{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:BXY4RT3DN3RQBGZYYGA5OCCOLX","short_pith_number":"pith:BXY4RT3D","canonical_record":{"source":{"id":"1706.03459","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2017-06-12T04:03:15Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"5f1fbb8abe4e14c4f4dac5ac2f05692a7a13344037b3a26b6a4286b1f1c06323","abstract_canon_sha256":"b59826869bebff17e8a2fe70cde3cb45a352dc390e85bf1717d5e62899cc8ff8"},"schema_version":"1.0"},"canonical_sha256":"0df1c8cf636ee3009b38c181d7084e5dddbe66b683aaeb1cd6fce7483d3de017","source":{"kind":"arxiv","id":"1706.03459","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.03459","created_at":"2026-07-05T05:06:26Z"},{"alias_kind":"arxiv_version","alias_value":"1706.03459v6","created_at":"2026-07-05T05:06:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.03459","created_at":"2026-07-05T05:06:26Z"},{"alias_kind":"pith_short_12","alias_value":"BXY4RT3DN3RQ","created_at":"2026-07-05T05:06:26Z"},{"alias_kind":"pith_short_16","alias_value":"BXY4RT3DN3RQBGZY","created_at":"2026-07-05T05:06:26Z"},{"alias_kind":"pith_short_8","alias_value":"BXY4RT3D","created_at":"2026-07-05T05:06:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:BXY4RT3DN3RQBGZYYGA5OCCOLX","target":"record","payload":{"canonical_record":{"source":{"id":"1706.03459","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2017-06-12T04:03:15Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"5f1fbb8abe4e14c4f4dac5ac2f05692a7a13344037b3a26b6a4286b1f1c06323","abstract_canon_sha256":"b59826869bebff17e8a2fe70cde3cb45a352dc390e85bf1717d5e62899cc8ff8"},"schema_version":"1.0"},"canonical_sha256":"0df1c8cf636ee3009b38c181d7084e5dddbe66b683aaeb1cd6fce7483d3de017","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:06:26.502002Z","signature_b64":"Yhvq1Y6Sqrv2agODbfQ5UEVN9+0L1fo+emFEUChwZ2PRZoFuEVAsvW/JbqaLFoHH41OtixlufMRRkn9CGTW+Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0df1c8cf636ee3009b38c181d7084e5dddbe66b683aaeb1cd6fce7483d3de017","last_reissued_at":"2026-07-05T05:06:26.501590Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:06:26.501590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.03459","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:06:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VYs4vEUSOiIqTw+vh6BDcyZABUklJogX9g4TAui78B47kxZkkk8Sf6x/0z4eqkyNVY9BXQr1xW4Z2BSCS27TAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T19:49:27.816976Z"},"content_sha256":"8f67da86e3632fccb5bad817f7b7bd5411ea4d1091ebb14222efae6ed170b1ed","schema_version":"1.0","event_id":"sha256:8f67da86e3632fccb5bad817f7b7bd5411ea4d1091ebb14222efae6ed170b1ed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:BXY4RT3DN3RQBGZYYGA5OCCOLX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimal Auctions through Deep Learning: Advances in Differentiable Economics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.GT","authors_text":"David C. Parkes, Harikrishna Narasimhan, Paul D\\\"utting, Sai Srivatsa Ravindranath, Zhe Feng","submitted_at":"2017-06-12T04:03:15Z","abstract_excerpt":"Designing an incentive compatible auction that maximizes expected revenue is an intricate task. The single-item case was resolved in a seminal piece of work by Myerson in 1981, but more than 40 years later a full analytical understanding of the optimal design still remains elusive for settings with two or more items. In this work, we initiate the exploration of the use of tools from deep learning for the automated design of optimal auctions. We model an auction as a multi-layer neural network, frame optimal auction design as a constrained learning problem, and show how it can be solved using s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.03459","kind":"arxiv","version":6},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1706.03459/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T05:06:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X7EK4WlkB37CL8weYJhAqawuhMxuBqoI2S+MhWzdu6FiRxRG7vlfgSHl0jy2qQFmmgYVnCp3+LlBhfz7tS1VBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T19:49:27.817505Z"},"content_sha256":"c18acd826c30e0bcb71298d22d5782512261d2a2b001d9e5ff00a938061633d8","schema_version":"1.0","event_id":"sha256:c18acd826c30e0bcb71298d22d5782512261d2a2b001d9e5ff00a938061633d8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BXY4RT3DN3RQBGZYYGA5OCCOLX/bundle.json","state_url":"https://pith.science/pith/BXY4RT3DN3RQBGZYYGA5OCCOLX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BXY4RT3DN3RQBGZYYGA5OCCOLX/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":"2026-08-18T19:49:27Z","links":{"resolver":"https://pith.science/pith/BXY4RT3DN3RQBGZYYGA5OCCOLX","bundle":"https://pith.science/pith/BXY4RT3DN3RQBGZYYGA5OCCOLX/bundle.json","state":"https://pith.science/pith/BXY4RT3DN3RQBGZYYGA5OCCOLX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BXY4RT3DN3RQBGZYYGA5OCCOLX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:BXY4RT3DN3RQBGZYYGA5OCCOLX","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":"b59826869bebff17e8a2fe70cde3cb45a352dc390e85bf1717d5e62899cc8ff8","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2017-06-12T04:03:15Z","title_canon_sha256":"5f1fbb8abe4e14c4f4dac5ac2f05692a7a13344037b3a26b6a4286b1f1c06323"},"schema_version":"1.0","source":{"id":"1706.03459","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.03459","created_at":"2026-07-05T05:06:26Z"},{"alias_kind":"arxiv_version","alias_value":"1706.03459v6","created_at":"2026-07-05T05:06:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.03459","created_at":"2026-07-05T05:06:26Z"},{"alias_kind":"pith_short_12","alias_value":"BXY4RT3DN3RQ","created_at":"2026-07-05T05:06:26Z"},{"alias_kind":"pith_short_16","alias_value":"BXY4RT3DN3RQBGZY","created_at":"2026-07-05T05:06:26Z"},{"alias_kind":"pith_short_8","alias_value":"BXY4RT3D","created_at":"2026-07-05T05:06:26Z"}],"graph_snapshots":[{"event_id":"sha256:c18acd826c30e0bcb71298d22d5782512261d2a2b001d9e5ff00a938061633d8","target":"graph","created_at":"2026-07-05T05:06:26Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1706.03459/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Designing an incentive compatible auction that maximizes expected revenue is an intricate task. The single-item case was resolved in a seminal piece of work by Myerson in 1981, but more than 40 years later a full analytical understanding of the optimal design still remains elusive for settings with two or more items. In this work, we initiate the exploration of the use of tools from deep learning for the automated design of optimal auctions. We model an auction as a multi-layer neural network, frame optimal auction design as a constrained learning problem, and show how it can be solved using s","authors_text":"David C. Parkes, Harikrishna Narasimhan, Paul D\\\"utting, Sai Srivatsa Ravindranath, Zhe Feng","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2017-06-12T04:03:15Z","title":"Optimal Auctions through Deep Learning: Advances in Differentiable Economics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.03459","kind":"arxiv","version":6},"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":"sha256:8f67da86e3632fccb5bad817f7b7bd5411ea4d1091ebb14222efae6ed170b1ed","target":"record","created_at":"2026-07-05T05:06:26Z","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":"b59826869bebff17e8a2fe70cde3cb45a352dc390e85bf1717d5e62899cc8ff8","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2017-06-12T04:03:15Z","title_canon_sha256":"5f1fbb8abe4e14c4f4dac5ac2f05692a7a13344037b3a26b6a4286b1f1c06323"},"schema_version":"1.0","source":{"id":"1706.03459","kind":"arxiv","version":6}},"canonical_sha256":"0df1c8cf636ee3009b38c181d7084e5dddbe66b683aaeb1cd6fce7483d3de017","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0df1c8cf636ee3009b38c181d7084e5dddbe66b683aaeb1cd6fce7483d3de017","first_computed_at":"2026-07-05T05:06:26.501590Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:06:26.501590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yhvq1Y6Sqrv2agODbfQ5UEVN9+0L1fo+emFEUChwZ2PRZoFuEVAsvW/JbqaLFoHH41OtixlufMRRkn9CGTW+Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:06:26.502002Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.03459","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8f67da86e3632fccb5bad817f7b7bd5411ea4d1091ebb14222efae6ed170b1ed","sha256:c18acd826c30e0bcb71298d22d5782512261d2a2b001d9e5ff00a938061633d8"],"state_sha256":"b8b86d2da864bb31422cc9c347d7f7d02a8240b8a0de4cfb75925a0ce747f3bd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kPENtcjqzEO9YfWcBT1XLqGLRPz/cS0uhaWYKB9ZwgTjY/Bn0xMwycCMMDksVwJ+Jo9AKrPECB3/B22xlh6YDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T19:49:27.823624Z","bundle_sha256":"ef755144f4994a8b067a4c01c1d15a7db884afc7fe3d36420cf4ffd6259cfe85"}}