{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:37JRGQHCEMRDV435HSD42K5KIS","merge_version":"pith-open-graph-merge-v1","event_count":7,"valid_event_count":7,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7fb5b74e64e71bcba0d1d3d58888adf5fa0d8ef59b1a6435ab67106d12a6869f","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-20T16:50:15Z","title_canon_sha256":"589021d15a69ff60766ff3ecaf3837c6b004ccd0c3e595c00daa6671a7d36df7"},"schema_version":"1.0","source":{"id":"2607.18150","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.18150","created_at":"2026-07-21T02:22:19Z"},{"alias_kind":"arxiv_version","alias_value":"2607.18150v1","created_at":"2026-07-21T02:22:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.18150","created_at":"2026-07-21T02:22:19Z"},{"alias_kind":"pith_short_12","alias_value":"37JRGQHCEMRD","created_at":"2026-07-21T02:22:19Z"},{"alias_kind":"pith_short_16","alias_value":"37JRGQHCEMRDV435","created_at":"2026-07-21T02:22:19Z"},{"alias_kind":"pith_short_8","alias_value":"37JRGQHC","created_at":"2026-07-21T02:22:19Z"}],"graph_snapshots":[{"event_id":"sha256:b133df6f4c935dc3cf45cd10c3cd49c1cff8d1230a64d3f503f5f21276acd50f","target":"graph","created_at":"2026-07-21T02:22:19Z","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/2607.18150/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Implicit neural representation (INR) methods provide continuous coordinate-to-value mappings and integrate naturally with direct volume rendering, making them attractive for representing volumetric data. However, existing INR-based approaches for volumetric data are inherently lossy, and even small reconstruction errors can propagate through rendering and downstream analysis. In this work, we explore Lossless-INR, a lossless INR framework for 3D scientific volumetric data based on bit-plane decomposition. By decomposing each voxel value into binary bit-planes, we reformulate reconstruction as ","authors_text":"Chaoli Wang, Daniel Burke, Kaiyuan Tang","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.18150","kind":"arxiv","version":1},"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":"sha256:3397e2adb63846d2b38d08b3cbb4541f4dd5f83182f8b8be593542dc4a2fbaa2","target":"record","created_at":"2026-07-21T02:22:19Z","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":"7fb5b74e64e71bcba0d1d3d58888adf5fa0d8ef59b1a6435ab67106d12a6869f","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-20T16:50:15Z","title_canon_sha256":"589021d15a69ff60766ff3ecaf3837c6b004ccd0c3e595c00daa6671a7d36df7"},"schema_version":"1.0","source":{"id":"2607.18150","kind":"arxiv","version":1}},"canonical_sha256":"dfd31340e223223af37d3c87cd2baa449d2550a93b9ed63e19887a6726e7695d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dfd31340e223223af37d3c87cd2baa449d2550a93b9ed63e19887a6726e7695d","first_computed_at":"2026-07-21T02:22:19.252484Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-21T02:22:19.252484Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dKodcmJ7JHHmhQcKog/HczEeyWv43qaVQRMlastG0/I6Pc9oIeoTsnaeguW0aPVVOPCugGaW6JW0fDRm+sQ8DA==","signature_status":"signed_v1","signed_at":"2026-07-21T02:22:19.253296Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.18150","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:00403526e357ac7ec8166667249fc4c1f9e07544288148fb15df59a51285fb20","sha256:170e3fbb29fce37f793f896ed8bec4cd1abcef4b2079bb6f040f86e93ba57a9f","sha256:61a2ef2e15737aff4d55267e04f51179e67535ebeab85e9798a59946a4e7753d","sha256:86388881ad1d7e2b768077cebce70ad1c7e965267b2d78c9ad8e43dc585eedff","sha256:e6ba8de482b529230d27e8c7bb776d834be2902f9ecdd7d4a36b72229bae993a"]}],"invalid_events":[],"applied_event_ids":["sha256:3397e2adb63846d2b38d08b3cbb4541f4dd5f83182f8b8be593542dc4a2fbaa2","sha256:b133df6f4c935dc3cf45cd10c3cd49c1cff8d1230a64d3f503f5f21276acd50f"],"state_sha256":"b5b7f17d079b479df7259ccd289e83190ab23dbd85373596053f7a66fcc3f634"}