{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:AOZOFGKB6XDMPQ32OJXEBANVAS","short_pith_number":"pith:AOZOFGKB","canonical_record":{"source":{"id":"2207.08549","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-18T12:12:42Z","cross_cats_sorted":[],"title_canon_sha256":"bc401ab4696a1a824d50ae7f7491bf23b0e571ca6fc10d7c8e323fa7ef06aeaf","abstract_canon_sha256":"a833d91db4dfafdc65b0b05fcee83933e06b22a75647cd726ac863158469645f"},"schema_version":"1.0"},"canonical_sha256":"03b2e29941f5c6c7c37a726e4081b504a3c6a4c9b8c047327a90db00f9a9c67d","source":{"kind":"arxiv","id":"2207.08549","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.08549","created_at":"2026-07-05T04:41:05Z"},{"alias_kind":"arxiv_version","alias_value":"2207.08549v1","created_at":"2026-07-05T04:41:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.08549","created_at":"2026-07-05T04:41:05Z"},{"alias_kind":"pith_short_12","alias_value":"AOZOFGKB6XDM","created_at":"2026-07-05T04:41:05Z"},{"alias_kind":"pith_short_16","alias_value":"AOZOFGKB6XDMPQ32","created_at":"2026-07-05T04:41:05Z"},{"alias_kind":"pith_short_8","alias_value":"AOZOFGKB","created_at":"2026-07-05T04:41:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:AOZOFGKB6XDMPQ32OJXEBANVAS","target":"record","payload":{"canonical_record":{"source":{"id":"2207.08549","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-18T12:12:42Z","cross_cats_sorted":[],"title_canon_sha256":"bc401ab4696a1a824d50ae7f7491bf23b0e571ca6fc10d7c8e323fa7ef06aeaf","abstract_canon_sha256":"a833d91db4dfafdc65b0b05fcee83933e06b22a75647cd726ac863158469645f"},"schema_version":"1.0"},"canonical_sha256":"03b2e29941f5c6c7c37a726e4081b504a3c6a4c9b8c047327a90db00f9a9c67d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:41:05.805467Z","signature_b64":"7RlTJ1G3za1UI1T6NFbVL5zyVp8C0zrFKDtED1mWh3/x4N4Z4xNeh/nqT30R0EPXUG+UrSbj1kqi+FrbTTN0Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"03b2e29941f5c6c7c37a726e4081b504a3c6a4c9b8c047327a90db00f9a9c67d","last_reissued_at":"2026-07-05T04:41:05.805049Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:41:05.805049Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.08549","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":"2026-07-05T04:41:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xT83EQcNOM0V9rWXTqM5Knhfh7O4dK4VgW5gRSh9eLpKC3VxkcWYLH91FjM3ss7rwnaSWQLFbeK1kKlmuJtnDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T06:49:59.527461Z"},"content_sha256":"dd65cce1fa9451a3d29e3bf974d9bb9a2f2ec90b243e6369e3d94400a0b75efe","schema_version":"1.0","event_id":"sha256:dd65cce1fa9451a3d29e3bf974d9bb9a2f2ec90b243e6369e3d94400a0b75efe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:AOZOFGKB6XDMPQ32OJXEBANVAS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Donghuan Lu, Dong Wei, Jiashun Chen, Kai Ma, Munan Ning, Xinyu Shi, Yefeng Zheng, Yu Zhang","submitted_at":"2022-07-18T12:12:42Z","abstract_excerpt":"Research into Few-shot Semantic Segmentation (FSS) has attracted great attention, with the goal to segment target objects in a query image given only a few annotated support images of the target class. A key to this challenging task is to fully utilize the information in the support images by exploiting fine-grained correlations between the query and support images. However, most existing approaches either compressed the support information into a few class-wise prototypes, or used partial support information (e.g., only foreground) at the pixel level, causing non-negligible information loss. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.08549","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/2207.08549/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":"2026-07-05T04:41:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1H3fsqhDL2Ap4ekZXXeRSCPsM5AC4HEPelY7R0v9BGsDvmwqTSsD+RZP86cZ3JOhI08BL3LAKll77TzH+qY2Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T06:49:59.528004Z"},"content_sha256":"fbddb6226ead7fe6aa9f14307b9406b772768ed538a6719721b0357ed74036aa","schema_version":"1.0","event_id":"sha256:fbddb6226ead7fe6aa9f14307b9406b772768ed538a6719721b0357ed74036aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AOZOFGKB6XDMPQ32OJXEBANVAS/bundle.json","state_url":"https://pith.science/pith/AOZOFGKB6XDMPQ32OJXEBANVAS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AOZOFGKB6XDMPQ32OJXEBANVAS/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":"2026-08-13T06:49:59Z","links":{"resolver":"https://pith.science/pith/AOZOFGKB6XDMPQ32OJXEBANVAS","bundle":"https://pith.science/pith/AOZOFGKB6XDMPQ32OJXEBANVAS/bundle.json","state":"https://pith.science/pith/AOZOFGKB6XDMPQ32OJXEBANVAS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AOZOFGKB6XDMPQ32OJXEBANVAS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AOZOFGKB6XDMPQ32OJXEBANVAS","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":"a833d91db4dfafdc65b0b05fcee83933e06b22a75647cd726ac863158469645f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-18T12:12:42Z","title_canon_sha256":"bc401ab4696a1a824d50ae7f7491bf23b0e571ca6fc10d7c8e323fa7ef06aeaf"},"schema_version":"1.0","source":{"id":"2207.08549","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.08549","created_at":"2026-07-05T04:41:05Z"},{"alias_kind":"arxiv_version","alias_value":"2207.08549v1","created_at":"2026-07-05T04:41:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.08549","created_at":"2026-07-05T04:41:05Z"},{"alias_kind":"pith_short_12","alias_value":"AOZOFGKB6XDM","created_at":"2026-07-05T04:41:05Z"},{"alias_kind":"pith_short_16","alias_value":"AOZOFGKB6XDMPQ32","created_at":"2026-07-05T04:41:05Z"},{"alias_kind":"pith_short_8","alias_value":"AOZOFGKB","created_at":"2026-07-05T04:41:05Z"}],"graph_snapshots":[{"event_id":"sha256:fbddb6226ead7fe6aa9f14307b9406b772768ed538a6719721b0357ed74036aa","target":"graph","created_at":"2026-07-05T04:41:05Z","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/2207.08549/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Research into Few-shot Semantic Segmentation (FSS) has attracted great attention, with the goal to segment target objects in a query image given only a few annotated support images of the target class. A key to this challenging task is to fully utilize the information in the support images by exploiting fine-grained correlations between the query and support images. However, most existing approaches either compressed the support information into a few class-wise prototypes, or used partial support information (e.g., only foreground) at the pixel level, causing non-negligible information loss. ","authors_text":"Donghuan Lu, Dong Wei, Jiashun Chen, Kai Ma, Munan Ning, Xinyu Shi, Yefeng Zheng, Yu Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-18T12:12:42Z","title":"Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.08549","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:dd65cce1fa9451a3d29e3bf974d9bb9a2f2ec90b243e6369e3d94400a0b75efe","target":"record","created_at":"2026-07-05T04:41:05Z","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":"a833d91db4dfafdc65b0b05fcee83933e06b22a75647cd726ac863158469645f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-18T12:12:42Z","title_canon_sha256":"bc401ab4696a1a824d50ae7f7491bf23b0e571ca6fc10d7c8e323fa7ef06aeaf"},"schema_version":"1.0","source":{"id":"2207.08549","kind":"arxiv","version":1}},"canonical_sha256":"03b2e29941f5c6c7c37a726e4081b504a3c6a4c9b8c047327a90db00f9a9c67d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"03b2e29941f5c6c7c37a726e4081b504a3c6a4c9b8c047327a90db00f9a9c67d","first_computed_at":"2026-07-05T04:41:05.805049Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:41:05.805049Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7RlTJ1G3za1UI1T6NFbVL5zyVp8C0zrFKDtED1mWh3/x4N4Z4xNeh/nqT30R0EPXUG+UrSbj1kqi+FrbTTN0Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:41:05.805467Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.08549","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd65cce1fa9451a3d29e3bf974d9bb9a2f2ec90b243e6369e3d94400a0b75efe","sha256:fbddb6226ead7fe6aa9f14307b9406b772768ed538a6719721b0357ed74036aa"],"state_sha256":"6e0ea335ae2e7fa235b042ead24e95bba25c765967f55d8406982704c4b9a77b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6U7frxWAD+FFI0NwzkQZgIH/lZoRnJkVSx5/ckjVOx5Tlwt6a4sA34rwWO8hJEoJNzrz5UIC1b6fag+v8oJSDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T06:49:59.531060Z","bundle_sha256":"3c0a5af2451df67d6b87aa68bbeab3ce3bdeadbec05f7b4b268f42d2be8cb241"}}