{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:R4OWY33QH4EVSGJNM5G6RFHHPN","short_pith_number":"pith:R4OWY33Q","canonical_record":{"source":{"id":"1709.08295","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-25T02:43:49Z","cross_cats_sorted":[],"title_canon_sha256":"7947928206356bec63963a0cb69d2169f977735508c147670ff9867d2271d842","abstract_canon_sha256":"7015b215051863d0e32ba243283a01d6af21666ad0ccc4975f57de6bcfbd79ca"},"schema_version":"1.0"},"canonical_sha256":"8f1d6c6f703f0959192d674de894e77b6470c8e1f7bfa48feb2f6ca3200ab2de","source":{"kind":"arxiv","id":"1709.08295","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.08295","created_at":"2026-05-18T00:29:12Z"},{"alias_kind":"arxiv_version","alias_value":"1709.08295v1","created_at":"2026-05-18T00:29:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.08295","created_at":"2026-05-18T00:29:12Z"},{"alias_kind":"pith_short_12","alias_value":"R4OWY33QH4EV","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"R4OWY33QH4EVSGJN","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"R4OWY33Q","created_at":"2026-05-18T12:31:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:R4OWY33QH4EVSGJNM5G6RFHHPN","target":"record","payload":{"canonical_record":{"source":{"id":"1709.08295","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-25T02:43:49Z","cross_cats_sorted":[],"title_canon_sha256":"7947928206356bec63963a0cb69d2169f977735508c147670ff9867d2271d842","abstract_canon_sha256":"7015b215051863d0e32ba243283a01d6af21666ad0ccc4975f57de6bcfbd79ca"},"schema_version":"1.0"},"canonical_sha256":"8f1d6c6f703f0959192d674de894e77b6470c8e1f7bfa48feb2f6ca3200ab2de","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:12.978264Z","signature_b64":"ufEQIp7eoS2Tcf499SMXi3Zb8qPZxFofYt/CL2by35c4lNphiefiKLDD3LKaiKSW4kopNe5fn4i4mzOIZz3MCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f1d6c6f703f0959192d674de894e77b6470c8e1f7bfa48feb2f6ca3200ab2de","last_reissued_at":"2026-05-18T00:29:12.977625Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:12.977625Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.08295","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":"2026-05-18T00:29:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W4NzoXoBi8Y4l3RlyLAx0XJnRGSTPnm7NzEASFTA34usDzBtY72KfUjHxOBZYHcpA4efA6SwfMpiAduG1gfECA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T12:28:30.857104Z"},"content_sha256":"887a4a6fd197dce88c48902a024981206a6ad527933db5428abfc57888cd6918","schema_version":"1.0","event_id":"sha256:887a4a6fd197dce88c48902a024981206a6ad527933db5428abfc57888cd6918"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:R4OWY33QH4EVSGJNM5G6RFHHPN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Junjie Zhao, Xiangteng He, Yuxin Peng","submitted_at":"2017-09-25T02:43:49Z","abstract_excerpt":"Discriminative localization is essential for fine-grained image classification task, which devotes to recognizing hundreds of subcategories in the same basic-level category. Reflecting on discriminative regions of objects, key differences among different subcategories are subtle and local. Existing methods generally adopt a two-stage learning framework: The first stage is to localize the discriminative regions of objects, and the second is to encode the discriminative features for training classifiers. However, these methods generally have two limitations: (1) Separation of the two-stage learn"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.08295","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":"2026-05-18T00:29:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zcZfXMvl6bvPsaMrc84p8jDQKYfA9oeRqvxFD0BVPlvq+P0wlLitRuAJ1dy4DVVjlZUrgPvfIerUB+nwTcz8Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T12:28:30.857485Z"},"content_sha256":"9569bfbfdece6ab9c0125c940865785442584f3e73969827c5317ae9ef74dc9e","schema_version":"1.0","event_id":"sha256:9569bfbfdece6ab9c0125c940865785442584f3e73969827c5317ae9ef74dc9e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R4OWY33QH4EVSGJNM5G6RFHHPN/bundle.json","state_url":"https://pith.science/pith/R4OWY33QH4EVSGJNM5G6RFHHPN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R4OWY33QH4EVSGJNM5G6RFHHPN/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":"2026-05-31T12:28:30Z","links":{"resolver":"https://pith.science/pith/R4OWY33QH4EVSGJNM5G6RFHHPN","bundle":"https://pith.science/pith/R4OWY33QH4EVSGJNM5G6RFHHPN/bundle.json","state":"https://pith.science/pith/R4OWY33QH4EVSGJNM5G6RFHHPN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R4OWY33QH4EVSGJNM5G6RFHHPN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:R4OWY33QH4EVSGJNM5G6RFHHPN","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":"7015b215051863d0e32ba243283a01d6af21666ad0ccc4975f57de6bcfbd79ca","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-25T02:43:49Z","title_canon_sha256":"7947928206356bec63963a0cb69d2169f977735508c147670ff9867d2271d842"},"schema_version":"1.0","source":{"id":"1709.08295","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.08295","created_at":"2026-05-18T00:29:12Z"},{"alias_kind":"arxiv_version","alias_value":"1709.08295v1","created_at":"2026-05-18T00:29:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.08295","created_at":"2026-05-18T00:29:12Z"},{"alias_kind":"pith_short_12","alias_value":"R4OWY33QH4EV","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"R4OWY33QH4EVSGJN","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"R4OWY33Q","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:9569bfbfdece6ab9c0125c940865785442584f3e73969827c5317ae9ef74dc9e","target":"graph","created_at":"2026-05-18T00:29:12Z","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":"Discriminative localization is essential for fine-grained image classification task, which devotes to recognizing hundreds of subcategories in the same basic-level category. Reflecting on discriminative regions of objects, key differences among different subcategories are subtle and local. Existing methods generally adopt a two-stage learning framework: The first stage is to localize the discriminative regions of objects, and the second is to encode the discriminative features for training classifiers. However, these methods generally have two limitations: (1) Separation of the two-stage learn","authors_text":"Junjie Zhao, Xiangteng He, Yuxin Peng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-25T02:43:49Z","title":"Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.08295","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":"sha256:887a4a6fd197dce88c48902a024981206a6ad527933db5428abfc57888cd6918","target":"record","created_at":"2026-05-18T00:29:12Z","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":"7015b215051863d0e32ba243283a01d6af21666ad0ccc4975f57de6bcfbd79ca","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-25T02:43:49Z","title_canon_sha256":"7947928206356bec63963a0cb69d2169f977735508c147670ff9867d2271d842"},"schema_version":"1.0","source":{"id":"1709.08295","kind":"arxiv","version":1}},"canonical_sha256":"8f1d6c6f703f0959192d674de894e77b6470c8e1f7bfa48feb2f6ca3200ab2de","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f1d6c6f703f0959192d674de894e77b6470c8e1f7bfa48feb2f6ca3200ab2de","first_computed_at":"2026-05-18T00:29:12.977625Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:12.977625Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ufEQIp7eoS2Tcf499SMXi3Zb8qPZxFofYt/CL2by35c4lNphiefiKLDD3LKaiKSW4kopNe5fn4i4mzOIZz3MCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:12.978264Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.08295","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:887a4a6fd197dce88c48902a024981206a6ad527933db5428abfc57888cd6918","sha256:9569bfbfdece6ab9c0125c940865785442584f3e73969827c5317ae9ef74dc9e"],"state_sha256":"9082d5d3b43170510963e9ebad1911031d882c5492ad7168752c9aef12d8c61e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DREjeXiIUu3q5QvcA4qpZ0W0jIC9AwcZqmKed7zA4FwJYkHzgs9Otft4GWhsgHnhh9Di+pIqy0iCkWdjV7DYBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T12:28:30.859837Z","bundle_sha256":"4c2342c65c0ab262c8b09c74bab992060961f68d168aeee33359c4eee234d39e"}}