{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:SFUFOO542VTWL4R2HDAPGQUVAV","short_pith_number":"pith:SFUFOO54","canonical_record":{"source":{"id":"1604.01787","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-06T20:04:17Z","cross_cats_sorted":[],"title_canon_sha256":"34f57d14938d7a600200d1f6005eedbdaeacff8ace845551e24770cf5d7bbbc5","abstract_canon_sha256":"12d714f2d2b51fe5c6a91c8302a2e2717c7134adfbf1e75949cf313ff83b4689"},"schema_version":"1.0"},"canonical_sha256":"9168573bbcd56765f23a38c0f342950548aade7829993384b4a8decdbac6d1af","source":{"kind":"arxiv","id":"1604.01787","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.01787","created_at":"2026-05-18T01:17:32Z"},{"alias_kind":"arxiv_version","alias_value":"1604.01787v1","created_at":"2026-05-18T01:17:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.01787","created_at":"2026-05-18T01:17:32Z"},{"alias_kind":"pith_short_12","alias_value":"SFUFOO542VTW","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"SFUFOO542VTWL4R2","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"SFUFOO54","created_at":"2026-05-18T12:30:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:SFUFOO542VTWL4R2HDAPGQUVAV","target":"record","payload":{"canonical_record":{"source":{"id":"1604.01787","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-06T20:04:17Z","cross_cats_sorted":[],"title_canon_sha256":"34f57d14938d7a600200d1f6005eedbdaeacff8ace845551e24770cf5d7bbbc5","abstract_canon_sha256":"12d714f2d2b51fe5c6a91c8302a2e2717c7134adfbf1e75949cf313ff83b4689"},"schema_version":"1.0"},"canonical_sha256":"9168573bbcd56765f23a38c0f342950548aade7829993384b4a8decdbac6d1af","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:17:32.129755Z","signature_b64":"nakFuLPQiXcgni2PyW6+HmFzPzvcrYNwF6+cmJDTX1Rmc78xut8ZehjOwwzGgRq/DjqE8cIEUEnBPfR93EQ+Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9168573bbcd56765f23a38c0f342950548aade7829993384b4a8decdbac6d1af","last_reissued_at":"2026-05-18T01:17:32.129117Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:17:32.129117Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1604.01787","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":"2026-05-18T01:17:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2SKvFpUMuOjwaXOw+MeZOnzmt5fUNw8p0ZP3GFeARvx0l8cK5TJPty4dXP7AIOqpI9k6hp41eDGlKvBq8QQRDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T16:52:57.150577Z"},"content_sha256":"9c11f376844159113ebc7fe0c24b573d1ca10675d6669c435d0bd5319dcdb8c7","schema_version":"1.0","event_id":"sha256:9c11f376844159113ebc7fe0c24b573d1ca10675d6669c435d0bd5319dcdb8c7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:SFUFOO542VTWL4R2HDAPGQUVAV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Subpath Kernel for Learning Hierarchical Image Representations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Laetitia Chapel, S\\'ebastien Lef\\`evre, Yanwei Cui","submitted_at":"2016-04-06T20:04:17Z","abstract_excerpt":"Tree kernels have demonstrated their ability to deal with hierarchical data, as the intrinsic tree structure often plays a discriminative role. While such kernels have been successfully applied to various domains such as nature language processing and bioinformatics, they mostly concentrate on ordered trees and whose nodes are described by symbolic data. Meanwhile, hierarchical representations have gained increasing interest to describe image content. This is particularly true in remote sensing, where such representations allow for revealing different objects of interest at various scales thro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.01787","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":""},"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":"2026-05-18T01:17:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b3ZYlYrLi14Mciyk+PcAgT7OemMNZAhzyAxxjiS3o/xocgi/Tfi+GQXRbUCqTBPqCmodZQmu5JfkPony+GeFAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T16:52:57.151243Z"},"content_sha256":"61fd7bf0c6a7970e30e5aed458952e39139a993c17e3ff1f8037ce6300ad3e1a","schema_version":"1.0","event_id":"sha256:61fd7bf0c6a7970e30e5aed458952e39139a993c17e3ff1f8037ce6300ad3e1a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SFUFOO542VTWL4R2HDAPGQUVAV/bundle.json","state_url":"https://pith.science/pith/SFUFOO542VTWL4R2HDAPGQUVAV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SFUFOO542VTWL4R2HDAPGQUVAV/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":"2026-05-29T16:52:57Z","links":{"resolver":"https://pith.science/pith/SFUFOO542VTWL4R2HDAPGQUVAV","bundle":"https://pith.science/pith/SFUFOO542VTWL4R2HDAPGQUVAV/bundle.json","state":"https://pith.science/pith/SFUFOO542VTWL4R2HDAPGQUVAV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SFUFOO542VTWL4R2HDAPGQUVAV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:SFUFOO542VTWL4R2HDAPGQUVAV","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":"12d714f2d2b51fe5c6a91c8302a2e2717c7134adfbf1e75949cf313ff83b4689","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-06T20:04:17Z","title_canon_sha256":"34f57d14938d7a600200d1f6005eedbdaeacff8ace845551e24770cf5d7bbbc5"},"schema_version":"1.0","source":{"id":"1604.01787","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.01787","created_at":"2026-05-18T01:17:32Z"},{"alias_kind":"arxiv_version","alias_value":"1604.01787v1","created_at":"2026-05-18T01:17:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.01787","created_at":"2026-05-18T01:17:32Z"},{"alias_kind":"pith_short_12","alias_value":"SFUFOO542VTW","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"SFUFOO542VTWL4R2","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"SFUFOO54","created_at":"2026-05-18T12:30:44Z"}],"graph_snapshots":[{"event_id":"sha256:61fd7bf0c6a7970e30e5aed458952e39139a993c17e3ff1f8037ce6300ad3e1a","target":"graph","created_at":"2026-05-18T01:17:32Z","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":"Tree kernels have demonstrated their ability to deal with hierarchical data, as the intrinsic tree structure often plays a discriminative role. While such kernels have been successfully applied to various domains such as nature language processing and bioinformatics, they mostly concentrate on ordered trees and whose nodes are described by symbolic data. Meanwhile, hierarchical representations have gained increasing interest to describe image content. This is particularly true in remote sensing, where such representations allow for revealing different objects of interest at various scales thro","authors_text":"Laetitia Chapel, S\\'ebastien Lef\\`evre, Yanwei Cui","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-06T20:04:17Z","title":"A Subpath Kernel for Learning Hierarchical Image Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.01787","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":"sha256:9c11f376844159113ebc7fe0c24b573d1ca10675d6669c435d0bd5319dcdb8c7","target":"record","created_at":"2026-05-18T01:17:32Z","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":"12d714f2d2b51fe5c6a91c8302a2e2717c7134adfbf1e75949cf313ff83b4689","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-06T20:04:17Z","title_canon_sha256":"34f57d14938d7a600200d1f6005eedbdaeacff8ace845551e24770cf5d7bbbc5"},"schema_version":"1.0","source":{"id":"1604.01787","kind":"arxiv","version":1}},"canonical_sha256":"9168573bbcd56765f23a38c0f342950548aade7829993384b4a8decdbac6d1af","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9168573bbcd56765f23a38c0f342950548aade7829993384b4a8decdbac6d1af","first_computed_at":"2026-05-18T01:17:32.129117Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:17:32.129117Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nakFuLPQiXcgni2PyW6+HmFzPzvcrYNwF6+cmJDTX1Rmc78xut8ZehjOwwzGgRq/DjqE8cIEUEnBPfR93EQ+Bw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:17:32.129755Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.01787","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c11f376844159113ebc7fe0c24b573d1ca10675d6669c435d0bd5319dcdb8c7","sha256:61fd7bf0c6a7970e30e5aed458952e39139a993c17e3ff1f8037ce6300ad3e1a"],"state_sha256":"33192941925104d665e81718a57fb1d7a8f18647159af8022b4d40a24015decf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xSBcsYDvhwKUnGOc7zkiF1oL0ulv6u8etdQT4zmiB3xNc6uja7KQ4X3F78f0idXtXb+DkFE75dhPiBD0hCTwDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T16:52:57.154869Z","bundle_sha256":"b62a6f89d454656455c6211134f73b94ab3b719d75c517ed9b99d24f92137793"}}