{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7BAFE6PYHW24AWNM74LZGWSBA2","short_pith_number":"pith:7BAFE6PY","canonical_record":{"source":{"id":"2506.04271","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2025-06-03T16:30:17Z","cross_cats_sorted":[],"title_canon_sha256":"dad7c7b4a8c282ba821bb1f20c1f9aee3246a8e9ab96692843add3b52243ddd9","abstract_canon_sha256":"1988ccbf9ef91e97373525aad623ce03b239e328e061d6e18480f92bf630d557"},"schema_version":"1.0"},"canonical_sha256":"f8405279f83db5c059acff17935a41069c2fdfcd4dd63f988aac0a21d14a8d29","source":{"kind":"arxiv","id":"2506.04271","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.04271","created_at":"2026-07-05T11:16:11Z"},{"alias_kind":"arxiv_version","alias_value":"2506.04271v1","created_at":"2026-07-05T11:16:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.04271","created_at":"2026-07-05T11:16:11Z"},{"alias_kind":"pith_short_12","alias_value":"7BAFE6PYHW24","created_at":"2026-07-05T11:16:11Z"},{"alias_kind":"pith_short_16","alias_value":"7BAFE6PYHW24AWNM","created_at":"2026-07-05T11:16:11Z"},{"alias_kind":"pith_short_8","alias_value":"7BAFE6PY","created_at":"2026-07-05T11:16:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7BAFE6PYHW24AWNM74LZGWSBA2","target":"record","payload":{"canonical_record":{"source":{"id":"2506.04271","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2025-06-03T16:30:17Z","cross_cats_sorted":[],"title_canon_sha256":"dad7c7b4a8c282ba821bb1f20c1f9aee3246a8e9ab96692843add3b52243ddd9","abstract_canon_sha256":"1988ccbf9ef91e97373525aad623ce03b239e328e061d6e18480f92bf630d557"},"schema_version":"1.0"},"canonical_sha256":"f8405279f83db5c059acff17935a41069c2fdfcd4dd63f988aac0a21d14a8d29","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:16:11.339902Z","signature_b64":"kdBb49Jaf3PFYFGNx3r895NBg+Ww8O+QuKuyPHM/0P85tV3pXyY0mW9hGWBLA51BlVa+AGaQMLYAo7TSheM/Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f8405279f83db5c059acff17935a41069c2fdfcd4dd63f988aac0a21d14a8d29","last_reissued_at":"2026-07-05T11:16:11.339220Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:16:11.339220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.04271","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":"2026-07-05T11:16:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I8jOSXOVheUkjsNmXkSYFcnmOQF56OwPj9Af5K1u+s+b0Ek2Ctzm9ixzmXiejPwuY0R/EGNLjDZYEzLBVKpPDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:51:50.028594Z"},"content_sha256":"2b3c6f64501699a179e138361fd2f1afb1e13dcb993056d79eaf409a7bf5f7d3","schema_version":"1.0","event_id":"sha256:2b3c6f64501699a179e138361fd2f1afb1e13dcb993056d79eaf409a7bf5f7d3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7BAFE6PYHW24AWNM74LZGWSBA2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ExDiff: A Framework for Simulating Diffusion Processes on Complex Networks with Explainable AI Integration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Annamaria Defilippo, Barbara Puccio, Pierangelo Veltri, Pietro Hiram Guzzi, Ugo Lomoio","submitted_at":"2025-06-03T16:30:17Z","abstract_excerpt":"Understanding and controlling diffusion processes in complex networks is critical across domains ranging from epidemiology to information science. Here, we present ExDiff, an interactive and modular computational framework that integrates network simulation, graph neural networks (GNNs), and explainable artificial intelligence (XAI) to model and interpret diffusion dynamics. ExDiff combines classical compartmental models with deep learning techniques to capture both the structural and temporal characteristics of diffusion across diverse network topologies. The framework features dedicated modu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.04271","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/2506.04271/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":"2026-07-05T11:16:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OKJp2E3z4iGISNi6TFUSyo10gP7zPAm7LiraXArb8TDcU268AmuAFlob4IbDWAs5oclMauUpPEL8n4cOcYEgDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:51:50.029084Z"},"content_sha256":"60a128d8b32d20ff64f194e89b822a07c0b3201db2ae8ccde07db7fb2ca6934b","schema_version":"1.0","event_id":"sha256:60a128d8b32d20ff64f194e89b822a07c0b3201db2ae8ccde07db7fb2ca6934b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7BAFE6PYHW24AWNM74LZGWSBA2/bundle.json","state_url":"https://pith.science/pith/7BAFE6PYHW24AWNM74LZGWSBA2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7BAFE6PYHW24AWNM74LZGWSBA2/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":"2026-08-07T23:51:50Z","links":{"resolver":"https://pith.science/pith/7BAFE6PYHW24AWNM74LZGWSBA2","bundle":"https://pith.science/pith/7BAFE6PYHW24AWNM74LZGWSBA2/bundle.json","state":"https://pith.science/pith/7BAFE6PYHW24AWNM74LZGWSBA2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7BAFE6PYHW24AWNM74LZGWSBA2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7BAFE6PYHW24AWNM74LZGWSBA2","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":"1988ccbf9ef91e97373525aad623ce03b239e328e061d6e18480f92bf630d557","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2025-06-03T16:30:17Z","title_canon_sha256":"dad7c7b4a8c282ba821bb1f20c1f9aee3246a8e9ab96692843add3b52243ddd9"},"schema_version":"1.0","source":{"id":"2506.04271","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.04271","created_at":"2026-07-05T11:16:11Z"},{"alias_kind":"arxiv_version","alias_value":"2506.04271v1","created_at":"2026-07-05T11:16:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.04271","created_at":"2026-07-05T11:16:11Z"},{"alias_kind":"pith_short_12","alias_value":"7BAFE6PYHW24","created_at":"2026-07-05T11:16:11Z"},{"alias_kind":"pith_short_16","alias_value":"7BAFE6PYHW24AWNM","created_at":"2026-07-05T11:16:11Z"},{"alias_kind":"pith_short_8","alias_value":"7BAFE6PY","created_at":"2026-07-05T11:16:11Z"}],"graph_snapshots":[{"event_id":"sha256:60a128d8b32d20ff64f194e89b822a07c0b3201db2ae8ccde07db7fb2ca6934b","target":"graph","created_at":"2026-07-05T11:16:11Z","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/2506.04271/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Understanding and controlling diffusion processes in complex networks is critical across domains ranging from epidemiology to information science. Here, we present ExDiff, an interactive and modular computational framework that integrates network simulation, graph neural networks (GNNs), and explainable artificial intelligence (XAI) to model and interpret diffusion dynamics. ExDiff combines classical compartmental models with deep learning techniques to capture both the structural and temporal characteristics of diffusion across diverse network topologies. The framework features dedicated modu","authors_text":"Annamaria Defilippo, Barbara Puccio, Pierangelo Veltri, Pietro Hiram Guzzi, Ugo Lomoio","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2025-06-03T16:30:17Z","title":"ExDiff: A Framework for Simulating Diffusion Processes on Complex Networks with Explainable AI Integration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.04271","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":"sha256:2b3c6f64501699a179e138361fd2f1afb1e13dcb993056d79eaf409a7bf5f7d3","target":"record","created_at":"2026-07-05T11:16:11Z","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":"1988ccbf9ef91e97373525aad623ce03b239e328e061d6e18480f92bf630d557","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2025-06-03T16:30:17Z","title_canon_sha256":"dad7c7b4a8c282ba821bb1f20c1f9aee3246a8e9ab96692843add3b52243ddd9"},"schema_version":"1.0","source":{"id":"2506.04271","kind":"arxiv","version":1}},"canonical_sha256":"f8405279f83db5c059acff17935a41069c2fdfcd4dd63f988aac0a21d14a8d29","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f8405279f83db5c059acff17935a41069c2fdfcd4dd63f988aac0a21d14a8d29","first_computed_at":"2026-07-05T11:16:11.339220Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:16:11.339220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kdBb49Jaf3PFYFGNx3r895NBg+Ww8O+QuKuyPHM/0P85tV3pXyY0mW9hGWBLA51BlVa+AGaQMLYAo7TSheM/Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:16:11.339902Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.04271","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b3c6f64501699a179e138361fd2f1afb1e13dcb993056d79eaf409a7bf5f7d3","sha256:60a128d8b32d20ff64f194e89b822a07c0b3201db2ae8ccde07db7fb2ca6934b"],"state_sha256":"c188589bb58e8672e9b18eedc01d10c7f2f501bf263462d504cca2b3a04852a2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gdkAkBEmjfpVWppbGCdUbgcJX9O/JU1svOq6DYDmhT1I+RQu1t94+wAgPnBM7L/w20BS4zYWSHFRptYKkKTlCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T23:51:50.033093Z","bundle_sha256":"6089d1363146ccc7e9f7a7821161bccad1f8c1eeabd539873e0cbb4f3a34d1b3"}}