{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:ZXUIB6KRBE7RVAWVAXUITJAV6K","short_pith_number":"pith:ZXUIB6KR","canonical_record":{"source":{"id":"1804.08328","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T10:46:28Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NE","cs.RO"],"title_canon_sha256":"571e16ae9f829abaacfc643481b82a6c1bf1e2971a0ca9f1dc7abcd7013d3627","abstract_canon_sha256":"3d2865a214ef3ff30f7213779a9eadc8dd5eb55100f7efe6ac6a6eedbe3ef3f0"},"schema_version":"1.0"},"canonical_sha256":"cde880f951093f1a82d505e889a415f2a014b7bd7c3e6a85ee579bc323150063","source":{"kind":"arxiv","id":"1804.08328","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.08328","created_at":"2026-05-18T00:17:48Z"},{"alias_kind":"arxiv_version","alias_value":"1804.08328v1","created_at":"2026-05-18T00:17:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.08328","created_at":"2026-05-18T00:17:48Z"},{"alias_kind":"pith_short_12","alias_value":"ZXUIB6KRBE7R","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZXUIB6KRBE7RVAWV","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZXUIB6KR","created_at":"2026-05-18T12:33:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:ZXUIB6KRBE7RVAWVAXUITJAV6K","target":"record","payload":{"canonical_record":{"source":{"id":"1804.08328","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T10:46:28Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NE","cs.RO"],"title_canon_sha256":"571e16ae9f829abaacfc643481b82a6c1bf1e2971a0ca9f1dc7abcd7013d3627","abstract_canon_sha256":"3d2865a214ef3ff30f7213779a9eadc8dd5eb55100f7efe6ac6a6eedbe3ef3f0"},"schema_version":"1.0"},"canonical_sha256":"cde880f951093f1a82d505e889a415f2a014b7bd7c3e6a85ee579bc323150063","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:48.758994Z","signature_b64":"kFJCuZJbs99tt/XHX9h9PAa+qi+XXIzT5xUI4Y/NMwwa+QUv21qkZFUpAkxHvU0VYSmsq/Fvr9j/8eKddO+ZDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cde880f951093f1a82d505e889a415f2a014b7bd7c3e6a85ee579bc323150063","last_reissued_at":"2026-05-18T00:17:48.758356Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:48.758356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.08328","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":"2026-05-18T00:17:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V3YCyY36uowk0tl1pUTZXTmCWTshvQ27vH3763+eN+kWccZgQtAGuYfPCP1Sf6pTrvFLaZnM5aJIng75O3S4DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T12:18:57.118644Z"},"content_sha256":"f7f77580621c0f5df33b1975c64d11f5aa5c2cbed96bbd0a5f2244f930912769","schema_version":"1.0","event_id":"sha256:f7f77580621c0f5df33b1975c64d11f5aa5c2cbed96bbd0a5f2244f930912769"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:ZXUIB6KRBE7RVAWVAXUITJAV6K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Taskonomy: Disentangling Task Transfer Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.NE","cs.RO"],"primary_cat":"cs.CV","authors_text":"Alexander Sax, Amir Zamir, Jitendra Malik, Leonidas Guibas, Silvio Savarese, William Shen","submitted_at":"2018-04-23T10:46:28Z","abstract_excerpt":"Do visual tasks have a relationship, or are they unrelated? For instance, could having surface normals simplify estimating the depth of an image? Intuition answers these questions positively, implying existence of a structure among visual tasks. Knowing this structure has notable values; it is the concept underlying transfer learning and provides a principled way for identifying redundancies across tasks, e.g., to seamlessly reuse supervision among related tasks or solve many tasks in one system without piling up the complexity.\n  We proposes a fully computational approach for modeling the str"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.08328","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":"2026-05-18T00:17:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GFZtUFyNRbri4nTb1TYpVYgA7n+E9/WxibZ0F5+Hgzewzpl/KZ2FDhIIll0GyLd9e+gYSjnsNwLd9ddvGHbZCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T12:18:57.119325Z"},"content_sha256":"cca900834277a0ba380486c68912d6db9b7f4ad6f6b40c69f81c8faac1bcd863","schema_version":"1.0","event_id":"sha256:cca900834277a0ba380486c68912d6db9b7f4ad6f6b40c69f81c8faac1bcd863"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZXUIB6KRBE7RVAWVAXUITJAV6K/bundle.json","state_url":"https://pith.science/pith/ZXUIB6KRBE7RVAWVAXUITJAV6K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZXUIB6KRBE7RVAWVAXUITJAV6K/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":"2026-05-30T12:18:57Z","links":{"resolver":"https://pith.science/pith/ZXUIB6KRBE7RVAWVAXUITJAV6K","bundle":"https://pith.science/pith/ZXUIB6KRBE7RVAWVAXUITJAV6K/bundle.json","state":"https://pith.science/pith/ZXUIB6KRBE7RVAWVAXUITJAV6K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZXUIB6KRBE7RVAWVAXUITJAV6K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:ZXUIB6KRBE7RVAWVAXUITJAV6K","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":"3d2865a214ef3ff30f7213779a9eadc8dd5eb55100f7efe6ac6a6eedbe3ef3f0","cross_cats_sorted":["cs.AI","cs.LG","cs.NE","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T10:46:28Z","title_canon_sha256":"571e16ae9f829abaacfc643481b82a6c1bf1e2971a0ca9f1dc7abcd7013d3627"},"schema_version":"1.0","source":{"id":"1804.08328","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.08328","created_at":"2026-05-18T00:17:48Z"},{"alias_kind":"arxiv_version","alias_value":"1804.08328v1","created_at":"2026-05-18T00:17:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.08328","created_at":"2026-05-18T00:17:48Z"},{"alias_kind":"pith_short_12","alias_value":"ZXUIB6KRBE7R","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZXUIB6KRBE7RVAWV","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZXUIB6KR","created_at":"2026-05-18T12:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:cca900834277a0ba380486c68912d6db9b7f4ad6f6b40c69f81c8faac1bcd863","target":"graph","created_at":"2026-05-18T00:17:48Z","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":"Do visual tasks have a relationship, or are they unrelated? For instance, could having surface normals simplify estimating the depth of an image? Intuition answers these questions positively, implying existence of a structure among visual tasks. Knowing this structure has notable values; it is the concept underlying transfer learning and provides a principled way for identifying redundancies across tasks, e.g., to seamlessly reuse supervision among related tasks or solve many tasks in one system without piling up the complexity.\n  We proposes a fully computational approach for modeling the str","authors_text":"Alexander Sax, Amir Zamir, Jitendra Malik, Leonidas Guibas, Silvio Savarese, William Shen","cross_cats":["cs.AI","cs.LG","cs.NE","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T10:46:28Z","title":"Taskonomy: Disentangling Task Transfer Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.08328","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:f7f77580621c0f5df33b1975c64d11f5aa5c2cbed96bbd0a5f2244f930912769","target":"record","created_at":"2026-05-18T00:17:48Z","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":"3d2865a214ef3ff30f7213779a9eadc8dd5eb55100f7efe6ac6a6eedbe3ef3f0","cross_cats_sorted":["cs.AI","cs.LG","cs.NE","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T10:46:28Z","title_canon_sha256":"571e16ae9f829abaacfc643481b82a6c1bf1e2971a0ca9f1dc7abcd7013d3627"},"schema_version":"1.0","source":{"id":"1804.08328","kind":"arxiv","version":1}},"canonical_sha256":"cde880f951093f1a82d505e889a415f2a014b7bd7c3e6a85ee579bc323150063","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cde880f951093f1a82d505e889a415f2a014b7bd7c3e6a85ee579bc323150063","first_computed_at":"2026-05-18T00:17:48.758356Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:17:48.758356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kFJCuZJbs99tt/XHX9h9PAa+qi+XXIzT5xUI4Y/NMwwa+QUv21qkZFUpAkxHvU0VYSmsq/Fvr9j/8eKddO+ZDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:17:48.758994Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.08328","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7f77580621c0f5df33b1975c64d11f5aa5c2cbed96bbd0a5f2244f930912769","sha256:cca900834277a0ba380486c68912d6db9b7f4ad6f6b40c69f81c8faac1bcd863"],"state_sha256":"84e8e0150d0839da57df8b3b54539460c108e09020c71425477191806fe223df"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WIX7VzwE9aSBCh9RnZGiuVrYRzpqvdBnoGcucT6aU8uiVQ6vsh8B/55Psy9gNsca6/Y2+ojqkfBNT/zT96riBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T12:18:57.123533Z","bundle_sha256":"73f7a86cbb53c381728a92c4683bd43ce6086440b71a2f9886689569b4b41799"}}