{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:O7RJTKNLN6OMCUX3RKSL422FNY","short_pith_number":"pith:O7RJTKNL","canonical_record":{"source":{"id":"2607.25971","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-07-28T16:52:45Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"0f182cf6b10dee4b31c079c64240c9d205489d6996a37397194127a905210453","abstract_canon_sha256":"f136af7333f00254aa8cd99f55a90166af172c9bd26069972847d208bce5afca"},"schema_version":"1.0"},"canonical_sha256":"77e299a9ab6f9cc152fb8aa4be6b456e300595cb76faf0424547171401d68e0a","source":{"kind":"arxiv","id":"2607.25971","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25971","created_at":"2026-07-29T01:26:17Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25971v1","created_at":"2026-07-29T01:26:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25971","created_at":"2026-07-29T01:26:17Z"},{"alias_kind":"pith_short_12","alias_value":"O7RJTKNLN6OM","created_at":"2026-07-29T01:26:17Z"},{"alias_kind":"pith_short_16","alias_value":"O7RJTKNLN6OMCUX3","created_at":"2026-07-29T01:26:17Z"},{"alias_kind":"pith_short_8","alias_value":"O7RJTKNL","created_at":"2026-07-29T01:26:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:O7RJTKNLN6OMCUX3RKSL422FNY","target":"record","payload":{"canonical_record":{"source":{"id":"2607.25971","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-07-28T16:52:45Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"0f182cf6b10dee4b31c079c64240c9d205489d6996a37397194127a905210453","abstract_canon_sha256":"f136af7333f00254aa8cd99f55a90166af172c9bd26069972847d208bce5afca"},"schema_version":"1.0"},"canonical_sha256":"77e299a9ab6f9cc152fb8aa4be6b456e300595cb76faf0424547171401d68e0a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T01:26:17.169265Z","signature_b64":"C6i+8UPTiQ2Ejbeu2/LIMT9eegGUhguoqqKv5avn32CGrG6wU/TkBCy/sIKcbHeeHWFOzfsD7IJ5GZ6FPOlwAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"77e299a9ab6f9cc152fb8aa4be6b456e300595cb76faf0424547171401d68e0a","last_reissued_at":"2026-07-29T01:26:17.168308Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T01:26:17.168308Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.25971","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":"2026-07-29T01:26:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EfnxFhiadA79/y4Kz9hk7dVM6pIVZpmRRGkrhupGr5W2zYrfGsXh1of9Vc6eM1guxhPw3vLFeHi4fz9CLDN8Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:25:18.061750Z"},"content_sha256":"4081b2fee9126418790b72176819cf59c5e03c7d16936c42854d5b36beaaa452","schema_version":"1.0","event_id":"sha256:4081b2fee9126418790b72176819cf59c5e03c7d16936c42854d5b36beaaa452"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:O7RJTKNLN6OMCUX3RKSL422FNY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SplatStream: Fine Granular Scalable Gaussian Splatting for Adaptive 3D Scene Streaming","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"eess.IV","authors_text":"Anique Akhtar, Joel Jung, Muhammad Talha, Sajid Umair, William Gordon","submitted_at":"2026-07-28T16:52:45Z","abstract_excerpt":"Dynamic 3D Gaussian Splatting (GS) enables high quality real-time rendering for immersive media, but its large representation size and frame-wise redundancy create significant challenges for adaptive streaming. This paper presents SplatStream, a fine granular scalable Gaussian splatting framework for dynamic 3D scene delivery. The proposed method decompose the GS scenes into quality and resolution layers, and introduces inter-layer predictive coding to achieve scalability. For temporal direction, B-frames are introduced to have temporal quality scalability. A lightweight cross-layer transforme"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25971","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/2607.25971/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":"2026-07-29T01:26:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OC2O8oRPMQWXukd+QRBhbvEge6DAnxeqwfxWytm2XRACrtc9F01Binfr7GiwOELWldjj7eNCJiKz0EgnF1xBDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:25:18.062685Z"},"content_sha256":"0a9af107ebf51388ac30fd96e52c36cae93e33c1d8674052235ffbffd9ffbea0","schema_version":"1.0","event_id":"sha256:0a9af107ebf51388ac30fd96e52c36cae93e33c1d8674052235ffbffd9ffbea0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O7RJTKNLN6OMCUX3RKSL422FNY/bundle.json","state_url":"https://pith.science/pith/O7RJTKNLN6OMCUX3RKSL422FNY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O7RJTKNLN6OMCUX3RKSL422FNY/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":"2026-08-06T01:25:18Z","links":{"resolver":"https://pith.science/pith/O7RJTKNLN6OMCUX3RKSL422FNY","bundle":"https://pith.science/pith/O7RJTKNLN6OMCUX3RKSL422FNY/bundle.json","state":"https://pith.science/pith/O7RJTKNLN6OMCUX3RKSL422FNY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O7RJTKNLN6OMCUX3RKSL422FNY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:O7RJTKNLN6OMCUX3RKSL422FNY","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":"f136af7333f00254aa8cd99f55a90166af172c9bd26069972847d208bce5afca","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-07-28T16:52:45Z","title_canon_sha256":"0f182cf6b10dee4b31c079c64240c9d205489d6996a37397194127a905210453"},"schema_version":"1.0","source":{"id":"2607.25971","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25971","created_at":"2026-07-29T01:26:17Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25971v1","created_at":"2026-07-29T01:26:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25971","created_at":"2026-07-29T01:26:17Z"},{"alias_kind":"pith_short_12","alias_value":"O7RJTKNLN6OM","created_at":"2026-07-29T01:26:17Z"},{"alias_kind":"pith_short_16","alias_value":"O7RJTKNLN6OMCUX3","created_at":"2026-07-29T01:26:17Z"},{"alias_kind":"pith_short_8","alias_value":"O7RJTKNL","created_at":"2026-07-29T01:26:17Z"}],"graph_snapshots":[{"event_id":"sha256:0a9af107ebf51388ac30fd96e52c36cae93e33c1d8674052235ffbffd9ffbea0","target":"graph","created_at":"2026-07-29T01:26:17Z","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/2607.25971/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dynamic 3D Gaussian Splatting (GS) enables high quality real-time rendering for immersive media, but its large representation size and frame-wise redundancy create significant challenges for adaptive streaming. This paper presents SplatStream, a fine granular scalable Gaussian splatting framework for dynamic 3D scene delivery. The proposed method decompose the GS scenes into quality and resolution layers, and introduces inter-layer predictive coding to achieve scalability. For temporal direction, B-frames are introduced to have temporal quality scalability. A lightweight cross-layer transforme","authors_text":"Anique Akhtar, Joel Jung, Muhammad Talha, Sajid Umair, William Gordon","cross_cats":["eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-07-28T16:52:45Z","title":"SplatStream: Fine Granular Scalable Gaussian Splatting for Adaptive 3D Scene Streaming"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25971","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":"sha256:4081b2fee9126418790b72176819cf59c5e03c7d16936c42854d5b36beaaa452","target":"record","created_at":"2026-07-29T01:26:17Z","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":"f136af7333f00254aa8cd99f55a90166af172c9bd26069972847d208bce5afca","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-07-28T16:52:45Z","title_canon_sha256":"0f182cf6b10dee4b31c079c64240c9d205489d6996a37397194127a905210453"},"schema_version":"1.0","source":{"id":"2607.25971","kind":"arxiv","version":1}},"canonical_sha256":"77e299a9ab6f9cc152fb8aa4be6b456e300595cb76faf0424547171401d68e0a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"77e299a9ab6f9cc152fb8aa4be6b456e300595cb76faf0424547171401d68e0a","first_computed_at":"2026-07-29T01:26:17.168308Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-29T01:26:17.168308Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C6i+8UPTiQ2Ejbeu2/LIMT9eegGUhguoqqKv5avn32CGrG6wU/TkBCy/sIKcbHeeHWFOzfsD7IJ5GZ6FPOlwAw==","signature_status":"signed_v1","signed_at":"2026-07-29T01:26:17.169265Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.25971","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4081b2fee9126418790b72176819cf59c5e03c7d16936c42854d5b36beaaa452","sha256:0a9af107ebf51388ac30fd96e52c36cae93e33c1d8674052235ffbffd9ffbea0"],"state_sha256":"ef44e10a1a211ff4d42a316bb88a4bb0dd1a3adc00d55e354c9e42e8dc89b415"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fEnKCSuQK0VrYvjCTi1TivZsAWbd+cSwmHK2tDCNNfavk03u1e+4n+vmRG1gJSmtLa0X+cK6jfe1AmEKCvPmAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T01:25:18.067861Z","bundle_sha256":"7d5a2a8bff195da95ed74e87e45d4a0c28d7f0eb20dc42b846e84adb3824d306"}}