{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6I3DSTDNJWNVLYOATLNECBBQFH","short_pith_number":"pith:6I3DSTDN","canonical_record":{"source":{"id":"2412.01859","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T04:44:06Z","cross_cats_sorted":[],"title_canon_sha256":"1b443dffe745de90a7e18b3d1cb9434d565e4ab55292874aabf7e64652fd986e","abstract_canon_sha256":"672928d40965ccdafe0aa740027e63b3b7ba9b375a9a74bc8b45c05eba301075"},"schema_version":"1.0"},"canonical_sha256":"f236394c6d4d9b55e1c09ada41043029c85659a6b05dfc364df5db6fa9baaf99","source":{"kind":"arxiv","id":"2412.01859","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.01859","created_at":"2026-07-05T09:43:39Z"},{"alias_kind":"arxiv_version","alias_value":"2412.01859v1","created_at":"2026-07-05T09:43:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.01859","created_at":"2026-07-05T09:43:39Z"},{"alias_kind":"pith_short_12","alias_value":"6I3DSTDNJWNV","created_at":"2026-07-05T09:43:39Z"},{"alias_kind":"pith_short_16","alias_value":"6I3DSTDNJWNVLYOA","created_at":"2026-07-05T09:43:39Z"},{"alias_kind":"pith_short_8","alias_value":"6I3DSTDN","created_at":"2026-07-05T09:43:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6I3DSTDNJWNVLYOATLNECBBQFH","target":"record","payload":{"canonical_record":{"source":{"id":"2412.01859","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T04:44:06Z","cross_cats_sorted":[],"title_canon_sha256":"1b443dffe745de90a7e18b3d1cb9434d565e4ab55292874aabf7e64652fd986e","abstract_canon_sha256":"672928d40965ccdafe0aa740027e63b3b7ba9b375a9a74bc8b45c05eba301075"},"schema_version":"1.0"},"canonical_sha256":"f236394c6d4d9b55e1c09ada41043029c85659a6b05dfc364df5db6fa9baaf99","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:43:39.651922Z","signature_b64":"gWukly++gGJ+11QXRbvjCdOlqu4JCnKRuhSiXvunxPJLxXGOv+I8QAUFhvfBCrGeCwBTeGb0YrewrwdSTCxaCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f236394c6d4d9b55e1c09ada41043029c85659a6b05dfc364df5db6fa9baaf99","last_reissued_at":"2026-07-05T09:43:39.651485Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:43:39.651485Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.01859","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":"2026-07-05T09:43:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RZsstOZVqguhmOFuLy9AM2ruv7SfgWG7ZaDsgKxrjiLaEAd6h7bCVFhfRFw7UeW3epQVPoteAycADUbv3OiUBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T09:03:54.370085Z"},"content_sha256":"dd69ba164f38fcef3ec20ff260ed823b80e31242b72a744c34c1ff23df6bb677","schema_version":"1.0","event_id":"sha256:dd69ba164f38fcef3ec20ff260ed823b80e31242b72a744c34c1ff23df6bb677"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6I3DSTDNJWNVLYOATLNECBBQFH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BAFPN: Bi directional alignment of features to improve localization accuracy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dong Hongbin, Li Jiakun, Li Kexin, Wang Qingqing","submitted_at":"2024-12-01T04:44:06Z","abstract_excerpt":"Current state-of-the-art vision models often utilize feature pyramids to extract multi-scale information, with the Feature Pyramid Network (FPN) being one of the most widely used classic architectures. However, traditional FPNs and their variants (e.g., AUGFPN, PAFPN) fail to fully address spatial misalignment on a global scale, leading to suboptimal performance in high-precision localization of objects. In this paper, we propose a novel Bidirectional Alignment Feature Pyramid Network (BAFPN), which aligns misaligned features globally through a Spatial Feature Alignment Module (SPAM) during th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.01859","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/2412.01859/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":"2026-07-05T09:43:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ETPhkz6LAzkZJuA7F/DdD/hlvoHSqagEZG1n0yOpKRn55HLUXGMeCjvF3VofbcxE8uCQ8fIuiv4u0YZ3uet3Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T09:03:54.370730Z"},"content_sha256":"1c372e0f2d2c8794f70c7828799fd83dc681dae6922e6a6ac6680ed85aed0069","schema_version":"1.0","event_id":"sha256:1c372e0f2d2c8794f70c7828799fd83dc681dae6922e6a6ac6680ed85aed0069"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6I3DSTDNJWNVLYOATLNECBBQFH/bundle.json","state_url":"https://pith.science/pith/6I3DSTDNJWNVLYOATLNECBBQFH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6I3DSTDNJWNVLYOATLNECBBQFH/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":"2026-08-15T09:03:54Z","links":{"resolver":"https://pith.science/pith/6I3DSTDNJWNVLYOATLNECBBQFH","bundle":"https://pith.science/pith/6I3DSTDNJWNVLYOATLNECBBQFH/bundle.json","state":"https://pith.science/pith/6I3DSTDNJWNVLYOATLNECBBQFH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6I3DSTDNJWNVLYOATLNECBBQFH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6I3DSTDNJWNVLYOATLNECBBQFH","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":"672928d40965ccdafe0aa740027e63b3b7ba9b375a9a74bc8b45c05eba301075","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T04:44:06Z","title_canon_sha256":"1b443dffe745de90a7e18b3d1cb9434d565e4ab55292874aabf7e64652fd986e"},"schema_version":"1.0","source":{"id":"2412.01859","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.01859","created_at":"2026-07-05T09:43:39Z"},{"alias_kind":"arxiv_version","alias_value":"2412.01859v1","created_at":"2026-07-05T09:43:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.01859","created_at":"2026-07-05T09:43:39Z"},{"alias_kind":"pith_short_12","alias_value":"6I3DSTDNJWNV","created_at":"2026-07-05T09:43:39Z"},{"alias_kind":"pith_short_16","alias_value":"6I3DSTDNJWNVLYOA","created_at":"2026-07-05T09:43:39Z"},{"alias_kind":"pith_short_8","alias_value":"6I3DSTDN","created_at":"2026-07-05T09:43:39Z"}],"graph_snapshots":[{"event_id":"sha256:1c372e0f2d2c8794f70c7828799fd83dc681dae6922e6a6ac6680ed85aed0069","target":"graph","created_at":"2026-07-05T09:43:39Z","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/2412.01859/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current state-of-the-art vision models often utilize feature pyramids to extract multi-scale information, with the Feature Pyramid Network (FPN) being one of the most widely used classic architectures. However, traditional FPNs and their variants (e.g., AUGFPN, PAFPN) fail to fully address spatial misalignment on a global scale, leading to suboptimal performance in high-precision localization of objects. In this paper, we propose a novel Bidirectional Alignment Feature Pyramid Network (BAFPN), which aligns misaligned features globally through a Spatial Feature Alignment Module (SPAM) during th","authors_text":"Dong Hongbin, Li Jiakun, Li Kexin, Wang Qingqing","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T04:44:06Z","title":"BAFPN: Bi directional alignment of features to improve localization accuracy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.01859","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:dd69ba164f38fcef3ec20ff260ed823b80e31242b72a744c34c1ff23df6bb677","target":"record","created_at":"2026-07-05T09:43:39Z","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":"672928d40965ccdafe0aa740027e63b3b7ba9b375a9a74bc8b45c05eba301075","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T04:44:06Z","title_canon_sha256":"1b443dffe745de90a7e18b3d1cb9434d565e4ab55292874aabf7e64652fd986e"},"schema_version":"1.0","source":{"id":"2412.01859","kind":"arxiv","version":1}},"canonical_sha256":"f236394c6d4d9b55e1c09ada41043029c85659a6b05dfc364df5db6fa9baaf99","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f236394c6d4d9b55e1c09ada41043029c85659a6b05dfc364df5db6fa9baaf99","first_computed_at":"2026-07-05T09:43:39.651485Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:43:39.651485Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gWukly++gGJ+11QXRbvjCdOlqu4JCnKRuhSiXvunxPJLxXGOv+I8QAUFhvfBCrGeCwBTeGb0YrewrwdSTCxaCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:43:39.651922Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.01859","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd69ba164f38fcef3ec20ff260ed823b80e31242b72a744c34c1ff23df6bb677","sha256:1c372e0f2d2c8794f70c7828799fd83dc681dae6922e6a6ac6680ed85aed0069"],"state_sha256":"84409c37a2714c1c4ce285b60e9d937c799b5217b13630925f60312d610a1304"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"quaGNwSwt1L0xFq01fs4ZWi67deaKgijoLZ/hLVF/wLAhb1nzFYon+KmMiWvvCcU/g7QMN4ekvv5H8y3VwqmBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T09:03:54.374635Z","bundle_sha256":"f008b13ac3725b9a76bbb73739888dfd2f6c79e3a97484343c046000588a2095"}}