{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:D6EUSIZ7MLFUGIAOXCOJP65V4G","short_pith_number":"pith:D6EUSIZ7","canonical_record":{"source":{"id":"2410.22552","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-29T21:37:04Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0abcc4981645a082f729714a212634c3ea765488bccfea914c348a956fa020a5","abstract_canon_sha256":"c6cd3beabaeb42294c6cfac02d25282fcb3c2dc3affea5bda5fc796d2534052f"},"schema_version":"1.0"},"canonical_sha256":"1f8949233f62cb43200eb89c97fbb5e18647c854df440c120a83264bc58d6b48","source":{"kind":"arxiv","id":"2410.22552","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.22552","created_at":"2026-07-05T09:28:18Z"},{"alias_kind":"arxiv_version","alias_value":"2410.22552v1","created_at":"2026-07-05T09:28:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.22552","created_at":"2026-07-05T09:28:18Z"},{"alias_kind":"pith_short_12","alias_value":"D6EUSIZ7MLFU","created_at":"2026-07-05T09:28:18Z"},{"alias_kind":"pith_short_16","alias_value":"D6EUSIZ7MLFUGIAO","created_at":"2026-07-05T09:28:18Z"},{"alias_kind":"pith_short_8","alias_value":"D6EUSIZ7","created_at":"2026-07-05T09:28:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:D6EUSIZ7MLFUGIAOXCOJP65V4G","target":"record","payload":{"canonical_record":{"source":{"id":"2410.22552","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-29T21:37:04Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0abcc4981645a082f729714a212634c3ea765488bccfea914c348a956fa020a5","abstract_canon_sha256":"c6cd3beabaeb42294c6cfac02d25282fcb3c2dc3affea5bda5fc796d2534052f"},"schema_version":"1.0"},"canonical_sha256":"1f8949233f62cb43200eb89c97fbb5e18647c854df440c120a83264bc58d6b48","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:28:18.273110Z","signature_b64":"YYjZrgSZq4ieF/pwee2uR3+sJTWsdeY3M3UfBzVZjOJyW49Si7v3XVWQz1fzw2/So4GlTDFOp37211WiCJPUAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f8949233f62cb43200eb89c97fbb5e18647c854df440c120a83264bc58d6b48","last_reissued_at":"2026-07-05T09:28:18.272630Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:28:18.272630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.22552","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":"2026-07-05T09:28:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2UUIKjbvACQPL+yZp2Z8E1IrtYdshiflu3pOUu3QzjV6TGqBiWgxpbVQCM5dN04s08l/wulaZgvE15Ll+s1KAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:38:28.772991Z"},"content_sha256":"a74d89dc52af3947b97be82e6f81e1d10ecfbe4def957b3bb1774f4bf3bf53da","schema_version":"1.0","event_id":"sha256:a74d89dc52af3947b97be82e6f81e1d10ecfbe4def957b3bb1774f4bf3bf53da"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:D6EUSIZ7MLFUGIAOXCOJP65V4G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Dong-Ki Kim, Honglak Lee, Jaekyeom Kim, Lajanugen Logeswaran, Sungryull Sohn","submitted_at":"2024-10-29T21:37:04Z","abstract_excerpt":"In this paper, we introduce Auto-Intent, a method to adapt a pre-trained large language model (LLM) as an agent for a target domain without direct fine-tuning, where we empirically focus on web navigation tasks. Our approach first discovers the underlying intents from target domain demonstrations unsupervisedly, in a highly compact form (up to three words). With the extracted intents, we train our intent predictor to predict the next intent given the agent's past observations and actions. In particular, we propose a self-exploration approach where top-k probable intent predictions are provided"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.22552","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/2410.22552/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":"2026-07-05T09:28:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6A/+wzC6stGsKf+nvIM6E2zTArNgCCT1xT+YeiN+AFQtz045ouaGEPuGfdrmRAqNMsFOZXvp923rywHUs0q1Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:38:28.773928Z"},"content_sha256":"c96dbab85f46921ab20255af74aca6cbf375203bb09772ff058eba68d44da7d8","schema_version":"1.0","event_id":"sha256:c96dbab85f46921ab20255af74aca6cbf375203bb09772ff058eba68d44da7d8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D6EUSIZ7MLFUGIAOXCOJP65V4G/bundle.json","state_url":"https://pith.science/pith/D6EUSIZ7MLFUGIAOXCOJP65V4G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D6EUSIZ7MLFUGIAOXCOJP65V4G/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":"2026-08-09T17:38:28Z","links":{"resolver":"https://pith.science/pith/D6EUSIZ7MLFUGIAOXCOJP65V4G","bundle":"https://pith.science/pith/D6EUSIZ7MLFUGIAOXCOJP65V4G/bundle.json","state":"https://pith.science/pith/D6EUSIZ7MLFUGIAOXCOJP65V4G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D6EUSIZ7MLFUGIAOXCOJP65V4G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:D6EUSIZ7MLFUGIAOXCOJP65V4G","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":"c6cd3beabaeb42294c6cfac02d25282fcb3c2dc3affea5bda5fc796d2534052f","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-29T21:37:04Z","title_canon_sha256":"0abcc4981645a082f729714a212634c3ea765488bccfea914c348a956fa020a5"},"schema_version":"1.0","source":{"id":"2410.22552","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.22552","created_at":"2026-07-05T09:28:18Z"},{"alias_kind":"arxiv_version","alias_value":"2410.22552v1","created_at":"2026-07-05T09:28:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.22552","created_at":"2026-07-05T09:28:18Z"},{"alias_kind":"pith_short_12","alias_value":"D6EUSIZ7MLFU","created_at":"2026-07-05T09:28:18Z"},{"alias_kind":"pith_short_16","alias_value":"D6EUSIZ7MLFUGIAO","created_at":"2026-07-05T09:28:18Z"},{"alias_kind":"pith_short_8","alias_value":"D6EUSIZ7","created_at":"2026-07-05T09:28:18Z"}],"graph_snapshots":[{"event_id":"sha256:c96dbab85f46921ab20255af74aca6cbf375203bb09772ff058eba68d44da7d8","target":"graph","created_at":"2026-07-05T09:28:18Z","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/2410.22552/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we introduce Auto-Intent, a method to adapt a pre-trained large language model (LLM) as an agent for a target domain without direct fine-tuning, where we empirically focus on web navigation tasks. Our approach first discovers the underlying intents from target domain demonstrations unsupervisedly, in a highly compact form (up to three words). With the extracted intents, we train our intent predictor to predict the next intent given the agent's past observations and actions. In particular, we propose a self-exploration approach where top-k probable intent predictions are provided","authors_text":"Dong-Ki Kim, Honglak Lee, Jaekyeom Kim, Lajanugen Logeswaran, Sungryull Sohn","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-29T21:37:04Z","title":"Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.22552","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:a74d89dc52af3947b97be82e6f81e1d10ecfbe4def957b3bb1774f4bf3bf53da","target":"record","created_at":"2026-07-05T09:28:18Z","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":"c6cd3beabaeb42294c6cfac02d25282fcb3c2dc3affea5bda5fc796d2534052f","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-29T21:37:04Z","title_canon_sha256":"0abcc4981645a082f729714a212634c3ea765488bccfea914c348a956fa020a5"},"schema_version":"1.0","source":{"id":"2410.22552","kind":"arxiv","version":1}},"canonical_sha256":"1f8949233f62cb43200eb89c97fbb5e18647c854df440c120a83264bc58d6b48","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f8949233f62cb43200eb89c97fbb5e18647c854df440c120a83264bc58d6b48","first_computed_at":"2026-07-05T09:28:18.272630Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:28:18.272630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YYjZrgSZq4ieF/pwee2uR3+sJTWsdeY3M3UfBzVZjOJyW49Si7v3XVWQz1fzw2/So4GlTDFOp37211WiCJPUAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:28:18.273110Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.22552","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a74d89dc52af3947b97be82e6f81e1d10ecfbe4def957b3bb1774f4bf3bf53da","sha256:c96dbab85f46921ab20255af74aca6cbf375203bb09772ff058eba68d44da7d8"],"state_sha256":"0c73c454180f29e8dbfea251d6966c15acd1ad9eee339279c9c701631f15cde4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rpFob7d7mCFqps+9R1K/fMD8LT8u4aoIULhu7kkkwZI7rjEc+C4UQ446KDbMmjnhcyIA2k1+q3RVM0LxaiUcDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T17:38:28.778543Z","bundle_sha256":"b026c37e75370a65dbf06658f38de8304b3ec66f8437758bcf329f8ec0699ad3"}}