{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:GTRYIRWXM34RQ4R4Z2QVOO5SZZ","short_pith_number":"pith:GTRYIRWX","canonical_record":{"source":{"id":"2106.11345","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2021-06-21T18:21:26Z","cross_cats_sorted":["cs.HC","cs.LG","cs.MA"],"title_canon_sha256":"1636a9e576d11ebaaea67ea8f412718c87d01ee799ee7bd058aebb61ad20566c","abstract_canon_sha256":"8a9c47e91c708966218749c21a9139a543e9f63f0af2dfbb291e3a22a25d1794"},"schema_version":"1.0"},"canonical_sha256":"34e38446d766f918723ccea1573bb2ce4c2fcc7369c1ed0006606094dad17e0b","source":{"kind":"arxiv","id":"2106.11345","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.11345","created_at":"2026-07-05T02:50:59Z"},{"alias_kind":"arxiv_version","alias_value":"2106.11345v1","created_at":"2026-07-05T02:50:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.11345","created_at":"2026-07-05T02:50:59Z"},{"alias_kind":"pith_short_12","alias_value":"GTRYIRWXM34R","created_at":"2026-07-05T02:50:59Z"},{"alias_kind":"pith_short_16","alias_value":"GTRYIRWXM34RQ4R4","created_at":"2026-07-05T02:50:59Z"},{"alias_kind":"pith_short_8","alias_value":"GTRYIRWX","created_at":"2026-07-05T02:50:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:GTRYIRWXM34RQ4R4Z2QVOO5SZZ","target":"record","payload":{"canonical_record":{"source":{"id":"2106.11345","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2021-06-21T18:21:26Z","cross_cats_sorted":["cs.HC","cs.LG","cs.MA"],"title_canon_sha256":"1636a9e576d11ebaaea67ea8f412718c87d01ee799ee7bd058aebb61ad20566c","abstract_canon_sha256":"8a9c47e91c708966218749c21a9139a543e9f63f0af2dfbb291e3a22a25d1794"},"schema_version":"1.0"},"canonical_sha256":"34e38446d766f918723ccea1573bb2ce4c2fcc7369c1ed0006606094dad17e0b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:50:59.866487Z","signature_b64":"52i42g8Q71k4ly4xre6ro8Q6ZJrl5yCneciEgWl259x2ircfR4hA2ApBWqmqGQLjkJWBLyYPbNpgL1rnMENvDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"34e38446d766f918723ccea1573bb2ce4c2fcc7369c1ed0006606094dad17e0b","last_reissued_at":"2026-07-05T02:50:59.865973Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:50:59.865973Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.11345","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":"2026-07-05T02:50:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OU8c1iTf85RpwaVxmqMGsDYXuW8nxXTI8TRCEZdlsbJw28p3RjUNiaCXXp3k+OcDLhJjxQjd35U+MuleJpVIDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T16:54:58.198298Z"},"content_sha256":"be2aae9a28e9aba66b52197f7b91971bc526ee3136500456c58a3788a7105841","schema_version":"1.0","event_id":"sha256:be2aae9a28e9aba66b52197f7b91971bc526ee3136500456c58a3788a7105841"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:GTRYIRWXM34RQ4R4Z2QVOO5SZZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.HC","cs.LG","cs.MA"],"primary_cat":"cs.AI","authors_text":"AI Redefined, Clod\\'eric Mars, Fran\\c{c}ois Chabot, Gregory Szriftgiser, Sagar Kurandwad, Sai Krishna Gottipati","submitted_at":"2021-06-21T18:21:26Z","abstract_excerpt":"Involving humans directly for the benefit of AI agents' training is getting traction thanks to several advances in reinforcement learning and human-in-the-loop learning. Humans can provide rewards to the agent, demonstrate tasks, design a curriculum, or act in the environment, but these benefits also come with architectural, functional design and engineering complexities. We present Cogment, a unifying open-source framework that introduces an actor formalism to support a variety of humans-agents collaboration typologies and training approaches. It is also scalable out of the box thanks to a di"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.11345","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/2106.11345/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":"2026-07-05T02:50:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oNtzkmVdOk3MaS6tF7JsBwJx+GfjDyDdBuvZEonAJtnnCPt6nApUehbZBaJKuzHcVKg9SIcNnPlxmoFnS9OsCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T16:54:58.198694Z"},"content_sha256":"873bf1e484e37719790efdb458cd2f7ae754f7af13c97834fdf8c8f043e1c041","schema_version":"1.0","event_id":"sha256:873bf1e484e37719790efdb458cd2f7ae754f7af13c97834fdf8c8f043e1c041"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GTRYIRWXM34RQ4R4Z2QVOO5SZZ/bundle.json","state_url":"https://pith.science/pith/GTRYIRWXM34RQ4R4Z2QVOO5SZZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GTRYIRWXM34RQ4R4Z2QVOO5SZZ/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":"2026-07-12T16:54:58Z","links":{"resolver":"https://pith.science/pith/GTRYIRWXM34RQ4R4Z2QVOO5SZZ","bundle":"https://pith.science/pith/GTRYIRWXM34RQ4R4Z2QVOO5SZZ/bundle.json","state":"https://pith.science/pith/GTRYIRWXM34RQ4R4Z2QVOO5SZZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GTRYIRWXM34RQ4R4Z2QVOO5SZZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:GTRYIRWXM34RQ4R4Z2QVOO5SZZ","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":"8a9c47e91c708966218749c21a9139a543e9f63f0af2dfbb291e3a22a25d1794","cross_cats_sorted":["cs.HC","cs.LG","cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2021-06-21T18:21:26Z","title_canon_sha256":"1636a9e576d11ebaaea67ea8f412718c87d01ee799ee7bd058aebb61ad20566c"},"schema_version":"1.0","source":{"id":"2106.11345","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.11345","created_at":"2026-07-05T02:50:59Z"},{"alias_kind":"arxiv_version","alias_value":"2106.11345v1","created_at":"2026-07-05T02:50:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.11345","created_at":"2026-07-05T02:50:59Z"},{"alias_kind":"pith_short_12","alias_value":"GTRYIRWXM34R","created_at":"2026-07-05T02:50:59Z"},{"alias_kind":"pith_short_16","alias_value":"GTRYIRWXM34RQ4R4","created_at":"2026-07-05T02:50:59Z"},{"alias_kind":"pith_short_8","alias_value":"GTRYIRWX","created_at":"2026-07-05T02:50:59Z"}],"graph_snapshots":[{"event_id":"sha256:873bf1e484e37719790efdb458cd2f7ae754f7af13c97834fdf8c8f043e1c041","target":"graph","created_at":"2026-07-05T02:50:59Z","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/2106.11345/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Involving humans directly for the benefit of AI agents' training is getting traction thanks to several advances in reinforcement learning and human-in-the-loop learning. Humans can provide rewards to the agent, demonstrate tasks, design a curriculum, or act in the environment, but these benefits also come with architectural, functional design and engineering complexities. We present Cogment, a unifying open-source framework that introduces an actor formalism to support a variety of humans-agents collaboration typologies and training approaches. It is also scalable out of the box thanks to a di","authors_text":"AI Redefined, Clod\\'eric Mars, Fran\\c{c}ois Chabot, Gregory Szriftgiser, Sagar Kurandwad, Sai Krishna Gottipati","cross_cats":["cs.HC","cs.LG","cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2021-06-21T18:21:26Z","title":"Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.11345","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:be2aae9a28e9aba66b52197f7b91971bc526ee3136500456c58a3788a7105841","target":"record","created_at":"2026-07-05T02:50:59Z","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":"8a9c47e91c708966218749c21a9139a543e9f63f0af2dfbb291e3a22a25d1794","cross_cats_sorted":["cs.HC","cs.LG","cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2021-06-21T18:21:26Z","title_canon_sha256":"1636a9e576d11ebaaea67ea8f412718c87d01ee799ee7bd058aebb61ad20566c"},"schema_version":"1.0","source":{"id":"2106.11345","kind":"arxiv","version":1}},"canonical_sha256":"34e38446d766f918723ccea1573bb2ce4c2fcc7369c1ed0006606094dad17e0b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34e38446d766f918723ccea1573bb2ce4c2fcc7369c1ed0006606094dad17e0b","first_computed_at":"2026-07-05T02:50:59.865973Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:50:59.865973Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"52i42g8Q71k4ly4xre6ro8Q6ZJrl5yCneciEgWl259x2ircfR4hA2ApBWqmqGQLjkJWBLyYPbNpgL1rnMENvDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:50:59.866487Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.11345","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:be2aae9a28e9aba66b52197f7b91971bc526ee3136500456c58a3788a7105841","sha256:873bf1e484e37719790efdb458cd2f7ae754f7af13c97834fdf8c8f043e1c041"],"state_sha256":"329c42f64b2ec0794822058aa233b9f743bb175cbb9a039d6dfb9a907063f4ca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cWq2LhAvSYsroa7wPF5G0W5zz2A10+X4tnK6h2rhhARQQwW71HEErYay3YGuVUnGFcy3kM727c+OpxkNA4DTDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T16:54:58.200858Z","bundle_sha256":"b3c6054dbcc1a0a7c7ce0f6aa619cea594c176eca1c27bf83706086e4b5ce6d0"}}