{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HONHNPKOZ3I6HYMDNQKNIRWD4A","short_pith_number":"pith:HONHNPKO","canonical_record":{"source":{"id":"2312.16571","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-27T13:36:29Z","cross_cats_sorted":[],"title_canon_sha256":"5b58dc05cc429fc6424809b88211ffc74f6cf3ac7ae9ea484f2339e2786fa8be","abstract_canon_sha256":"4a590c38b1bd2b321fd39fc15d33a0532f9dacf0d14ddc6cf3322683cbf2b992"},"schema_version":"1.0"},"canonical_sha256":"3b9a76bd4eced1e3e1836c14d446c3e01b20121d73a4b81ae4aa3519339aa211","source":{"kind":"arxiv","id":"2312.16571","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.16571","created_at":"2026-07-05T07:28:48Z"},{"alias_kind":"arxiv_version","alias_value":"2312.16571v2","created_at":"2026-07-05T07:28:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.16571","created_at":"2026-07-05T07:28:48Z"},{"alias_kind":"pith_short_12","alias_value":"HONHNPKOZ3I6","created_at":"2026-07-05T07:28:48Z"},{"alias_kind":"pith_short_16","alias_value":"HONHNPKOZ3I6HYMD","created_at":"2026-07-05T07:28:48Z"},{"alias_kind":"pith_short_8","alias_value":"HONHNPKO","created_at":"2026-07-05T07:28:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HONHNPKOZ3I6HYMDNQKNIRWD4A","target":"record","payload":{"canonical_record":{"source":{"id":"2312.16571","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-27T13:36:29Z","cross_cats_sorted":[],"title_canon_sha256":"5b58dc05cc429fc6424809b88211ffc74f6cf3ac7ae9ea484f2339e2786fa8be","abstract_canon_sha256":"4a590c38b1bd2b321fd39fc15d33a0532f9dacf0d14ddc6cf3322683cbf2b992"},"schema_version":"1.0"},"canonical_sha256":"3b9a76bd4eced1e3e1836c14d446c3e01b20121d73a4b81ae4aa3519339aa211","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:28:48.177178Z","signature_b64":"6SNfEn8/ZXqthoSFwiqZ4gFQ0h4aTDivMIwptw7T0LbLDSfePD1/Vss6wSpj9ZEczsxUceCSMMcHa3bU5m2FCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b9a76bd4eced1e3e1836c14d446c3e01b20121d73a4b81ae4aa3519339aa211","last_reissued_at":"2026-07-05T07:28:48.176732Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:28:48.176732Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.16571","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:28:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"guaajnsSUa4fpCCWGT/p/RbCgLhmsFZEy66Mmx/bHCTgX7OWmUSReWkMmUQyXaVOQBi40yv9WvGEq1GcuO6BDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:54:01.925368Z"},"content_sha256":"ed3bfa7d16f95eae6aa3a22dc3165bc1652db1ea9624f4b2f32bd0b105d71272","schema_version":"1.0","event_id":"sha256:ed3bfa7d16f95eae6aa3a22dc3165bc1652db1ea9624f4b2f32bd0b105d71272"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HONHNPKOZ3I6HYMDNQKNIRWD4A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fanman Meng, Hefei Mei, Heqian Qiu, Hongliang Li, Lanxiao Wang, Minjian Zhang, Shiyuan Tang, Taijin Zhao","submitted_at":"2023-12-27T13:36:29Z","abstract_excerpt":"Few-shot object detection (FSOD) aims to achieve object detection only using a few novel class training data. Most of the existing methods usually adopt a transfer-learning strategy to construct the novel class distribution by transferring the base class knowledge. However, this direct way easily results in confusion between the novel class and other similar categories in the decision space. To address the problem, we propose generating local reverse samples (LRSamples) in Prototype Reference Frames to adaptively adjust the center position and boundary range of the novel class distribution to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.16571","kind":"arxiv","version":2},"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/2312.16571/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":"2026-07-05T07:28:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uPqWMO4d7pNWSGOQ4HaqxPUaNm+wlmVDIJ0ZEgflbzZzDswmFH5d0rl7EiWnYyDR8d7adTKgBAC6DBeqcNYAAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:54:01.925942Z"},"content_sha256":"7d5577145af249cd191bc80cf0389c359c7d903364816376d33a65d06d21177c","schema_version":"1.0","event_id":"sha256:7d5577145af249cd191bc80cf0389c359c7d903364816376d33a65d06d21177c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HONHNPKOZ3I6HYMDNQKNIRWD4A/bundle.json","state_url":"https://pith.science/pith/HONHNPKOZ3I6HYMDNQKNIRWD4A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HONHNPKOZ3I6HYMDNQKNIRWD4A/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":"2026-08-11T08:54:01Z","links":{"resolver":"https://pith.science/pith/HONHNPKOZ3I6HYMDNQKNIRWD4A","bundle":"https://pith.science/pith/HONHNPKOZ3I6HYMDNQKNIRWD4A/bundle.json","state":"https://pith.science/pith/HONHNPKOZ3I6HYMDNQKNIRWD4A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HONHNPKOZ3I6HYMDNQKNIRWD4A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HONHNPKOZ3I6HYMDNQKNIRWD4A","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":"4a590c38b1bd2b321fd39fc15d33a0532f9dacf0d14ddc6cf3322683cbf2b992","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-27T13:36:29Z","title_canon_sha256":"5b58dc05cc429fc6424809b88211ffc74f6cf3ac7ae9ea484f2339e2786fa8be"},"schema_version":"1.0","source":{"id":"2312.16571","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.16571","created_at":"2026-07-05T07:28:48Z"},{"alias_kind":"arxiv_version","alias_value":"2312.16571v2","created_at":"2026-07-05T07:28:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.16571","created_at":"2026-07-05T07:28:48Z"},{"alias_kind":"pith_short_12","alias_value":"HONHNPKOZ3I6","created_at":"2026-07-05T07:28:48Z"},{"alias_kind":"pith_short_16","alias_value":"HONHNPKOZ3I6HYMD","created_at":"2026-07-05T07:28:48Z"},{"alias_kind":"pith_short_8","alias_value":"HONHNPKO","created_at":"2026-07-05T07:28:48Z"}],"graph_snapshots":[{"event_id":"sha256:7d5577145af249cd191bc80cf0389c359c7d903364816376d33a65d06d21177c","target":"graph","created_at":"2026-07-05T07:28:48Z","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/2312.16571/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Few-shot object detection (FSOD) aims to achieve object detection only using a few novel class training data. Most of the existing methods usually adopt a transfer-learning strategy to construct the novel class distribution by transferring the base class knowledge. However, this direct way easily results in confusion between the novel class and other similar categories in the decision space. To address the problem, we propose generating local reverse samples (LRSamples) in Prototype Reference Frames to adaptively adjust the center position and boundary range of the novel class distribution to ","authors_text":"Fanman Meng, Hefei Mei, Heqian Qiu, Hongliang Li, Lanxiao Wang, Minjian Zhang, Shiyuan Tang, Taijin Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-27T13:36:29Z","title":"GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.16571","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:ed3bfa7d16f95eae6aa3a22dc3165bc1652db1ea9624f4b2f32bd0b105d71272","target":"record","created_at":"2026-07-05T07:28:48Z","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":"4a590c38b1bd2b321fd39fc15d33a0532f9dacf0d14ddc6cf3322683cbf2b992","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-27T13:36:29Z","title_canon_sha256":"5b58dc05cc429fc6424809b88211ffc74f6cf3ac7ae9ea484f2339e2786fa8be"},"schema_version":"1.0","source":{"id":"2312.16571","kind":"arxiv","version":2}},"canonical_sha256":"3b9a76bd4eced1e3e1836c14d446c3e01b20121d73a4b81ae4aa3519339aa211","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b9a76bd4eced1e3e1836c14d446c3e01b20121d73a4b81ae4aa3519339aa211","first_computed_at":"2026-07-05T07:28:48.176732Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:28:48.176732Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6SNfEn8/ZXqthoSFwiqZ4gFQ0h4aTDivMIwptw7T0LbLDSfePD1/Vss6wSpj9ZEczsxUceCSMMcHa3bU5m2FCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:28:48.177178Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.16571","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed3bfa7d16f95eae6aa3a22dc3165bc1652db1ea9624f4b2f32bd0b105d71272","sha256:7d5577145af249cd191bc80cf0389c359c7d903364816376d33a65d06d21177c"],"state_sha256":"c3faf4a0440c49e0778e7c42bc74566297390e95c7376b96b0c311203062a0f2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xlaiZAjjfJu+3R2k2nRzxz4j8vUX/konjHl7p5zTcw5WjeoXFHsEoAZZRQ9ojB+67IRtcFVEe2ywejoOsvbBBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T08:54:01.930330Z","bundle_sha256":"99f025402c9399fd1bab1d891b44043c7b34bd96accfb89790cd67e1547862b5"}}