{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:HZ2A544T6SQG3YVDWV2S3JMJUV","short_pith_number":"pith:HZ2A544T","canonical_record":{"source":{"id":"1708.08728","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-29T12:40:52Z","cross_cats_sorted":[],"title_canon_sha256":"fca4ca985bb777cfcc2eb52b290c1da6b92bc5792af441c11ef756000da4fdf8","abstract_canon_sha256":"c6b5551404ee283a9f6537c334f2d288262d5e54a8764df54eb1e038682eec26"},"schema_version":"1.0"},"canonical_sha256":"3e740ef393f4a06de2a3b5752da589a559b7e6871e4b527932e70881fd5337fb","source":{"kind":"arxiv","id":"1708.08728","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.08728","created_at":"2026-05-18T00:36:25Z"},{"alias_kind":"arxiv_version","alias_value":"1708.08728v1","created_at":"2026-05-18T00:36:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.08728","created_at":"2026-05-18T00:36:25Z"},{"alias_kind":"pith_short_12","alias_value":"HZ2A544T6SQG","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"HZ2A544T6SQG3YVD","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"HZ2A544T","created_at":"2026-05-18T12:31:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:HZ2A544T6SQG3YVDWV2S3JMJUV","target":"record","payload":{"canonical_record":{"source":{"id":"1708.08728","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-29T12:40:52Z","cross_cats_sorted":[],"title_canon_sha256":"fca4ca985bb777cfcc2eb52b290c1da6b92bc5792af441c11ef756000da4fdf8","abstract_canon_sha256":"c6b5551404ee283a9f6537c334f2d288262d5e54a8764df54eb1e038682eec26"},"schema_version":"1.0"},"canonical_sha256":"3e740ef393f4a06de2a3b5752da589a559b7e6871e4b527932e70881fd5337fb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:36:25.913109Z","signature_b64":"hwo867JH4MIBmgFRzGJpHcedLFsSGkslTterv1y2pukDfufETdHF2xZLzf9ydlyxNNRStBJMykKT+8szU4jFDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3e740ef393f4a06de2a3b5752da589a559b7e6871e4b527932e70881fd5337fb","last_reissued_at":"2026-05-18T00:36:25.911856Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:36:25.911856Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.08728","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":"2026-05-18T00:36:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E4SZQW0kLIwb6WZeScKCC9rxW9f9P+9QrgAoghmUgS+dAS0oTsY/SA5rXvPNI0eI3oIA+GXw1A/8Ppb7lmg1Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T17:03:35.168783Z"},"content_sha256":"6c6b8bf39e0e3949696dfdcf7fc75905cba118cd31ca11a170e374208234e14c","schema_version":"1.0","event_id":"sha256:6c6b8bf39e0e3949696dfdcf7fc75905cba118cd31ca11a170e374208234e14c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:HZ2A544T6SQG3YVDWV2S3JMJUV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Curriculum Learning for Multi-Task Classification of Visual Attributes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Christophoros Nikou, Ioannis A. Kakadiaris, Nikolaos Sarafianos, Theodore Giannakopoulos","submitted_at":"2017-08-29T12:40:52Z","abstract_excerpt":"Visual attributes, from simple objects (e.g., backpacks, hats) to soft-biometrics (e.g., gender, height, clothing) have proven to be a powerful representational approach for many applications such as image description and human identification. In this paper, we introduce a novel method to combine the advantages of both multi-task and curriculum learning in a visual attribute classification framework. Individual tasks are grouped based on their correlation so that two groups of strongly and weakly correlated tasks are formed. The two groups of tasks are learned in a curriculum learning setup by"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.08728","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":""},"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":"2026-05-18T00:36:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gBJ8/4VwsQeOP8qbuQvXOG2Pdgi79KNxYplkIQzYVyztq84DaT+CElK/QwmALVB7l9uLUAiCvgcS5q+AjmdyDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T17:03:35.169528Z"},"content_sha256":"7d923c1c77d1df5dfdb3f49d2a2f47e939d0cd7ccdff18cacbfce1ba32293557","schema_version":"1.0","event_id":"sha256:7d923c1c77d1df5dfdb3f49d2a2f47e939d0cd7ccdff18cacbfce1ba32293557"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HZ2A544T6SQG3YVDWV2S3JMJUV/bundle.json","state_url":"https://pith.science/pith/HZ2A544T6SQG3YVDWV2S3JMJUV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HZ2A544T6SQG3YVDWV2S3JMJUV/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":"2026-05-31T17:03:35Z","links":{"resolver":"https://pith.science/pith/HZ2A544T6SQG3YVDWV2S3JMJUV","bundle":"https://pith.science/pith/HZ2A544T6SQG3YVDWV2S3JMJUV/bundle.json","state":"https://pith.science/pith/HZ2A544T6SQG3YVDWV2S3JMJUV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HZ2A544T6SQG3YVDWV2S3JMJUV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:HZ2A544T6SQG3YVDWV2S3JMJUV","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":"c6b5551404ee283a9f6537c334f2d288262d5e54a8764df54eb1e038682eec26","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-29T12:40:52Z","title_canon_sha256":"fca4ca985bb777cfcc2eb52b290c1da6b92bc5792af441c11ef756000da4fdf8"},"schema_version":"1.0","source":{"id":"1708.08728","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.08728","created_at":"2026-05-18T00:36:25Z"},{"alias_kind":"arxiv_version","alias_value":"1708.08728v1","created_at":"2026-05-18T00:36:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.08728","created_at":"2026-05-18T00:36:25Z"},{"alias_kind":"pith_short_12","alias_value":"HZ2A544T6SQG","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"HZ2A544T6SQG3YVD","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"HZ2A544T","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:7d923c1c77d1df5dfdb3f49d2a2f47e939d0cd7ccdff18cacbfce1ba32293557","target":"graph","created_at":"2026-05-18T00:36:25Z","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"},"paper":{"abstract_excerpt":"Visual attributes, from simple objects (e.g., backpacks, hats) to soft-biometrics (e.g., gender, height, clothing) have proven to be a powerful representational approach for many applications such as image description and human identification. In this paper, we introduce a novel method to combine the advantages of both multi-task and curriculum learning in a visual attribute classification framework. Individual tasks are grouped based on their correlation so that two groups of strongly and weakly correlated tasks are formed. The two groups of tasks are learned in a curriculum learning setup by","authors_text":"Christophoros Nikou, Ioannis A. Kakadiaris, Nikolaos Sarafianos, Theodore Giannakopoulos","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-29T12:40:52Z","title":"Curriculum Learning for Multi-Task Classification of Visual Attributes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.08728","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":"sha256:6c6b8bf39e0e3949696dfdcf7fc75905cba118cd31ca11a170e374208234e14c","target":"record","created_at":"2026-05-18T00:36:25Z","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":"c6b5551404ee283a9f6537c334f2d288262d5e54a8764df54eb1e038682eec26","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-29T12:40:52Z","title_canon_sha256":"fca4ca985bb777cfcc2eb52b290c1da6b92bc5792af441c11ef756000da4fdf8"},"schema_version":"1.0","source":{"id":"1708.08728","kind":"arxiv","version":1}},"canonical_sha256":"3e740ef393f4a06de2a3b5752da589a559b7e6871e4b527932e70881fd5337fb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3e740ef393f4a06de2a3b5752da589a559b7e6871e4b527932e70881fd5337fb","first_computed_at":"2026-05-18T00:36:25.911856Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:36:25.911856Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hwo867JH4MIBmgFRzGJpHcedLFsSGkslTterv1y2pukDfufETdHF2xZLzf9ydlyxNNRStBJMykKT+8szU4jFDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:36:25.913109Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.08728","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c6b8bf39e0e3949696dfdcf7fc75905cba118cd31ca11a170e374208234e14c","sha256:7d923c1c77d1df5dfdb3f49d2a2f47e939d0cd7ccdff18cacbfce1ba32293557"],"state_sha256":"e8a69a04bd44523cc4d8c20fb92fe4c91c2e912d386bbf991d875832bf54e122"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nXdLhCBWpjMKGQv9nU8ZeX9wJLbbXt0DhbQTLonb/7pI8mwkzxhO1yYpR0lJCCj9gkHc++Ho00F35IXcWjrUDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T17:03:35.174460Z","bundle_sha256":"c70501c7124af37111d9437558def2e55711e6b2abd9a8766d777a69aa8328b3"}}