{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OHP3KYZZRVFOQSHZLM6VVK4B26","short_pith_number":"pith:OHP3KYZZ","canonical_record":{"source":{"id":"2404.05667","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T16:51:33Z","cross_cats_sorted":[],"title_canon_sha256":"aec9c7bb2bee8cad2815f29118e3b4b7909593f6283894a55734eb747031191b","abstract_canon_sha256":"87def1492af05f908ba0eae35ed709837a866c81ff113f0f98e151db354a408c"},"schema_version":"1.0"},"canonical_sha256":"71dfb563398d4ae848f95b3d5aab81d78969820eaeb9a31104001184bc7b32bf","source":{"kind":"arxiv","id":"2404.05667","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.05667","created_at":"2026-07-05T09:18:52Z"},{"alias_kind":"arxiv_version","alias_value":"2404.05667v1","created_at":"2026-07-05T09:18:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.05667","created_at":"2026-07-05T09:18:52Z"},{"alias_kind":"pith_short_12","alias_value":"OHP3KYZZRVFO","created_at":"2026-07-05T09:18:52Z"},{"alias_kind":"pith_short_16","alias_value":"OHP3KYZZRVFOQSHZ","created_at":"2026-07-05T09:18:52Z"},{"alias_kind":"pith_short_8","alias_value":"OHP3KYZZ","created_at":"2026-07-05T09:18:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OHP3KYZZRVFOQSHZLM6VVK4B26","target":"record","payload":{"canonical_record":{"source":{"id":"2404.05667","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T16:51:33Z","cross_cats_sorted":[],"title_canon_sha256":"aec9c7bb2bee8cad2815f29118e3b4b7909593f6283894a55734eb747031191b","abstract_canon_sha256":"87def1492af05f908ba0eae35ed709837a866c81ff113f0f98e151db354a408c"},"schema_version":"1.0"},"canonical_sha256":"71dfb563398d4ae848f95b3d5aab81d78969820eaeb9a31104001184bc7b32bf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:18:52.218358Z","signature_b64":"OxEHqGsUIYN1jspBrXrDArzW5SZi/wAofk1fkqZXvGGp/b2YV2PB1vMvAQ2InXh/qm4eF0Eo6/WOeA+BvcHkAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71dfb563398d4ae848f95b3d5aab81d78969820eaeb9a31104001184bc7b32bf","last_reissued_at":"2026-07-05T09:18:52.217862Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:18:52.217862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.05667","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":"2026-07-05T09:18:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DUzJctHSDt8dS2FDPcLMupO5xjLCvxfnTTrOE/TPVrYFIH+E59qWBw21sMHHfveI3f7B9r2ewKkzkAHudGHnBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T14:00:22.260483Z"},"content_sha256":"80c083f2d56b1297d9e9bbd28502a16e5261bf7595e7376bec7d57830f1ace51","schema_version":"1.0","event_id":"sha256:80c083f2d56b1297d9e9bbd28502a16e5261bf7595e7376bec7d57830f1ace51"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OHP3KYZZRVFOQSHZLM6VVK4B26","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AlignZeg: Mitigating Objective Misalignment for Zero-shot Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hongtao Xie, Jiannan Ge, Lingxi Xie, Pandeng Li, Qi Tian, Xiaopeng Zhang, Yongdong Zhang","submitted_at":"2024-04-08T16:51:33Z","abstract_excerpt":"A serious issue that harms the performance of zero-shot visual recognition is named objective misalignment, i.e., the learning objective prioritizes improving the recognition accuracy of seen classes rather than unseen classes, while the latter is the true target to pursue. This issue becomes more significant in zero-shot image segmentation because the stronger (i.e., pixel-level) supervision brings a larger gap between seen and unseen classes. To mitigate it, we propose a novel architecture named AlignZeg, which embodies a comprehensive improvement of the segmentation pipeline, including prop"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.05667","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/2404.05667/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":"2026-07-05T09:18:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mStH/nChVKRXHj8fOenTbQ2s71XD1DsLspcGTPtCbmoarBP2c5jIA2ssICy+68eqxe/JEX3Eb8PL1O+Eq3UHAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T14:00:22.262465Z"},"content_sha256":"647d2a1f648e7373275e8ea6af640fee4074fe7a26faa73fe9157ff5ff315667","schema_version":"1.0","event_id":"sha256:647d2a1f648e7373275e8ea6af640fee4074fe7a26faa73fe9157ff5ff315667"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OHP3KYZZRVFOQSHZLM6VVK4B26/bundle.json","state_url":"https://pith.science/pith/OHP3KYZZRVFOQSHZLM6VVK4B26/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OHP3KYZZRVFOQSHZLM6VVK4B26/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":"2026-08-17T14:00:22Z","links":{"resolver":"https://pith.science/pith/OHP3KYZZRVFOQSHZLM6VVK4B26","bundle":"https://pith.science/pith/OHP3KYZZRVFOQSHZLM6VVK4B26/bundle.json","state":"https://pith.science/pith/OHP3KYZZRVFOQSHZLM6VVK4B26/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OHP3KYZZRVFOQSHZLM6VVK4B26/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OHP3KYZZRVFOQSHZLM6VVK4B26","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":"87def1492af05f908ba0eae35ed709837a866c81ff113f0f98e151db354a408c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T16:51:33Z","title_canon_sha256":"aec9c7bb2bee8cad2815f29118e3b4b7909593f6283894a55734eb747031191b"},"schema_version":"1.0","source":{"id":"2404.05667","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.05667","created_at":"2026-07-05T09:18:52Z"},{"alias_kind":"arxiv_version","alias_value":"2404.05667v1","created_at":"2026-07-05T09:18:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.05667","created_at":"2026-07-05T09:18:52Z"},{"alias_kind":"pith_short_12","alias_value":"OHP3KYZZRVFO","created_at":"2026-07-05T09:18:52Z"},{"alias_kind":"pith_short_16","alias_value":"OHP3KYZZRVFOQSHZ","created_at":"2026-07-05T09:18:52Z"},{"alias_kind":"pith_short_8","alias_value":"OHP3KYZZ","created_at":"2026-07-05T09:18:52Z"}],"graph_snapshots":[{"event_id":"sha256:647d2a1f648e7373275e8ea6af640fee4074fe7a26faa73fe9157ff5ff315667","target":"graph","created_at":"2026-07-05T09:18:52Z","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/2404.05667/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A serious issue that harms the performance of zero-shot visual recognition is named objective misalignment, i.e., the learning objective prioritizes improving the recognition accuracy of seen classes rather than unseen classes, while the latter is the true target to pursue. This issue becomes more significant in zero-shot image segmentation because the stronger (i.e., pixel-level) supervision brings a larger gap between seen and unseen classes. To mitigate it, we propose a novel architecture named AlignZeg, which embodies a comprehensive improvement of the segmentation pipeline, including prop","authors_text":"Hongtao Xie, Jiannan Ge, Lingxi Xie, Pandeng Li, Qi Tian, Xiaopeng Zhang, Yongdong Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T16:51:33Z","title":"AlignZeg: Mitigating Objective Misalignment for Zero-shot Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.05667","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":"sha256:80c083f2d56b1297d9e9bbd28502a16e5261bf7595e7376bec7d57830f1ace51","target":"record","created_at":"2026-07-05T09:18:52Z","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":"87def1492af05f908ba0eae35ed709837a866c81ff113f0f98e151db354a408c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T16:51:33Z","title_canon_sha256":"aec9c7bb2bee8cad2815f29118e3b4b7909593f6283894a55734eb747031191b"},"schema_version":"1.0","source":{"id":"2404.05667","kind":"arxiv","version":1}},"canonical_sha256":"71dfb563398d4ae848f95b3d5aab81d78969820eaeb9a31104001184bc7b32bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71dfb563398d4ae848f95b3d5aab81d78969820eaeb9a31104001184bc7b32bf","first_computed_at":"2026-07-05T09:18:52.217862Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:18:52.217862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OxEHqGsUIYN1jspBrXrDArzW5SZi/wAofk1fkqZXvGGp/b2YV2PB1vMvAQ2InXh/qm4eF0Eo6/WOeA+BvcHkAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:18:52.218358Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.05667","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:80c083f2d56b1297d9e9bbd28502a16e5261bf7595e7376bec7d57830f1ace51","sha256:647d2a1f648e7373275e8ea6af640fee4074fe7a26faa73fe9157ff5ff315667"],"state_sha256":"15e73c2c6100f9a7ed43f7e6dc7beed3b3a0e1068360918ff1728b29df383d45"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dvvd5P3UKKjOSVcHD4hBXkxEtDBd1QSIi4nvAxulWRR6uwmNun5Um3Qk/OMosxqVsQdrRSR7Z3ImytjWWt5SBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T14:00:22.280988Z","bundle_sha256":"af0829ffce386046de62ddd33c6e4b935e8d0b902898e18f7237a8b126120147"}}