{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6ZGA4KVISCUAGZ6EW7TPIU2CWK","short_pith_number":"pith:6ZGA4KVI","canonical_record":{"source":{"id":"2405.16836","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-27T05:06:24Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f0c1b0f13778a14370c41b6e7c997f243ddde5531970a1512901bfb948b032ba","abstract_canon_sha256":"e41fc6caf197e8bccb2bdb4cf311c242bc7438454317c432c34c068cd0327607"},"schema_version":"1.0"},"canonical_sha256":"f64c0e2aa890a80367c4b7e6f45342b28684fc6d32be8eea0f3e9717f200abd2","source":{"kind":"arxiv","id":"2405.16836","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16836","created_at":"2026-07-05T08:23:36Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16836v1","created_at":"2026-07-05T08:23:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16836","created_at":"2026-07-05T08:23:36Z"},{"alias_kind":"pith_short_12","alias_value":"6ZGA4KVISCUA","created_at":"2026-07-05T08:23:36Z"},{"alias_kind":"pith_short_16","alias_value":"6ZGA4KVISCUAGZ6E","created_at":"2026-07-05T08:23:36Z"},{"alias_kind":"pith_short_8","alias_value":"6ZGA4KVI","created_at":"2026-07-05T08:23:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6ZGA4KVISCUAGZ6EW7TPIU2CWK","target":"record","payload":{"canonical_record":{"source":{"id":"2405.16836","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-27T05:06:24Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f0c1b0f13778a14370c41b6e7c997f243ddde5531970a1512901bfb948b032ba","abstract_canon_sha256":"e41fc6caf197e8bccb2bdb4cf311c242bc7438454317c432c34c068cd0327607"},"schema_version":"1.0"},"canonical_sha256":"f64c0e2aa890a80367c4b7e6f45342b28684fc6d32be8eea0f3e9717f200abd2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:23:36.265401Z","signature_b64":"jf/r9hNFQ2lW6iMvg/sNJ5uqVovBPherWOiZS01MK7lvXhyjuWe3+8kBzEAwEOxJl8kOOo0xmcThTPokxZ3hBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f64c0e2aa890a80367c4b7e6f45342b28684fc6d32be8eea0f3e9717f200abd2","last_reissued_at":"2026-07-05T08:23:36.264830Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:23:36.264830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.16836","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":"2026-07-05T08:23:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yATv2Yg645qaRbs3/JtWv+lvGzHhk89IcvaKQkwYk8CWRMDheMfa+xvCBBOZEQq6HG0pFuwpQshrb/d1s+CPDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T01:39:45.362921Z"},"content_sha256":"0e950f7404c212e7f6ace88ffe589cb83011428f4de39a097d4fca2b99ba6293","schema_version":"1.0","event_id":"sha256:0e950f7404c212e7f6ace88ffe589cb83011428f4de39a097d4fca2b99ba6293"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6ZGA4KVISCUAGZ6EW7TPIU2CWK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf Node","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Alexandros Potamianos, Andreas Charalampopoulos, Charilaos Papaioannou, Foivos Ntoulas-Panagiotopoulos, Nikolas Chatzis","submitted_at":"2024-05-27T05:06:24Z","abstract_excerpt":"Fast feedforward networks (FFFs) are a class of neural networks that exploit the observation that different regions of the input space activate distinct subsets of neurons in wide networks. FFFs partition the input space into separate sections using a differentiable binary tree of neurons and during inference descend the binary tree in order to improve computational efficiency. Inspired by Mixture of Experts (MoE) research, we propose the incorporation of load balancing and Master Leaf techniques into the FFF architecture to improve performance and simplify the training process. We reproduce e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16836","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/2405.16836/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":"2026-07-05T08:23:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W2QE5t7GMtab3q5NfGI2uX2T6e9segCYK4q5FJSnmLJ6SBt6q/fgESgaLX0pFO9fLfGiBwiMHarMvWSDg05jBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T01:39:45.363300Z"},"content_sha256":"2e1bad98004f79cfd2b6d25e071340ab028bd0a2afe1bde91106d26248f24c04","schema_version":"1.0","event_id":"sha256:2e1bad98004f79cfd2b6d25e071340ab028bd0a2afe1bde91106d26248f24c04"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6ZGA4KVISCUAGZ6EW7TPIU2CWK/bundle.json","state_url":"https://pith.science/pith/6ZGA4KVISCUAGZ6EW7TPIU2CWK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6ZGA4KVISCUAGZ6EW7TPIU2CWK/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":"2026-08-03T01:39:45Z","links":{"resolver":"https://pith.science/pith/6ZGA4KVISCUAGZ6EW7TPIU2CWK","bundle":"https://pith.science/pith/6ZGA4KVISCUAGZ6EW7TPIU2CWK/bundle.json","state":"https://pith.science/pith/6ZGA4KVISCUAGZ6EW7TPIU2CWK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6ZGA4KVISCUAGZ6EW7TPIU2CWK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6ZGA4KVISCUAGZ6EW7TPIU2CWK","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":"e41fc6caf197e8bccb2bdb4cf311c242bc7438454317c432c34c068cd0327607","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-27T05:06:24Z","title_canon_sha256":"f0c1b0f13778a14370c41b6e7c997f243ddde5531970a1512901bfb948b032ba"},"schema_version":"1.0","source":{"id":"2405.16836","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16836","created_at":"2026-07-05T08:23:36Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16836v1","created_at":"2026-07-05T08:23:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16836","created_at":"2026-07-05T08:23:36Z"},{"alias_kind":"pith_short_12","alias_value":"6ZGA4KVISCUA","created_at":"2026-07-05T08:23:36Z"},{"alias_kind":"pith_short_16","alias_value":"6ZGA4KVISCUAGZ6E","created_at":"2026-07-05T08:23:36Z"},{"alias_kind":"pith_short_8","alias_value":"6ZGA4KVI","created_at":"2026-07-05T08:23:36Z"}],"graph_snapshots":[{"event_id":"sha256:2e1bad98004f79cfd2b6d25e071340ab028bd0a2afe1bde91106d26248f24c04","target":"graph","created_at":"2026-07-05T08:23:36Z","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/2405.16836/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fast feedforward networks (FFFs) are a class of neural networks that exploit the observation that different regions of the input space activate distinct subsets of neurons in wide networks. FFFs partition the input space into separate sections using a differentiable binary tree of neurons and during inference descend the binary tree in order to improve computational efficiency. Inspired by Mixture of Experts (MoE) research, we propose the incorporation of load balancing and Master Leaf techniques into the FFF architecture to improve performance and simplify the training process. We reproduce e","authors_text":"Alexandros Potamianos, Andreas Charalampopoulos, Charilaos Papaioannou, Foivos Ntoulas-Panagiotopoulos, Nikolas Chatzis","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-27T05:06:24Z","title":"Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf Node"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16836","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":"sha256:0e950f7404c212e7f6ace88ffe589cb83011428f4de39a097d4fca2b99ba6293","target":"record","created_at":"2026-07-05T08:23:36Z","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":"e41fc6caf197e8bccb2bdb4cf311c242bc7438454317c432c34c068cd0327607","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-27T05:06:24Z","title_canon_sha256":"f0c1b0f13778a14370c41b6e7c997f243ddde5531970a1512901bfb948b032ba"},"schema_version":"1.0","source":{"id":"2405.16836","kind":"arxiv","version":1}},"canonical_sha256":"f64c0e2aa890a80367c4b7e6f45342b28684fc6d32be8eea0f3e9717f200abd2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f64c0e2aa890a80367c4b7e6f45342b28684fc6d32be8eea0f3e9717f200abd2","first_computed_at":"2026-07-05T08:23:36.264830Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:36.264830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jf/r9hNFQ2lW6iMvg/sNJ5uqVovBPherWOiZS01MK7lvXhyjuWe3+8kBzEAwEOxJl8kOOo0xmcThTPokxZ3hBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:36.265401Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.16836","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e950f7404c212e7f6ace88ffe589cb83011428f4de39a097d4fca2b99ba6293","sha256:2e1bad98004f79cfd2b6d25e071340ab028bd0a2afe1bde91106d26248f24c04"],"state_sha256":"1069faaed2d8dcb2bcc56c07e45847f0e58d8372808352a9f7570386e2dc732a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rJaa/Z5RBk17AuG27KYPmKgQaZMXZbAHGq78SZ3KtZx8NNWyf27WZVyJ94/ixeikfAO+ZBAJTZziwsqbDg42Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T01:39:45.365940Z","bundle_sha256":"14a06eaed5267e7b74bcb6f8e127b33067851557a34315a6dd858bee50689d3b"}}