{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:EZ765LRIBFX3KX7R63RR5FOR3Q","short_pith_number":"pith:EZ765LRI","canonical_record":{"source":{"id":"2108.09301","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-20T17:56:47Z","cross_cats_sorted":[],"title_canon_sha256":"d3d982349ffbfbc7a8b0f5abfa2e0d28bdb11cf79551fa78eb650246fc0e4cda","abstract_canon_sha256":"14cfd9788df7e13135978f69cd6d6021cc736bc63ae2b3767151714008450ef4"},"schema_version":"1.0"},"canonical_sha256":"267feeae28096fb55ff1f6e31e95d1dc2800a2f7487d03781f70d021ec3efd50","source":{"kind":"arxiv","id":"2108.09301","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.09301","created_at":"2026-07-05T03:07:36Z"},{"alias_kind":"arxiv_version","alias_value":"2108.09301v1","created_at":"2026-07-05T03:07:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.09301","created_at":"2026-07-05T03:07:36Z"},{"alias_kind":"pith_short_12","alias_value":"EZ765LRIBFX3","created_at":"2026-07-05T03:07:36Z"},{"alias_kind":"pith_short_16","alias_value":"EZ765LRIBFX3KX7R","created_at":"2026-07-05T03:07:36Z"},{"alias_kind":"pith_short_8","alias_value":"EZ765LRI","created_at":"2026-07-05T03:07:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:EZ765LRIBFX3KX7R63RR5FOR3Q","target":"record","payload":{"canonical_record":{"source":{"id":"2108.09301","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-20T17:56:47Z","cross_cats_sorted":[],"title_canon_sha256":"d3d982349ffbfbc7a8b0f5abfa2e0d28bdb11cf79551fa78eb650246fc0e4cda","abstract_canon_sha256":"14cfd9788df7e13135978f69cd6d6021cc736bc63ae2b3767151714008450ef4"},"schema_version":"1.0"},"canonical_sha256":"267feeae28096fb55ff1f6e31e95d1dc2800a2f7487d03781f70d021ec3efd50","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:07:36.172794Z","signature_b64":"V6aq4OLfxzDlRT7Xpve4HG9yQVQgsZTzrSCQp//bnXdVElhb7HhWrn6MQ3GJBYEGGlLz6M7bGfxRHRyni8p5Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"267feeae28096fb55ff1f6e31e95d1dc2800a2f7487d03781f70d021ec3efd50","last_reissued_at":"2026-07-05T03:07:36.172360Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:07:36.172360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.09301","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":"2026-07-05T03:07:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"utG62NGd43VI6XVgfRLRpQWMnQmniQN8qwc1Wsbh7gKsKfABEoe+tGTrSO8yDChAGVnrDwpr0Jb1DoRPIHd6Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:33:14.149052Z"},"content_sha256":"89f30c5e3a663106c597d9505e0d35fc839930cce52917f44a39c9b4641226d5","schema_version":"1.0","event_id":"sha256:89f30c5e3a663106c597d9505e0d35fc839930cce52917f44a39c9b4641226d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:EZ765LRIBFX3KX7R63RR5FOR3Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Discriminative Region-based Multi-Label Zero-Shot Learning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Akshita Gupta, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah, Salman Khan, Sanath Narayan","submitted_at":"2021-08-20T17:56:47Z","abstract_excerpt":"Multi-label zero-shot learning (ZSL) is a more realistic counter-part of standard single-label ZSL since several objects can co-exist in a natural image. However, the occurrence of multiple objects complicates the reasoning and requires region-specific processing of visual features to preserve their contextual cues. We note that the best existing multi-label ZSL method takes a shared approach towards attending to region features with a common set of attention maps for all the classes. Such shared maps lead to diffused attention, which does not discriminatively focus on relevant locations when "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.09301","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/2108.09301/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":"2026-07-05T03:07:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xYDVR7TW2+eWUKcskbyWVTsHUhEI6HogwbUI/0BSxFXYSlu3jNWWqTB5rfpvXovgTFDPZxL3ZVw+GA+7uX/DCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:33:14.149446Z"},"content_sha256":"aec0e106665a3d8d8248c42a5644af1417e9b5bc84f185e92b466005bec309ed","schema_version":"1.0","event_id":"sha256:aec0e106665a3d8d8248c42a5644af1417e9b5bc84f185e92b466005bec309ed"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EZ765LRIBFX3KX7R63RR5FOR3Q/bundle.json","state_url":"https://pith.science/pith/EZ765LRIBFX3KX7R63RR5FOR3Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EZ765LRIBFX3KX7R63RR5FOR3Q/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":"2026-07-06T19:33:14Z","links":{"resolver":"https://pith.science/pith/EZ765LRIBFX3KX7R63RR5FOR3Q","bundle":"https://pith.science/pith/EZ765LRIBFX3KX7R63RR5FOR3Q/bundle.json","state":"https://pith.science/pith/EZ765LRIBFX3KX7R63RR5FOR3Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EZ765LRIBFX3KX7R63RR5FOR3Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:EZ765LRIBFX3KX7R63RR5FOR3Q","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":"14cfd9788df7e13135978f69cd6d6021cc736bc63ae2b3767151714008450ef4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-20T17:56:47Z","title_canon_sha256":"d3d982349ffbfbc7a8b0f5abfa2e0d28bdb11cf79551fa78eb650246fc0e4cda"},"schema_version":"1.0","source":{"id":"2108.09301","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.09301","created_at":"2026-07-05T03:07:36Z"},{"alias_kind":"arxiv_version","alias_value":"2108.09301v1","created_at":"2026-07-05T03:07:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.09301","created_at":"2026-07-05T03:07:36Z"},{"alias_kind":"pith_short_12","alias_value":"EZ765LRIBFX3","created_at":"2026-07-05T03:07:36Z"},{"alias_kind":"pith_short_16","alias_value":"EZ765LRIBFX3KX7R","created_at":"2026-07-05T03:07:36Z"},{"alias_kind":"pith_short_8","alias_value":"EZ765LRI","created_at":"2026-07-05T03:07:36Z"}],"graph_snapshots":[{"event_id":"sha256:aec0e106665a3d8d8248c42a5644af1417e9b5bc84f185e92b466005bec309ed","target":"graph","created_at":"2026-07-05T03:07:36Z","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/2108.09301/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-label zero-shot learning (ZSL) is a more realistic counter-part of standard single-label ZSL since several objects can co-exist in a natural image. However, the occurrence of multiple objects complicates the reasoning and requires region-specific processing of visual features to preserve their contextual cues. We note that the best existing multi-label ZSL method takes a shared approach towards attending to region features with a common set of attention maps for all the classes. Such shared maps lead to diffused attention, which does not discriminatively focus on relevant locations when ","authors_text":"Akshita Gupta, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah, Salman Khan, Sanath Narayan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-20T17:56:47Z","title":"Discriminative Region-based Multi-Label Zero-Shot Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.09301","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":"sha256:89f30c5e3a663106c597d9505e0d35fc839930cce52917f44a39c9b4641226d5","target":"record","created_at":"2026-07-05T03:07:36Z","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":"14cfd9788df7e13135978f69cd6d6021cc736bc63ae2b3767151714008450ef4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-20T17:56:47Z","title_canon_sha256":"d3d982349ffbfbc7a8b0f5abfa2e0d28bdb11cf79551fa78eb650246fc0e4cda"},"schema_version":"1.0","source":{"id":"2108.09301","kind":"arxiv","version":1}},"canonical_sha256":"267feeae28096fb55ff1f6e31e95d1dc2800a2f7487d03781f70d021ec3efd50","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"267feeae28096fb55ff1f6e31e95d1dc2800a2f7487d03781f70d021ec3efd50","first_computed_at":"2026-07-05T03:07:36.172360Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:07:36.172360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V6aq4OLfxzDlRT7Xpve4HG9yQVQgsZTzrSCQp//bnXdVElhb7HhWrn6MQ3GJBYEGGlLz6M7bGfxRHRyni8p5Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:07:36.172794Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.09301","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89f30c5e3a663106c597d9505e0d35fc839930cce52917f44a39c9b4641226d5","sha256:aec0e106665a3d8d8248c42a5644af1417e9b5bc84f185e92b466005bec309ed"],"state_sha256":"ea236c5a9a49d43175d748df925bff215d11dc3ec88288035494645700a2ab6b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PwyATDI/OU9gRZhArrWcNzXsKk6+7PGXwryzfrpi2EjWOo+dY86Jajf3CoO3A62t+efb7zfjoJcfMCNLJhEMCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:33:14.151398Z","bundle_sha256":"7167e7e46d2f5a3f5c3c19bac741739776b3a72a4407f1a746cfc5f335746e33"}}