"canonical_sha256":"910d6e5ed07cd55c0195d7807abcbe1990f8d47c9242a40a26ae14af8ec06f8e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"910d6e5ed07cd55c0195d7807abcbe1990f8d47c9242a40a26ae14af8ec06f8e","first_computed_at":"2026-07-15T00:21:25.850884Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-15T00:21:25.850884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LdWLosVT3bNnuJs4P68775pMTTQk78FECD/zvgFMBZP/aiuWGwmpJoEsqT5rg+i7y+S2APybmSTaojlmvDSLBA==","signature_status":"signed_v1","signed_at":"2026-07-15T00:21:25.851681Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.11980","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bfef539ca2591e3fdfa7e9565a939f8bf4367fc135e6d5a8a423f6702c914c3e","sha256:9c609bf1d11a6af69e51ab05593e9549de6fd08883df1d2295c921e70218f987"],"state_sha256":"2eef91cabc9e9625fde92ef4f9d130eb71f5a2a767193d0315165b4345d1297c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F3B3PYLjGue0ppoy4Ks93UAmLaIEeuGzDf5gF0JSqjx1LEq/L/ngc8d+yljICdrmMfxVGFxczJhJnTSf8xq8AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T06:10:48.864948Z","bundle_sha256":"201f44a92d9827252adba7ea09e8c0ca10797c200293dfdc6d0f2415bfb1ae6e"}}