{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:65QAYBE7P5Y2JKX6UWNROY7ILK","short_pith_number":"pith:65QAYBE7","canonical_record":{"source":{"id":"1710.08247","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-23T13:01:05Z","cross_cats_sorted":["cs.LG","cs.NE","cs.RO"],"title_canon_sha256":"69886863f97eefd4f9efcc0286d9721c31afd196ec3f9f16b779f4d54233c52d","abstract_canon_sha256":"f6aa416a490b576eb399f9592510993c1013e0259a64a9a4a932f42d3e8bda5d"},"schema_version":"1.0"},"canonical_sha256":"f7600c049f7f71a4aafea59b1763e85a9cd08718abfdb1d052dfdf45b4df8a1a","source":{"kind":"arxiv","id":"1710.08247","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.08247","created_at":"2026-05-18T00:32:16Z"},{"alias_kind":"arxiv_version","alias_value":"1710.08247v1","created_at":"2026-05-18T00:32:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.08247","created_at":"2026-05-18T00:32:16Z"},{"alias_kind":"pith_short_12","alias_value":"65QAYBE7P5Y2","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"65QAYBE7P5Y2JKX6","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"65QAYBE7","created_at":"2026-05-18T12:31:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:65QAYBE7P5Y2JKX6UWNROY7ILK","target":"record","payload":{"canonical_record":{"source":{"id":"1710.08247","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-23T13:01:05Z","cross_cats_sorted":["cs.LG","cs.NE","cs.RO"],"title_canon_sha256":"69886863f97eefd4f9efcc0286d9721c31afd196ec3f9f16b779f4d54233c52d","abstract_canon_sha256":"f6aa416a490b576eb399f9592510993c1013e0259a64a9a4a932f42d3e8bda5d"},"schema_version":"1.0"},"canonical_sha256":"f7600c049f7f71a4aafea59b1763e85a9cd08718abfdb1d052dfdf45b4df8a1a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:32:16.888967Z","signature_b64":"ANSfd2FzHhiBO3v3f087R8tazJeEtPTQAWJjNNvGeHqsBewDao5gos/kV2EzJWP35FYNqiuzJSUFxaaipnmYDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7600c049f7f71a4aafea59b1763e85a9cd08718abfdb1d052dfdf45b4df8a1a","last_reissued_at":"2026-05-18T00:32:16.888361Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:32:16.888361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.08247","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":"2026-05-18T00:32:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tr2GifvJibJZWFmzziIK8VPVyc+5ioTYFQpNVY9oDlXVcPH9IQSm36KlmjBoRPsyE7xsGEE8uNJ6T9zjXsqfAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T11:01:36.801027Z"},"content_sha256":"219bdfd69a54375e8d352e163bd75b1b94549ddfae4d9bf1f6317d315b9b42f8","schema_version":"1.0","event_id":"sha256:219bdfd69a54375e8d352e163bd75b1b94549ddfae4d9bf1f6317d315b9b42f8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:65QAYBE7P5Y2JKX6UWNROY7ILK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generic 3D Representation via Pose Estimation and Matching","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE","cs.RO"],"primary_cat":"cs.CV","authors_text":"Amir R. Zamir, Colin Weil, Jitendra Malik, Pulkit Argrawal, Silvio Savarese, Tilman Wekel","submitted_at":"2017-10-23T13:01:05Z","abstract_excerpt":"Though a large body of computer vision research has investigated developing generic semantic representations, efforts towards developing a similar representation for 3D has been limited. In this paper, we learn a generic 3D representation through solving a set of foundational proxy 3D tasks: object-centric camera pose estimation and wide baseline feature matching. Our method is based upon the premise that by providing supervision over a set of carefully selected foundational tasks, generalization to novel tasks and abstraction capabilities can be achieved. We empirically show that the internal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.08247","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":"2026-05-18T00:32:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YGFFhrDmAeElXhKQpmcc2Sv6wlu5xNq7HwwCWu+nWMF+O5CEfGD0QCFY3Cd0nPUylIlTIw+oHt3yo9G1OTbcAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T11:01:36.801402Z"},"content_sha256":"22ef1f2c8f5acd2088bd6cae289c671e62939be14e02d1adb131128e41065838","schema_version":"1.0","event_id":"sha256:22ef1f2c8f5acd2088bd6cae289c671e62939be14e02d1adb131128e41065838"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/65QAYBE7P5Y2JKX6UWNROY7ILK/bundle.json","state_url":"https://pith.science/pith/65QAYBE7P5Y2JKX6UWNROY7ILK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/65QAYBE7P5Y2JKX6UWNROY7ILK/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":"2026-06-03T11:01:36Z","links":{"resolver":"https://pith.science/pith/65QAYBE7P5Y2JKX6UWNROY7ILK","bundle":"https://pith.science/pith/65QAYBE7P5Y2JKX6UWNROY7ILK/bundle.json","state":"https://pith.science/pith/65QAYBE7P5Y2JKX6UWNROY7ILK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/65QAYBE7P5Y2JKX6UWNROY7ILK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:65QAYBE7P5Y2JKX6UWNROY7ILK","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":"f6aa416a490b576eb399f9592510993c1013e0259a64a9a4a932f42d3e8bda5d","cross_cats_sorted":["cs.LG","cs.NE","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-23T13:01:05Z","title_canon_sha256":"69886863f97eefd4f9efcc0286d9721c31afd196ec3f9f16b779f4d54233c52d"},"schema_version":"1.0","source":{"id":"1710.08247","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.08247","created_at":"2026-05-18T00:32:16Z"},{"alias_kind":"arxiv_version","alias_value":"1710.08247v1","created_at":"2026-05-18T00:32:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.08247","created_at":"2026-05-18T00:32:16Z"},{"alias_kind":"pith_short_12","alias_value":"65QAYBE7P5Y2","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"65QAYBE7P5Y2JKX6","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"65QAYBE7","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:22ef1f2c8f5acd2088bd6cae289c671e62939be14e02d1adb131128e41065838","target":"graph","created_at":"2026-05-18T00:32:16Z","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":"Though a large body of computer vision research has investigated developing generic semantic representations, efforts towards developing a similar representation for 3D has been limited. In this paper, we learn a generic 3D representation through solving a set of foundational proxy 3D tasks: object-centric camera pose estimation and wide baseline feature matching. Our method is based upon the premise that by providing supervision over a set of carefully selected foundational tasks, generalization to novel tasks and abstraction capabilities can be achieved. We empirically show that the internal","authors_text":"Amir R. Zamir, Colin Weil, Jitendra Malik, Pulkit Argrawal, Silvio Savarese, Tilman Wekel","cross_cats":["cs.LG","cs.NE","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-23T13:01:05Z","title":"Generic 3D Representation via Pose Estimation and Matching"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.08247","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":"sha256:219bdfd69a54375e8d352e163bd75b1b94549ddfae4d9bf1f6317d315b9b42f8","target":"record","created_at":"2026-05-18T00:32:16Z","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":"f6aa416a490b576eb399f9592510993c1013e0259a64a9a4a932f42d3e8bda5d","cross_cats_sorted":["cs.LG","cs.NE","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-23T13:01:05Z","title_canon_sha256":"69886863f97eefd4f9efcc0286d9721c31afd196ec3f9f16b779f4d54233c52d"},"schema_version":"1.0","source":{"id":"1710.08247","kind":"arxiv","version":1}},"canonical_sha256":"f7600c049f7f71a4aafea59b1763e85a9cd08718abfdb1d052dfdf45b4df8a1a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7600c049f7f71a4aafea59b1763e85a9cd08718abfdb1d052dfdf45b4df8a1a","first_computed_at":"2026-05-18T00:32:16.888361Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:32:16.888361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ANSfd2FzHhiBO3v3f087R8tazJeEtPTQAWJjNNvGeHqsBewDao5gos/kV2EzJWP35FYNqiuzJSUFxaaipnmYDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:32:16.888967Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.08247","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:219bdfd69a54375e8d352e163bd75b1b94549ddfae4d9bf1f6317d315b9b42f8","sha256:22ef1f2c8f5acd2088bd6cae289c671e62939be14e02d1adb131128e41065838"],"state_sha256":"2786421b423b8cb86a91d4b0e0c6588f6f40f24bd22986412f8057b242467245"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oZ4q2PuQg1WGsNq7hk2g+ClyxDQqNzMVkE/pUaOi8ORVnVXf0uLuuiPbljPIUt0JfbL1zuLpabiwREh2HuKhBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T11:01:36.803288Z","bundle_sha256":"08ea8e116798c6c024c59377dc8694048c5b9fd78af1e194162d6c8aab4c87c3"}}