{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:O5EPBWSOIRCVOY4IMHG5FHJH6W","short_pith_number":"pith:O5EPBWSO","canonical_record":{"source":{"id":"2311.04251","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-07T11:37:08Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"e4379c671e72f8d9598896a77b91931dc7f9c69f6d5764802971645da6176c8c","abstract_canon_sha256":"673b94a512c34c1dcdeb120df3fd6761f47d7e7ec782f1ef2fc3a6ffab08eee6"},"schema_version":"1.0"},"canonical_sha256":"7748f0da4e444557638861cdd29d27f592ad8b48baf7fedb75b407fbd931d607","source":{"kind":"arxiv","id":"2311.04251","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.04251","created_at":"2026-07-05T07:10:31Z"},{"alias_kind":"arxiv_version","alias_value":"2311.04251v1","created_at":"2026-07-05T07:10:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.04251","created_at":"2026-07-05T07:10:31Z"},{"alias_kind":"pith_short_12","alias_value":"O5EPBWSOIRCV","created_at":"2026-07-05T07:10:31Z"},{"alias_kind":"pith_short_16","alias_value":"O5EPBWSOIRCVOY4I","created_at":"2026-07-05T07:10:31Z"},{"alias_kind":"pith_short_8","alias_value":"O5EPBWSO","created_at":"2026-07-05T07:10:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:O5EPBWSOIRCVOY4IMHG5FHJH6W","target":"record","payload":{"canonical_record":{"source":{"id":"2311.04251","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-07T11:37:08Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"e4379c671e72f8d9598896a77b91931dc7f9c69f6d5764802971645da6176c8c","abstract_canon_sha256":"673b94a512c34c1dcdeb120df3fd6761f47d7e7ec782f1ef2fc3a6ffab08eee6"},"schema_version":"1.0"},"canonical_sha256":"7748f0da4e444557638861cdd29d27f592ad8b48baf7fedb75b407fbd931d607","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:10:31.894670Z","signature_b64":"+WCbl7CwnG3GyAU0LxWTQ6EXNxXrmUtEo2FK1Vhso/VDaGqnFluM6k03fZBpOxHPjnMETh48YWHUPQGETSMwAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7748f0da4e444557638861cdd29d27f592ad8b48baf7fedb75b407fbd931d607","last_reissued_at":"2026-07-05T07:10:31.894230Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:10:31.894230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.04251","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":"2026-07-05T07:10:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n+ewQGfxp4QVclVl5phYnudo3NB4hVQPXOVGldMUCxN33TvDoZ/6se2PktC34t5rrAtYuooxLgFvoHvmQxLCBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:24:00.465744Z"},"content_sha256":"36b5e39c46c698229068dcdabbf04104053eb886069404cdd813a481b4103572","schema_version":"1.0","event_id":"sha256:36b5e39c46c698229068dcdabbf04104053eb886069404cdd813a481b4103572"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:O5EPBWSOIRCVOY4IMHG5FHJH6W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Bryan A. Plummer, Chau Pham, Piotr Teterwak, Soren Nelson","submitted_at":"2023-11-07T11:37:08Z","abstract_excerpt":"Most deep neural networks are trained under fixed network architectures and require retraining when the architecture changes. If expanding the network's size is needed, it is necessary to retrain from scratch, which is expensive. To avoid this, one can grow from a small network by adding random weights over time to gradually achieve the target network size. However, this naive approach falls short in practice as it brings too much noise to the growing process. Prior work tackled this issue by leveraging the already learned weights and training data for generating new weights through conducting"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.04251","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/2311.04251/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":"2026-07-05T07:10:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SoHPQAwij83cuR+HM1jiczIBHdd45xHVZrtlqcudKGvhG+bHc28Wc3Mirl8Qfda0MsyiCtDqZRISp252ILklDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:24:00.466112Z"},"content_sha256":"d9a5de6a5e60dec676182229a61a71f47936f4e5e857d8f14355f74e289196ba","schema_version":"1.0","event_id":"sha256:d9a5de6a5e60dec676182229a61a71f47936f4e5e857d8f14355f74e289196ba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O5EPBWSOIRCVOY4IMHG5FHJH6W/bundle.json","state_url":"https://pith.science/pith/O5EPBWSOIRCVOY4IMHG5FHJH6W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O5EPBWSOIRCVOY4IMHG5FHJH6W/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":"2026-07-06T23:24:00Z","links":{"resolver":"https://pith.science/pith/O5EPBWSOIRCVOY4IMHG5FHJH6W","bundle":"https://pith.science/pith/O5EPBWSOIRCVOY4IMHG5FHJH6W/bundle.json","state":"https://pith.science/pith/O5EPBWSOIRCVOY4IMHG5FHJH6W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O5EPBWSOIRCVOY4IMHG5FHJH6W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:O5EPBWSOIRCVOY4IMHG5FHJH6W","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":"673b94a512c34c1dcdeb120df3fd6761f47d7e7ec782f1ef2fc3a6ffab08eee6","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-07T11:37:08Z","title_canon_sha256":"e4379c671e72f8d9598896a77b91931dc7f9c69f6d5764802971645da6176c8c"},"schema_version":"1.0","source":{"id":"2311.04251","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.04251","created_at":"2026-07-05T07:10:31Z"},{"alias_kind":"arxiv_version","alias_value":"2311.04251v1","created_at":"2026-07-05T07:10:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.04251","created_at":"2026-07-05T07:10:31Z"},{"alias_kind":"pith_short_12","alias_value":"O5EPBWSOIRCV","created_at":"2026-07-05T07:10:31Z"},{"alias_kind":"pith_short_16","alias_value":"O5EPBWSOIRCVOY4I","created_at":"2026-07-05T07:10:31Z"},{"alias_kind":"pith_short_8","alias_value":"O5EPBWSO","created_at":"2026-07-05T07:10:31Z"}],"graph_snapshots":[{"event_id":"sha256:d9a5de6a5e60dec676182229a61a71f47936f4e5e857d8f14355f74e289196ba","target":"graph","created_at":"2026-07-05T07:10:31Z","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/2311.04251/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most deep neural networks are trained under fixed network architectures and require retraining when the architecture changes. If expanding the network's size is needed, it is necessary to retrain from scratch, which is expensive. To avoid this, one can grow from a small network by adding random weights over time to gradually achieve the target network size. However, this naive approach falls short in practice as it brings too much noise to the growing process. Prior work tackled this issue by leveraging the already learned weights and training data for generating new weights through conducting","authors_text":"Bryan A. Plummer, Chau Pham, Piotr Teterwak, Soren Nelson","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-07T11:37:08Z","title":"MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.04251","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":"sha256:36b5e39c46c698229068dcdabbf04104053eb886069404cdd813a481b4103572","target":"record","created_at":"2026-07-05T07:10:31Z","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":"673b94a512c34c1dcdeb120df3fd6761f47d7e7ec782f1ef2fc3a6ffab08eee6","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-07T11:37:08Z","title_canon_sha256":"e4379c671e72f8d9598896a77b91931dc7f9c69f6d5764802971645da6176c8c"},"schema_version":"1.0","source":{"id":"2311.04251","kind":"arxiv","version":1}},"canonical_sha256":"7748f0da4e444557638861cdd29d27f592ad8b48baf7fedb75b407fbd931d607","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7748f0da4e444557638861cdd29d27f592ad8b48baf7fedb75b407fbd931d607","first_computed_at":"2026-07-05T07:10:31.894230Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:10:31.894230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+WCbl7CwnG3GyAU0LxWTQ6EXNxXrmUtEo2FK1Vhso/VDaGqnFluM6k03fZBpOxHPjnMETh48YWHUPQGETSMwAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:10:31.894670Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.04251","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36b5e39c46c698229068dcdabbf04104053eb886069404cdd813a481b4103572","sha256:d9a5de6a5e60dec676182229a61a71f47936f4e5e857d8f14355f74e289196ba"],"state_sha256":"3c86127312f039c2e5828b0b4a1102165f5cf2b3f41bed70e50234c03a43eda1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8VNidg94pgB1cUxjwoQF7xI8yXyeGz06qP7OFh6kgHRAceKdg7Oq9DtgWGc0xxGs9O6tEKJcqYFmMfeeLLFhBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T23:24:00.468146Z","bundle_sha256":"d96d935acd67f63658f670ecdfb7f173ee34bba7f52a0447a9797a3169610a8f"}}