{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:AZ7EU5H3A6KTS3E27V5Q7DKPBL","short_pith_number":"pith:AZ7EU5H3","canonical_record":{"source":{"id":"1310.1531","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-10-06T02:48:17Z","cross_cats_sorted":[],"title_canon_sha256":"274a59d2c0de396f5e42b6eb96cfb2657f7b521a8844deeb9aba079bc0f8f7df","abstract_canon_sha256":"ad08841f9129362906e1000915ad6fe3eb3a94454551be22f9b0b9426c51a8dd"},"schema_version":"1.0"},"canonical_sha256":"067e4a74fb0795396c9afd7b0f8d4f0acc396309aeceea1707d52f170f389884","source":{"kind":"arxiv","id":"1310.1531","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1310.1531","created_at":"2026-05-18T03:11:11Z"},{"alias_kind":"arxiv_version","alias_value":"1310.1531v1","created_at":"2026-05-18T03:11:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.1531","created_at":"2026-05-18T03:11:11Z"},{"alias_kind":"pith_short_12","alias_value":"AZ7EU5H3A6KT","created_at":"2026-05-18T12:27:38Z"},{"alias_kind":"pith_short_16","alias_value":"AZ7EU5H3A6KTS3E2","created_at":"2026-05-18T12:27:38Z"},{"alias_kind":"pith_short_8","alias_value":"AZ7EU5H3","created_at":"2026-05-18T12:27:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:AZ7EU5H3A6KTS3E27V5Q7DKPBL","target":"record","payload":{"canonical_record":{"source":{"id":"1310.1531","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-10-06T02:48:17Z","cross_cats_sorted":[],"title_canon_sha256":"274a59d2c0de396f5e42b6eb96cfb2657f7b521a8844deeb9aba079bc0f8f7df","abstract_canon_sha256":"ad08841f9129362906e1000915ad6fe3eb3a94454551be22f9b0b9426c51a8dd"},"schema_version":"1.0"},"canonical_sha256":"067e4a74fb0795396c9afd7b0f8d4f0acc396309aeceea1707d52f170f389884","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:11:11.625725Z","signature_b64":"U2DZAfuBBGNfnGjYx7Q2g3DLnZNghEhSs4bwb37F2RKLTfJExtedWstvsaChtTnfjdvi7jQi5KyxV6+IwJDLDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"067e4a74fb0795396c9afd7b0f8d4f0acc396309aeceea1707d52f170f389884","last_reissued_at":"2026-05-18T03:11:11.624994Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:11:11.624994Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1310.1531","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":"2026-05-18T03:11:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WHddCye80sRqaj6jgo4IXqQhOpFtzNjTqYauGaGNcFAxr9U0yYyCd3GjVqYqkCstgfWntkzjmYUiXJBZskhEAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T19:05:29.691647Z"},"content_sha256":"a6bb2dfb4e695f2e5c1a30d7d65c36662aec4f3c85eb93907f9bb7954bd1ecf9","schema_version":"1.0","event_id":"sha256:a6bb2dfb4e695f2e5c1a30d7d65c36662aec4f3c85eb93907f9bb7954bd1ecf9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:AZ7EU5H3A6KTS3E27V5Q7DKPBL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Eric Tzeng, Jeff Donahue, Judy Hoffman, Ning Zhang, Oriol Vinyals, Trevor Darrell, Yangqing Jia","submitted_at":"2013-10-06T02:48:17Z","abstract_excerpt":"We evaluate whether features extracted from the activation of a deep convolutional network trained in a fully supervised fashion on a large, fixed set of object recognition tasks can be re-purposed to novel generic tasks. Our generic tasks may differ significantly from the originally trained tasks and there may be insufficient labeled or unlabeled data to conventionally train or adapt a deep architecture to the new tasks. We investigate and visualize the semantic clustering of deep convolutional features with respect to a variety of such tasks, including scene recognition, domain adaptation, a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.1531","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":"2026-05-18T03:11:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rD2b6UGjbE/6cPDRJaONQLBrtxMhKsmdJtDiFW4hXMCbMYuEMn1WzhFfEyerVuBZ0RenJEkrdvZNfftqmGcRAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T19:05:29.692499Z"},"content_sha256":"446d287cb9644c08b65c34c9efc91f3852173a55205be2d6b502028bc352aeeb","schema_version":"1.0","event_id":"sha256:446d287cb9644c08b65c34c9efc91f3852173a55205be2d6b502028bc352aeeb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AZ7EU5H3A6KTS3E27V5Q7DKPBL/bundle.json","state_url":"https://pith.science/pith/AZ7EU5H3A6KTS3E27V5Q7DKPBL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AZ7EU5H3A6KTS3E27V5Q7DKPBL/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":"2026-05-29T19:05:29Z","links":{"resolver":"https://pith.science/pith/AZ7EU5H3A6KTS3E27V5Q7DKPBL","bundle":"https://pith.science/pith/AZ7EU5H3A6KTS3E27V5Q7DKPBL/bundle.json","state":"https://pith.science/pith/AZ7EU5H3A6KTS3E27V5Q7DKPBL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AZ7EU5H3A6KTS3E27V5Q7DKPBL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:AZ7EU5H3A6KTS3E27V5Q7DKPBL","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":"ad08841f9129362906e1000915ad6fe3eb3a94454551be22f9b0b9426c51a8dd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-10-06T02:48:17Z","title_canon_sha256":"274a59d2c0de396f5e42b6eb96cfb2657f7b521a8844deeb9aba079bc0f8f7df"},"schema_version":"1.0","source":{"id":"1310.1531","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1310.1531","created_at":"2026-05-18T03:11:11Z"},{"alias_kind":"arxiv_version","alias_value":"1310.1531v1","created_at":"2026-05-18T03:11:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.1531","created_at":"2026-05-18T03:11:11Z"},{"alias_kind":"pith_short_12","alias_value":"AZ7EU5H3A6KT","created_at":"2026-05-18T12:27:38Z"},{"alias_kind":"pith_short_16","alias_value":"AZ7EU5H3A6KTS3E2","created_at":"2026-05-18T12:27:38Z"},{"alias_kind":"pith_short_8","alias_value":"AZ7EU5H3","created_at":"2026-05-18T12:27:38Z"}],"graph_snapshots":[{"event_id":"sha256:446d287cb9644c08b65c34c9efc91f3852173a55205be2d6b502028bc352aeeb","target":"graph","created_at":"2026-05-18T03:11:11Z","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":"We evaluate whether features extracted from the activation of a deep convolutional network trained in a fully supervised fashion on a large, fixed set of object recognition tasks can be re-purposed to novel generic tasks. Our generic tasks may differ significantly from the originally trained tasks and there may be insufficient labeled or unlabeled data to conventionally train or adapt a deep architecture to the new tasks. We investigate and visualize the semantic clustering of deep convolutional features with respect to a variety of such tasks, including scene recognition, domain adaptation, a","authors_text":"Eric Tzeng, Jeff Donahue, Judy Hoffman, Ning Zhang, Oriol Vinyals, Trevor Darrell, Yangqing Jia","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-10-06T02:48:17Z","title":"DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.1531","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:a6bb2dfb4e695f2e5c1a30d7d65c36662aec4f3c85eb93907f9bb7954bd1ecf9","target":"record","created_at":"2026-05-18T03:11:11Z","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":"ad08841f9129362906e1000915ad6fe3eb3a94454551be22f9b0b9426c51a8dd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-10-06T02:48:17Z","title_canon_sha256":"274a59d2c0de396f5e42b6eb96cfb2657f7b521a8844deeb9aba079bc0f8f7df"},"schema_version":"1.0","source":{"id":"1310.1531","kind":"arxiv","version":1}},"canonical_sha256":"067e4a74fb0795396c9afd7b0f8d4f0acc396309aeceea1707d52f170f389884","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"067e4a74fb0795396c9afd7b0f8d4f0acc396309aeceea1707d52f170f389884","first_computed_at":"2026-05-18T03:11:11.624994Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:11:11.624994Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U2DZAfuBBGNfnGjYx7Q2g3DLnZNghEhSs4bwb37F2RKLTfJExtedWstvsaChtTnfjdvi7jQi5KyxV6+IwJDLDg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:11:11.625725Z","signed_message":"canonical_sha256_bytes"},"source_id":"1310.1531","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6bb2dfb4e695f2e5c1a30d7d65c36662aec4f3c85eb93907f9bb7954bd1ecf9","sha256:446d287cb9644c08b65c34c9efc91f3852173a55205be2d6b502028bc352aeeb"],"state_sha256":"28cc9f9d082175e787dd2a345582557e5e8b2f23e65a349deb80e74fd96e82ee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nyTGd/iZKYdWmKWTX4k0FGk5OciuuDDbfeuC5T5qf50f8JSTsj0j34Qzat/cg4Tn9NUt7qzBjFc7Uc9XQO6qBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T19:05:29.696539Z","bundle_sha256":"d6ec54d1088fb06ebcdfb6b333daa27768d77939d3e1c7a2b4b841cc216014a1"}}