{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KDIVL6T445NZ25YUDAJ6PCYGQV","short_pith_number":"pith:KDIVL6T4","canonical_record":{"source":{"id":"2502.07942","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-02-11T20:41:49Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1dd1df966126e4d66ef55f40e106c7c5c3639342aede397614c7688ead5582a5","abstract_canon_sha256":"a01dc87f6637dad4260df70216f367a2e213ea749691d2be0b688191bd3175fa"},"schema_version":"1.0"},"canonical_sha256":"50d155fa7ce75b9d77141813e78b068569982c121aafd81f62cf5bdbecb576a5","source":{"kind":"arxiv","id":"2502.07942","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.07942","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"arxiv_version","alias_value":"2502.07942v2","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.07942","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"pith_short_12","alias_value":"KDIVL6T445NZ","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"pith_short_16","alias_value":"KDIVL6T445NZ25YU","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"pith_short_8","alias_value":"KDIVL6T4","created_at":"2026-07-05T10:25:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KDIVL6T445NZ25YUDAJ6PCYGQV","target":"record","payload":{"canonical_record":{"source":{"id":"2502.07942","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-02-11T20:41:49Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1dd1df966126e4d66ef55f40e106c7c5c3639342aede397614c7688ead5582a5","abstract_canon_sha256":"a01dc87f6637dad4260df70216f367a2e213ea749691d2be0b688191bd3175fa"},"schema_version":"1.0"},"canonical_sha256":"50d155fa7ce75b9d77141813e78b068569982c121aafd81f62cf5bdbecb576a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:25:47.243989Z","signature_b64":"bT3gjmX6BCmWhdv61kwSgwI6bOpO+HAukv4BhFqR0ygVSCZFZqb38LMha2xGo+5IIasZZY70W+XqMwA7a2IXBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50d155fa7ce75b9d77141813e78b068569982c121aafd81f62cf5bdbecb576a5","last_reissued_at":"2026-07-05T10:25:47.243386Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:25:47.243386Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.07942","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:25:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hk58DWXqG2LYt0zXYyFvp7m/zewsDZYISJkRBf8vOt+bzpS4EV+/J9w2+lRBjQlrgpExrdcvlglxIgTA2aawBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T05:54:13.399774Z"},"content_sha256":"df7ecb84d5d722669b68b66a123fbddf315ee581dd9a38b291813ac0a64e7cb2","schema_version":"1.0","event_id":"sha256:df7ecb84d5d722669b68b66a123fbddf315ee581dd9a38b291813ac0a64e7cb2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KDIVL6T445NZ25YUDAJ6PCYGQV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.MA","authors_text":"Jie Peng, Kaidi Xu, Leandro Z. Agudelo, Mohan Zhang, Mufan Qiu, Peter Qian, Ruichen Zhang, Tianlong Chen, Vincent Lu, Zhen Tan","submitted_at":"2025-02-11T20:41:49Z","abstract_excerpt":"Web browsing agents powered by large language models (LLMs) have shown tremendous potential in automating complex web-based tasks. Existing approaches typically rely on large LLMs (e.g., GPT-4o) to explore web environments and generate trajectory data, which is then used either for demonstration retrieval (for large LLMs) or to distill small LLMs (e.g., Llama3) in a process that remains decoupled from the exploration. In this paper, we propose AgentSymbiotic, an iterative framework that couples data synthesis with task-performance, yielding a \"symbiotic improvement\" for both large and small LL"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.07942","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/2502.07942/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":"2026-07-05T10:25:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8xOeoztohqwAjIDHIoyo5xsvzeDrkQyRGc9urmtctLBu3mL4toDq255MlTc0XJ3xJsUxQ6Cxo8Hh029kZcqKAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T05:54:13.400293Z"},"content_sha256":"f73922e0ad9e5cc32c400a3111af420532d87cbfd340dc2e304487809951591f","schema_version":"1.0","event_id":"sha256:f73922e0ad9e5cc32c400a3111af420532d87cbfd340dc2e304487809951591f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KDIVL6T445NZ25YUDAJ6PCYGQV/bundle.json","state_url":"https://pith.science/pith/KDIVL6T445NZ25YUDAJ6PCYGQV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KDIVL6T445NZ25YUDAJ6PCYGQV/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":"2026-08-06T05:54:13Z","links":{"resolver":"https://pith.science/pith/KDIVL6T445NZ25YUDAJ6PCYGQV","bundle":"https://pith.science/pith/KDIVL6T445NZ25YUDAJ6PCYGQV/bundle.json","state":"https://pith.science/pith/KDIVL6T445NZ25YUDAJ6PCYGQV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KDIVL6T445NZ25YUDAJ6PCYGQV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KDIVL6T445NZ25YUDAJ6PCYGQV","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":"a01dc87f6637dad4260df70216f367a2e213ea749691d2be0b688191bd3175fa","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-02-11T20:41:49Z","title_canon_sha256":"1dd1df966126e4d66ef55f40e106c7c5c3639342aede397614c7688ead5582a5"},"schema_version":"1.0","source":{"id":"2502.07942","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.07942","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"arxiv_version","alias_value":"2502.07942v2","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.07942","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"pith_short_12","alias_value":"KDIVL6T445NZ","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"pith_short_16","alias_value":"KDIVL6T445NZ25YU","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"pith_short_8","alias_value":"KDIVL6T4","created_at":"2026-07-05T10:25:47Z"}],"graph_snapshots":[{"event_id":"sha256:f73922e0ad9e5cc32c400a3111af420532d87cbfd340dc2e304487809951591f","target":"graph","created_at":"2026-07-05T10:25:47Z","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/2502.07942/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Web browsing agents powered by large language models (LLMs) have shown tremendous potential in automating complex web-based tasks. Existing approaches typically rely on large LLMs (e.g., GPT-4o) to explore web environments and generate trajectory data, which is then used either for demonstration retrieval (for large LLMs) or to distill small LLMs (e.g., Llama3) in a process that remains decoupled from the exploration. In this paper, we propose AgentSymbiotic, an iterative framework that couples data synthesis with task-performance, yielding a \"symbiotic improvement\" for both large and small LL","authors_text":"Jie Peng, Kaidi Xu, Leandro Z. Agudelo, Mohan Zhang, Mufan Qiu, Peter Qian, Ruichen Zhang, Tianlong Chen, Vincent Lu, Zhen Tan","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-02-11T20:41:49Z","title":"Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.07942","kind":"arxiv","version":2},"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:df7ecb84d5d722669b68b66a123fbddf315ee581dd9a38b291813ac0a64e7cb2","target":"record","created_at":"2026-07-05T10:25:47Z","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":"a01dc87f6637dad4260df70216f367a2e213ea749691d2be0b688191bd3175fa","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-02-11T20:41:49Z","title_canon_sha256":"1dd1df966126e4d66ef55f40e106c7c5c3639342aede397614c7688ead5582a5"},"schema_version":"1.0","source":{"id":"2502.07942","kind":"arxiv","version":2}},"canonical_sha256":"50d155fa7ce75b9d77141813e78b068569982c121aafd81f62cf5bdbecb576a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50d155fa7ce75b9d77141813e78b068569982c121aafd81f62cf5bdbecb576a5","first_computed_at":"2026-07-05T10:25:47.243386Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:25:47.243386Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bT3gjmX6BCmWhdv61kwSgwI6bOpO+HAukv4BhFqR0ygVSCZFZqb38LMha2xGo+5IIasZZY70W+XqMwA7a2IXBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:25:47.243989Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.07942","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df7ecb84d5d722669b68b66a123fbddf315ee581dd9a38b291813ac0a64e7cb2","sha256:f73922e0ad9e5cc32c400a3111af420532d87cbfd340dc2e304487809951591f"],"state_sha256":"9529d7038685c6b1953b2dfe234b325d95b3ce8cf8f48bbb0f07ae6c715b4dba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WbeFbanhrmeEMGntHcU7+FNRiVrCPI6bzqbfvXOz7S6HwHd2yOmw0ex8ZRS1Y1mNH8LeUiqRcpa6ly8r/xt9CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T05:54:13.406278Z","bundle_sha256":"1cf988c2b58557dcdbca51817b829f921b20a52d088f4f8e8c37d1213df3a86a"}}