{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:HP4EYNGXSUOSZSMGEG2YHT7LVA","short_pith_number":"pith:HP4EYNGX","canonical_record":{"source":{"id":"1707.00860","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-04T09:00:38Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"a6684a2523dad4502ec779cc62112acf29aebef22cc440e02510309a939354a9","abstract_canon_sha256":"fa2589b63d7ff8dfdc417804a200c89902562a6a52010e24952487945b9b889d"},"schema_version":"1.0"},"canonical_sha256":"3bf84c34d7951d2cc98621b583cfeba8006848285abd57156eada4091e8a5bfd","source":{"kind":"arxiv","id":"1707.00860","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.00860","created_at":"2026-05-18T00:39:25Z"},{"alias_kind":"arxiv_version","alias_value":"1707.00860v2","created_at":"2026-05-18T00:39:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.00860","created_at":"2026-05-18T00:39:25Z"},{"alias_kind":"pith_short_12","alias_value":"HP4EYNGXSUOS","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HP4EYNGXSUOSZSMG","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HP4EYNGX","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:HP4EYNGXSUOSZSMGEG2YHT7LVA","target":"record","payload":{"canonical_record":{"source":{"id":"1707.00860","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-04T09:00:38Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"a6684a2523dad4502ec779cc62112acf29aebef22cc440e02510309a939354a9","abstract_canon_sha256":"fa2589b63d7ff8dfdc417804a200c89902562a6a52010e24952487945b9b889d"},"schema_version":"1.0"},"canonical_sha256":"3bf84c34d7951d2cc98621b583cfeba8006848285abd57156eada4091e8a5bfd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:25.490101Z","signature_b64":"SOdU1Rxi+g5TOt65I2PyTmCvTk6CBmezxAMGFDY5URXOuiRhALJ3i2ErhooA1FRdcloP3pHZBzYd4M3jz/9gAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3bf84c34d7951d2cc98621b583cfeba8006848285abd57156eada4091e8a5bfd","last_reissued_at":"2026-05-18T00:39:25.489444Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:25.489444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.00860","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:39:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xBs1cBeeNLWX//5U8v+kYqslUysLUz6icsra9DnypZ1DbUnWXaAQoH5EjSswCxgyxK7Ph2NrjsgVDZ6RZVzXAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T14:49:26.220343Z"},"content_sha256":"e962dfafe70901430834e77ee917092bf82360a3c18d789fb4ddbfc198b5a6f7","schema_version":"1.0","event_id":"sha256:e962dfafe70901430834e77ee917092bf82360a3c18d789fb4ddbfc198b5a6f7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:HP4EYNGXSUOSZSMGEG2YHT7LVA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conditional generation of multi-modal data using constrained embedding space mapping","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana, Sakyasingha Dasgupta, Subhajit Chaudhury","submitted_at":"2017-07-04T09:00:38Z","abstract_excerpt":"We present a conditional generative model that maps low-dimensional embeddings of multiple modalities of data to a common latent space hence extracting semantic relationships between them. The embedding specific to a modality is first extracted and subsequently a constrained optimization procedure is performed to project the two embedding spaces to a common manifold. The individual embeddings are generated back from this common latent space. However, in order to enable independent conditional inference for separately extracting the corresponding embeddings from the common latent space represen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.00860","kind":"arxiv","version":2},"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":"2026-05-18T00:39:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DTfhrS68ph5BVovsuwgwFJasHA6OqFKb2x+dLMzw742HQItXgUUbixAXAEF4KUm6QXDtfO83UdOq+nyyayCVDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T14:49:26.220702Z"},"content_sha256":"863c14a06ab745e9d55145a136a6b323c69c737a56ed94c8593c9cdc965670aa","schema_version":"1.0","event_id":"sha256:863c14a06ab745e9d55145a136a6b323c69c737a56ed94c8593c9cdc965670aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HP4EYNGXSUOSZSMGEG2YHT7LVA/bundle.json","state_url":"https://pith.science/pith/HP4EYNGXSUOSZSMGEG2YHT7LVA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HP4EYNGXSUOSZSMGEG2YHT7LVA/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":"2026-06-22T14:49:26Z","links":{"resolver":"https://pith.science/pith/HP4EYNGXSUOSZSMGEG2YHT7LVA","bundle":"https://pith.science/pith/HP4EYNGXSUOSZSMGEG2YHT7LVA/bundle.json","state":"https://pith.science/pith/HP4EYNGXSUOSZSMGEG2YHT7LVA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HP4EYNGXSUOSZSMGEG2YHT7LVA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:HP4EYNGXSUOSZSMGEG2YHT7LVA","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":"fa2589b63d7ff8dfdc417804a200c89902562a6a52010e24952487945b9b889d","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-04T09:00:38Z","title_canon_sha256":"a6684a2523dad4502ec779cc62112acf29aebef22cc440e02510309a939354a9"},"schema_version":"1.0","source":{"id":"1707.00860","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.00860","created_at":"2026-05-18T00:39:25Z"},{"alias_kind":"arxiv_version","alias_value":"1707.00860v2","created_at":"2026-05-18T00:39:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.00860","created_at":"2026-05-18T00:39:25Z"},{"alias_kind":"pith_short_12","alias_value":"HP4EYNGXSUOS","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HP4EYNGXSUOSZSMG","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HP4EYNGX","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:863c14a06ab745e9d55145a136a6b323c69c737a56ed94c8593c9cdc965670aa","target":"graph","created_at":"2026-05-18T00:39:25Z","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":"We present a conditional generative model that maps low-dimensional embeddings of multiple modalities of data to a common latent space hence extracting semantic relationships between them. The embedding specific to a modality is first extracted and subsequently a constrained optimization procedure is performed to project the two embedding spaces to a common manifold. The individual embeddings are generated back from this common latent space. However, in order to enable independent conditional inference for separately extracting the corresponding embeddings from the common latent space represen","authors_text":"Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana, Sakyasingha Dasgupta, Subhajit Chaudhury","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-04T09:00:38Z","title":"Conditional generation of multi-modal data using constrained embedding space mapping"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.00860","kind":"arxiv","version":2},"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:e962dfafe70901430834e77ee917092bf82360a3c18d789fb4ddbfc198b5a6f7","target":"record","created_at":"2026-05-18T00:39:25Z","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":"fa2589b63d7ff8dfdc417804a200c89902562a6a52010e24952487945b9b889d","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-04T09:00:38Z","title_canon_sha256":"a6684a2523dad4502ec779cc62112acf29aebef22cc440e02510309a939354a9"},"schema_version":"1.0","source":{"id":"1707.00860","kind":"arxiv","version":2}},"canonical_sha256":"3bf84c34d7951d2cc98621b583cfeba8006848285abd57156eada4091e8a5bfd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3bf84c34d7951d2cc98621b583cfeba8006848285abd57156eada4091e8a5bfd","first_computed_at":"2026-05-18T00:39:25.489444Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:39:25.489444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SOdU1Rxi+g5TOt65I2PyTmCvTk6CBmezxAMGFDY5URXOuiRhALJ3i2ErhooA1FRdcloP3pHZBzYd4M3jz/9gAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:39:25.490101Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.00860","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e962dfafe70901430834e77ee917092bf82360a3c18d789fb4ddbfc198b5a6f7","sha256:863c14a06ab745e9d55145a136a6b323c69c737a56ed94c8593c9cdc965670aa"],"state_sha256":"3180fbdfab1dbe2fa3434b1a99b34cf5c9a49d326cf281c973e32ead81edb277"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BGl56QsJifx9Lqls6E6HaJBjUcmJgRg3tzvcKNn8LYkQZUXqMLk/GnrADffRRJ1N80CDj8qSyUXX8XNsi438BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-22T14:49:26.222700Z","bundle_sha256":"ed1fed0546e12b5bafe71a4f3ea802621891c32e210dff800b44693e94d4396f"}}