{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:6CAORRCHMNQL77BCQ7ZQSCK6HC","short_pith_number":"pith:6CAORRCH","schema_version":"1.0","canonical_sha256":"f080e8c4476360bffc2287f309095e38806c5f402928f158051deb61c0c565eb","source":{"kind":"arxiv","id":"1505.00660","version":1},"attestation_state":"computed","paper":{"title":"A stochastic model of B cell affinity maturation and a network model of immune memory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.CB"],"primary_cat":"q-bio.MN","authors_text":"G\\'abor Tusn\\'ady, L\\'aszl\\'o Varga, Tam\\'as Szabados, Tibor Bak\\'acs","submitted_at":"2015-05-04T14:42:35Z","abstract_excerpt":"Many events in the vertebrate immune system are influenced by some element of chance. The objective of the present work is to describe affinity maturation of B lymphocytes (in which random events are perhaps the most characteristic), and to study a possible network model of immune memory. In our model stochastic processes govern all events. A major novelty of this approach is that it permits studying random variations in the immune process. Four basic components are simulated in the model: non-immune self cells, nonself cells (pathogens), B lymphocytes, and bone marrow cells that produce naive"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1505.00660","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.MN","submitted_at":"2015-05-04T14:42:35Z","cross_cats_sorted":["q-bio.CB"],"title_canon_sha256":"e136fedcd1cb538173c3bce0c31c0545313b37418952a9f315845ce56815ae1f","abstract_canon_sha256":"44da53dea8313a026d1b3f4f27d3e19779d91adb97fd0f5151c24395f113ddc9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:17:02.226666Z","signature_b64":"Wczt7SG15jHrGf+B1BjMoywJjWoyepBUCrzu8cNROkC0Bu9npK15PM3drLjDlKz540yw7ivt//E7MT/rQ4+zCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f080e8c4476360bffc2287f309095e38806c5f402928f158051deb61c0c565eb","last_reissued_at":"2026-05-18T02:17:02.225909Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:17:02.225909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A stochastic model of B cell affinity maturation and a network model of immune memory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.CB"],"primary_cat":"q-bio.MN","authors_text":"G\\'abor Tusn\\'ady, L\\'aszl\\'o Varga, Tam\\'as Szabados, Tibor Bak\\'acs","submitted_at":"2015-05-04T14:42:35Z","abstract_excerpt":"Many events in the vertebrate immune system are influenced by some element of chance. The objective of the present work is to describe affinity maturation of B lymphocytes (in which random events are perhaps the most characteristic), and to study a possible network model of immune memory. In our model stochastic processes govern all events. A major novelty of this approach is that it permits studying random variations in the immune process. Four basic components are simulated in the model: non-immune self cells, nonself cells (pathogens), B lymphocytes, and bone marrow cells that produce naive"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.00660","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1505.00660","created_at":"2026-05-18T02:17:02.226021+00:00"},{"alias_kind":"arxiv_version","alias_value":"1505.00660v1","created_at":"2026-05-18T02:17:02.226021+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.00660","created_at":"2026-05-18T02:17:02.226021+00:00"},{"alias_kind":"pith_short_12","alias_value":"6CAORRCHMNQL","created_at":"2026-05-18T12:29:07.941421+00:00"},{"alias_kind":"pith_short_16","alias_value":"6CAORRCHMNQL77BC","created_at":"2026-05-18T12:29:07.941421+00:00"},{"alias_kind":"pith_short_8","alias_value":"6CAORRCH","created_at":"2026-05-18T12:29:07.941421+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6CAORRCHMNQL77BCQ7ZQSCK6HC","json":"https://pith.science/pith/6CAORRCHMNQL77BCQ7ZQSCK6HC.json","graph_json":"https://pith.science/api/pith-number/6CAORRCHMNQL77BCQ7ZQSCK6HC/graph.json","events_json":"https://pith.science/api/pith-number/6CAORRCHMNQL77BCQ7ZQSCK6HC/events.json","paper":"https://pith.science/paper/6CAORRCH"},"agent_actions":{"view_html":"https://pith.science/pith/6CAORRCHMNQL77BCQ7ZQSCK6HC","download_json":"https://pith.science/pith/6CAORRCHMNQL77BCQ7ZQSCK6HC.json","view_paper":"https://pith.science/paper/6CAORRCH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1505.00660&json=true","fetch_graph":"https://pith.science/api/pith-number/6CAORRCHMNQL77BCQ7ZQSCK6HC/graph.json","fetch_events":"https://pith.science/api/pith-number/6CAORRCHMNQL77BCQ7ZQSCK6HC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6CAORRCHMNQL77BCQ7ZQSCK6HC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6CAORRCHMNQL77BCQ7ZQSCK6HC/action/storage_attestation","attest_author":"https://pith.science/pith/6CAORRCHMNQL77BCQ7ZQSCK6HC/action/author_attestation","sign_citation":"https://pith.science/pith/6CAORRCHMNQL77BCQ7ZQSCK6HC/action/citation_signature","submit_replication":"https://pith.science/pith/6CAORRCHMNQL77BCQ7ZQSCK6HC/action/replication_record"}},"created_at":"2026-05-18T02:17:02.226021+00:00","updated_at":"2026-05-18T02:17:02.226021+00:00"}