{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:2YQDUBY6PKIXHZDO2QAOBGIS67","short_pith_number":"pith:2YQDUBY6","canonical_record":{"source":{"id":"1808.06675","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-20T19:58:35Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0b32b74c707cb32e03a650631953aed916d2c00961edf21b5083fde06033752b","abstract_canon_sha256":"e09abf3f934f17c84abb9feffb214f6ebd1b2d3602e927b50df1e2b25406f0ae"},"schema_version":"1.0"},"canonical_sha256":"d6203a071e7a9173e46ed400e09912f7e11db0046e2a1b29bf77b5ce25532d2e","source":{"kind":"arxiv","id":"1808.06675","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.06675","created_at":"2026-05-18T00:07:39Z"},{"alias_kind":"arxiv_version","alias_value":"1808.06675v1","created_at":"2026-05-18T00:07:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.06675","created_at":"2026-05-18T00:07:39Z"},{"alias_kind":"pith_short_12","alias_value":"2YQDUBY6PKIX","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"2YQDUBY6PKIXHZDO","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"2YQDUBY6","created_at":"2026-05-18T12:32:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:2YQDUBY6PKIXHZDO2QAOBGIS67","target":"record","payload":{"canonical_record":{"source":{"id":"1808.06675","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-20T19:58:35Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0b32b74c707cb32e03a650631953aed916d2c00961edf21b5083fde06033752b","abstract_canon_sha256":"e09abf3f934f17c84abb9feffb214f6ebd1b2d3602e927b50df1e2b25406f0ae"},"schema_version":"1.0"},"canonical_sha256":"d6203a071e7a9173e46ed400e09912f7e11db0046e2a1b29bf77b5ce25532d2e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:07:39.453234Z","signature_b64":"cEskDO9/PmR1liy9PYoz7F6v5nno8fjZvpdiGbdypnNGMjCTKTxrPeF2mPlacjohaZGOdGVCv6II8ykdEj1BBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6203a071e7a9173e46ed400e09912f7e11db0046e2a1b29bf77b5ce25532d2e","last_reissued_at":"2026-05-18T00:07:39.452572Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:07:39.452572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.06675","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":"2026-05-18T00:07:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6lYL1HTkup03HEauKXCBacuT0EPJOGoMy/vkRLRa9NZKJtQPXox/HElp6Lbcmm2EilkpFwNd5eibyMVa4UkDAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T09:11:05.752892Z"},"content_sha256":"44f1144fde4fd144254902861edb8aefc6c869153b3f87aba4a09fc407e010b2","schema_version":"1.0","event_id":"sha256:44f1144fde4fd144254902861edb8aefc6c869153b3f87aba4a09fc407e010b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:2YQDUBY6PKIXHZDO2QAOBGIS67","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Class2Str: End to End Latent Hierarchy Learning","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"C.V.Jawahar, Girish Varma, Soham Saha","submitted_at":"2018-08-20T19:58:35Z","abstract_excerpt":"Deep neural networks for image classification typically consists of a convolutional feature extractor followed by a fully connected classifier network. The predicted and the ground truth labels are represented as one hot vectors. Such a representation assumes that all classes are equally dissimilar. However, classes have visual similarities and often form a hierarchy. Learning this latent hierarchy explicitly in the architecture could provide invaluable insights. We propose an alternate architecture to the classifier network called the Latent Hierarchy (LH) Classifier and an end to end learned"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.06675","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":"2026-05-18T00:07:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c3VjahdQevVFp2KsIdMEXyK3yi6L0WtkOS6cUChOJNBYPFYxhXUTZTGWsAqY/vTfoDqGsvnuYgl5lgnWTdlpDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T09:11:05.753387Z"},"content_sha256":"2689d86b569367579af9e42ed553303a50ab4b1ca09e52f4ebb31e3c6a21a21d","schema_version":"1.0","event_id":"sha256:2689d86b569367579af9e42ed553303a50ab4b1ca09e52f4ebb31e3c6a21a21d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2YQDUBY6PKIXHZDO2QAOBGIS67/bundle.json","state_url":"https://pith.science/pith/2YQDUBY6PKIXHZDO2QAOBGIS67/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2YQDUBY6PKIXHZDO2QAOBGIS67/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":"2026-05-26T09:11:05Z","links":{"resolver":"https://pith.science/pith/2YQDUBY6PKIXHZDO2QAOBGIS67","bundle":"https://pith.science/pith/2YQDUBY6PKIXHZDO2QAOBGIS67/bundle.json","state":"https://pith.science/pith/2YQDUBY6PKIXHZDO2QAOBGIS67/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2YQDUBY6PKIXHZDO2QAOBGIS67/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:2YQDUBY6PKIXHZDO2QAOBGIS67","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":"e09abf3f934f17c84abb9feffb214f6ebd1b2d3602e927b50df1e2b25406f0ae","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-20T19:58:35Z","title_canon_sha256":"0b32b74c707cb32e03a650631953aed916d2c00961edf21b5083fde06033752b"},"schema_version":"1.0","source":{"id":"1808.06675","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.06675","created_at":"2026-05-18T00:07:39Z"},{"alias_kind":"arxiv_version","alias_value":"1808.06675v1","created_at":"2026-05-18T00:07:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.06675","created_at":"2026-05-18T00:07:39Z"},{"alias_kind":"pith_short_12","alias_value":"2YQDUBY6PKIX","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"2YQDUBY6PKIXHZDO","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"2YQDUBY6","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:2689d86b569367579af9e42ed553303a50ab4b1ca09e52f4ebb31e3c6a21a21d","target":"graph","created_at":"2026-05-18T00:07:39Z","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"},"paper":{"abstract_excerpt":"Deep neural networks for image classification typically consists of a convolutional feature extractor followed by a fully connected classifier network. The predicted and the ground truth labels are represented as one hot vectors. Such a representation assumes that all classes are equally dissimilar. However, classes have visual similarities and often form a hierarchy. Learning this latent hierarchy explicitly in the architecture could provide invaluable insights. We propose an alternate architecture to the classifier network called the Latent Hierarchy (LH) Classifier and an end to end learned","authors_text":"C.V.Jawahar, Girish Varma, Soham Saha","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-20T19:58:35Z","title":"Class2Str: End to End Latent Hierarchy Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.06675","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":"sha256:44f1144fde4fd144254902861edb8aefc6c869153b3f87aba4a09fc407e010b2","target":"record","created_at":"2026-05-18T00:07:39Z","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":"e09abf3f934f17c84abb9feffb214f6ebd1b2d3602e927b50df1e2b25406f0ae","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-20T19:58:35Z","title_canon_sha256":"0b32b74c707cb32e03a650631953aed916d2c00961edf21b5083fde06033752b"},"schema_version":"1.0","source":{"id":"1808.06675","kind":"arxiv","version":1}},"canonical_sha256":"d6203a071e7a9173e46ed400e09912f7e11db0046e2a1b29bf77b5ce25532d2e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d6203a071e7a9173e46ed400e09912f7e11db0046e2a1b29bf77b5ce25532d2e","first_computed_at":"2026-05-18T00:07:39.452572Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:39.452572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cEskDO9/PmR1liy9PYoz7F6v5nno8fjZvpdiGbdypnNGMjCTKTxrPeF2mPlacjohaZGOdGVCv6II8ykdEj1BBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:39.453234Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.06675","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:44f1144fde4fd144254902861edb8aefc6c869153b3f87aba4a09fc407e010b2","sha256:2689d86b569367579af9e42ed553303a50ab4b1ca09e52f4ebb31e3c6a21a21d"],"state_sha256":"0a4d8f7ff07dd59e8f2535ad52841191486c102b7be96fd6a289090baa045fca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C1YcBCmGfIesb5ZxGZjf5mAtmc4V+S8EWoyXdIzUXmQqbjcJUtHUbpfN9lmSOUTpfERtBqP/UgIsdF/bbMJKBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T09:11:05.756304Z","bundle_sha256":"734f159efcdcb9445f2e21cf885cb9c5edbfd658dc2324e5dd39ec5b78fabf1e"}}