{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:W57PU5OMU2MJHLG5KH2WFZDMRC","short_pith_number":"pith:W57PU5OM","canonical_record":{"source":{"id":"2506.15276","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-18T08:57:12Z","cross_cats_sorted":["cs.MM","eess.IV"],"title_canon_sha256":"50d1f15a3f30d920ddbc4faea97a9df407b4e6969ca268350b03e742181abda5","abstract_canon_sha256":"4b8216924d8c5e82925dab7e1058f122bacf9c07b9a30eef9a03b17284bf9306"},"schema_version":"1.0"},"canonical_sha256":"b77efa75cca69893acdd51f562e46c88917b55804be34310a2ed494588b0de12","source":{"kind":"arxiv","id":"2506.15276","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15276","created_at":"2026-07-05T11:23:40Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15276v1","created_at":"2026-07-05T11:23:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15276","created_at":"2026-07-05T11:23:40Z"},{"alias_kind":"pith_short_12","alias_value":"W57PU5OMU2MJ","created_at":"2026-07-05T11:23:40Z"},{"alias_kind":"pith_short_16","alias_value":"W57PU5OMU2MJHLG5","created_at":"2026-07-05T11:23:40Z"},{"alias_kind":"pith_short_8","alias_value":"W57PU5OM","created_at":"2026-07-05T11:23:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:W57PU5OMU2MJHLG5KH2WFZDMRC","target":"record","payload":{"canonical_record":{"source":{"id":"2506.15276","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-18T08:57:12Z","cross_cats_sorted":["cs.MM","eess.IV"],"title_canon_sha256":"50d1f15a3f30d920ddbc4faea97a9df407b4e6969ca268350b03e742181abda5","abstract_canon_sha256":"4b8216924d8c5e82925dab7e1058f122bacf9c07b9a30eef9a03b17284bf9306"},"schema_version":"1.0"},"canonical_sha256":"b77efa75cca69893acdd51f562e46c88917b55804be34310a2ed494588b0de12","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:23:40.656548Z","signature_b64":"v4T1k0XaJHNazXoMnkiKDCEneJk8jUUOK5SKAPXy7mwG8hRO6L4WHJA/hbeik3KR0sqWh4i1v89D6ceXV4zSCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b77efa75cca69893acdd51f562e46c88917b55804be34310a2ed494588b0de12","last_reissued_at":"2026-07-05T11:23:40.655971Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:23:40.655971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.15276","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":"2026-07-05T11:23:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dVlu/p9h/UHk5VJ8I1rEKz8Zt0/1bbbeHVH3qFY9zqhgrr5q9Lw723eBSQxLYfbukW0l8cRRch0r6Y+MAMhaDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T18:46:03.976274Z"},"content_sha256":"4df7cd6ae840f83e480f66226eacfdf645e37768391ec31aa82a66273607d8e4","schema_version":"1.0","event_id":"sha256:4df7cd6ae840f83e480f66226eacfdf645e37768391ec31aa82a66273607d8e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:W57PU5OMU2MJHLG5KH2WFZDMRC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MSNeRV: Neural Video Representation with Multi-Scale Feature Fusion","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.MM","eess.IV"],"primary_cat":"cs.CV","authors_text":"Junhao Jiang, Jun Zhu, Lv Tang, Xinfeng Zhang","submitted_at":"2025-06-18T08:57:12Z","abstract_excerpt":"Implicit Neural representations (INRs) have emerged as a promising approach for video compression, and have achieved comparable performance to the state-of-the-art codecs such as H.266/VVC. However, existing INR-based methods struggle to effectively represent detail-intensive and fast-changing video content. This limitation mainly stems from the underutilization of internal network features and the absence of video-specific considerations in network design. To address these challenges, we propose a multi-scale feature fusion framework, MSNeRV, for neural video representation. In the encoding s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15276","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/2506.15276/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":"2026-07-05T11:23:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"35wU5Df30ccO+kMs62m5R6FXHBt0lt9/66OVblEiwA9C0nNhq3DsPDCNTSOkFTvt7RUumuyB50deo0tJv7HAAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T18:46:03.976796Z"},"content_sha256":"99e10b193d30840d4919946938fd520053b3066c737420bec5cc50703f2da4b7","schema_version":"1.0","event_id":"sha256:99e10b193d30840d4919946938fd520053b3066c737420bec5cc50703f2da4b7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W57PU5OMU2MJHLG5KH2WFZDMRC/bundle.json","state_url":"https://pith.science/pith/W57PU5OMU2MJHLG5KH2WFZDMRC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W57PU5OMU2MJHLG5KH2WFZDMRC/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":"2026-08-16T18:46:03Z","links":{"resolver":"https://pith.science/pith/W57PU5OMU2MJHLG5KH2WFZDMRC","bundle":"https://pith.science/pith/W57PU5OMU2MJHLG5KH2WFZDMRC/bundle.json","state":"https://pith.science/pith/W57PU5OMU2MJHLG5KH2WFZDMRC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W57PU5OMU2MJHLG5KH2WFZDMRC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:W57PU5OMU2MJHLG5KH2WFZDMRC","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":"4b8216924d8c5e82925dab7e1058f122bacf9c07b9a30eef9a03b17284bf9306","cross_cats_sorted":["cs.MM","eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-18T08:57:12Z","title_canon_sha256":"50d1f15a3f30d920ddbc4faea97a9df407b4e6969ca268350b03e742181abda5"},"schema_version":"1.0","source":{"id":"2506.15276","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15276","created_at":"2026-07-05T11:23:40Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15276v1","created_at":"2026-07-05T11:23:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15276","created_at":"2026-07-05T11:23:40Z"},{"alias_kind":"pith_short_12","alias_value":"W57PU5OMU2MJ","created_at":"2026-07-05T11:23:40Z"},{"alias_kind":"pith_short_16","alias_value":"W57PU5OMU2MJHLG5","created_at":"2026-07-05T11:23:40Z"},{"alias_kind":"pith_short_8","alias_value":"W57PU5OM","created_at":"2026-07-05T11:23:40Z"}],"graph_snapshots":[{"event_id":"sha256:99e10b193d30840d4919946938fd520053b3066c737420bec5cc50703f2da4b7","target":"graph","created_at":"2026-07-05T11:23:40Z","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/2506.15276/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Implicit Neural representations (INRs) have emerged as a promising approach for video compression, and have achieved comparable performance to the state-of-the-art codecs such as H.266/VVC. However, existing INR-based methods struggle to effectively represent detail-intensive and fast-changing video content. This limitation mainly stems from the underutilization of internal network features and the absence of video-specific considerations in network design. To address these challenges, we propose a multi-scale feature fusion framework, MSNeRV, for neural video representation. In the encoding s","authors_text":"Junhao Jiang, Jun Zhu, Lv Tang, Xinfeng Zhang","cross_cats":["cs.MM","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-18T08:57:12Z","title":"MSNeRV: Neural Video Representation with Multi-Scale Feature Fusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15276","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":"sha256:4df7cd6ae840f83e480f66226eacfdf645e37768391ec31aa82a66273607d8e4","target":"record","created_at":"2026-07-05T11:23:40Z","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":"4b8216924d8c5e82925dab7e1058f122bacf9c07b9a30eef9a03b17284bf9306","cross_cats_sorted":["cs.MM","eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-18T08:57:12Z","title_canon_sha256":"50d1f15a3f30d920ddbc4faea97a9df407b4e6969ca268350b03e742181abda5"},"schema_version":"1.0","source":{"id":"2506.15276","kind":"arxiv","version":1}},"canonical_sha256":"b77efa75cca69893acdd51f562e46c88917b55804be34310a2ed494588b0de12","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b77efa75cca69893acdd51f562e46c88917b55804be34310a2ed494588b0de12","first_computed_at":"2026-07-05T11:23:40.655971Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:23:40.655971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v4T1k0XaJHNazXoMnkiKDCEneJk8jUUOK5SKAPXy7mwG8hRO6L4WHJA/hbeik3KR0sqWh4i1v89D6ceXV4zSCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:23:40.656548Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.15276","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4df7cd6ae840f83e480f66226eacfdf645e37768391ec31aa82a66273607d8e4","sha256:99e10b193d30840d4919946938fd520053b3066c737420bec5cc50703f2da4b7"],"state_sha256":"566dd74632f6bd844ca172da018a95f3a7ca2b942b17573ed676408e9a0fa20e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2ugielCcHqlUzfMnJs6+cEUk5AyHo8GlZv+MFkMqWtz1NYjzE59tSliJ0HkjK7gn3nJTyhwAJ0NdMibWWMAmDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T18:46:03.981244Z","bundle_sha256":"646f7f7b730937f54bc62b9b0c188422ff8e29c284c9baab422828ee8f708198"}}