{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:SHBI2QI7GQPIXUY47QFGWHSNC6","short_pith_number":"pith:SHBI2QI7","canonical_record":{"source":{"id":"1710.04975","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2017-10-13T15:49:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8f44cedce170c719df715fd55a71382b590dd7a7fec2803fbf2df3a71799ae09","abstract_canon_sha256":"9179074bf8084a4ed65d4692dd9dc414c855eb27a52ec9d5455a28034f98094e"},"schema_version":"1.0"},"canonical_sha256":"91c28d411f341e8bd31cfc0a6b1e4d17af686a30d4713f9d4711fd8269192c52","source":{"kind":"arxiv","id":"1710.04975","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.04975","created_at":"2026-05-18T00:22:10Z"},{"alias_kind":"arxiv_version","alias_value":"1710.04975v3","created_at":"2026-05-18T00:22:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.04975","created_at":"2026-05-18T00:22:10Z"},{"alias_kind":"pith_short_12","alias_value":"SHBI2QI7GQPI","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"SHBI2QI7GQPIXUY4","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"SHBI2QI7","created_at":"2026-05-18T12:31:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:SHBI2QI7GQPIXUY47QFGWHSNC6","target":"record","payload":{"canonical_record":{"source":{"id":"1710.04975","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2017-10-13T15:49:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8f44cedce170c719df715fd55a71382b590dd7a7fec2803fbf2df3a71799ae09","abstract_canon_sha256":"9179074bf8084a4ed65d4692dd9dc414c855eb27a52ec9d5455a28034f98094e"},"schema_version":"1.0"},"canonical_sha256":"91c28d411f341e8bd31cfc0a6b1e4d17af686a30d4713f9d4711fd8269192c52","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:22:10.658216Z","signature_b64":"tM08OkjshPwH1icUrSHs4Q9DAtohyJSaPqOxCfVtHFI/mGwZ2ZQ++zOQD5neLwcVTPTtjpRu4zEvkMgjRm3YBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"91c28d411f341e8bd31cfc0a6b1e4d17af686a30d4713f9d4711fd8269192c52","last_reissued_at":"2026-05-18T00:22:10.657573Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:22:10.657573Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.04975","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:22:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qF9tkTx2gXIVWBCeOA6svl+xCUKzWnpr8uf6jihWr2yp1lKSKTkYu5z3hXV6axFJC1aCa26AS6rznOCDMdeGCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T16:56:51.376692Z"},"content_sha256":"c7a900fd39ad497260fdf2f6036e468616dd4fb8e30d745bc7f047f6fa296a5e","schema_version":"1.0","event_id":"sha256:c7a900fd39ad497260fdf2f6036e468616dd4fb8e30d745bc7f047f6fa296a5e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:SHBI2QI7GQPIXUY47QFGWHSNC6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Deep Incremental Boltzmann Machine for Modeling Context in Robots","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.RO","authors_text":"Fethiye Irmak Do\\u{g}an, Hande \\c{C}elikkanat, Sinan Kalkan","submitted_at":"2017-10-13T15:49:28Z","abstract_excerpt":"Context is an essential capability for robots that are to be as adaptive as possible in challenging environments. Although there are many context modeling efforts, they assume a fixed structure and number of contexts. In this paper, we propose an incremental deep model that extends Restricted Boltzmann Machines. Our model gets one scene at a time, and gradually extends the contextual model when necessary, either by adding a new context or a new context layer to form a hierarchy. We show on a scene classification benchmark that our method converges to a good estimate of the contexts of the scen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.04975","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:22:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jf+w8fy3iymbuWvF0GDtn18D3k6TDeWSUnK1uRPaMg9aNu/YhrCmTic7kt4z749tbT1TdGp7iW1xy8zLxHMvAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T16:56:51.377052Z"},"content_sha256":"a6532e66f6e64b89429f35d1a45aa0dffbabcf0c13c873f2f60e972eab03149b","schema_version":"1.0","event_id":"sha256:a6532e66f6e64b89429f35d1a45aa0dffbabcf0c13c873f2f60e972eab03149b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SHBI2QI7GQPIXUY47QFGWHSNC6/bundle.json","state_url":"https://pith.science/pith/SHBI2QI7GQPIXUY47QFGWHSNC6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SHBI2QI7GQPIXUY47QFGWHSNC6/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":"2026-06-05T16:56:51Z","links":{"resolver":"https://pith.science/pith/SHBI2QI7GQPIXUY47QFGWHSNC6","bundle":"https://pith.science/pith/SHBI2QI7GQPIXUY47QFGWHSNC6/bundle.json","state":"https://pith.science/pith/SHBI2QI7GQPIXUY47QFGWHSNC6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SHBI2QI7GQPIXUY47QFGWHSNC6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:SHBI2QI7GQPIXUY47QFGWHSNC6","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":"9179074bf8084a4ed65d4692dd9dc414c855eb27a52ec9d5455a28034f98094e","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2017-10-13T15:49:28Z","title_canon_sha256":"8f44cedce170c719df715fd55a71382b590dd7a7fec2803fbf2df3a71799ae09"},"schema_version":"1.0","source":{"id":"1710.04975","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.04975","created_at":"2026-05-18T00:22:10Z"},{"alias_kind":"arxiv_version","alias_value":"1710.04975v3","created_at":"2026-05-18T00:22:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.04975","created_at":"2026-05-18T00:22:10Z"},{"alias_kind":"pith_short_12","alias_value":"SHBI2QI7GQPI","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"SHBI2QI7GQPIXUY4","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"SHBI2QI7","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:a6532e66f6e64b89429f35d1a45aa0dffbabcf0c13c873f2f60e972eab03149b","target":"graph","created_at":"2026-05-18T00:22:10Z","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"},"paper":{"abstract_excerpt":"Context is an essential capability for robots that are to be as adaptive as possible in challenging environments. Although there are many context modeling efforts, they assume a fixed structure and number of contexts. In this paper, we propose an incremental deep model that extends Restricted Boltzmann Machines. Our model gets one scene at a time, and gradually extends the contextual model when necessary, either by adding a new context or a new context layer to form a hierarchy. We show on a scene classification benchmark that our method converges to a good estimate of the contexts of the scen","authors_text":"Fethiye Irmak Do\\u{g}an, Hande \\c{C}elikkanat, Sinan Kalkan","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2017-10-13T15:49:28Z","title":"A Deep Incremental Boltzmann Machine for Modeling Context in Robots"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.04975","kind":"arxiv","version":3},"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:c7a900fd39ad497260fdf2f6036e468616dd4fb8e30d745bc7f047f6fa296a5e","target":"record","created_at":"2026-05-18T00:22:10Z","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":"9179074bf8084a4ed65d4692dd9dc414c855eb27a52ec9d5455a28034f98094e","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2017-10-13T15:49:28Z","title_canon_sha256":"8f44cedce170c719df715fd55a71382b590dd7a7fec2803fbf2df3a71799ae09"},"schema_version":"1.0","source":{"id":"1710.04975","kind":"arxiv","version":3}},"canonical_sha256":"91c28d411f341e8bd31cfc0a6b1e4d17af686a30d4713f9d4711fd8269192c52","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91c28d411f341e8bd31cfc0a6b1e4d17af686a30d4713f9d4711fd8269192c52","first_computed_at":"2026-05-18T00:22:10.657573Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:22:10.657573Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tM08OkjshPwH1icUrSHs4Q9DAtohyJSaPqOxCfVtHFI/mGwZ2ZQ++zOQD5neLwcVTPTtjpRu4zEvkMgjRm3YBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:22:10.658216Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.04975","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c7a900fd39ad497260fdf2f6036e468616dd4fb8e30d745bc7f047f6fa296a5e","sha256:a6532e66f6e64b89429f35d1a45aa0dffbabcf0c13c873f2f60e972eab03149b"],"state_sha256":"d01b2b9ad5f12500c6fccd475d6c5fd275953e5b4565f1a80a8ed807e0c18551"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UDPbQI9y97GPxVy6snNmHSAkY33tbmTIm5lNzIJLwB7DYqaxt8xdBTnYLYe1r/AgB526+o15cTYrpPPd8SKtDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T16:56:51.379180Z","bundle_sha256":"771c58c91ee28c04c6ed0b3beb4c49c267ea8442d645cafe11a79de0d410d08f"}}