{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TXLVE4CXCQDFUHGO6ANGT7ERJB","short_pith_number":"pith:TXLVE4CX","canonical_record":{"source":{"id":"2308.14925","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"physics.med-ph","submitted_at":"2023-08-28T22:52:17Z","cross_cats_sorted":["cs.AI","q-bio.TO"],"title_canon_sha256":"96533a91b91508f4febb336f1ff6a8002757697ebaab01d9ac800a688e472c6e","abstract_canon_sha256":"e528525a0421b9ce0f7ffca466cb827e9c74859b6f6cb567df6864cf62b90a42"},"schema_version":"1.0"},"canonical_sha256":"9dd752705714065a1ccef01a69fc91487d361ec692fbb24ddcf48f9f9b2320a4","source":{"kind":"arxiv","id":"2308.14925","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.14925","created_at":"2026-07-05T06:45:41Z"},{"alias_kind":"arxiv_version","alias_value":"2308.14925v1","created_at":"2026-07-05T06:45:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.14925","created_at":"2026-07-05T06:45:41Z"},{"alias_kind":"pith_short_12","alias_value":"TXLVE4CXCQDF","created_at":"2026-07-05T06:45:41Z"},{"alias_kind":"pith_short_16","alias_value":"TXLVE4CXCQDFUHGO","created_at":"2026-07-05T06:45:41Z"},{"alias_kind":"pith_short_8","alias_value":"TXLVE4CX","created_at":"2026-07-05T06:45:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TXLVE4CXCQDFUHGO6ANGT7ERJB","target":"record","payload":{"canonical_record":{"source":{"id":"2308.14925","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"physics.med-ph","submitted_at":"2023-08-28T22:52:17Z","cross_cats_sorted":["cs.AI","q-bio.TO"],"title_canon_sha256":"96533a91b91508f4febb336f1ff6a8002757697ebaab01d9ac800a688e472c6e","abstract_canon_sha256":"e528525a0421b9ce0f7ffca466cb827e9c74859b6f6cb567df6864cf62b90a42"},"schema_version":"1.0"},"canonical_sha256":"9dd752705714065a1ccef01a69fc91487d361ec692fbb24ddcf48f9f9b2320a4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:45:41.258048Z","signature_b64":"TczJgKz6dLCdvdChj2eLDREN+9Fv0aA2dQPujG/8IrWg9Qz1t54NZjFaOnNhr+Xb5ISGmxONnga7LHD0Wr4MAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9dd752705714065a1ccef01a69fc91487d361ec692fbb24ddcf48f9f9b2320a4","last_reissued_at":"2026-07-05T06:45:41.257678Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:45:41.257678Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.14925","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":"2026-07-05T06:45:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8ASfY+NXgEkXh1uA5WbEImV1SaMHmnv4MHJ7N7WWKZCZfJdAiBmXcr0X2DVFmMlCaMakd0rZx9y7cCHq8fj7Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:05:02.080709Z"},"content_sha256":"866d66e7696f1c02baeac8c419c0185f11b728e68326396bda16a2b384529394","schema_version":"1.0","event_id":"sha256:866d66e7696f1c02baeac8c419c0185f11b728e68326396bda16a2b384529394"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TXLVE4CXCQDFUHGO6ANGT7ERJB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","q-bio.TO"],"primary_cat":"physics.med-ph","authors_text":"Brenna Vaughn, David A. Hormuth II, Guillermo Lorenzo, Hector Gomez, Jayashree Kalpathy-Cramer, Luis Solorio, Syed Rakin Ahmed, Thomas E. Yankeelov","submitted_at":"2023-08-28T22:52:17Z","abstract_excerpt":"Despite the remarkable advances in cancer diagnosis, treatment, and management that have occurred over the past decade, malignant tumors remain a major public health problem. Further progress in combating cancer may be enabled by personalizing the delivery of therapies according to the predicted response for each individual patient. The design of personalized therapies requires patient-specific information integrated into an appropriate mathematical model of tumor response. A fundamental barrier to realizing this paradigm is the current lack of a rigorous, yet practical, mathematical theory of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.14925","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/2308.14925/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":"2026-07-05T06:45:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0NP2hBerAIhg42TcouyhgWVR4z+Qs4fiHQ+NMGosOhmanGp5T3UcduCtOwJdDh907wFMGArA06POKByXWkxVDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:05:02.081595Z"},"content_sha256":"59524372a039b18fb3167fea828d8f15b08b27f7e20e178adf7d1560613eff86","schema_version":"1.0","event_id":"sha256:59524372a039b18fb3167fea828d8f15b08b27f7e20e178adf7d1560613eff86"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TXLVE4CXCQDFUHGO6ANGT7ERJB/bundle.json","state_url":"https://pith.science/pith/TXLVE4CXCQDFUHGO6ANGT7ERJB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TXLVE4CXCQDFUHGO6ANGT7ERJB/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":"2026-08-04T10:05:02Z","links":{"resolver":"https://pith.science/pith/TXLVE4CXCQDFUHGO6ANGT7ERJB","bundle":"https://pith.science/pith/TXLVE4CXCQDFUHGO6ANGT7ERJB/bundle.json","state":"https://pith.science/pith/TXLVE4CXCQDFUHGO6ANGT7ERJB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TXLVE4CXCQDFUHGO6ANGT7ERJB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TXLVE4CXCQDFUHGO6ANGT7ERJB","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":"e528525a0421b9ce0f7ffca466cb827e9c74859b6f6cb567df6864cf62b90a42","cross_cats_sorted":["cs.AI","q-bio.TO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"physics.med-ph","submitted_at":"2023-08-28T22:52:17Z","title_canon_sha256":"96533a91b91508f4febb336f1ff6a8002757697ebaab01d9ac800a688e472c6e"},"schema_version":"1.0","source":{"id":"2308.14925","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.14925","created_at":"2026-07-05T06:45:41Z"},{"alias_kind":"arxiv_version","alias_value":"2308.14925v1","created_at":"2026-07-05T06:45:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.14925","created_at":"2026-07-05T06:45:41Z"},{"alias_kind":"pith_short_12","alias_value":"TXLVE4CXCQDF","created_at":"2026-07-05T06:45:41Z"},{"alias_kind":"pith_short_16","alias_value":"TXLVE4CXCQDFUHGO","created_at":"2026-07-05T06:45:41Z"},{"alias_kind":"pith_short_8","alias_value":"TXLVE4CX","created_at":"2026-07-05T06:45:41Z"}],"graph_snapshots":[{"event_id":"sha256:59524372a039b18fb3167fea828d8f15b08b27f7e20e178adf7d1560613eff86","target":"graph","created_at":"2026-07-05T06:45:41Z","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/2308.14925/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the remarkable advances in cancer diagnosis, treatment, and management that have occurred over the past decade, malignant tumors remain a major public health problem. Further progress in combating cancer may be enabled by personalizing the delivery of therapies according to the predicted response for each individual patient. The design of personalized therapies requires patient-specific information integrated into an appropriate mathematical model of tumor response. A fundamental barrier to realizing this paradigm is the current lack of a rigorous, yet practical, mathematical theory of","authors_text":"Brenna Vaughn, David A. Hormuth II, Guillermo Lorenzo, Hector Gomez, Jayashree Kalpathy-Cramer, Luis Solorio, Syed Rakin Ahmed, Thomas E. Yankeelov","cross_cats":["cs.AI","q-bio.TO"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"physics.med-ph","submitted_at":"2023-08-28T22:52:17Z","title":"Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.14925","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":"sha256:866d66e7696f1c02baeac8c419c0185f11b728e68326396bda16a2b384529394","target":"record","created_at":"2026-07-05T06:45:41Z","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":"e528525a0421b9ce0f7ffca466cb827e9c74859b6f6cb567df6864cf62b90a42","cross_cats_sorted":["cs.AI","q-bio.TO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"physics.med-ph","submitted_at":"2023-08-28T22:52:17Z","title_canon_sha256":"96533a91b91508f4febb336f1ff6a8002757697ebaab01d9ac800a688e472c6e"},"schema_version":"1.0","source":{"id":"2308.14925","kind":"arxiv","version":1}},"canonical_sha256":"9dd752705714065a1ccef01a69fc91487d361ec692fbb24ddcf48f9f9b2320a4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9dd752705714065a1ccef01a69fc91487d361ec692fbb24ddcf48f9f9b2320a4","first_computed_at":"2026-07-05T06:45:41.257678Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:45:41.257678Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TczJgKz6dLCdvdChj2eLDREN+9Fv0aA2dQPujG/8IrWg9Qz1t54NZjFaOnNhr+Xb5ISGmxONnga7LHD0Wr4MAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:45:41.258048Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.14925","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:866d66e7696f1c02baeac8c419c0185f11b728e68326396bda16a2b384529394","sha256:59524372a039b18fb3167fea828d8f15b08b27f7e20e178adf7d1560613eff86"],"state_sha256":"0ec55069cd14e4149119b077867422134f863a0ced2f3549ec27148f66878620"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WPIT794vMc8J5HmcC5evS7zx35Hfd2CDKUA6efQPnuGIKbRKLpS+phaINf3v0BnE7HLiYHetTUEc7p1cBqJIBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T10:05:02.088153Z","bundle_sha256":"3ab7b1a0a2d95be572bebb6cc0b0525b55307ba00f294e23ea3cffa38b25d219"}}