{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:BCH2WOSN4VX7L3NWXHHG7IO3XW","short_pith_number":"pith:BCH2WOSN","schema_version":"1.0","canonical_sha256":"088fab3a4de56ff5edb6b9ce6fa1dbbda65e40e63e29ca9db7e5fc5e518df8eb","source":{"kind":"arxiv","id":"1611.05877","version":1},"attestation_state":"computed","paper":{"title":"Holographic Dynamics from Multiscale Entanglement Renormalization Ansatz","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-th"],"primary_cat":"cond-mat.str-el","authors_text":"Apoorv Tiwari, Shinsei Ryu, Vasilios Passias, Victor Chua","submitted_at":"2016-11-17T21:00:06Z","abstract_excerpt":"The Multiscale Entanglement Renormalization Ansatz (MERA) is a tensor network based variational ansatz that is capable of capturing many of the key physical properties of strongly correlated ground states such as criticality and topological order. MERA also shares many deep relationships with the AdS/CFT (gauge-gravity) correspondence by realizing a UV complete holographic duality within the tensor networks framework. Motivated by this, we have re-purposed the MERA tensor network as an analysis tool to study the real-time evolution of the 1D transverse Ising model in its low energy excited sta"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1611.05877","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.str-el","submitted_at":"2016-11-17T21:00:06Z","cross_cats_sorted":["hep-th"],"title_canon_sha256":"df31b7b0e5af2aec9c830ea9bdf829f0f6a83dcaf9d8233d3e131ee87bfd3792","abstract_canon_sha256":"335675fd854e41c989ad1842e7434373d65f80218b612e450b0153be429770b8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:29.961238Z","signature_b64":"OiKZTGUqeoneFFr1Dtcwg84G5dl0sjDahghk1dgSUgulTxdJH+l2TBm3/A06Ak9IKE0zxmUA1Duq8vIUVAKRCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"088fab3a4de56ff5edb6b9ce6fa1dbbda65e40e63e29ca9db7e5fc5e518df8eb","last_reissued_at":"2026-05-18T00:43:29.960736Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:29.960736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Holographic Dynamics from Multiscale Entanglement Renormalization Ansatz","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-th"],"primary_cat":"cond-mat.str-el","authors_text":"Apoorv Tiwari, Shinsei Ryu, Vasilios Passias, Victor Chua","submitted_at":"2016-11-17T21:00:06Z","abstract_excerpt":"The Multiscale Entanglement Renormalization Ansatz (MERA) is a tensor network based variational ansatz that is capable of capturing many of the key physical properties of strongly correlated ground states such as criticality and topological order. MERA also shares many deep relationships with the AdS/CFT (gauge-gravity) correspondence by realizing a UV complete holographic duality within the tensor networks framework. Motivated by this, we have re-purposed the MERA tensor network as an analysis tool to study the real-time evolution of the 1D transverse Ising model in its low energy excited sta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.05877","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1611.05877","created_at":"2026-05-18T00:43:29.960817+00:00"},{"alias_kind":"arxiv_version","alias_value":"1611.05877v1","created_at":"2026-05-18T00:43:29.960817+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.05877","created_at":"2026-05-18T00:43:29.960817+00:00"},{"alias_kind":"pith_short_12","alias_value":"BCH2WOSN4VX7","created_at":"2026-05-18T12:30:07.202191+00:00"},{"alias_kind":"pith_short_16","alias_value":"BCH2WOSN4VX7L3NW","created_at":"2026-05-18T12:30:07.202191+00:00"},{"alias_kind":"pith_short_8","alias_value":"BCH2WOSN","created_at":"2026-05-18T12:30:07.202191+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BCH2WOSN4VX7L3NWXHHG7IO3XW","json":"https://pith.science/pith/BCH2WOSN4VX7L3NWXHHG7IO3XW.json","graph_json":"https://pith.science/api/pith-number/BCH2WOSN4VX7L3NWXHHG7IO3XW/graph.json","events_json":"https://pith.science/api/pith-number/BCH2WOSN4VX7L3NWXHHG7IO3XW/events.json","paper":"https://pith.science/paper/BCH2WOSN"},"agent_actions":{"view_html":"https://pith.science/pith/BCH2WOSN4VX7L3NWXHHG7IO3XW","download_json":"https://pith.science/pith/BCH2WOSN4VX7L3NWXHHG7IO3XW.json","view_paper":"https://pith.science/paper/BCH2WOSN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1611.05877&json=true","fetch_graph":"https://pith.science/api/pith-number/BCH2WOSN4VX7L3NWXHHG7IO3XW/graph.json","fetch_events":"https://pith.science/api/pith-number/BCH2WOSN4VX7L3NWXHHG7IO3XW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BCH2WOSN4VX7L3NWXHHG7IO3XW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BCH2WOSN4VX7L3NWXHHG7IO3XW/action/storage_attestation","attest_author":"https://pith.science/pith/BCH2WOSN4VX7L3NWXHHG7IO3XW/action/author_attestation","sign_citation":"https://pith.science/pith/BCH2WOSN4VX7L3NWXHHG7IO3XW/action/citation_signature","submit_replication":"https://pith.science/pith/BCH2WOSN4VX7L3NWXHHG7IO3XW/action/replication_record"}},"created_at":"2026-05-18T00:43:29.960817+00:00","updated_at":"2026-05-18T00:43:29.960817+00:00"}