{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ASIBAHI7TG4UBBRM774RMKSWPH","short_pith_number":"pith:ASIBAHI7","canonical_record":{"source":{"id":"2404.04442","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-05T22:59:02Z","cross_cats_sorted":[],"title_canon_sha256":"5dd5187fa75aebd3f5957dd6a35a4957bcaf0ceec076de4631062bcd5823a976","abstract_canon_sha256":"9ea55ea7ef2a69d0aa2c39d1244ca89c95d744d6ba3bed833882cebc329abb1a"},"schema_version":"1.0"},"canonical_sha256":"0490101d1f99b940862cfff9162a5679ff029e7f2c1d145b617b1d890c278c58","source":{"kind":"arxiv","id":"2404.04442","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.04442","created_at":"2026-07-05T08:05:58Z"},{"alias_kind":"arxiv_version","alias_value":"2404.04442v1","created_at":"2026-07-05T08:05:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.04442","created_at":"2026-07-05T08:05:58Z"},{"alias_kind":"pith_short_12","alias_value":"ASIBAHI7TG4U","created_at":"2026-07-05T08:05:58Z"},{"alias_kind":"pith_short_16","alias_value":"ASIBAHI7TG4UBBRM","created_at":"2026-07-05T08:05:58Z"},{"alias_kind":"pith_short_8","alias_value":"ASIBAHI7","created_at":"2026-07-05T08:05:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ASIBAHI7TG4UBBRM774RMKSWPH","target":"record","payload":{"canonical_record":{"source":{"id":"2404.04442","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-05T22:59:02Z","cross_cats_sorted":[],"title_canon_sha256":"5dd5187fa75aebd3f5957dd6a35a4957bcaf0ceec076de4631062bcd5823a976","abstract_canon_sha256":"9ea55ea7ef2a69d0aa2c39d1244ca89c95d744d6ba3bed833882cebc329abb1a"},"schema_version":"1.0"},"canonical_sha256":"0490101d1f99b940862cfff9162a5679ff029e7f2c1d145b617b1d890c278c58","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:05:58.212935Z","signature_b64":"8IEGQTwkGD6tjXvH9Oar9SPzgzU0skjzcjzMbcxHlWzJgUv4LjOvkLgVbY6ZpD6NAHqqs86vi86dOAOk7I7TAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0490101d1f99b940862cfff9162a5679ff029e7f2c1d145b617b1d890c278c58","last_reissued_at":"2026-07-05T08:05:58.212521Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:05:58.212521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.04442","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":"2026-07-05T08:05:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hkJhi6nhoLgpqcvkLyY7PJhHGxYgWhSYBySTr6d7gIDJC36ZqtiLzzgN11b6q4Kw4oKM7sg8YCYU3tP0OWI3Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:32:07.279297Z"},"content_sha256":"f6145f27b2fe3bcb00177471e85f81522d29cb96eef3e15296b93390ed118903","schema_version":"1.0","event_id":"sha256:f6145f27b2fe3bcb00177471e85f81522d29cb96eef3e15296b93390ed118903"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ASIBAHI7TG4UBBRM774RMKSWPH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Autonomous Agents through the Lens of Large Language Models: A Review","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Saikat Barua","submitted_at":"2024-04-05T22:59:02Z","abstract_excerpt":"Large Language Models (LLMs) are transforming artificial intelligence, enabling autonomous agents to perform diverse tasks across various domains. These agents, proficient in human-like text comprehension and generation, have the potential to revolutionize sectors from customer service to healthcare. However, they face challenges such as multimodality, human value alignment, hallucinations, and evaluation. Techniques like prompting, reasoning, tool utilization, and in-context learning are being explored to enhance their capabilities. Evaluation platforms like AgentBench, WebArena, and ToolLLM "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.04442","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/2404.04442/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":"2026-07-05T08:05:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mh//r8sRvVZxMiriU5hd5FQ6zTQn0fBhMYvWkErpL9Pcs0VgLoWqfkcOb2368h4yxjQ+pgZpFb7AHoS29IYIBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:32:07.280192Z"},"content_sha256":"a46d303f1b4a6e0630cda5708d7bca5487e7f077fb3902a3b80d4201172890e1","schema_version":"1.0","event_id":"sha256:a46d303f1b4a6e0630cda5708d7bca5487e7f077fb3902a3b80d4201172890e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ASIBAHI7TG4UBBRM774RMKSWPH/bundle.json","state_url":"https://pith.science/pith/ASIBAHI7TG4UBBRM774RMKSWPH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ASIBAHI7TG4UBBRM774RMKSWPH/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":"2026-08-06T02:32:07Z","links":{"resolver":"https://pith.science/pith/ASIBAHI7TG4UBBRM774RMKSWPH","bundle":"https://pith.science/pith/ASIBAHI7TG4UBBRM774RMKSWPH/bundle.json","state":"https://pith.science/pith/ASIBAHI7TG4UBBRM774RMKSWPH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ASIBAHI7TG4UBBRM774RMKSWPH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ASIBAHI7TG4UBBRM774RMKSWPH","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":"9ea55ea7ef2a69d0aa2c39d1244ca89c95d744d6ba3bed833882cebc329abb1a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-05T22:59:02Z","title_canon_sha256":"5dd5187fa75aebd3f5957dd6a35a4957bcaf0ceec076de4631062bcd5823a976"},"schema_version":"1.0","source":{"id":"2404.04442","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.04442","created_at":"2026-07-05T08:05:58Z"},{"alias_kind":"arxiv_version","alias_value":"2404.04442v1","created_at":"2026-07-05T08:05:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.04442","created_at":"2026-07-05T08:05:58Z"},{"alias_kind":"pith_short_12","alias_value":"ASIBAHI7TG4U","created_at":"2026-07-05T08:05:58Z"},{"alias_kind":"pith_short_16","alias_value":"ASIBAHI7TG4UBBRM","created_at":"2026-07-05T08:05:58Z"},{"alias_kind":"pith_short_8","alias_value":"ASIBAHI7","created_at":"2026-07-05T08:05:58Z"}],"graph_snapshots":[{"event_id":"sha256:a46d303f1b4a6e0630cda5708d7bca5487e7f077fb3902a3b80d4201172890e1","target":"graph","created_at":"2026-07-05T08:05:58Z","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/2404.04442/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) are transforming artificial intelligence, enabling autonomous agents to perform diverse tasks across various domains. These agents, proficient in human-like text comprehension and generation, have the potential to revolutionize sectors from customer service to healthcare. However, they face challenges such as multimodality, human value alignment, hallucinations, and evaluation. Techniques like prompting, reasoning, tool utilization, and in-context learning are being explored to enhance their capabilities. Evaluation platforms like AgentBench, WebArena, and ToolLLM ","authors_text":"Saikat Barua","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-05T22:59:02Z","title":"Exploring Autonomous Agents through the Lens of Large Language Models: A Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.04442","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:f6145f27b2fe3bcb00177471e85f81522d29cb96eef3e15296b93390ed118903","target":"record","created_at":"2026-07-05T08:05:58Z","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":"9ea55ea7ef2a69d0aa2c39d1244ca89c95d744d6ba3bed833882cebc329abb1a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-05T22:59:02Z","title_canon_sha256":"5dd5187fa75aebd3f5957dd6a35a4957bcaf0ceec076de4631062bcd5823a976"},"schema_version":"1.0","source":{"id":"2404.04442","kind":"arxiv","version":1}},"canonical_sha256":"0490101d1f99b940862cfff9162a5679ff029e7f2c1d145b617b1d890c278c58","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0490101d1f99b940862cfff9162a5679ff029e7f2c1d145b617b1d890c278c58","first_computed_at":"2026-07-05T08:05:58.212521Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:05:58.212521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8IEGQTwkGD6tjXvH9Oar9SPzgzU0skjzcjzMbcxHlWzJgUv4LjOvkLgVbY6ZpD6NAHqqs86vi86dOAOk7I7TAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:05:58.212935Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.04442","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6145f27b2fe3bcb00177471e85f81522d29cb96eef3e15296b93390ed118903","sha256:a46d303f1b4a6e0630cda5708d7bca5487e7f077fb3902a3b80d4201172890e1"],"state_sha256":"e46fc02f6f3dee8b772e0acf8befc4ad027e6a532d98b23945ae87a3239626ba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"65yqPGQe03iklnt0cquECOQvTxfFs3HYBLEpIWtWjeynzZ4OcMKl31pyqCv/dnheWNPaaLW7ReatDwv4mwi3AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T02:32:07.286129Z","bundle_sha256":"386d1be91f73b387e3a197bdb62a7f6970db910404aea2c0601c9452049e28b6"}}