{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:ZUXVWBU2MYVUSU2BMIYB5ANA7V","short_pith_number":"pith:ZUXVWBU2","canonical_record":{"source":{"id":"2004.02633","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-03T14:36:07Z","cross_cats_sorted":[],"title_canon_sha256":"dec1a06529f0d35f63362d08c99d2b438d6384013b8185b6eea9db5e5d50370e","abstract_canon_sha256":"af7fe372cd14cab0ef0cbe025d813129b99955e3f94b8351f947ac8cf1df1bf9"},"schema_version":"1.0"},"canonical_sha256":"cd2f5b069a662b49534162301e81a0fd6de15b39b415907176da7b2a4bb0b168","source":{"kind":"arxiv","id":"2004.02633","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.02633","created_at":"2026-07-05T00:53:01Z"},{"alias_kind":"arxiv_version","alias_value":"2004.02633v1","created_at":"2026-07-05T00:53:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.02633","created_at":"2026-07-05T00:53:01Z"},{"alias_kind":"pith_short_12","alias_value":"ZUXVWBU2MYVU","created_at":"2026-07-05T00:53:01Z"},{"alias_kind":"pith_short_16","alias_value":"ZUXVWBU2MYVUSU2B","created_at":"2026-07-05T00:53:01Z"},{"alias_kind":"pith_short_8","alias_value":"ZUXVWBU2","created_at":"2026-07-05T00:53:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:ZUXVWBU2MYVUSU2BMIYB5ANA7V","target":"record","payload":{"canonical_record":{"source":{"id":"2004.02633","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-03T14:36:07Z","cross_cats_sorted":[],"title_canon_sha256":"dec1a06529f0d35f63362d08c99d2b438d6384013b8185b6eea9db5e5d50370e","abstract_canon_sha256":"af7fe372cd14cab0ef0cbe025d813129b99955e3f94b8351f947ac8cf1df1bf9"},"schema_version":"1.0"},"canonical_sha256":"cd2f5b069a662b49534162301e81a0fd6de15b39b415907176da7b2a4bb0b168","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:53:01.188233Z","signature_b64":"LAEiMN+aoW9jIXx+5l8M+DEpsYfFQ/yHwk1PAETkS6pvFR3OyJdTh1mC6Y/3WJgZv9XRXm+tsRtzk8f7mkvABw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd2f5b069a662b49534162301e81a0fd6de15b39b415907176da7b2a4bb0b168","last_reissued_at":"2026-07-05T00:53:01.187829Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:53:01.187829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2004.02633","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:53:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OIO7lpfgvL756aFkkgTIyLAtE6QXEF2hq0/bBaVJ/5bBAIwiAl2FVfb3pW8yLtylc9tvjIe/61HSkbMZjTAYCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T08:30:37.452488Z"},"content_sha256":"842325f0d4120a5b98d82b95579fea0d54384294e402b3b71089902ee0f0dff8","schema_version":"1.0","event_id":"sha256:842325f0d4120a5b98d82b95579fea0d54384294e402b3b71089902ee0f0dff8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:ZUXVWBU2MYVUSU2BMIYB5ANA7V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Snapshot Interferometric 3D Imaging by Compressive Sensing and Deep Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Jiawei Ma, Mu Qiao, Xin Yuan, Xuan Liu, Yangyang Sun, Ziyi Meng","submitted_at":"2020-04-03T14:36:07Z","abstract_excerpt":"We demonstrate single-shot compressive three-dimensional (3D) $(x, y, z)$ imaging based on interference coding. The depth dimension of the object is encoded into the interferometric spectra of the light field, resulting a $(x, y, \\lambda)$ datacube which is subsequently measured by a single-shot spectrometer. By implementing a compression ratio up to $400$, we are able to reconstruct $1G$ voxels from a 2D measurement. Both an optimization based compressive sensing algorithm and a deep learning network are developed for 3D reconstruction from a single 2D coded measurement. Due to the fast acqui"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.02633","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2004.02633/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":"2026-07-05T00:53:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V4xWE57oZSEsWgQlLUdlkgjFBwDPBYuDsO1ty7bzJLJFBmJyDs2YAlyJ4Gx0Gyl0ENCqcogK7CWjWNf9254hDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T08:30:37.453057Z"},"content_sha256":"3e7704a85c7b6239e7e6383a3e255ffbc7486e597a88b6342f8819e9771de9e1","schema_version":"1.0","event_id":"sha256:3e7704a85c7b6239e7e6383a3e255ffbc7486e597a88b6342f8819e9771de9e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZUXVWBU2MYVUSU2BMIYB5ANA7V/bundle.json","state_url":"https://pith.science/pith/ZUXVWBU2MYVUSU2BMIYB5ANA7V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZUXVWBU2MYVUSU2BMIYB5ANA7V/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":"2026-08-20T08:30:37Z","links":{"resolver":"https://pith.science/pith/ZUXVWBU2MYVUSU2BMIYB5ANA7V","bundle":"https://pith.science/pith/ZUXVWBU2MYVUSU2BMIYB5ANA7V/bundle.json","state":"https://pith.science/pith/ZUXVWBU2MYVUSU2BMIYB5ANA7V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZUXVWBU2MYVUSU2BMIYB5ANA7V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ZUXVWBU2MYVUSU2BMIYB5ANA7V","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":"af7fe372cd14cab0ef0cbe025d813129b99955e3f94b8351f947ac8cf1df1bf9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-03T14:36:07Z","title_canon_sha256":"dec1a06529f0d35f63362d08c99d2b438d6384013b8185b6eea9db5e5d50370e"},"schema_version":"1.0","source":{"id":"2004.02633","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.02633","created_at":"2026-07-05T00:53:01Z"},{"alias_kind":"arxiv_version","alias_value":"2004.02633v1","created_at":"2026-07-05T00:53:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.02633","created_at":"2026-07-05T00:53:01Z"},{"alias_kind":"pith_short_12","alias_value":"ZUXVWBU2MYVU","created_at":"2026-07-05T00:53:01Z"},{"alias_kind":"pith_short_16","alias_value":"ZUXVWBU2MYVUSU2B","created_at":"2026-07-05T00:53:01Z"},{"alias_kind":"pith_short_8","alias_value":"ZUXVWBU2","created_at":"2026-07-05T00:53:01Z"}],"graph_snapshots":[{"event_id":"sha256:3e7704a85c7b6239e7e6383a3e255ffbc7486e597a88b6342f8819e9771de9e1","target":"graph","created_at":"2026-07-05T00:53:01Z","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/2004.02633/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We demonstrate single-shot compressive three-dimensional (3D) $(x, y, z)$ imaging based on interference coding. The depth dimension of the object is encoded into the interferometric spectra of the light field, resulting a $(x, y, \\lambda)$ datacube which is subsequently measured by a single-shot spectrometer. By implementing a compression ratio up to $400$, we are able to reconstruct $1G$ voxels from a 2D measurement. Both an optimization based compressive sensing algorithm and a deep learning network are developed for 3D reconstruction from a single 2D coded measurement. Due to the fast acqui","authors_text":"Jiawei Ma, Mu Qiao, Xin Yuan, Xuan Liu, Yangyang Sun, Ziyi Meng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-03T14:36:07Z","title":"Snapshot Interferometric 3D Imaging by Compressive Sensing and Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.02633","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":"sha256:842325f0d4120a5b98d82b95579fea0d54384294e402b3b71089902ee0f0dff8","target":"record","created_at":"2026-07-05T00:53:01Z","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":"af7fe372cd14cab0ef0cbe025d813129b99955e3f94b8351f947ac8cf1df1bf9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-03T14:36:07Z","title_canon_sha256":"dec1a06529f0d35f63362d08c99d2b438d6384013b8185b6eea9db5e5d50370e"},"schema_version":"1.0","source":{"id":"2004.02633","kind":"arxiv","version":1}},"canonical_sha256":"cd2f5b069a662b49534162301e81a0fd6de15b39b415907176da7b2a4bb0b168","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cd2f5b069a662b49534162301e81a0fd6de15b39b415907176da7b2a4bb0b168","first_computed_at":"2026-07-05T00:53:01.187829Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:53:01.187829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LAEiMN+aoW9jIXx+5l8M+DEpsYfFQ/yHwk1PAETkS6pvFR3OyJdTh1mC6Y/3WJgZv9XRXm+tsRtzk8f7mkvABw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:53:01.188233Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.02633","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:842325f0d4120a5b98d82b95579fea0d54384294e402b3b71089902ee0f0dff8","sha256:3e7704a85c7b6239e7e6383a3e255ffbc7486e597a88b6342f8819e9771de9e1"],"state_sha256":"d81d3c34d2e15d6f0386b9ef1f7939c081837216366eb811f5e873d1b1cf7827"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yIF9sk0xjKXTJTt8mIlvmGmkoGYGefJZCmK/0+63roQrOXARqz44yzNT4A186eJmwXcQebAl2E1acp7CVBmVAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T08:30:37.456618Z","bundle_sha256":"c5537c196538191ea10f1dfcbc475493f410f38044d508aa990e2282a7a6b4b2"}}