{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:ASEFYTB5TCXNNGS2YFJPZRL7D3","short_pith_number":"pith:ASEFYTB5","canonical_record":{"source":{"id":"2112.13003","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-24T09:08:23Z","cross_cats_sorted":[],"title_canon_sha256":"370dab06b8318fcf1e46e9b7e1bc6fb4d8cec30ebf555be38c8ce102dddfc1a0","abstract_canon_sha256":"0bfa260d87f44212114983171a67b8becd2844cade3d8cd0b5e98ab8c8f2a5a9"},"schema_version":"1.0"},"canonical_sha256":"04885c4c3d98aed69a5ac152fcc57f1ee5bc41a5eceb4d54ed8e3ef656558b3d","source":{"kind":"arxiv","id":"2112.13003","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.13003","created_at":"2026-07-05T04:53:26Z"},{"alias_kind":"arxiv_version","alias_value":"2112.13003v2","created_at":"2026-07-05T04:53:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.13003","created_at":"2026-07-05T04:53:26Z"},{"alias_kind":"pith_short_12","alias_value":"ASEFYTB5TCXN","created_at":"2026-07-05T04:53:26Z"},{"alias_kind":"pith_short_16","alias_value":"ASEFYTB5TCXNNGS2","created_at":"2026-07-05T04:53:26Z"},{"alias_kind":"pith_short_8","alias_value":"ASEFYTB5","created_at":"2026-07-05T04:53:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:ASEFYTB5TCXNNGS2YFJPZRL7D3","target":"record","payload":{"canonical_record":{"source":{"id":"2112.13003","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-24T09:08:23Z","cross_cats_sorted":[],"title_canon_sha256":"370dab06b8318fcf1e46e9b7e1bc6fb4d8cec30ebf555be38c8ce102dddfc1a0","abstract_canon_sha256":"0bfa260d87f44212114983171a67b8becd2844cade3d8cd0b5e98ab8c8f2a5a9"},"schema_version":"1.0"},"canonical_sha256":"04885c4c3d98aed69a5ac152fcc57f1ee5bc41a5eceb4d54ed8e3ef656558b3d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:53:26.014379Z","signature_b64":"bX9QfmeEnIle/Xr98Gu9Riqj2R07NtkhgOFxJS6DWP3pSwn/X1Wwa9D6vMsxIQv6nFDF+02xD6IUBnsRtkSxDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"04885c4c3d98aed69a5ac152fcc57f1ee5bc41a5eceb4d54ed8e3ef656558b3d","last_reissued_at":"2026-07-05T04:53:26.013876Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:53:26.013876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.13003","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:53:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ayIb8KiKYY4r12IKXcf3wzm2p2VYw7wU1c3oPhfO9Yt1js/0ZwzZEIznirqOECDDVN2YxmnRckt9XB9uXMiaCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:19:10.627470Z"},"content_sha256":"e33f8ac128eac38396bbd2b761d3797c9b1401b9d56040fd486aea8bab752822","schema_version":"1.0","event_id":"sha256:e33f8ac128eac38396bbd2b761d3797c9b1401b9d56040fd486aea8bab752822"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:ASEFYTB5TCXNNGS2YFJPZRL7D3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chang Chen, Lizhi Wang, Mingde Yao, Ruikang Xu, Zhiwei Xiong","submitted_at":"2021-12-24T09:08:23Z","abstract_excerpt":"Existing methods for spectral reconstruction usually learn a discrete mapping from RGB images to a number of spectral bands. However, this modeling strategy ignores the continuous nature of spectral signature. In this paper, we propose Neural Spectral Reconstruction (NeSR) to lift this limitation, by introducing a novel continuous spectral representation. To this end, we embrace the concept of implicit function and implement a parameterized embodiment with a neural network. Specifically, we first adopt a backbone network to extract spatial features of RGB inputs. Based on it, we devise Spectra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.13003","kind":"arxiv","version":2},"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/2112.13003/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":"2026-07-05T04:53:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MJdFaXwtuMoy9E39047gVSRFOoFBAD7JW0TUAOn8eoxba0RihYVWQ91fpeFfKAygoosh7SnwcfukP79zei4XAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:19:10.627853Z"},"content_sha256":"e24a46e4155012a0b171fb704fb82acd4b3dd5711be65f0151ce740d107c9027","schema_version":"1.0","event_id":"sha256:e24a46e4155012a0b171fb704fb82acd4b3dd5711be65f0151ce740d107c9027"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ASEFYTB5TCXNNGS2YFJPZRL7D3/bundle.json","state_url":"https://pith.science/pith/ASEFYTB5TCXNNGS2YFJPZRL7D3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ASEFYTB5TCXNNGS2YFJPZRL7D3/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":"2026-07-07T08:19:10Z","links":{"resolver":"https://pith.science/pith/ASEFYTB5TCXNNGS2YFJPZRL7D3","bundle":"https://pith.science/pith/ASEFYTB5TCXNNGS2YFJPZRL7D3/bundle.json","state":"https://pith.science/pith/ASEFYTB5TCXNNGS2YFJPZRL7D3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ASEFYTB5TCXNNGS2YFJPZRL7D3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ASEFYTB5TCXNNGS2YFJPZRL7D3","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":"0bfa260d87f44212114983171a67b8becd2844cade3d8cd0b5e98ab8c8f2a5a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-24T09:08:23Z","title_canon_sha256":"370dab06b8318fcf1e46e9b7e1bc6fb4d8cec30ebf555be38c8ce102dddfc1a0"},"schema_version":"1.0","source":{"id":"2112.13003","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.13003","created_at":"2026-07-05T04:53:26Z"},{"alias_kind":"arxiv_version","alias_value":"2112.13003v2","created_at":"2026-07-05T04:53:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.13003","created_at":"2026-07-05T04:53:26Z"},{"alias_kind":"pith_short_12","alias_value":"ASEFYTB5TCXN","created_at":"2026-07-05T04:53:26Z"},{"alias_kind":"pith_short_16","alias_value":"ASEFYTB5TCXNNGS2","created_at":"2026-07-05T04:53:26Z"},{"alias_kind":"pith_short_8","alias_value":"ASEFYTB5","created_at":"2026-07-05T04:53:26Z"}],"graph_snapshots":[{"event_id":"sha256:e24a46e4155012a0b171fb704fb82acd4b3dd5711be65f0151ce740d107c9027","target":"graph","created_at":"2026-07-05T04:53:26Z","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/2112.13003/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing methods for spectral reconstruction usually learn a discrete mapping from RGB images to a number of spectral bands. However, this modeling strategy ignores the continuous nature of spectral signature. In this paper, we propose Neural Spectral Reconstruction (NeSR) to lift this limitation, by introducing a novel continuous spectral representation. To this end, we embrace the concept of implicit function and implement a parameterized embodiment with a neural network. Specifically, we first adopt a backbone network to extract spatial features of RGB inputs. Based on it, we devise Spectra","authors_text":"Chang Chen, Lizhi Wang, Mingde Yao, Ruikang Xu, Zhiwei Xiong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-24T09:08:23Z","title":"Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.13003","kind":"arxiv","version":2},"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:e33f8ac128eac38396bbd2b761d3797c9b1401b9d56040fd486aea8bab752822","target":"record","created_at":"2026-07-05T04:53:26Z","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":"0bfa260d87f44212114983171a67b8becd2844cade3d8cd0b5e98ab8c8f2a5a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-24T09:08:23Z","title_canon_sha256":"370dab06b8318fcf1e46e9b7e1bc6fb4d8cec30ebf555be38c8ce102dddfc1a0"},"schema_version":"1.0","source":{"id":"2112.13003","kind":"arxiv","version":2}},"canonical_sha256":"04885c4c3d98aed69a5ac152fcc57f1ee5bc41a5eceb4d54ed8e3ef656558b3d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"04885c4c3d98aed69a5ac152fcc57f1ee5bc41a5eceb4d54ed8e3ef656558b3d","first_computed_at":"2026-07-05T04:53:26.013876Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:53:26.013876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bX9QfmeEnIle/Xr98Gu9Riqj2R07NtkhgOFxJS6DWP3pSwn/X1Wwa9D6vMsxIQv6nFDF+02xD6IUBnsRtkSxDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:53:26.014379Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.13003","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e33f8ac128eac38396bbd2b761d3797c9b1401b9d56040fd486aea8bab752822","sha256:e24a46e4155012a0b171fb704fb82acd4b3dd5711be65f0151ce740d107c9027"],"state_sha256":"f532c0718cc9a7e6f473c73d22fa969859f0a0551ac5e416a50200d5bac64ca2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LuAYhZvJKj6qcVBdhe5pfwzhmwW10GQMEuVswc24h/zB5b1qSBxZvEJwLZbBzrXZhzcPRKaUkRiCbiKdDvc2Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:19:10.629827Z","bundle_sha256":"cbe5ec16e5c457dfcb1435d565dd2a3c18a7b18fdaa2d56704eac4aa6b2154d7"}}