{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:7WOIRLGOKF2S5TIABFOAGRR2VQ","short_pith_number":"pith:7WOIRLGO","schema_version":"1.0","canonical_sha256":"fd9c88acce51752ecd00095c03463aac36fcb70f03acce61621b3ce8a8e1c5b3","source":{"kind":"arxiv","id":"2409.11593","version":2},"attestation_state":"computed","paper":{"title":"Self-Contrastive Forward-Forward Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.ET","cs.NE"],"primary_cat":"cs.LG","authors_text":"Dongshu Liu, Jeremie Laydevant, Julie Grollier, Xing Chen","submitted_at":"2024-09-17T22:58:20Z","abstract_excerpt":"Agents that operate autonomously benefit from lifelong learning capabilities. However, compatible training algorithms must comply with the decentralized nature of these systems, which imposes constraints on both the parameter counts and the computational resources. The Forward-Forward (FF) algorithm is one of these. FF relies only on feedforward operations, the same used for inference, for optimizing layer-wise objectives. This purely forward approach eliminates the need for transpose operations required in traditional backpropagation. Despite its potential, FF has failed to reach state-of-the"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2409.11593","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-17T22:58:20Z","cross_cats_sorted":["cs.AI","cs.CV","cs.ET","cs.NE"],"title_canon_sha256":"3cee44aa823a5d56062f523817749f6e47a4c69c8484664347071dba4122495f","abstract_canon_sha256":"378b78dcad8205fd87ac24c928422dfa9dfcf1e208040894915ce552e8a7c608"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:40:12.918528Z","signature_b64":"/1zEpo21C3LeinLWP/6n3ITjcu1TYalI52rsmytIFGysAbcLSN4YVU/uT6WvLpIwYSCOLKn0bs1hfZ8Z35VnCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd9c88acce51752ecd00095c03463aac36fcb70f03acce61621b3ce8a8e1c5b3","last_reissued_at":"2026-07-05T10:40:12.918024Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:40:12.918024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Self-Contrastive Forward-Forward Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.ET","cs.NE"],"primary_cat":"cs.LG","authors_text":"Dongshu Liu, Jeremie Laydevant, Julie Grollier, Xing Chen","submitted_at":"2024-09-17T22:58:20Z","abstract_excerpt":"Agents that operate autonomously benefit from lifelong learning capabilities. However, compatible training algorithms must comply with the decentralized nature of these systems, which imposes constraints on both the parameter counts and the computational resources. The Forward-Forward (FF) algorithm is one of these. FF relies only on feedforward operations, the same used for inference, for optimizing layer-wise objectives. This purely forward approach eliminates the need for transpose operations required in traditional backpropagation. Despite its potential, FF has failed to reach state-of-the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.11593","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/2409.11593/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2409.11593","created_at":"2026-07-05T10:40:12.918079+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.11593v2","created_at":"2026-07-05T10:40:12.918079+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.11593","created_at":"2026-07-05T10:40:12.918079+00:00"},{"alias_kind":"pith_short_12","alias_value":"7WOIRLGOKF2S","created_at":"2026-07-05T10:40:12.918079+00:00"},{"alias_kind":"pith_short_16","alias_value":"7WOIRLGOKF2S5TIA","created_at":"2026-07-05T10:40:12.918079+00:00"},{"alias_kind":"pith_short_8","alias_value":"7WOIRLGO","created_at":"2026-07-05T10:40:12.918079+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2501.03176","citing_title":"Scalable Forward-Forward Algorithm","ref_index":9,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7WOIRLGOKF2S5TIABFOAGRR2VQ","json":"https://pith.science/pith/7WOIRLGOKF2S5TIABFOAGRR2VQ.json","graph_json":"https://pith.science/api/pith-number/7WOIRLGOKF2S5TIABFOAGRR2VQ/graph.json","events_json":"https://pith.science/api/pith-number/7WOIRLGOKF2S5TIABFOAGRR2VQ/events.json","paper":"https://pith.science/paper/7WOIRLGO"},"agent_actions":{"view_html":"https://pith.science/pith/7WOIRLGOKF2S5TIABFOAGRR2VQ","download_json":"https://pith.science/pith/7WOIRLGOKF2S5TIABFOAGRR2VQ.json","view_paper":"https://pith.science/paper/7WOIRLGO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.11593&json=true","fetch_graph":"https://pith.science/api/pith-number/7WOIRLGOKF2S5TIABFOAGRR2VQ/graph.json","fetch_events":"https://pith.science/api/pith-number/7WOIRLGOKF2S5TIABFOAGRR2VQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7WOIRLGOKF2S5TIABFOAGRR2VQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7WOIRLGOKF2S5TIABFOAGRR2VQ/action/storage_attestation","attest_author":"https://pith.science/pith/7WOIRLGOKF2S5TIABFOAGRR2VQ/action/author_attestation","sign_citation":"https://pith.science/pith/7WOIRLGOKF2S5TIABFOAGRR2VQ/action/citation_signature","submit_replication":"https://pith.science/pith/7WOIRLGOKF2S5TIABFOAGRR2VQ/action/replication_record"}},"created_at":"2026-07-05T10:40:12.918079+00:00","updated_at":"2026-07-05T10:40:12.918079+00:00"}