{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:IQCRUTOCXUFQ3F6BCWFR5436MJ","short_pith_number":"pith:IQCRUTOC","canonical_record":{"source":{"id":"2301.01901","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2023-01-05T04:11:10Z","cross_cats_sorted":[],"title_canon_sha256":"35dee93020346c04298d5f1e1b7cac9b109a589c4f2c9758e710302ed2583891","abstract_canon_sha256":"00a4a62e391202fc6a89a9a815ae1fb7db5b06630465b646b170aa1ee0eb2f13"},"schema_version":"1.0"},"canonical_sha256":"44051a4dc2bd0b0d97c1158b1ef37e624d9402ab10b7f678856f4d06a8d49535","source":{"kind":"arxiv","id":"2301.01901","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.01901","created_at":"2026-07-05T07:20:49Z"},{"alias_kind":"arxiv_version","alias_value":"2301.01901v3","created_at":"2026-07-05T07:20:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.01901","created_at":"2026-07-05T07:20:49Z"},{"alias_kind":"pith_short_12","alias_value":"IQCRUTOCXUFQ","created_at":"2026-07-05T07:20:49Z"},{"alias_kind":"pith_short_16","alias_value":"IQCRUTOCXUFQ3F6B","created_at":"2026-07-05T07:20:49Z"},{"alias_kind":"pith_short_8","alias_value":"IQCRUTOC","created_at":"2026-07-05T07:20:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:IQCRUTOCXUFQ3F6BCWFR5436MJ","target":"record","payload":{"canonical_record":{"source":{"id":"2301.01901","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2023-01-05T04:11:10Z","cross_cats_sorted":[],"title_canon_sha256":"35dee93020346c04298d5f1e1b7cac9b109a589c4f2c9758e710302ed2583891","abstract_canon_sha256":"00a4a62e391202fc6a89a9a815ae1fb7db5b06630465b646b170aa1ee0eb2f13"},"schema_version":"1.0"},"canonical_sha256":"44051a4dc2bd0b0d97c1158b1ef37e624d9402ab10b7f678856f4d06a8d49535","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:20:49.165788Z","signature_b64":"Dph9znHJMzVgYjUNeC7jPHAEbOALxU2CshcgAPhsiX6sGREy6LYoZzc6crLtHe+xxc3BRZjoFr/pqVj16anMDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44051a4dc2bd0b0d97c1158b1ef37e624d9402ab10b7f678856f4d06a8d49535","last_reissued_at":"2026-07-05T07:20:49.165358Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:20:49.165358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.01901","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:20:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5U+hFzj9Aq7b8Zxav7YPI0AfHEFvOcCTIxUhWq5TN9xGw3GD4SSnLWdWBH5BvOxg3qhRdtpBm5eQ63qTvdJ3Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T00:08:20.239365Z"},"content_sha256":"80f624827ae447f6533fdc7fd7fe596eef0fde57a882155af07ac5a24b9ceef8","schema_version":"1.0","event_id":"sha256:80f624827ae447f6533fdc7fd7fe596eef0fde57a882155af07ac5a24b9ceef8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:IQCRUTOCXUFQ3F6BCWFR5436MJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Daoce Wang, Dingwen Tao, James Ahrens, Jesus Pulido, Jiannan Tian, Kai Zhao, Pascal Grosset, Sian Jin","submitted_at":"2023-01-05T04:11:10Z","abstract_excerpt":"Today's scientific simulations require significant data volume reduction because of the enormous amounts of data produced and the limited I/O bandwidth and storage space. Error-bounded lossy compression has been considered one of the most effective solutions to the above problem. However, little work has been done to improve error-bounded lossy compression for Adaptive Mesh Refinement (AMR) simulation data. Unlike the previous work that only leverages 1D compression, in this work, we propose an approach (TAC) to leverage high-dimensional SZ compression for each refinement level of AMR data. To"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.01901","kind":"arxiv","version":3},"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/2301.01901/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":"2026-07-05T07:20:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5iwRlOLURY/uGrQqj98i0bhUUXNvzb/genOpOwIgom9ODpZVLRlseyC3Mn6uZT1vKp46wgRt8G86rm2QJvrrCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T00:08:20.239865Z"},"content_sha256":"62102c0f89434bdea638f331c19365a096212ab87d31f4bfb2804e6b2db953c2","schema_version":"1.0","event_id":"sha256:62102c0f89434bdea638f331c19365a096212ab87d31f4bfb2804e6b2db953c2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IQCRUTOCXUFQ3F6BCWFR5436MJ/bundle.json","state_url":"https://pith.science/pith/IQCRUTOCXUFQ3F6BCWFR5436MJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IQCRUTOCXUFQ3F6BCWFR5436MJ/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":"2026-08-21T00:08:20Z","links":{"resolver":"https://pith.science/pith/IQCRUTOCXUFQ3F6BCWFR5436MJ","bundle":"https://pith.science/pith/IQCRUTOCXUFQ3F6BCWFR5436MJ/bundle.json","state":"https://pith.science/pith/IQCRUTOCXUFQ3F6BCWFR5436MJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IQCRUTOCXUFQ3F6BCWFR5436MJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IQCRUTOCXUFQ3F6BCWFR5436MJ","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":"00a4a62e391202fc6a89a9a815ae1fb7db5b06630465b646b170aa1ee0eb2f13","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2023-01-05T04:11:10Z","title_canon_sha256":"35dee93020346c04298d5f1e1b7cac9b109a589c4f2c9758e710302ed2583891"},"schema_version":"1.0","source":{"id":"2301.01901","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.01901","created_at":"2026-07-05T07:20:49Z"},{"alias_kind":"arxiv_version","alias_value":"2301.01901v3","created_at":"2026-07-05T07:20:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.01901","created_at":"2026-07-05T07:20:49Z"},{"alias_kind":"pith_short_12","alias_value":"IQCRUTOCXUFQ","created_at":"2026-07-05T07:20:49Z"},{"alias_kind":"pith_short_16","alias_value":"IQCRUTOCXUFQ3F6B","created_at":"2026-07-05T07:20:49Z"},{"alias_kind":"pith_short_8","alias_value":"IQCRUTOC","created_at":"2026-07-05T07:20:49Z"}],"graph_snapshots":[{"event_id":"sha256:62102c0f89434bdea638f331c19365a096212ab87d31f4bfb2804e6b2db953c2","target":"graph","created_at":"2026-07-05T07:20:49Z","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/2301.01901/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Today's scientific simulations require significant data volume reduction because of the enormous amounts of data produced and the limited I/O bandwidth and storage space. Error-bounded lossy compression has been considered one of the most effective solutions to the above problem. However, little work has been done to improve error-bounded lossy compression for Adaptive Mesh Refinement (AMR) simulation data. Unlike the previous work that only leverages 1D compression, in this work, we propose an approach (TAC) to leverage high-dimensional SZ compression for each refinement level of AMR data. To","authors_text":"Daoce Wang, Dingwen Tao, James Ahrens, Jesus Pulido, Jiannan Tian, Kai Zhao, Pascal Grosset, Sian Jin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2023-01-05T04:11:10Z","title":"TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.01901","kind":"arxiv","version":3},"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":"sha256:80f624827ae447f6533fdc7fd7fe596eef0fde57a882155af07ac5a24b9ceef8","target":"record","created_at":"2026-07-05T07:20:49Z","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":"00a4a62e391202fc6a89a9a815ae1fb7db5b06630465b646b170aa1ee0eb2f13","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2023-01-05T04:11:10Z","title_canon_sha256":"35dee93020346c04298d5f1e1b7cac9b109a589c4f2c9758e710302ed2583891"},"schema_version":"1.0","source":{"id":"2301.01901","kind":"arxiv","version":3}},"canonical_sha256":"44051a4dc2bd0b0d97c1158b1ef37e624d9402ab10b7f678856f4d06a8d49535","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"44051a4dc2bd0b0d97c1158b1ef37e624d9402ab10b7f678856f4d06a8d49535","first_computed_at":"2026-07-05T07:20:49.165358Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:20:49.165358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Dph9znHJMzVgYjUNeC7jPHAEbOALxU2CshcgAPhsiX6sGREy6LYoZzc6crLtHe+xxc3BRZjoFr/pqVj16anMDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:20:49.165788Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.01901","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:80f624827ae447f6533fdc7fd7fe596eef0fde57a882155af07ac5a24b9ceef8","sha256:62102c0f89434bdea638f331c19365a096212ab87d31f4bfb2804e6b2db953c2"],"state_sha256":"8f3c7a6c70f65c9b2293280fcb409c4ac24483ec0268b7988628ac738aae88a2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jNoRgzST/zV12eNljzBYW5R1NJBmbi03Bknb4yLmJChyw0EmxdCxCQofXxwrEVDxsMg96gEZGfK4vHIegoeqDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T00:08:20.244530Z","bundle_sha256":"fd6c849411283bc37a44a62f2886db3ed26c93332dac5ab3b7b111bc56bbfc9c"}}