{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VWESSVPUG25WNDCUACJRUPEMXP","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":"50eb6cacd5d780b86dbe72d60185cb743118de05bcefb920e80789ee69ba058c","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-11-04T09:07:21Z","title_canon_sha256":"afa180b381ff790b7055e6db4859a0103dfcf550e24e6fac2f45240d58b5842a"},"schema_version":"1.0","source":{"id":"2511.05567","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.05567","created_at":"2026-06-30T01:16:25Z"},{"alias_kind":"arxiv_version","alias_value":"2511.05567v2","created_at":"2026-06-30T01:16:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.05567","created_at":"2026-06-30T01:16:25Z"},{"alias_kind":"pith_short_12","alias_value":"VWESSVPUG25W","created_at":"2026-06-30T01:16:25Z"},{"alias_kind":"pith_short_16","alias_value":"VWESSVPUG25WNDCU","created_at":"2026-06-30T01:16:25Z"},{"alias_kind":"pith_short_8","alias_value":"VWESSVPU","created_at":"2026-06-30T01:16:25Z"}],"graph_snapshots":[{"event_id":"sha256:257bb40d412a7cb275f45954b9e9f58b1195355b9bb51eb2dbaffe6385327515","target":"graph","created_at":"2026-06-30T01:16:25Z","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/2511.05567/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"An adaptive structural learning method of Restricted Boltzmann Machine (RBM) and Deep Belief Network (DBN) has been developed as one of prominent deep learning models. The neuron generation-annihilation algorithm in RBM and layer generation algorithm in DBN make an optimal network structure for given input during the learning. In this paper, our model is applied to an automatic recognition method of road network system, called RoadTracer. RoadTracer can generate a road map on the ground surface from aerial photograph data. A novel method of RoadTracer using the Teacher-Student based ensemble l","authors_text":"Shin Kamada, Takumi Ichimura","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.05567","kind":"arxiv","version":2},"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":"sha256:9582353533cce48c4cd80ccc85fd82ffcb9676b4df5df30d879f189339a3953e","target":"record","created_at":"2026-06-30T01:16:25Z","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":"50eb6cacd5d780b86dbe72d60185cb743118de05bcefb920e80789ee69ba058c","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-11-04T09:07:21Z","title_canon_sha256":"afa180b381ff790b7055e6db4859a0103dfcf550e24e6fac2f45240d58b5842a"},"schema_version":"1.0","source":{"id":"2511.05567","kind":"arxiv","version":2}},"canonical_sha256":"ad892955f436bb668c5400931a3c8cbbd308af7d2bc2ed14564f494bcea84185","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad892955f436bb668c5400931a3c8cbbd308af7d2bc2ed14564f494bcea84185","first_computed_at":"2026-06-30T01:16:25.882104Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:16:25.882104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n7ed4UO7Y1wIGgmZ12+syzSRnoFvoILnDGOlbBUC+VfSXWtTwk4l99CKt52mwmp8W2nUVmkFhri58jc1q0dYCQ==","signature_status":"signed_v1","signed_at":"2026-06-30T01:16:25.882981Z","signed_message":"canonical_sha256_bytes"},"source_id":"2511.05567","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9582353533cce48c4cd80ccc85fd82ffcb9676b4df5df30d879f189339a3953e","sha256:257bb40d412a7cb275f45954b9e9f58b1195355b9bb51eb2dbaffe6385327515"],"state_sha256":"8730b9f93a6db1600d9d72836cbf2ed26b3eb548eb9ce39c56b3a563487448e0"}