{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:K6XFN5RHSF226QUSFPH5TMNJBE","short_pith_number":"pith:K6XFN5RH","canonical_record":{"source":{"id":"2412.13891","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T14:32:30Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"b4ec75ea9b5a82c296d7cb95649b1abe92f0b853581889f0afac573c7861e0de","abstract_canon_sha256":"f392db687ac5fafa0314e773fecaa3c3f0ae67426fb643933c725200ab77cf85"},"schema_version":"1.0"},"canonical_sha256":"57ae56f6279175af42922bcfd9b1a9093cfe24f920012097be5d96088e559e5f","source":{"kind":"arxiv","id":"2412.13891","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13891","created_at":"2026-07-05T09:51:10Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13891v1","created_at":"2026-07-05T09:51:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13891","created_at":"2026-07-05T09:51:10Z"},{"alias_kind":"pith_short_12","alias_value":"K6XFN5RHSF22","created_at":"2026-07-05T09:51:10Z"},{"alias_kind":"pith_short_16","alias_value":"K6XFN5RHSF226QUS","created_at":"2026-07-05T09:51:10Z"},{"alias_kind":"pith_short_8","alias_value":"K6XFN5RH","created_at":"2026-07-05T09:51:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:K6XFN5RHSF226QUSFPH5TMNJBE","target":"record","payload":{"canonical_record":{"source":{"id":"2412.13891","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T14:32:30Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"b4ec75ea9b5a82c296d7cb95649b1abe92f0b853581889f0afac573c7861e0de","abstract_canon_sha256":"f392db687ac5fafa0314e773fecaa3c3f0ae67426fb643933c725200ab77cf85"},"schema_version":"1.0"},"canonical_sha256":"57ae56f6279175af42922bcfd9b1a9093cfe24f920012097be5d96088e559e5f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:10.383630Z","signature_b64":"azOkW/876pgB1JaXKMbvXBBdnr3mM5vkErwF7okNqNEHN0L6rxDqDIzyhumQzksozmfkivJrUjD5qs8GsctNDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"57ae56f6279175af42922bcfd9b1a9093cfe24f920012097be5d96088e559e5f","last_reissued_at":"2026-07-05T09:51:10.383074Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:10.383074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.13891","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":"2026-07-05T09:51:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yuOK+wDbz0oaMHY4PA2LcVFP20EotWc/1n+Z5ZGxsnkJ4rZqUcoDLABTbMH90LP1lDTKwVp1hbjAVdgWLuInBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:26:56.119554Z"},"content_sha256":"7ed879e51c8bd05861eb9cdf0dbe935e339deb4c467fb7563efb6d2fc05ad259","schema_version":"1.0","event_id":"sha256:7ed879e51c8bd05861eb9cdf0dbe935e339deb4c467fb7563efb6d2fc05ad259"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:K6XFN5RHSF226QUSFPH5TMNJBE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graph-Driven Models for Gas Mixture Identification and Concentration Estimation on Heterogeneous Sensor Array Signals","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.LG","authors_text":"Ding Wang, Guoqing Gu, Huilin Yin, Lei Wang, Wenwen Zhang, Zhiping Lin","submitted_at":"2024-12-18T14:32:30Z","abstract_excerpt":"Accurately identifying gas mixtures and estimating their concentrations are crucial across various industrial applications using gas sensor arrays. However, existing models face challenges in generalizing across heterogeneous datasets, which limits their scalability and practical applicability. To address this problem, this study develops two novel deep-learning models that integrate temporal graph structures for enhanced performance: a Graph-Enhanced Capsule Network (GraphCapsNet) employing dynamic routing for gas mixture classification and a Graph-Enhanced Attention Network (GraphANet) lever"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13891","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/2412.13891/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":"2026-07-05T09:51:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nsHSLxJ5onwoh8QPPyjsO9NN2nqpABfGpQ3h4NArkSGhYmTR9gX8Kx8BWnPxRFAkrxF3Mx8t1R2iIHIWrKQhAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:26:56.120035Z"},"content_sha256":"240f7984ca09a13528714935ef2c8dd4bcbdeada48a003f9c63c78534dd12f7d","schema_version":"1.0","event_id":"sha256:240f7984ca09a13528714935ef2c8dd4bcbdeada48a003f9c63c78534dd12f7d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K6XFN5RHSF226QUSFPH5TMNJBE/bundle.json","state_url":"https://pith.science/pith/K6XFN5RHSF226QUSFPH5TMNJBE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K6XFN5RHSF226QUSFPH5TMNJBE/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":"2026-08-06T12:26:56Z","links":{"resolver":"https://pith.science/pith/K6XFN5RHSF226QUSFPH5TMNJBE","bundle":"https://pith.science/pith/K6XFN5RHSF226QUSFPH5TMNJBE/bundle.json","state":"https://pith.science/pith/K6XFN5RHSF226QUSFPH5TMNJBE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K6XFN5RHSF226QUSFPH5TMNJBE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:K6XFN5RHSF226QUSFPH5TMNJBE","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":"f392db687ac5fafa0314e773fecaa3c3f0ae67426fb643933c725200ab77cf85","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T14:32:30Z","title_canon_sha256":"b4ec75ea9b5a82c296d7cb95649b1abe92f0b853581889f0afac573c7861e0de"},"schema_version":"1.0","source":{"id":"2412.13891","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13891","created_at":"2026-07-05T09:51:10Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13891v1","created_at":"2026-07-05T09:51:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13891","created_at":"2026-07-05T09:51:10Z"},{"alias_kind":"pith_short_12","alias_value":"K6XFN5RHSF22","created_at":"2026-07-05T09:51:10Z"},{"alias_kind":"pith_short_16","alias_value":"K6XFN5RHSF226QUS","created_at":"2026-07-05T09:51:10Z"},{"alias_kind":"pith_short_8","alias_value":"K6XFN5RH","created_at":"2026-07-05T09:51:10Z"}],"graph_snapshots":[{"event_id":"sha256:240f7984ca09a13528714935ef2c8dd4bcbdeada48a003f9c63c78534dd12f7d","target":"graph","created_at":"2026-07-05T09:51:10Z","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/2412.13891/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurately identifying gas mixtures and estimating their concentrations are crucial across various industrial applications using gas sensor arrays. However, existing models face challenges in generalizing across heterogeneous datasets, which limits their scalability and practical applicability. To address this problem, this study develops two novel deep-learning models that integrate temporal graph structures for enhanced performance: a Graph-Enhanced Capsule Network (GraphCapsNet) employing dynamic routing for gas mixture classification and a Graph-Enhanced Attention Network (GraphANet) lever","authors_text":"Ding Wang, Guoqing Gu, Huilin Yin, Lei Wang, Wenwen Zhang, Zhiping Lin","cross_cats":["eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T14:32:30Z","title":"Graph-Driven Models for Gas Mixture Identification and Concentration Estimation on Heterogeneous Sensor Array Signals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13891","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":"sha256:7ed879e51c8bd05861eb9cdf0dbe935e339deb4c467fb7563efb6d2fc05ad259","target":"record","created_at":"2026-07-05T09:51:10Z","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":"f392db687ac5fafa0314e773fecaa3c3f0ae67426fb643933c725200ab77cf85","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T14:32:30Z","title_canon_sha256":"b4ec75ea9b5a82c296d7cb95649b1abe92f0b853581889f0afac573c7861e0de"},"schema_version":"1.0","source":{"id":"2412.13891","kind":"arxiv","version":1}},"canonical_sha256":"57ae56f6279175af42922bcfd9b1a9093cfe24f920012097be5d96088e559e5f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"57ae56f6279175af42922bcfd9b1a9093cfe24f920012097be5d96088e559e5f","first_computed_at":"2026-07-05T09:51:10.383074Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:10.383074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"azOkW/876pgB1JaXKMbvXBBdnr3mM5vkErwF7okNqNEHN0L6rxDqDIzyhumQzksozmfkivJrUjD5qs8GsctNDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:10.383630Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.13891","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ed879e51c8bd05861eb9cdf0dbe935e339deb4c467fb7563efb6d2fc05ad259","sha256:240f7984ca09a13528714935ef2c8dd4bcbdeada48a003f9c63c78534dd12f7d"],"state_sha256":"9908054249c4e069c0610271051fa6b23d999e1f56305665908fba04bb4d27d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QGPj4/YbOyVc8Rytb8KJCfCutA+S54uLTGZHfMC+4MooGIC4GRxKyttwoUW4EOWgJl45iPQ4C45qjPrBbudGAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T12:26:56.127870Z","bundle_sha256":"bfe5bcfeff0bea6f61bd58cd9e4cd121f5aebf2c03ef1bfdfe23108afe210753"}}