{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:FTT76RS2ACDERP2ZUZRN4BVBMH","short_pith_number":"pith:FTT76RS2","canonical_record":{"source":{"id":"2505.15742","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-21T16:49:47Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"71861f3d2f6ac31619be70dae73c19dde64cdf88dd7409b1122333b1da5a2da6","abstract_canon_sha256":"125aa40be31f75410601299413c33f02ca27f2de600bff9190846f9e7b6bd2a3"},"schema_version":"1.0"},"canonical_sha256":"2ce7ff465a008648bf59a662de06a161f06ed5cc025e6073416e57aceeef8944","source":{"kind":"arxiv","id":"2505.15742","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15742","created_at":"2026-07-05T11:06:57Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15742v1","created_at":"2026-07-05T11:06:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15742","created_at":"2026-07-05T11:06:57Z"},{"alias_kind":"pith_short_12","alias_value":"FTT76RS2ACDE","created_at":"2026-07-05T11:06:57Z"},{"alias_kind":"pith_short_16","alias_value":"FTT76RS2ACDERP2Z","created_at":"2026-07-05T11:06:57Z"},{"alias_kind":"pith_short_8","alias_value":"FTT76RS2","created_at":"2026-07-05T11:06:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:FTT76RS2ACDERP2ZUZRN4BVBMH","target":"record","payload":{"canonical_record":{"source":{"id":"2505.15742","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-21T16:49:47Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"71861f3d2f6ac31619be70dae73c19dde64cdf88dd7409b1122333b1da5a2da6","abstract_canon_sha256":"125aa40be31f75410601299413c33f02ca27f2de600bff9190846f9e7b6bd2a3"},"schema_version":"1.0"},"canonical_sha256":"2ce7ff465a008648bf59a662de06a161f06ed5cc025e6073416e57aceeef8944","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:06:57.265311Z","signature_b64":"Gq/QYpKOEhPRk96hRBsI3e2J3DLh5yvIp27hO7J5wdqTl+cewc+R4T0evL19xeGd2vC143Mhrn6Cxb6d1AClDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ce7ff465a008648bf59a662de06a161f06ed5cc025e6073416e57aceeef8944","last_reissued_at":"2026-07-05T11:06:57.264835Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:06:57.264835Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.15742","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":"2026-07-05T11:06:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RAlS4sHtGU4zqyGjFDsWMrWc7T4fsoxkKdpJ60H9sa8MiRmf0vjhiFHVsIcNyQwYx7WdnB27netMfsTX7BV+AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:51:03.038850Z"},"content_sha256":"90636432f0a52f21e802d5ebf7677a6017ececfa98c8325baec19cf7fd4bb823","schema_version":"1.0","event_id":"sha256:90636432f0a52f21e802d5ebf7677a6017ececfa98c8325baec19cf7fd4bb823"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:FTT76RS2ACDERP2ZUZRN4BVBMH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neuro-Argumentative Learning with Case-Based Reasoning","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Adam Gould, Francesca Toni","submitted_at":"2025-05-21T16:49:47Z","abstract_excerpt":"We introduce Gradual Abstract Argumentation for Case-Based Reasoning (Gradual AA-CBR), a data-driven, neurosymbolic classification model in which the outcome is determined by an argumentation debate structure that is learned simultaneously with neural-based feature extractors. Each argument in the debate is an observed case from the training data, favouring their labelling. Cases attack or support those with opposing or agreeing labellings, with the strength of each argument and relationship learned through gradient-based methods. This argumentation debate structure provides human-aligned reas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15742","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/2505.15742/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":"2026-07-05T11:06:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/9SK06khm8/uk/amyjkL3+qYx3gn0iL+wZxide10FHsYC11DKzjp0ltYIccazXOV72YyDwBd6z+N8rLVnDo0CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:51:03.039359Z"},"content_sha256":"934b8ecc3982f79a870f61b11a3714505f921e2296b2877d495f16cf80a9a82b","schema_version":"1.0","event_id":"sha256:934b8ecc3982f79a870f61b11a3714505f921e2296b2877d495f16cf80a9a82b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FTT76RS2ACDERP2ZUZRN4BVBMH/bundle.json","state_url":"https://pith.science/pith/FTT76RS2ACDERP2ZUZRN4BVBMH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FTT76RS2ACDERP2ZUZRN4BVBMH/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":"2026-08-08T16:51:03Z","links":{"resolver":"https://pith.science/pith/FTT76RS2ACDERP2ZUZRN4BVBMH","bundle":"https://pith.science/pith/FTT76RS2ACDERP2ZUZRN4BVBMH/bundle.json","state":"https://pith.science/pith/FTT76RS2ACDERP2ZUZRN4BVBMH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FTT76RS2ACDERP2ZUZRN4BVBMH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FTT76RS2ACDERP2ZUZRN4BVBMH","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":"125aa40be31f75410601299413c33f02ca27f2de600bff9190846f9e7b6bd2a3","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-21T16:49:47Z","title_canon_sha256":"71861f3d2f6ac31619be70dae73c19dde64cdf88dd7409b1122333b1da5a2da6"},"schema_version":"1.0","source":{"id":"2505.15742","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15742","created_at":"2026-07-05T11:06:57Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15742v1","created_at":"2026-07-05T11:06:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15742","created_at":"2026-07-05T11:06:57Z"},{"alias_kind":"pith_short_12","alias_value":"FTT76RS2ACDE","created_at":"2026-07-05T11:06:57Z"},{"alias_kind":"pith_short_16","alias_value":"FTT76RS2ACDERP2Z","created_at":"2026-07-05T11:06:57Z"},{"alias_kind":"pith_short_8","alias_value":"FTT76RS2","created_at":"2026-07-05T11:06:57Z"}],"graph_snapshots":[{"event_id":"sha256:934b8ecc3982f79a870f61b11a3714505f921e2296b2877d495f16cf80a9a82b","target":"graph","created_at":"2026-07-05T11:06:57Z","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/2505.15742/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce Gradual Abstract Argumentation for Case-Based Reasoning (Gradual AA-CBR), a data-driven, neurosymbolic classification model in which the outcome is determined by an argumentation debate structure that is learned simultaneously with neural-based feature extractors. Each argument in the debate is an observed case from the training data, favouring their labelling. Cases attack or support those with opposing or agreeing labellings, with the strength of each argument and relationship learned through gradient-based methods. This argumentation debate structure provides human-aligned reas","authors_text":"Adam Gould, Francesca Toni","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-21T16:49:47Z","title":"Neuro-Argumentative Learning with Case-Based Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15742","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":"sha256:90636432f0a52f21e802d5ebf7677a6017ececfa98c8325baec19cf7fd4bb823","target":"record","created_at":"2026-07-05T11:06:57Z","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":"125aa40be31f75410601299413c33f02ca27f2de600bff9190846f9e7b6bd2a3","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-21T16:49:47Z","title_canon_sha256":"71861f3d2f6ac31619be70dae73c19dde64cdf88dd7409b1122333b1da5a2da6"},"schema_version":"1.0","source":{"id":"2505.15742","kind":"arxiv","version":1}},"canonical_sha256":"2ce7ff465a008648bf59a662de06a161f06ed5cc025e6073416e57aceeef8944","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ce7ff465a008648bf59a662de06a161f06ed5cc025e6073416e57aceeef8944","first_computed_at":"2026-07-05T11:06:57.264835Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:57.264835Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Gq/QYpKOEhPRk96hRBsI3e2J3DLh5yvIp27hO7J5wdqTl+cewc+R4T0evL19xeGd2vC143Mhrn6Cxb6d1AClDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:57.265311Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.15742","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:90636432f0a52f21e802d5ebf7677a6017ececfa98c8325baec19cf7fd4bb823","sha256:934b8ecc3982f79a870f61b11a3714505f921e2296b2877d495f16cf80a9a82b"],"state_sha256":"d0ee65fba6df52a3a2bbc93dbb7a34ce205aec77bfabe17235f22954f30f8320"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uzaVM/NSiOvnytmynr20hcXYnbqE5XZsYATE7TOgI4ONACEdgJobXujazqkyoO2viWRsHNxDc3qN5PI44fmVBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T16:51:03.042757Z","bundle_sha256":"7521002b1246da20eac3ecf1795e0e3921d172ca2126356b44fdc65853672883"}}