{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:LR5BCRWOAYKSD7R2O5XMISQSTY","short_pith_number":"pith:LR5BCRWO","canonical_record":{"source":{"id":"1811.06518","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2018-11-15T18:30:39Z","cross_cats_sorted":["quant-ph"],"title_canon_sha256":"9a59b2162728e4d5d4296c265bafe2368d09183db9d56e7026205fa6703711eb","abstract_canon_sha256":"790859c2de26dc1a18e0c07517728a355e08789c9f8859f79a6b0126f3bbb9ae"},"schema_version":"1.0"},"canonical_sha256":"5c7a1146ce061521fe3a776ec44a129e0aa4c9b08864abc2d80dab8aa49328ef","source":{"kind":"arxiv","id":"1811.06518","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.06518","created_at":"2026-07-05T03:11:47Z"},{"alias_kind":"arxiv_version","alias_value":"1811.06518v5","created_at":"2026-07-05T03:11:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.06518","created_at":"2026-07-05T03:11:47Z"},{"alias_kind":"pith_short_12","alias_value":"LR5BCRWOAYKS","created_at":"2026-07-05T03:11:47Z"},{"alias_kind":"pith_short_16","alias_value":"LR5BCRWOAYKSD7R2","created_at":"2026-07-05T03:11:47Z"},{"alias_kind":"pith_short_8","alias_value":"LR5BCRWO","created_at":"2026-07-05T03:11:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:LR5BCRWOAYKSD7R2O5XMISQSTY","target":"record","payload":{"canonical_record":{"source":{"id":"1811.06518","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2018-11-15T18:30:39Z","cross_cats_sorted":["quant-ph"],"title_canon_sha256":"9a59b2162728e4d5d4296c265bafe2368d09183db9d56e7026205fa6703711eb","abstract_canon_sha256":"790859c2de26dc1a18e0c07517728a355e08789c9f8859f79a6b0126f3bbb9ae"},"schema_version":"1.0"},"canonical_sha256":"5c7a1146ce061521fe3a776ec44a129e0aa4c9b08864abc2d80dab8aa49328ef","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:11:47.896077Z","signature_b64":"UTpvWiwS2bi/lXreeugwxI3qIADLAnCTC8QhcOno403vg/HnmctdWFUCRYqDRcpvRakN97PgJiDpjfr7nyoHCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c7a1146ce061521fe3a776ec44a129e0aa4c9b08864abc2d80dab8aa49328ef","last_reissued_at":"2026-07-05T03:11:47.895624Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:11:47.895624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.06518","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:11:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dCpsdR9rPtKHirtl5SKgGsSXyjyajXX/dKSlVg+m1zs/oUUUAaQZaVsIzl9k0wy9i+Woq4gJKaeTs+ewClZ/CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:48:21.745174Z"},"content_sha256":"8aecc36a7633b0d8f69f625a393bd51b5fb594767dd99d4689540b3a4f7d0bcb","schema_version":"1.0","event_id":"sha256:8aecc36a7633b0d8f69f625a393bd51b5fb594767dd99d4689540b3a4f7d0bcb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:LR5BCRWOAYKSD7R2O5XMISQSTY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Approximate optimization, sampling and spin-glass droplets discovery with tensor networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["quant-ph"],"primary_cat":"cond-mat.stat-mech","authors_text":"Bart{\\l}omiej Gardas, Daniel Eppens, Konrad Ja{\\l}owiecki, Marek M. Rams, Masoud Mohseni","submitted_at":"2018-11-15T18:30:39Z","abstract_excerpt":"We devise a deterministic algorithm to efficiently sample high-quality solutions of certain spin-glass systems that encode hard optimization problems. We employ tensor networks to represent the Gibbs distribution of all possible configurations. Using approximate tensor-network contractions, we are able to efficiently map the low-energy spectrum of some quasi-two-dimensional Hamiltonians. We exploit the local nature of the problems to compute spin-glass droplets geometries, which provides a new form of compression of the low-energy spectrum. It naturally extends to sampling, which otherwise, fo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.06518","kind":"arxiv","version":5},"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/1811.06518/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":"2026-07-05T03:11:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Vq0UzbDCSwWCx+MAptt7DfgxHipG1E9CBmqRB6yJdriIJOdwmwIz0h13UMT1tQughzchpvmo+WGY8cYV7i+DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:48:21.745575Z"},"content_sha256":"38f29494760be9f7ac3cb814e835165a4cc20b3a221ffb6976bb6796f6e174a1","schema_version":"1.0","event_id":"sha256:38f29494760be9f7ac3cb814e835165a4cc20b3a221ffb6976bb6796f6e174a1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LR5BCRWOAYKSD7R2O5XMISQSTY/bundle.json","state_url":"https://pith.science/pith/LR5BCRWOAYKSD7R2O5XMISQSTY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LR5BCRWOAYKSD7R2O5XMISQSTY/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":"2026-07-06T18:48:21Z","links":{"resolver":"https://pith.science/pith/LR5BCRWOAYKSD7R2O5XMISQSTY","bundle":"https://pith.science/pith/LR5BCRWOAYKSD7R2O5XMISQSTY/bundle.json","state":"https://pith.science/pith/LR5BCRWOAYKSD7R2O5XMISQSTY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LR5BCRWOAYKSD7R2O5XMISQSTY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LR5BCRWOAYKSD7R2O5XMISQSTY","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":"790859c2de26dc1a18e0c07517728a355e08789c9f8859f79a6b0126f3bbb9ae","cross_cats_sorted":["quant-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2018-11-15T18:30:39Z","title_canon_sha256":"9a59b2162728e4d5d4296c265bafe2368d09183db9d56e7026205fa6703711eb"},"schema_version":"1.0","source":{"id":"1811.06518","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.06518","created_at":"2026-07-05T03:11:47Z"},{"alias_kind":"arxiv_version","alias_value":"1811.06518v5","created_at":"2026-07-05T03:11:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.06518","created_at":"2026-07-05T03:11:47Z"},{"alias_kind":"pith_short_12","alias_value":"LR5BCRWOAYKS","created_at":"2026-07-05T03:11:47Z"},{"alias_kind":"pith_short_16","alias_value":"LR5BCRWOAYKSD7R2","created_at":"2026-07-05T03:11:47Z"},{"alias_kind":"pith_short_8","alias_value":"LR5BCRWO","created_at":"2026-07-05T03:11:47Z"}],"graph_snapshots":[{"event_id":"sha256:38f29494760be9f7ac3cb814e835165a4cc20b3a221ffb6976bb6796f6e174a1","target":"graph","created_at":"2026-07-05T03:11:47Z","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/1811.06518/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We devise a deterministic algorithm to efficiently sample high-quality solutions of certain spin-glass systems that encode hard optimization problems. We employ tensor networks to represent the Gibbs distribution of all possible configurations. Using approximate tensor-network contractions, we are able to efficiently map the low-energy spectrum of some quasi-two-dimensional Hamiltonians. We exploit the local nature of the problems to compute spin-glass droplets geometries, which provides a new form of compression of the low-energy spectrum. It naturally extends to sampling, which otherwise, fo","authors_text":"Bart{\\l}omiej Gardas, Daniel Eppens, Konrad Ja{\\l}owiecki, Marek M. Rams, Masoud Mohseni","cross_cats":["quant-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2018-11-15T18:30:39Z","title":"Approximate optimization, sampling and spin-glass droplets discovery with tensor networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.06518","kind":"arxiv","version":5},"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":"sha256:8aecc36a7633b0d8f69f625a393bd51b5fb594767dd99d4689540b3a4f7d0bcb","target":"record","created_at":"2026-07-05T03:11:47Z","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":"790859c2de26dc1a18e0c07517728a355e08789c9f8859f79a6b0126f3bbb9ae","cross_cats_sorted":["quant-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2018-11-15T18:30:39Z","title_canon_sha256":"9a59b2162728e4d5d4296c265bafe2368d09183db9d56e7026205fa6703711eb"},"schema_version":"1.0","source":{"id":"1811.06518","kind":"arxiv","version":5}},"canonical_sha256":"5c7a1146ce061521fe3a776ec44a129e0aa4c9b08864abc2d80dab8aa49328ef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c7a1146ce061521fe3a776ec44a129e0aa4c9b08864abc2d80dab8aa49328ef","first_computed_at":"2026-07-05T03:11:47.895624Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:11:47.895624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UTpvWiwS2bi/lXreeugwxI3qIADLAnCTC8QhcOno403vg/HnmctdWFUCRYqDRcpvRakN97PgJiDpjfr7nyoHCA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:11:47.896077Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.06518","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8aecc36a7633b0d8f69f625a393bd51b5fb594767dd99d4689540b3a4f7d0bcb","sha256:38f29494760be9f7ac3cb814e835165a4cc20b3a221ffb6976bb6796f6e174a1"],"state_sha256":"6095a98060e890b51c77d0498c7b10b50d2810fc0f177d8806c7c4ef20598b7e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xEndyJ05Kd+Z0oVatTR0tviWFEd/aclbpnDLN4/lwGj98tNZQG9OcOms0YvNHNNzJhpQ/cGIDYXwBK/UwQEYDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:48:21.747787Z","bundle_sha256":"82c0822e3f386eee55a0871b4e91d9e5b3dd5a3011ea580b20f076d6dc01b9d3"}}