{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:I7XPAF6GQPCSZF2JPEU35OF5OK","short_pith_number":"pith:I7XPAF6G","canonical_record":{"source":{"id":"2412.04093","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-05T11:57:49Z","cross_cats_sorted":[],"title_canon_sha256":"6289505a32d5106e6efb9b3e021e7b0dc1e6573b050d01c3d8ec278dfb8de9aa","abstract_canon_sha256":"5d069baa0ae9727e6d9c07a3bfef09fcf0e246eaafc459027bda56a8cbf01f3b"},"schema_version":"1.0"},"canonical_sha256":"47eef017c683c52c97497929beb8bd729421e7f206e308c1dd342a78550f9fcb","source":{"kind":"arxiv","id":"2412.04093","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.04093","created_at":"2026-07-05T09:44:59Z"},{"alias_kind":"arxiv_version","alias_value":"2412.04093v1","created_at":"2026-07-05T09:44:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.04093","created_at":"2026-07-05T09:44:59Z"},{"alias_kind":"pith_short_12","alias_value":"I7XPAF6GQPCS","created_at":"2026-07-05T09:44:59Z"},{"alias_kind":"pith_short_16","alias_value":"I7XPAF6GQPCSZF2J","created_at":"2026-07-05T09:44:59Z"},{"alias_kind":"pith_short_8","alias_value":"I7XPAF6G","created_at":"2026-07-05T09:44:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:I7XPAF6GQPCSZF2JPEU35OF5OK","target":"record","payload":{"canonical_record":{"source":{"id":"2412.04093","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-05T11:57:49Z","cross_cats_sorted":[],"title_canon_sha256":"6289505a32d5106e6efb9b3e021e7b0dc1e6573b050d01c3d8ec278dfb8de9aa","abstract_canon_sha256":"5d069baa0ae9727e6d9c07a3bfef09fcf0e246eaafc459027bda56a8cbf01f3b"},"schema_version":"1.0"},"canonical_sha256":"47eef017c683c52c97497929beb8bd729421e7f206e308c1dd342a78550f9fcb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:44:59.448264Z","signature_b64":"6Bc5BU/qTTjSx4RubSbRVaWlsumrcO+r7jjX+2kRcOcJIngyZVrgixBi+jpY7E4m2h9dBT3aQBXonXP6U8fXBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47eef017c683c52c97497929beb8bd729421e7f206e308c1dd342a78550f9fcb","last_reissued_at":"2026-07-05T09:44:59.447802Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:44:59.447802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.04093","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":"2026-07-05T09:44:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZWYvVc0tX8r3IOwrwmoRKq3XZhLhWlvE8LRzGMBRipBd8cQnWxWr6VghFZknsbRJ14LW08izSIQ4Y8fBqfESCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:41:34.226125Z"},"content_sha256":"b92747f0a611630898969ec62bfdb082d18f34401cc9a95bf4b348e4164655e1","schema_version":"1.0","event_id":"sha256:b92747f0a611630898969ec62bfdb082d18f34401cc9a95bf4b348e4164655e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:I7XPAF6GQPCSZF2JPEU35OF5OK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Practical Considerations for Agentic LLM Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chris Sypherd, Vaishak Belle","submitted_at":"2024-12-05T11:57:49Z","abstract_excerpt":"As the strength of Large Language Models (LLMs) has grown over recent years, so too has interest in their use as the underlying models for autonomous agents. Although LLMs demonstrate emergent abilities and broad expertise across natural language domains, their inherent unpredictability makes the implementation of LLM agents challenging, resulting in a gap between related research and the real-world implementation of such systems. To bridge this gap, this paper frames actionable insights and considerations from the research community in the context of established application paradigms to enabl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.04093","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/2412.04093/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":"2026-07-05T09:44:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vhVZWqpZE/7A3zNXWpU6lp7qHZaH5qG2fKYevEGFZG0+aEag3jJLafxSqfNQs4dWYnv87rMt2yZXd0E7+ppwCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:41:34.226642Z"},"content_sha256":"03cd1b823640c0a90dd106a48c2411c759db45ffd53ab93d990b16a72c6c89ef","schema_version":"1.0","event_id":"sha256:03cd1b823640c0a90dd106a48c2411c759db45ffd53ab93d990b16a72c6c89ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I7XPAF6GQPCSZF2JPEU35OF5OK/bundle.json","state_url":"https://pith.science/pith/I7XPAF6GQPCSZF2JPEU35OF5OK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I7XPAF6GQPCSZF2JPEU35OF5OK/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":"2026-08-10T10:41:34Z","links":{"resolver":"https://pith.science/pith/I7XPAF6GQPCSZF2JPEU35OF5OK","bundle":"https://pith.science/pith/I7XPAF6GQPCSZF2JPEU35OF5OK/bundle.json","state":"https://pith.science/pith/I7XPAF6GQPCSZF2JPEU35OF5OK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I7XPAF6GQPCSZF2JPEU35OF5OK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:I7XPAF6GQPCSZF2JPEU35OF5OK","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":"5d069baa0ae9727e6d9c07a3bfef09fcf0e246eaafc459027bda56a8cbf01f3b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-05T11:57:49Z","title_canon_sha256":"6289505a32d5106e6efb9b3e021e7b0dc1e6573b050d01c3d8ec278dfb8de9aa"},"schema_version":"1.0","source":{"id":"2412.04093","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.04093","created_at":"2026-07-05T09:44:59Z"},{"alias_kind":"arxiv_version","alias_value":"2412.04093v1","created_at":"2026-07-05T09:44:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.04093","created_at":"2026-07-05T09:44:59Z"},{"alias_kind":"pith_short_12","alias_value":"I7XPAF6GQPCS","created_at":"2026-07-05T09:44:59Z"},{"alias_kind":"pith_short_16","alias_value":"I7XPAF6GQPCSZF2J","created_at":"2026-07-05T09:44:59Z"},{"alias_kind":"pith_short_8","alias_value":"I7XPAF6G","created_at":"2026-07-05T09:44:59Z"}],"graph_snapshots":[{"event_id":"sha256:03cd1b823640c0a90dd106a48c2411c759db45ffd53ab93d990b16a72c6c89ef","target":"graph","created_at":"2026-07-05T09:44:59Z","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/2412.04093/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As the strength of Large Language Models (LLMs) has grown over recent years, so too has interest in their use as the underlying models for autonomous agents. Although LLMs demonstrate emergent abilities and broad expertise across natural language domains, their inherent unpredictability makes the implementation of LLM agents challenging, resulting in a gap between related research and the real-world implementation of such systems. To bridge this gap, this paper frames actionable insights and considerations from the research community in the context of established application paradigms to enabl","authors_text":"Chris Sypherd, Vaishak Belle","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-05T11:57:49Z","title":"Practical Considerations for Agentic LLM Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.04093","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:b92747f0a611630898969ec62bfdb082d18f34401cc9a95bf4b348e4164655e1","target":"record","created_at":"2026-07-05T09:44:59Z","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":"5d069baa0ae9727e6d9c07a3bfef09fcf0e246eaafc459027bda56a8cbf01f3b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-05T11:57:49Z","title_canon_sha256":"6289505a32d5106e6efb9b3e021e7b0dc1e6573b050d01c3d8ec278dfb8de9aa"},"schema_version":"1.0","source":{"id":"2412.04093","kind":"arxiv","version":1}},"canonical_sha256":"47eef017c683c52c97497929beb8bd729421e7f206e308c1dd342a78550f9fcb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"47eef017c683c52c97497929beb8bd729421e7f206e308c1dd342a78550f9fcb","first_computed_at":"2026-07-05T09:44:59.447802Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:44:59.447802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6Bc5BU/qTTjSx4RubSbRVaWlsumrcO+r7jjX+2kRcOcJIngyZVrgixBi+jpY7E4m2h9dBT3aQBXonXP6U8fXBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:44:59.448264Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.04093","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b92747f0a611630898969ec62bfdb082d18f34401cc9a95bf4b348e4164655e1","sha256:03cd1b823640c0a90dd106a48c2411c759db45ffd53ab93d990b16a72c6c89ef"],"state_sha256":"11113de273422cef9037c8faa07f3664128dbbf34fb1ac690f2fb21219ea05f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7XAZpNBdVISRUf9uPDZ0NFu5TlnJTxiLjjaGCCmSxaOxVkh/WCRc9m5Ri7XMD397PVIlBylOypKznxMu4zkYDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T10:41:34.232531Z","bundle_sha256":"ae22bf192100f35770563e5c89e90f16bf62bd6db2ee2d9daf02c458ed1e9f96"}}