{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:X7JOXICTBRI3BTO43L45CU36IB","short_pith_number":"pith:X7JOXICT","canonical_record":{"source":{"id":"1810.13163","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2018-10-31T08:58:15Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ae8ef005158baa9c4ebbec48f395b65bb8d856f8dd942f731f1b721e27107681","abstract_canon_sha256":"c3153a2bb2fd1a9f05f3e91192a7ffd942505cea86cc6af3b4e9c492912c4100"},"schema_version":"1.0"},"canonical_sha256":"bfd2eba0530c51b0cddcdaf9d1537e407473cea1c9b88d40d40d0d7d67118615","source":{"kind":"arxiv","id":"1810.13163","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.13163","created_at":"2026-05-18T00:01:52Z"},{"alias_kind":"arxiv_version","alias_value":"1810.13163v1","created_at":"2026-05-18T00:01:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.13163","created_at":"2026-05-18T00:01:52Z"},{"alias_kind":"pith_short_12","alias_value":"X7JOXICTBRI3","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"X7JOXICTBRI3BTO4","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"X7JOXICT","created_at":"2026-05-18T12:33:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:X7JOXICTBRI3BTO43L45CU36IB","target":"record","payload":{"canonical_record":{"source":{"id":"1810.13163","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2018-10-31T08:58:15Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ae8ef005158baa9c4ebbec48f395b65bb8d856f8dd942f731f1b721e27107681","abstract_canon_sha256":"c3153a2bb2fd1a9f05f3e91192a7ffd942505cea86cc6af3b4e9c492912c4100"},"schema_version":"1.0"},"canonical_sha256":"bfd2eba0530c51b0cddcdaf9d1537e407473cea1c9b88d40d40d0d7d67118615","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:01:52.107416Z","signature_b64":"KSSrgnO34SLuLHSQzCpcVXHiFTXcEZicGTJ0OLwIONniy1OQtGwZMNlrP4311A52qqJpehEOCv3jFOz76dwNAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bfd2eba0530c51b0cddcdaf9d1537e407473cea1c9b88d40d40d0d7d67118615","last_reissued_at":"2026-05-18T00:01:52.106875Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:01:52.106875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.13163","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":"2026-05-18T00:01:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wptJvCN2tNEciYhhaNMnNhbTwVFjTk1o9gkpuCDu3cKOk6R0ZwDre1/sa5Gj9I5et38k22J9POARw6mczsx8BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T02:20:42.892032Z"},"content_sha256":"140423a420db4c16e5b3c51c1aaea6c35bc074c7819a6c61d8e15d9d8876f1bc","schema_version":"1.0","event_id":"sha256:140423a420db4c16e5b3c51c1aaea6c35bc074c7819a6c61d8e15d9d8876f1bc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:X7JOXICTBRI3BTO43L45CU36IB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A tutorial on MDL hypothesis testing for graph analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Peter Bloem, Steven de Rooij","submitted_at":"2018-10-31T08:58:15Z","abstract_excerpt":"This document provides a tutorial description of the use of the MDL principle in complex graph analysis. We give a brief summary of the preliminary subjects, and describe the basic principle, using the example of analysing the size of the largest clique in a graph. We also provide a discussion of how to interpret the results of such an analysis, making note of several common pitfalls."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.13163","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":"2026-05-18T00:01:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0hcAVFX86vROxZFShCZbxutVboRvoqCTdzT1lrjVP4lKoRzgyX73hPMqgQOfobXvV7ZJNTKDP6xeXPlw/g2JBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T02:20:42.892733Z"},"content_sha256":"86db834fecde2d851499cf586b53dc3b226eb335ad326b4a8aeeae76e8f002c0","schema_version":"1.0","event_id":"sha256:86db834fecde2d851499cf586b53dc3b226eb335ad326b4a8aeeae76e8f002c0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X7JOXICTBRI3BTO43L45CU36IB/bundle.json","state_url":"https://pith.science/pith/X7JOXICTBRI3BTO43L45CU36IB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X7JOXICTBRI3BTO43L45CU36IB/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":"2026-05-26T02:20:42Z","links":{"resolver":"https://pith.science/pith/X7JOXICTBRI3BTO43L45CU36IB","bundle":"https://pith.science/pith/X7JOXICTBRI3BTO43L45CU36IB/bundle.json","state":"https://pith.science/pith/X7JOXICTBRI3BTO43L45CU36IB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X7JOXICTBRI3BTO43L45CU36IB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:X7JOXICTBRI3BTO43L45CU36IB","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":"c3153a2bb2fd1a9f05f3e91192a7ffd942505cea86cc6af3b4e9c492912c4100","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2018-10-31T08:58:15Z","title_canon_sha256":"ae8ef005158baa9c4ebbec48f395b65bb8d856f8dd942f731f1b721e27107681"},"schema_version":"1.0","source":{"id":"1810.13163","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.13163","created_at":"2026-05-18T00:01:52Z"},{"alias_kind":"arxiv_version","alias_value":"1810.13163v1","created_at":"2026-05-18T00:01:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.13163","created_at":"2026-05-18T00:01:52Z"},{"alias_kind":"pith_short_12","alias_value":"X7JOXICTBRI3","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"X7JOXICTBRI3BTO4","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"X7JOXICT","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:86db834fecde2d851499cf586b53dc3b226eb335ad326b4a8aeeae76e8f002c0","target":"graph","created_at":"2026-05-18T00:01:52Z","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":"This document provides a tutorial description of the use of the MDL principle in complex graph analysis. We give a brief summary of the preliminary subjects, and describe the basic principle, using the example of analysing the size of the largest clique in a graph. We also provide a discussion of how to interpret the results of such an analysis, making note of several common pitfalls.","authors_text":"Peter Bloem, Steven de Rooij","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2018-10-31T08:58:15Z","title":"A tutorial on MDL hypothesis testing for graph analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.13163","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":"sha256:140423a420db4c16e5b3c51c1aaea6c35bc074c7819a6c61d8e15d9d8876f1bc","target":"record","created_at":"2026-05-18T00:01:52Z","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":"c3153a2bb2fd1a9f05f3e91192a7ffd942505cea86cc6af3b4e9c492912c4100","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2018-10-31T08:58:15Z","title_canon_sha256":"ae8ef005158baa9c4ebbec48f395b65bb8d856f8dd942f731f1b721e27107681"},"schema_version":"1.0","source":{"id":"1810.13163","kind":"arxiv","version":1}},"canonical_sha256":"bfd2eba0530c51b0cddcdaf9d1537e407473cea1c9b88d40d40d0d7d67118615","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bfd2eba0530c51b0cddcdaf9d1537e407473cea1c9b88d40d40d0d7d67118615","first_computed_at":"2026-05-18T00:01:52.106875Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:01:52.106875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KSSrgnO34SLuLHSQzCpcVXHiFTXcEZicGTJ0OLwIONniy1OQtGwZMNlrP4311A52qqJpehEOCv3jFOz76dwNAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:01:52.107416Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.13163","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:140423a420db4c16e5b3c51c1aaea6c35bc074c7819a6c61d8e15d9d8876f1bc","sha256:86db834fecde2d851499cf586b53dc3b226eb335ad326b4a8aeeae76e8f002c0"],"state_sha256":"27173be5d235943654e4cd051b856efb24ca8337125d30fb2eacf32986dd942f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+gimYaGHzqcIcTEOfLSHX/syFFRabMA8UuqNL7V9+B87xSoQ9ezxDsNJi1YBEAmUHR3dvq+VrAjRn2s5vNEYCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T02:20:42.896592Z","bundle_sha256":"d7c63b37cb2710bcb41473f82b5011593dcad595f00163085de9a7d3ba787f9a"}}