{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LO77JIL3FSPSEP2RNTURBIJUU2","short_pith_number":"pith:LO77JIL3","canonical_record":{"source":{"id":"2605.17151","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-16T20:51:37Z","cross_cats_sorted":[],"title_canon_sha256":"0c207cf3d90919a1ad8240f78f710358c5820090ff9a2ff5d7bd4123ec858385","abstract_canon_sha256":"4590afc1b129b5f7cec1314fa69be56975d716ee2f87c91fc53e5c1c1a50091b"},"schema_version":"1.0"},"canonical_sha256":"5bbff4a17b2c9f223f516ce910a134a6a065e30df3ebf2d7960e245deec3a91f","source":{"kind":"arxiv","id":"2605.17151","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17151","created_at":"2026-05-20T00:03:42Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17151v1","created_at":"2026-05-20T00:03:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17151","created_at":"2026-05-20T00:03:42Z"},{"alias_kind":"pith_short_12","alias_value":"LO77JIL3FSPS","created_at":"2026-05-20T00:03:42Z"},{"alias_kind":"pith_short_16","alias_value":"LO77JIL3FSPSEP2R","created_at":"2026-05-20T00:03:42Z"},{"alias_kind":"pith_short_8","alias_value":"LO77JIL3","created_at":"2026-05-20T00:03:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LO77JIL3FSPSEP2RNTURBIJUU2","target":"record","payload":{"canonical_record":{"source":{"id":"2605.17151","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-16T20:51:37Z","cross_cats_sorted":[],"title_canon_sha256":"0c207cf3d90919a1ad8240f78f710358c5820090ff9a2ff5d7bd4123ec858385","abstract_canon_sha256":"4590afc1b129b5f7cec1314fa69be56975d716ee2f87c91fc53e5c1c1a50091b"},"schema_version":"1.0"},"canonical_sha256":"5bbff4a17b2c9f223f516ce910a134a6a065e30df3ebf2d7960e245deec3a91f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:03:42.307810Z","signature_b64":"48JkxW1+sQZQ/Ielf9oYBkxwrZOagqiiWEb7O32ZaRQeobU2orDgEu3ovkFaEVLALjvJixzXOLgQa3oIz+AnCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5bbff4a17b2c9f223f516ce910a134a6a065e30df3ebf2d7960e245deec3a91f","last_reissued_at":"2026-05-20T00:03:42.307031Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:03:42.307031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.17151","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":"2026-05-20T00:03:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LF7HkpdovJaL/M4AAsDIKLHkkiJlm0FUiC5FeQuxq4ZacP7npm2QRBnQqZyofho24ar9dkDSFEvlML/lH08qAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T04:20:24.253451Z"},"content_sha256":"a82d7e02467a431da0deabfabb08fc5a895fbd5f5aad4e2f2d38f59253b32e8f","schema_version":"1.0","event_id":"sha256:a82d7e02467a431da0deabfabb08fc5a895fbd5f5aad4e2f2d38f59253b32e8f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LO77JIL3FSPSEP2RNTURBIJUU2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Analytical Multiple Criteria Framework for Temporal and Dynamic Business-to-Business Customer Segmentation in Manufacturing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Konstantinos Papangelis, Muhammad Raees, Vassilis Javed Khan","submitted_at":"2026-05-16T20:51:37Z","abstract_excerpt":"In sales and marketing, customer segmentation is an important tool for formulating strategies for customer treatment and supply chain management. Most segmentation implementations rely on limited criteria, such as recency, frequency, and monetary (RFM) modeling, which often fail to capture complex business interactions. In this work, we design and evaluate a dynamic multi-criteria decision-making (MCDM) method in a business-to-business (B2B) manufacturing context by 1) extending RFM to dimensions of stability and growth, 2) integrating an adaptive and analytical hierarchical process to match b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17151","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/2605.17151/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T22:33:23.765681Z","status":"skipped","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T22:01:57.998237Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"4c8d59f6ab75d27e530946c336462a789bbf4768d5977a215a9835e9e46b765f"},"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":"2026-05-20T00:03:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L4V47PvqguQ7+Ktjvnlo1Cvv90iyT5a/q/zUohZHaX+u9d5ioQpROh9aTMM8hJdBUzH1py9PXuEKusGVWnsKAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T04:20:24.254273Z"},"content_sha256":"d30755fc2dd3edeeaa89eefefb6ac1172f509fb3cc156fe4c9f35cc6314c8133","schema_version":"1.0","event_id":"sha256:d30755fc2dd3edeeaa89eefefb6ac1172f509fb3cc156fe4c9f35cc6314c8133"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LO77JIL3FSPSEP2RNTURBIJUU2/bundle.json","state_url":"https://pith.science/pith/LO77JIL3FSPSEP2RNTURBIJUU2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LO77JIL3FSPSEP2RNTURBIJUU2/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":"2026-06-10T04:20:24Z","links":{"resolver":"https://pith.science/pith/LO77JIL3FSPSEP2RNTURBIJUU2","bundle":"https://pith.science/pith/LO77JIL3FSPSEP2RNTURBIJUU2/bundle.json","state":"https://pith.science/pith/LO77JIL3FSPSEP2RNTURBIJUU2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LO77JIL3FSPSEP2RNTURBIJUU2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LO77JIL3FSPSEP2RNTURBIJUU2","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":"4590afc1b129b5f7cec1314fa69be56975d716ee2f87c91fc53e5c1c1a50091b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-16T20:51:37Z","title_canon_sha256":"0c207cf3d90919a1ad8240f78f710358c5820090ff9a2ff5d7bd4123ec858385"},"schema_version":"1.0","source":{"id":"2605.17151","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17151","created_at":"2026-05-20T00:03:42Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17151v1","created_at":"2026-05-20T00:03:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17151","created_at":"2026-05-20T00:03:42Z"},{"alias_kind":"pith_short_12","alias_value":"LO77JIL3FSPS","created_at":"2026-05-20T00:03:42Z"},{"alias_kind":"pith_short_16","alias_value":"LO77JIL3FSPSEP2R","created_at":"2026-05-20T00:03:42Z"},{"alias_kind":"pith_short_8","alias_value":"LO77JIL3","created_at":"2026-05-20T00:03:42Z"}],"graph_snapshots":[{"event_id":"sha256:d30755fc2dd3edeeaa89eefefb6ac1172f509fb3cc156fe4c9f35cc6314c8133","target":"graph","created_at":"2026-05-20T00:03:42Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T22:33:23.765681Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T22:01:57.998237Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.17151/integrity.json","findings":[],"snapshot_sha256":"4c8d59f6ab75d27e530946c336462a789bbf4768d5977a215a9835e9e46b765f","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In sales and marketing, customer segmentation is an important tool for formulating strategies for customer treatment and supply chain management. Most segmentation implementations rely on limited criteria, such as recency, frequency, and monetary (RFM) modeling, which often fail to capture complex business interactions. In this work, we design and evaluate a dynamic multi-criteria decision-making (MCDM) method in a business-to-business (B2B) manufacturing context by 1) extending RFM to dimensions of stability and growth, 2) integrating an adaptive and analytical hierarchical process to match b","authors_text":"Konstantinos Papangelis, Muhammad Raees, Vassilis Javed Khan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-16T20:51:37Z","title":"An Analytical Multiple Criteria Framework for Temporal and Dynamic Business-to-Business Customer Segmentation in Manufacturing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17151","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:a82d7e02467a431da0deabfabb08fc5a895fbd5f5aad4e2f2d38f59253b32e8f","target":"record","created_at":"2026-05-20T00:03:42Z","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":"4590afc1b129b5f7cec1314fa69be56975d716ee2f87c91fc53e5c1c1a50091b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-16T20:51:37Z","title_canon_sha256":"0c207cf3d90919a1ad8240f78f710358c5820090ff9a2ff5d7bd4123ec858385"},"schema_version":"1.0","source":{"id":"2605.17151","kind":"arxiv","version":1}},"canonical_sha256":"5bbff4a17b2c9f223f516ce910a134a6a065e30df3ebf2d7960e245deec3a91f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5bbff4a17b2c9f223f516ce910a134a6a065e30df3ebf2d7960e245deec3a91f","first_computed_at":"2026-05-20T00:03:42.307031Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:03:42.307031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"48JkxW1+sQZQ/Ielf9oYBkxwrZOagqiiWEb7O32ZaRQeobU2orDgEu3ovkFaEVLALjvJixzXOLgQa3oIz+AnCA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:03:42.307810Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.17151","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a82d7e02467a431da0deabfabb08fc5a895fbd5f5aad4e2f2d38f59253b32e8f","sha256:d30755fc2dd3edeeaa89eefefb6ac1172f509fb3cc156fe4c9f35cc6314c8133"],"state_sha256":"a107bc48e94c007ebba5241040f47a6bb9e709381277a682cc97861e3930f427"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O5k6dvejPb+tZ9IYgQvNjVpezD0K0+TCcf4EiLbRNcB6zu+v1x/o0Fp3fIJ94adlkosfW997fKC3IWpVPMmvBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T04:20:24.258485Z","bundle_sha256":"c5f211e1c32924844d85cf3e59bcecdac3466419e3ed7c1fafcd92aed07b4031"}}