{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:KVQOLYCYFCSM5I7SEUX3OEOKS6","short_pith_number":"pith:KVQOLYCY","canonical_record":{"source":{"id":"2211.13223","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-23T18:58:59Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c7d087a92d52bdb8d9ff681d8a4726c123104103e91b27f0ae2f3cbf43e27bb6","abstract_canon_sha256":"8cddd2030e248325a5aec8ad37e4950f343d15a9c73ff5564f160218121f5d38"},"schema_version":"1.0"},"canonical_sha256":"5560e5e05828a4cea3f2252fb711ca9796caf3a450cb7e7187ce7b9f458eb82e","source":{"kind":"arxiv","id":"2211.13223","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.13223","created_at":"2026-07-05T06:01:36Z"},{"alias_kind":"arxiv_version","alias_value":"2211.13223v2","created_at":"2026-07-05T06:01:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.13223","created_at":"2026-07-05T06:01:36Z"},{"alias_kind":"pith_short_12","alias_value":"KVQOLYCYFCSM","created_at":"2026-07-05T06:01:36Z"},{"alias_kind":"pith_short_16","alias_value":"KVQOLYCYFCSM5I7S","created_at":"2026-07-05T06:01:36Z"},{"alias_kind":"pith_short_8","alias_value":"KVQOLYCY","created_at":"2026-07-05T06:01:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:KVQOLYCYFCSM5I7SEUX3OEOKS6","target":"record","payload":{"canonical_record":{"source":{"id":"2211.13223","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-23T18:58:59Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c7d087a92d52bdb8d9ff681d8a4726c123104103e91b27f0ae2f3cbf43e27bb6","abstract_canon_sha256":"8cddd2030e248325a5aec8ad37e4950f343d15a9c73ff5564f160218121f5d38"},"schema_version":"1.0"},"canonical_sha256":"5560e5e05828a4cea3f2252fb711ca9796caf3a450cb7e7187ce7b9f458eb82e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:01:36.038753Z","signature_b64":"EZ8cgamfoxCzVLeOG0xWpouA4vDeNdfSctAcqPoJs8Gbdbw9s3AhotE7ZkAoWzK1qPgMowMvLouZfAMX15XECg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5560e5e05828a4cea3f2252fb711ca9796caf3a450cb7e7187ce7b9f458eb82e","last_reissued_at":"2026-07-05T06:01:36.038336Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:01:36.038336Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.13223","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:01:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yn9NZE94K93p6lO5OSRHlY9Yu4AP3BTS7EVJqMBqgKvUu0woV+GBUQhyr5hre660ZZ+uWb+nZEVRpNB7ETG0Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:16:50.288824Z"},"content_sha256":"cbb9ec6f74479fd787b494f3bf89648c19e9582d4c4eb3f04b4ca7caf569d080","schema_version":"1.0","event_id":"sha256:cbb9ec6f74479fd787b494f3bf89648c19e9582d4c4eb3f04b4ca7caf569d080"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:KVQOLYCYFCSM5I7SEUX3OEOKS6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generalizable Implicit Neural Representations via Instance Pattern Composers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Chiheon Kim, Doyup Lee, Minsu Cho, Saehoon Kim, Wook-Shin Han","submitted_at":"2022-11-23T18:58:59Z","abstract_excerpt":"Despite recent advances in implicit neural representations (INRs), it remains challenging for a coordinate-based multi-layer perceptron (MLP) of INRs to learn a common representation across data instances and generalize it for unseen instances. In this work, we introduce a simple yet effective framework for generalizable INRs that enables a coordinate-based MLP to represent complex data instances by modulating only a small set of weights in an early MLP layer as an instance pattern composer; the remaining MLP weights learn pattern composition rules for common representations across instances. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.13223","kind":"arxiv","version":2},"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/2211.13223/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":"2026-07-05T06:01:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nSvXIEJ/jLZqUY664hTHf0L2E6zfCh/7z3GbVfkyROHDm+j5Xb+hh0jTVuzaVy+Ky68I7WDzwNHYIwdVWQ7bDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:16:50.289797Z"},"content_sha256":"e6b95db0013c53e2f26346e45bee3bc0b08b7d56af3d9080adf15df3e689b9fe","schema_version":"1.0","event_id":"sha256:e6b95db0013c53e2f26346e45bee3bc0b08b7d56af3d9080adf15df3e689b9fe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KVQOLYCYFCSM5I7SEUX3OEOKS6/bundle.json","state_url":"https://pith.science/pith/KVQOLYCYFCSM5I7SEUX3OEOKS6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KVQOLYCYFCSM5I7SEUX3OEOKS6/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":"2026-08-08T14:16:50Z","links":{"resolver":"https://pith.science/pith/KVQOLYCYFCSM5I7SEUX3OEOKS6","bundle":"https://pith.science/pith/KVQOLYCYFCSM5I7SEUX3OEOKS6/bundle.json","state":"https://pith.science/pith/KVQOLYCYFCSM5I7SEUX3OEOKS6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KVQOLYCYFCSM5I7SEUX3OEOKS6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:KVQOLYCYFCSM5I7SEUX3OEOKS6","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":"8cddd2030e248325a5aec8ad37e4950f343d15a9c73ff5564f160218121f5d38","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-23T18:58:59Z","title_canon_sha256":"c7d087a92d52bdb8d9ff681d8a4726c123104103e91b27f0ae2f3cbf43e27bb6"},"schema_version":"1.0","source":{"id":"2211.13223","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.13223","created_at":"2026-07-05T06:01:36Z"},{"alias_kind":"arxiv_version","alias_value":"2211.13223v2","created_at":"2026-07-05T06:01:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.13223","created_at":"2026-07-05T06:01:36Z"},{"alias_kind":"pith_short_12","alias_value":"KVQOLYCYFCSM","created_at":"2026-07-05T06:01:36Z"},{"alias_kind":"pith_short_16","alias_value":"KVQOLYCYFCSM5I7S","created_at":"2026-07-05T06:01:36Z"},{"alias_kind":"pith_short_8","alias_value":"KVQOLYCY","created_at":"2026-07-05T06:01:36Z"}],"graph_snapshots":[{"event_id":"sha256:e6b95db0013c53e2f26346e45bee3bc0b08b7d56af3d9080adf15df3e689b9fe","target":"graph","created_at":"2026-07-05T06:01:36Z","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/2211.13223/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite recent advances in implicit neural representations (INRs), it remains challenging for a coordinate-based multi-layer perceptron (MLP) of INRs to learn a common representation across data instances and generalize it for unseen instances. In this work, we introduce a simple yet effective framework for generalizable INRs that enables a coordinate-based MLP to represent complex data instances by modulating only a small set of weights in an early MLP layer as an instance pattern composer; the remaining MLP weights learn pattern composition rules for common representations across instances. ","authors_text":"Chiheon Kim, Doyup Lee, Minsu Cho, Saehoon Kim, Wook-Shin Han","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-23T18:58:59Z","title":"Generalizable Implicit Neural Representations via Instance Pattern Composers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.13223","kind":"arxiv","version":2},"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:cbb9ec6f74479fd787b494f3bf89648c19e9582d4c4eb3f04b4ca7caf569d080","target":"record","created_at":"2026-07-05T06:01:36Z","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":"8cddd2030e248325a5aec8ad37e4950f343d15a9c73ff5564f160218121f5d38","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-23T18:58:59Z","title_canon_sha256":"c7d087a92d52bdb8d9ff681d8a4726c123104103e91b27f0ae2f3cbf43e27bb6"},"schema_version":"1.0","source":{"id":"2211.13223","kind":"arxiv","version":2}},"canonical_sha256":"5560e5e05828a4cea3f2252fb711ca9796caf3a450cb7e7187ce7b9f458eb82e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5560e5e05828a4cea3f2252fb711ca9796caf3a450cb7e7187ce7b9f458eb82e","first_computed_at":"2026-07-05T06:01:36.038336Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:01:36.038336Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EZ8cgamfoxCzVLeOG0xWpouA4vDeNdfSctAcqPoJs8Gbdbw9s3AhotE7ZkAoWzK1qPgMowMvLouZfAMX15XECg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:01:36.038753Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.13223","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cbb9ec6f74479fd787b494f3bf89648c19e9582d4c4eb3f04b4ca7caf569d080","sha256:e6b95db0013c53e2f26346e45bee3bc0b08b7d56af3d9080adf15df3e689b9fe"],"state_sha256":"0dd640a5915f905726bd169e732f5d2ffc4a68881e2f6972c2709b9042ff8c4d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nlULilf++YQvftEDoM452SkHYRgMPNqT2Ws8IP+JaiCCLpv14QP+ixQaMlA+97ZJCk5EnNWG3f5l5xIS1+54CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T14:16:50.314418Z","bundle_sha256":"63e3d4e1ce544b6a97c0d22ddb0128da92c9c8e98e04a84be2fbbccb216ff5a1"}}