{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:TJVMEYFDJD2O7E5FNXKWHCHU5O","short_pith_number":"pith:TJVMEYFD","canonical_record":{"source":{"id":"2108.13098","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-30T10:10:29Z","cross_cats_sorted":[],"title_canon_sha256":"230bcdf22f5f759449c3abbfde1d7d173feef5fcefc99cb71cbb2c07b23e5e64","abstract_canon_sha256":"1930431406012c67d9f30d7cae3f80f9f58c86e1120767acadf9cb214979b427"},"schema_version":"1.0"},"canonical_sha256":"9a6ac260a348f4ef93a56dd56388f4ebb6cfb4fdbdd87f726c786c7465499549","source":{"kind":"arxiv","id":"2108.13098","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.13098","created_at":"2026-07-05T03:09:49Z"},{"alias_kind":"arxiv_version","alias_value":"2108.13098v1","created_at":"2026-07-05T03:09:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.13098","created_at":"2026-07-05T03:09:49Z"},{"alias_kind":"pith_short_12","alias_value":"TJVMEYFDJD2O","created_at":"2026-07-05T03:09:49Z"},{"alias_kind":"pith_short_16","alias_value":"TJVMEYFDJD2O7E5F","created_at":"2026-07-05T03:09:49Z"},{"alias_kind":"pith_short_8","alias_value":"TJVMEYFD","created_at":"2026-07-05T03:09:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:TJVMEYFDJD2O7E5FNXKWHCHU5O","target":"record","payload":{"canonical_record":{"source":{"id":"2108.13098","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-30T10:10:29Z","cross_cats_sorted":[],"title_canon_sha256":"230bcdf22f5f759449c3abbfde1d7d173feef5fcefc99cb71cbb2c07b23e5e64","abstract_canon_sha256":"1930431406012c67d9f30d7cae3f80f9f58c86e1120767acadf9cb214979b427"},"schema_version":"1.0"},"canonical_sha256":"9a6ac260a348f4ef93a56dd56388f4ebb6cfb4fdbdd87f726c786c7465499549","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:09:49.538684Z","signature_b64":"EYsoPXXbPNl9Hd/KO5NiOcwOPlrHZlxInm1XV6J7zbFKD0b5Fpp1Qz24rgyXnXlV2FS4wsTA0XCa3Ev0ETAvCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a6ac260a348f4ef93a56dd56388f4ebb6cfb4fdbdd87f726c786c7465499549","last_reissued_at":"2026-07-05T03:09:49.538266Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:09:49.538266Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.13098","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":"2026-07-05T03:09:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qn3ScCQNfLzQHj3V/VHzxO2cSx6UVL/w5cdPGbDiLaGCwLvcNXVxkkOt/tsxwFI2ipYHShJz9efUwrOBKarTDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:21:28.057204Z"},"content_sha256":"af41e4e6eb3fedb3ddfb6691716724f5c29828a85d04b57f6eafa47835675859","schema_version":"1.0","event_id":"sha256:af41e4e6eb3fedb3ddfb6691716724f5c29828a85d04b57f6eafa47835675859"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:TJVMEYFDJD2O7E5FNXKWHCHU5O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Wang, Bo Zhang, Gang Yu, Jiayuan Fan, Tao Chen, Weixi Zhang, Yike Wu","submitted_at":"2021-08-30T10:10:29Z","abstract_excerpt":"The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set. Previous works focus on learning discriminative image features from a limited number of training samples for distinguishing various fine-grained classes, but ignore one important fact that spatial alignment of the discriminative semantic features between the query image with arbitrary changes and the support image, is also critical for computing the semantic similarity between each support-query pair. In this work, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.13098","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/2108.13098/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":"2026-07-05T03:09:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U0ZnSUI7X0p30AOsQ4QCLXTfi8dAIsTJqlHNbgsH1Yw2csJQl1eU6imFWYyfLelfLmffJ9OK4gB81X2SL6M3CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:21:28.057584Z"},"content_sha256":"0fbfe402b940992f07a8c361d21e01efd114b1132fd1cabb3244dd0f4d7099b4","schema_version":"1.0","event_id":"sha256:0fbfe402b940992f07a8c361d21e01efd114b1132fd1cabb3244dd0f4d7099b4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TJVMEYFDJD2O7E5FNXKWHCHU5O/bundle.json","state_url":"https://pith.science/pith/TJVMEYFDJD2O7E5FNXKWHCHU5O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TJVMEYFDJD2O7E5FNXKWHCHU5O/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":"2026-07-07T12:21:28Z","links":{"resolver":"https://pith.science/pith/TJVMEYFDJD2O7E5FNXKWHCHU5O","bundle":"https://pith.science/pith/TJVMEYFDJD2O7E5FNXKWHCHU5O/bundle.json","state":"https://pith.science/pith/TJVMEYFDJD2O7E5FNXKWHCHU5O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TJVMEYFDJD2O7E5FNXKWHCHU5O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TJVMEYFDJD2O7E5FNXKWHCHU5O","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":"1930431406012c67d9f30d7cae3f80f9f58c86e1120767acadf9cb214979b427","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-30T10:10:29Z","title_canon_sha256":"230bcdf22f5f759449c3abbfde1d7d173feef5fcefc99cb71cbb2c07b23e5e64"},"schema_version":"1.0","source":{"id":"2108.13098","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.13098","created_at":"2026-07-05T03:09:49Z"},{"alias_kind":"arxiv_version","alias_value":"2108.13098v1","created_at":"2026-07-05T03:09:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.13098","created_at":"2026-07-05T03:09:49Z"},{"alias_kind":"pith_short_12","alias_value":"TJVMEYFDJD2O","created_at":"2026-07-05T03:09:49Z"},{"alias_kind":"pith_short_16","alias_value":"TJVMEYFDJD2O7E5F","created_at":"2026-07-05T03:09:49Z"},{"alias_kind":"pith_short_8","alias_value":"TJVMEYFD","created_at":"2026-07-05T03:09:49Z"}],"graph_snapshots":[{"event_id":"sha256:0fbfe402b940992f07a8c361d21e01efd114b1132fd1cabb3244dd0f4d7099b4","target":"graph","created_at":"2026-07-05T03:09:49Z","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/2108.13098/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set. Previous works focus on learning discriminative image features from a limited number of training samples for distinguishing various fine-grained classes, but ignore one important fact that spatial alignment of the discriminative semantic features between the query image with arbitrary changes and the support image, is also critical for computing the semantic similarity between each support-query pair. In this work, ","authors_text":"Bin Wang, Bo Zhang, Gang Yu, Jiayuan Fan, Tao Chen, Weixi Zhang, Yike Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-30T10:10:29Z","title":"Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.13098","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:af41e4e6eb3fedb3ddfb6691716724f5c29828a85d04b57f6eafa47835675859","target":"record","created_at":"2026-07-05T03:09:49Z","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":"1930431406012c67d9f30d7cae3f80f9f58c86e1120767acadf9cb214979b427","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-30T10:10:29Z","title_canon_sha256":"230bcdf22f5f759449c3abbfde1d7d173feef5fcefc99cb71cbb2c07b23e5e64"},"schema_version":"1.0","source":{"id":"2108.13098","kind":"arxiv","version":1}},"canonical_sha256":"9a6ac260a348f4ef93a56dd56388f4ebb6cfb4fdbdd87f726c786c7465499549","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a6ac260a348f4ef93a56dd56388f4ebb6cfb4fdbdd87f726c786c7465499549","first_computed_at":"2026-07-05T03:09:49.538266Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:09:49.538266Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EYsoPXXbPNl9Hd/KO5NiOcwOPlrHZlxInm1XV6J7zbFKD0b5Fpp1Qz24rgyXnXlV2FS4wsTA0XCa3Ev0ETAvCA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:09:49.538684Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.13098","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:af41e4e6eb3fedb3ddfb6691716724f5c29828a85d04b57f6eafa47835675859","sha256:0fbfe402b940992f07a8c361d21e01efd114b1132fd1cabb3244dd0f4d7099b4"],"state_sha256":"16515345fc45e7d7b0726445388208e5a062b3cb252409785a9850557fc89697"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k9QE1sT3iz22IS58zXJE56qNjH+MOtuy1wh3kt7FKqg/FgEuOiL846zgRJsHHp9DvkOjNgVLN43v7+ZxWheoBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T12:21:28.059475Z","bundle_sha256":"91073751159d65fa28e36156c85b59fa472693ae7633d307a42b33fe790353f1"}}