{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:G4OPAKJ4HNBHNJ3NFBKCV3QK3X","short_pith_number":"pith:G4OPAKJ4","canonical_record":{"source":{"id":"2506.23479","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-30T02:58:52Z","cross_cats_sorted":[],"title_canon_sha256":"c6a101d6b96b699edd9dcd9dd226488bc7a319623d10ed28fc1ea35b372ad2d5","abstract_canon_sha256":"bd276604bac6f4c748a99418f997657d4065144da31e4272f07fd247b98143f0"},"schema_version":"1.0"},"canonical_sha256":"371cf0293c3b4276a76d28542aee0addc41f9b77404025360f75230df99196b7","source":{"kind":"arxiv","id":"2506.23479","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23479","created_at":"2026-07-05T11:29:22Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23479v1","created_at":"2026-07-05T11:29:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23479","created_at":"2026-07-05T11:29:22Z"},{"alias_kind":"pith_short_12","alias_value":"G4OPAKJ4HNBH","created_at":"2026-07-05T11:29:22Z"},{"alias_kind":"pith_short_16","alias_value":"G4OPAKJ4HNBHNJ3N","created_at":"2026-07-05T11:29:22Z"},{"alias_kind":"pith_short_8","alias_value":"G4OPAKJ4","created_at":"2026-07-05T11:29:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:G4OPAKJ4HNBHNJ3NFBKCV3QK3X","target":"record","payload":{"canonical_record":{"source":{"id":"2506.23479","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-30T02:58:52Z","cross_cats_sorted":[],"title_canon_sha256":"c6a101d6b96b699edd9dcd9dd226488bc7a319623d10ed28fc1ea35b372ad2d5","abstract_canon_sha256":"bd276604bac6f4c748a99418f997657d4065144da31e4272f07fd247b98143f0"},"schema_version":"1.0"},"canonical_sha256":"371cf0293c3b4276a76d28542aee0addc41f9b77404025360f75230df99196b7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:29:22.311854Z","signature_b64":"JjPZ2lJEa4kuTkBfPCSc9hkjeTcpwgdiMdt6nKIC6V4TbcEU/3nSyM3UnpMCTOHEkS8oi4N9fDar8VkIC7l2Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"371cf0293c3b4276a76d28542aee0addc41f9b77404025360f75230df99196b7","last_reissued_at":"2026-07-05T11:29:22.311441Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:29:22.311441Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.23479","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":"2026-07-05T11:29:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yRNYc5azjuFm5xaTTvhIrHxKDJLoAE6NHzmkc1GKLa/JbnFnH5ntnVNMc5om/dlXiwvJSBsd1u+hT9am403lBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:23:11.824904Z"},"content_sha256":"ecff3d54c0c62ec4a9985cc9ffc901a031175392c79356103cd234def7a60df8","schema_version":"1.0","event_id":"sha256:ecff3d54c0c62ec4a9985cc9ffc901a031175392c79356103cd234def7a60df8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:G4OPAKJ4HNBHNJ3NFBKCV3QK3X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Instant GaussianImage: A Generalizable and Self-Adaptive Image Representation via 2D Gaussian Splatting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chao Yang, Lili Ju, Tao Guan, Yuesong Wang, Zhaojie Zeng","submitted_at":"2025-06-30T02:58:52Z","abstract_excerpt":"Implicit Neural Representation (INR) has demonstrated remarkable advances in the field of image representation but demands substantial GPU resources. GaussianImage recently pioneered the use of Gaussian Splatting to mitigate this cost, however, the slow training process limits its practicality, and the fixed number of Gaussians per image limits its adaptability to varying information entropy. To address these issues, we propose in this paper a generalizable and self-adaptive image representation framework based on 2D Gaussian Splatting. Our method employs a network to quickly generate a coarse"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23479","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/2506.23479/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":"2026-07-05T11:29:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XkbhOC6lTv9SB5ZGgu+maSsMwIEI8tvI1sXhYytWtCjtq+SPYed6o0N1qRg/PG3JqsZO+3PfHIYFZp/23pV0AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:23:11.825478Z"},"content_sha256":"143ad576142212548735d7e81f7692588da8f626f072de95aab94a404e2217a4","schema_version":"1.0","event_id":"sha256:143ad576142212548735d7e81f7692588da8f626f072de95aab94a404e2217a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G4OPAKJ4HNBHNJ3NFBKCV3QK3X/bundle.json","state_url":"https://pith.science/pith/G4OPAKJ4HNBHNJ3NFBKCV3QK3X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G4OPAKJ4HNBHNJ3NFBKCV3QK3X/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":"2026-08-09T01:23:11Z","links":{"resolver":"https://pith.science/pith/G4OPAKJ4HNBHNJ3NFBKCV3QK3X","bundle":"https://pith.science/pith/G4OPAKJ4HNBHNJ3NFBKCV3QK3X/bundle.json","state":"https://pith.science/pith/G4OPAKJ4HNBHNJ3NFBKCV3QK3X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G4OPAKJ4HNBHNJ3NFBKCV3QK3X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:G4OPAKJ4HNBHNJ3NFBKCV3QK3X","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":"bd276604bac6f4c748a99418f997657d4065144da31e4272f07fd247b98143f0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-30T02:58:52Z","title_canon_sha256":"c6a101d6b96b699edd9dcd9dd226488bc7a319623d10ed28fc1ea35b372ad2d5"},"schema_version":"1.0","source":{"id":"2506.23479","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23479","created_at":"2026-07-05T11:29:22Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23479v1","created_at":"2026-07-05T11:29:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23479","created_at":"2026-07-05T11:29:22Z"},{"alias_kind":"pith_short_12","alias_value":"G4OPAKJ4HNBH","created_at":"2026-07-05T11:29:22Z"},{"alias_kind":"pith_short_16","alias_value":"G4OPAKJ4HNBHNJ3N","created_at":"2026-07-05T11:29:22Z"},{"alias_kind":"pith_short_8","alias_value":"G4OPAKJ4","created_at":"2026-07-05T11:29:22Z"}],"graph_snapshots":[{"event_id":"sha256:143ad576142212548735d7e81f7692588da8f626f072de95aab94a404e2217a4","target":"graph","created_at":"2026-07-05T11:29:22Z","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/2506.23479/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Implicit Neural Representation (INR) has demonstrated remarkable advances in the field of image representation but demands substantial GPU resources. GaussianImage recently pioneered the use of Gaussian Splatting to mitigate this cost, however, the slow training process limits its practicality, and the fixed number of Gaussians per image limits its adaptability to varying information entropy. To address these issues, we propose in this paper a generalizable and self-adaptive image representation framework based on 2D Gaussian Splatting. Our method employs a network to quickly generate a coarse","authors_text":"Chao Yang, Lili Ju, Tao Guan, Yuesong Wang, Zhaojie Zeng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-30T02:58:52Z","title":"Instant GaussianImage: A Generalizable and Self-Adaptive Image Representation via 2D Gaussian Splatting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23479","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:ecff3d54c0c62ec4a9985cc9ffc901a031175392c79356103cd234def7a60df8","target":"record","created_at":"2026-07-05T11:29:22Z","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":"bd276604bac6f4c748a99418f997657d4065144da31e4272f07fd247b98143f0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-30T02:58:52Z","title_canon_sha256":"c6a101d6b96b699edd9dcd9dd226488bc7a319623d10ed28fc1ea35b372ad2d5"},"schema_version":"1.0","source":{"id":"2506.23479","kind":"arxiv","version":1}},"canonical_sha256":"371cf0293c3b4276a76d28542aee0addc41f9b77404025360f75230df99196b7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"371cf0293c3b4276a76d28542aee0addc41f9b77404025360f75230df99196b7","first_computed_at":"2026-07-05T11:29:22.311441Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:22.311441Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JjPZ2lJEa4kuTkBfPCSc9hkjeTcpwgdiMdt6nKIC6V4TbcEU/3nSyM3UnpMCTOHEkS8oi4N9fDar8VkIC7l2Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:22.311854Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.23479","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ecff3d54c0c62ec4a9985cc9ffc901a031175392c79356103cd234def7a60df8","sha256:143ad576142212548735d7e81f7692588da8f626f072de95aab94a404e2217a4"],"state_sha256":"3af2ae33ace3e33457d0ba388d8452398ed8ba9ff1a911b1b1f6f7f6bbd86ad8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oAFv0VEAgYEF+7oRXzY/Pnro5xwkaO/d8y1zlMI4bXY6d4kaM5NvQaaNDPbpAkytGZQoLBOsUnXFkU7+S9V7Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T01:23:11.829757Z","bundle_sha256":"af900efd9d5f218ecf8177eea521447aac069293f02dccced369a3b6d0128746"}}