{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LYTYZ75IHVUVYJCTX2OHCP4JSB","short_pith_number":"pith:LYTYZ75I","canonical_record":{"source":{"id":"2605.27024","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T13:43:50Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"e37fa9b06aeec3903b0b611d076e022d50d98b85d380d6bc47d6fb6c7c59df52","abstract_canon_sha256":"ebcbbf86cbe08e6257a8bc14757021e509754adcdf168d62a5b6d793140ffe8b"},"schema_version":"1.0"},"canonical_sha256":"5e278cffa83d695c2453be9c713f899063de332c3975411469d23433340f28d1","source":{"kind":"arxiv","id":"2605.27024","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27024","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27024v1","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27024","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"pith_short_12","alias_value":"LYTYZ75IHVUV","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"pith_short_16","alias_value":"LYTYZ75IHVUVYJCT","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"pith_short_8","alias_value":"LYTYZ75I","created_at":"2026-05-27T01:06:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LYTYZ75IHVUVYJCTX2OHCP4JSB","target":"record","payload":{"canonical_record":{"source":{"id":"2605.27024","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T13:43:50Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"e37fa9b06aeec3903b0b611d076e022d50d98b85d380d6bc47d6fb6c7c59df52","abstract_canon_sha256":"ebcbbf86cbe08e6257a8bc14757021e509754adcdf168d62a5b6d793140ffe8b"},"schema_version":"1.0"},"canonical_sha256":"5e278cffa83d695c2453be9c713f899063de332c3975411469d23433340f28d1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T01:06:24.700426Z","signature_b64":"mkEDQX7c3MdUwFZCXAynwkpivol6rMnoPH89fLd87AxjH5Y97JBSsNMpUeMbffwDpR6unWgpWozs17OnOW1PDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5e278cffa83d695c2453be9c713f899063de332c3975411469d23433340f28d1","last_reissued_at":"2026-05-27T01:06:24.699683Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T01:06:24.699683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.27024","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":"2026-05-27T01:06:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KgTA7kR68JxOAY4WcvIJobXetskVjWmjHkXFdifFkZD2+WOx9I9SfP5Er88l0DEqahwQhSp1FNvrdNhwSGmhAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:34:35.265170Z"},"content_sha256":"ca28602960aa65a179f3d890d91dc0720619468ce5b4a8c1315cb70741be3da8","schema_version":"1.0","event_id":"sha256:ca28602960aa65a179f3d890d91dc0720619468ce5b4a8c1315cb70741be3da8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LYTYZ75IHVUVYJCTX2OHCP4JSB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NeR-SC: Adapting Neural Video Representation to Screen Content","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.CV","authors_text":"Haogang Feng, Jiaoyan Zhao, Ruohan Shi","submitted_at":"2026-05-26T13:43:50Z","abstract_excerpt":"Implicit neural representations have emerged as a promising paradigm for video compression, with recent methods achieving competitive performance on natural video. However, screen content video -- common in remote desktop, online education, and cloud gaming -- exhibits distinct statistics: sharp edges, limited color palettes, and strong temporal redundancy. Existing neural representation methods, designed for natural scenes, lack mechanisms to exploit these properties, leaving substantial room for improvement. In this paper, we propose NeR-SC, a neural representation framework tailored for scr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27024","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/2605.27024/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":"2026-05-27T01:06:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3WwElFXA/LOdwOb1ndylY/QDx7s47JmtaTuHFm9w41Qv7lzutLOuOulUnJ9UKbUbu4UoEVhjpGP0gEclnLkEAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:34:35.266070Z"},"content_sha256":"23c8d300ab37d43ad4bc62a9c7e3b0ce373f2c5cb17998c3f8d2736424bab7e9","schema_version":"1.0","event_id":"sha256:23c8d300ab37d43ad4bc62a9c7e3b0ce373f2c5cb17998c3f8d2736424bab7e9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LYTYZ75IHVUVYJCTX2OHCP4JSB/bundle.json","state_url":"https://pith.science/pith/LYTYZ75IHVUVYJCTX2OHCP4JSB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LYTYZ75IHVUVYJCTX2OHCP4JSB/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":"2026-08-06T18:34:35Z","links":{"resolver":"https://pith.science/pith/LYTYZ75IHVUVYJCTX2OHCP4JSB","bundle":"https://pith.science/pith/LYTYZ75IHVUVYJCTX2OHCP4JSB/bundle.json","state":"https://pith.science/pith/LYTYZ75IHVUVYJCTX2OHCP4JSB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LYTYZ75IHVUVYJCTX2OHCP4JSB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LYTYZ75IHVUVYJCTX2OHCP4JSB","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":"ebcbbf86cbe08e6257a8bc14757021e509754adcdf168d62a5b6d793140ffe8b","cross_cats_sorted":["cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T13:43:50Z","title_canon_sha256":"e37fa9b06aeec3903b0b611d076e022d50d98b85d380d6bc47d6fb6c7c59df52"},"schema_version":"1.0","source":{"id":"2605.27024","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27024","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27024v1","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27024","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"pith_short_12","alias_value":"LYTYZ75IHVUV","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"pith_short_16","alias_value":"LYTYZ75IHVUVYJCT","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"pith_short_8","alias_value":"LYTYZ75I","created_at":"2026-05-27T01:06:24Z"}],"graph_snapshots":[{"event_id":"sha256:23c8d300ab37d43ad4bc62a9c7e3b0ce373f2c5cb17998c3f8d2736424bab7e9","target":"graph","created_at":"2026-05-27T01:06:24Z","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/2605.27024/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Implicit neural representations have emerged as a promising paradigm for video compression, with recent methods achieving competitive performance on natural video. However, screen content video -- common in remote desktop, online education, and cloud gaming -- exhibits distinct statistics: sharp edges, limited color palettes, and strong temporal redundancy. Existing neural representation methods, designed for natural scenes, lack mechanisms to exploit these properties, leaving substantial room for improvement. In this paper, we propose NeR-SC, a neural representation framework tailored for scr","authors_text":"Haogang Feng, Jiaoyan Zhao, Ruohan Shi","cross_cats":["cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T13:43:50Z","title":"NeR-SC: Adapting Neural Video Representation to Screen Content"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27024","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:ca28602960aa65a179f3d890d91dc0720619468ce5b4a8c1315cb70741be3da8","target":"record","created_at":"2026-05-27T01:06:24Z","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":"ebcbbf86cbe08e6257a8bc14757021e509754adcdf168d62a5b6d793140ffe8b","cross_cats_sorted":["cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T13:43:50Z","title_canon_sha256":"e37fa9b06aeec3903b0b611d076e022d50d98b85d380d6bc47d6fb6c7c59df52"},"schema_version":"1.0","source":{"id":"2605.27024","kind":"arxiv","version":1}},"canonical_sha256":"5e278cffa83d695c2453be9c713f899063de332c3975411469d23433340f28d1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5e278cffa83d695c2453be9c713f899063de332c3975411469d23433340f28d1","first_computed_at":"2026-05-27T01:06:24.699683Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:06:24.699683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mkEDQX7c3MdUwFZCXAynwkpivol6rMnoPH89fLd87AxjH5Y97JBSsNMpUeMbffwDpR6unWgpWozs17OnOW1PDg==","signature_status":"signed_v1","signed_at":"2026-05-27T01:06:24.700426Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.27024","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ca28602960aa65a179f3d890d91dc0720619468ce5b4a8c1315cb70741be3da8","sha256:23c8d300ab37d43ad4bc62a9c7e3b0ce373f2c5cb17998c3f8d2736424bab7e9"],"state_sha256":"fc23035e49913ae0f94d9541558cbfd59281e1cfbf9b0398bac154ac3d9859f0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RPyBmfWjfxYz34bWX4JaIMntmL+YPoYNQNJG74Q61RKNZBcsMd5xsu2SANvtVsa2cNvGsC7tbPCPfPgKEuwMAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T18:34:35.271469Z","bundle_sha256":"bf88d4b5c65e51e90c0f1a7f932b4dfe5a115d236b4353cc19a6c40958decb2a"}}