{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LBULU3Q2IAGNEBPOR5R5LVVBWG","short_pith_number":"pith:LBULU3Q2","canonical_record":{"source":{"id":"2608.10712","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-11T09:32:08Z","cross_cats_sorted":[],"title_canon_sha256":"7071cbebe1153c47bbfbc1f2af5a4c41aa5c59f34eafe2fab09b6a51800f9deb","abstract_canon_sha256":"b73577080f8db837a485c672f0bb05f6c992c5a5fc6fb2ace196bc7a9985ee17"},"schema_version":"1.0"},"canonical_sha256":"5868ba6e1a400cd205ee8f63d5d6a1b193b631e0e1646953a3f6bbe3dc1ab73e","source":{"kind":"arxiv","id":"2608.10712","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.10712","created_at":"2026-08-12T01:23:06Z"},{"alias_kind":"arxiv_version","alias_value":"2608.10712v1","created_at":"2026-08-12T01:23:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.10712","created_at":"2026-08-12T01:23:06Z"},{"alias_kind":"pith_short_12","alias_value":"LBULU3Q2IAGN","created_at":"2026-08-12T01:23:06Z"},{"alias_kind":"pith_short_16","alias_value":"LBULU3Q2IAGNEBPO","created_at":"2026-08-12T01:23:06Z"},{"alias_kind":"pith_short_8","alias_value":"LBULU3Q2","created_at":"2026-08-12T01:23:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LBULU3Q2IAGNEBPOR5R5LVVBWG","target":"record","payload":{"canonical_record":{"source":{"id":"2608.10712","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-11T09:32:08Z","cross_cats_sorted":[],"title_canon_sha256":"7071cbebe1153c47bbfbc1f2af5a4c41aa5c59f34eafe2fab09b6a51800f9deb","abstract_canon_sha256":"b73577080f8db837a485c672f0bb05f6c992c5a5fc6fb2ace196bc7a9985ee17"},"schema_version":"1.0"},"canonical_sha256":"5868ba6e1a400cd205ee8f63d5d6a1b193b631e0e1646953a3f6bbe3dc1ab73e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-12T01:23:06.622579Z","signature_b64":"hgUv92l5sHDlcYHal3kcT8W7Rm3IBJ1oxZ7r1NSfxVbWPJybEGMFiQMa0BH87xb0CahmfJ5zTRnthGseZsqkDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5868ba6e1a400cd205ee8f63d5d6a1b193b631e0e1646953a3f6bbe3dc1ab73e","last_reissued_at":"2026-08-12T01:23:06.620975Z","signature_status":"signed_v1","first_computed_at":"2026-08-12T01:23:06.620975Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.10712","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":"2026-08-12T01:23:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7WtCkJI1G51H/yeAuShYfSMRNReCEvByZC8XMi8RQSygSbkjP/Ixq1gGgxK5jzFE/UUaDOtDeGBf4WDczetrDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T19:27:36.003239Z"},"content_sha256":"87e1ffbb7de5fe74e56e0342c3c81ecae912cfc23299f95a572ef7d6a2e35ed0","schema_version":"1.0","event_id":"sha256:87e1ffbb7de5fe74e56e0342c3c81ecae912cfc23299f95a572ef7d6a2e35ed0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LBULU3Q2IAGNEBPOR5R5LVVBWG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Compact Feed-Forward 3D Gaussians via Saliency-Guided Primitive Merging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cyrill Stachniss, Jochen Kall, Tim-Felix Fassch","submitted_at":"2026-08-11T09:32:08Z","abstract_excerpt":"3D scene reconstruction, modeling, and rendering are highly relevant for numerous tasks, and 3D Gaussian splatting has become a standard choice in this context. Its feed-forward variants provide fast reconstruction from sparse input views but often produce per-pixel primitives, leading to highly redundant and thus inefficient representations. We present a structure-aware merging pipeline that takes per-pixel primitives from any feed-forward method and consolidates them into a compact, content-adaptive Gaussian set while largely retaining visual quality at just $\\frac{1}{20}^\\text{th}$ of the G"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.10712","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/2608.10712/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":"2026-08-12T01:23:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3xvBJ1yz90Y5zWuGmDn91aXRGjPpBGQO1QOxuopDGoQb8hgB/MqdbMPBVdtIuYObm+iTgyGuB+DnzDoyRq4QDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T19:27:36.003912Z"},"content_sha256":"c6f239d74ff58ec71e6a29cb2ce8dd6fde72a3dcfbb4ac2cd989c26d81f0a131","schema_version":"1.0","event_id":"sha256:c6f239d74ff58ec71e6a29cb2ce8dd6fde72a3dcfbb4ac2cd989c26d81f0a131"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LBULU3Q2IAGNEBPOR5R5LVVBWG/bundle.json","state_url":"https://pith.science/pith/LBULU3Q2IAGNEBPOR5R5LVVBWG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LBULU3Q2IAGNEBPOR5R5LVVBWG/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":"2026-08-15T19:27:36Z","links":{"resolver":"https://pith.science/pith/LBULU3Q2IAGNEBPOR5R5LVVBWG","bundle":"https://pith.science/pith/LBULU3Q2IAGNEBPOR5R5LVVBWG/bundle.json","state":"https://pith.science/pith/LBULU3Q2IAGNEBPOR5R5LVVBWG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LBULU3Q2IAGNEBPOR5R5LVVBWG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LBULU3Q2IAGNEBPOR5R5LVVBWG","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":"b73577080f8db837a485c672f0bb05f6c992c5a5fc6fb2ace196bc7a9985ee17","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-11T09:32:08Z","title_canon_sha256":"7071cbebe1153c47bbfbc1f2af5a4c41aa5c59f34eafe2fab09b6a51800f9deb"},"schema_version":"1.0","source":{"id":"2608.10712","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.10712","created_at":"2026-08-12T01:23:06Z"},{"alias_kind":"arxiv_version","alias_value":"2608.10712v1","created_at":"2026-08-12T01:23:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.10712","created_at":"2026-08-12T01:23:06Z"},{"alias_kind":"pith_short_12","alias_value":"LBULU3Q2IAGN","created_at":"2026-08-12T01:23:06Z"},{"alias_kind":"pith_short_16","alias_value":"LBULU3Q2IAGNEBPO","created_at":"2026-08-12T01:23:06Z"},{"alias_kind":"pith_short_8","alias_value":"LBULU3Q2","created_at":"2026-08-12T01:23:06Z"}],"graph_snapshots":[{"event_id":"sha256:c6f239d74ff58ec71e6a29cb2ce8dd6fde72a3dcfbb4ac2cd989c26d81f0a131","target":"graph","created_at":"2026-08-12T01:23:06Z","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/2608.10712/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D scene reconstruction, modeling, and rendering are highly relevant for numerous tasks, and 3D Gaussian splatting has become a standard choice in this context. Its feed-forward variants provide fast reconstruction from sparse input views but often produce per-pixel primitives, leading to highly redundant and thus inefficient representations. We present a structure-aware merging pipeline that takes per-pixel primitives from any feed-forward method and consolidates them into a compact, content-adaptive Gaussian set while largely retaining visual quality at just $\\frac{1}{20}^\\text{th}$ of the G","authors_text":"Cyrill Stachniss, Jochen Kall, Tim-Felix Fassch","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-11T09:32:08Z","title":"Compact Feed-Forward 3D Gaussians via Saliency-Guided Primitive Merging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.10712","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":"sha256:87e1ffbb7de5fe74e56e0342c3c81ecae912cfc23299f95a572ef7d6a2e35ed0","target":"record","created_at":"2026-08-12T01:23:06Z","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":"b73577080f8db837a485c672f0bb05f6c992c5a5fc6fb2ace196bc7a9985ee17","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-11T09:32:08Z","title_canon_sha256":"7071cbebe1153c47bbfbc1f2af5a4c41aa5c59f34eafe2fab09b6a51800f9deb"},"schema_version":"1.0","source":{"id":"2608.10712","kind":"arxiv","version":1}},"canonical_sha256":"5868ba6e1a400cd205ee8f63d5d6a1b193b631e0e1646953a3f6bbe3dc1ab73e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5868ba6e1a400cd205ee8f63d5d6a1b193b631e0e1646953a3f6bbe3dc1ab73e","first_computed_at":"2026-08-12T01:23:06.620975Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-12T01:23:06.620975Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hgUv92l5sHDlcYHal3kcT8W7Rm3IBJ1oxZ7r1NSfxVbWPJybEGMFiQMa0BH87xb0CahmfJ5zTRnthGseZsqkDA==","signature_status":"signed_v1","signed_at":"2026-08-12T01:23:06.622579Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.10712","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:87e1ffbb7de5fe74e56e0342c3c81ecae912cfc23299f95a572ef7d6a2e35ed0","sha256:c6f239d74ff58ec71e6a29cb2ce8dd6fde72a3dcfbb4ac2cd989c26d81f0a131"],"state_sha256":"5a4990723ed7e5d55e6b58ce6b33e5940b9eca997495d9cc3d1c28725859bcda"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Ou/k1XMf0Hcmnqa5Hi1OWR4kD+2N6AcmXCBv9jzV4lUXjMiuc89EylPsEb5aRgCYXTc1E7uoc+ZBs+zrCUBBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T19:27:36.011128Z","bundle_sha256":"8c840c5126288ad3bdf70c2f3eb2a17f7a5fc5c3472c2783925f21dc26f293d6"}}