{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LOQV2DOILBRGUDAAGX4UDYRNTD","short_pith_number":"pith:LOQV2DOI","canonical_record":{"source":{"id":"2605.17969","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T07:26:45Z","cross_cats_sorted":[],"title_canon_sha256":"b8f4dae620f837128a96d578f68c5cf278dd6b9b9b7d9dabe104442185f06de7","abstract_canon_sha256":"ac661b1ff4fcdb5e1bbb9cf5daec7d945b685b0bf28a812d91c7918891a13f3e"},"schema_version":"1.0"},"canonical_sha256":"5ba15d0dc858626a0c0035f941e22d98f17296f1d223b8da3e80dee33e6cfadf","source":{"kind":"arxiv","id":"2605.17969","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17969","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17969v1","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17969","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"pith_short_12","alias_value":"LOQV2DOILBRG","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"pith_short_16","alias_value":"LOQV2DOILBRGUDAA","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"pith_short_8","alias_value":"LOQV2DOI","created_at":"2026-05-20T00:05:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LOQV2DOILBRGUDAAGX4UDYRNTD","target":"record","payload":{"canonical_record":{"source":{"id":"2605.17969","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T07:26:45Z","cross_cats_sorted":[],"title_canon_sha256":"b8f4dae620f837128a96d578f68c5cf278dd6b9b9b7d9dabe104442185f06de7","abstract_canon_sha256":"ac661b1ff4fcdb5e1bbb9cf5daec7d945b685b0bf28a812d91c7918891a13f3e"},"schema_version":"1.0"},"canonical_sha256":"5ba15d0dc858626a0c0035f941e22d98f17296f1d223b8da3e80dee33e6cfadf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:08.674686Z","signature_b64":"58iHyN/lLzBY6N6MTDv+qBFabE5INtm90GSXyWGfOCD/r3ZLYkBNoLtBQh6LZEdGP585hW8BiRYLlrKC4VexBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ba15d0dc858626a0c0035f941e22d98f17296f1d223b8da3e80dee33e6cfadf","last_reissued_at":"2026-05-20T00:05:08.673834Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:08.673834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.17969","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":"2026-05-20T00:05:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ziJ3QVnnJJuOk1s3rwkC8ZQ73R1V3bcGHO0kJmNczdDrA91Op4BoW5C/klffCBXsqps38Wah6ECBcVRZhWoVDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T04:39:39.254622Z"},"content_sha256":"c718bce86f696345b7825b774c299c39f38df32a8d7db0af7b981d8b4faec7e8","schema_version":"1.0","event_id":"sha256:c718bce86f696345b7825b774c299c39f38df32a8d7db0af7b981d8b4faec7e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LOQV2DOILBRGUDAAGX4UDYRNTD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generation Navigator: A State-Aware Agentic Framework for Image Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jinming Liu, Ruoyu Feng, Wenjun Zeng, Xin Jin, Yuqi Wang","submitted_at":"2026-05-18T07:26:45Z","abstract_excerpt":"Despite rapid advances in text-to-image generation, faithfully realizing user intent remains challenging, often requiring manual multi-turn trial and error. To automate this process, existing systems rely on either simple prompt rewriting or closed-loop agents driven by hand-crafted rules, rather than learning to adapt actions to the evolving generation process. In this paper, we reformulate image generation as a state-conditioned action-making problem and propose Generation Navigator, a multi-turn T2I agent that learns to dynamically steer the generation trajectory and output the next action."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17969","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/2605.17969/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.577447Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"4b68af7564aa8cf8ec10ba78b2cddc8185289c1a7bed84085f2d20d2e1235415"},"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":"2026-05-20T00:05:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yLjL3CA5sCPEZMEO8UyCFBimr/NWLbS+uJxwoVXz0aqCcmnZIhCEUc/4+Yfns9aSs3B8U7fUniyjCgTz5xRQAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T04:39:39.255017Z"},"content_sha256":"ba89298038c2634bfdea5afc2c4328029a401d3cbed93ceb37be49332c6fe9db","schema_version":"1.0","event_id":"sha256:ba89298038c2634bfdea5afc2c4328029a401d3cbed93ceb37be49332c6fe9db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LOQV2DOILBRGUDAAGX4UDYRNTD/bundle.json","state_url":"https://pith.science/pith/LOQV2DOILBRGUDAAGX4UDYRNTD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LOQV2DOILBRGUDAAGX4UDYRNTD/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":"2026-06-03T04:39:39Z","links":{"resolver":"https://pith.science/pith/LOQV2DOILBRGUDAAGX4UDYRNTD","bundle":"https://pith.science/pith/LOQV2DOILBRGUDAAGX4UDYRNTD/bundle.json","state":"https://pith.science/pith/LOQV2DOILBRGUDAAGX4UDYRNTD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LOQV2DOILBRGUDAAGX4UDYRNTD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LOQV2DOILBRGUDAAGX4UDYRNTD","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":"ac661b1ff4fcdb5e1bbb9cf5daec7d945b685b0bf28a812d91c7918891a13f3e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T07:26:45Z","title_canon_sha256":"b8f4dae620f837128a96d578f68c5cf278dd6b9b9b7d9dabe104442185f06de7"},"schema_version":"1.0","source":{"id":"2605.17969","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17969","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17969v1","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17969","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"pith_short_12","alias_value":"LOQV2DOILBRG","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"pith_short_16","alias_value":"LOQV2DOILBRGUDAA","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"pith_short_8","alias_value":"LOQV2DOI","created_at":"2026-05-20T00:05:08Z"}],"graph_snapshots":[{"event_id":"sha256:ba89298038c2634bfdea5afc2c4328029a401d3cbed93ceb37be49332c6fe9db","target":"graph","created_at":"2026-05-20T00:05:08Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.577447Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.17969/integrity.json","findings":[],"snapshot_sha256":"4b68af7564aa8cf8ec10ba78b2cddc8185289c1a7bed84085f2d20d2e1235415","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite rapid advances in text-to-image generation, faithfully realizing user intent remains challenging, often requiring manual multi-turn trial and error. To automate this process, existing systems rely on either simple prompt rewriting or closed-loop agents driven by hand-crafted rules, rather than learning to adapt actions to the evolving generation process. In this paper, we reformulate image generation as a state-conditioned action-making problem and propose Generation Navigator, a multi-turn T2I agent that learns to dynamically steer the generation trajectory and output the next action.","authors_text":"Jinming Liu, Ruoyu Feng, Wenjun Zeng, Xin Jin, Yuqi Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T07:26:45Z","title":"Generation Navigator: A State-Aware Agentic Framework for Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17969","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:c718bce86f696345b7825b774c299c39f38df32a8d7db0af7b981d8b4faec7e8","target":"record","created_at":"2026-05-20T00:05:08Z","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":"ac661b1ff4fcdb5e1bbb9cf5daec7d945b685b0bf28a812d91c7918891a13f3e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T07:26:45Z","title_canon_sha256":"b8f4dae620f837128a96d578f68c5cf278dd6b9b9b7d9dabe104442185f06de7"},"schema_version":"1.0","source":{"id":"2605.17969","kind":"arxiv","version":1}},"canonical_sha256":"5ba15d0dc858626a0c0035f941e22d98f17296f1d223b8da3e80dee33e6cfadf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5ba15d0dc858626a0c0035f941e22d98f17296f1d223b8da3e80dee33e6cfadf","first_computed_at":"2026-05-20T00:05:08.673834Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:05:08.673834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"58iHyN/lLzBY6N6MTDv+qBFabE5INtm90GSXyWGfOCD/r3ZLYkBNoLtBQh6LZEdGP585hW8BiRYLlrKC4VexBA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:05:08.674686Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.17969","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c718bce86f696345b7825b774c299c39f38df32a8d7db0af7b981d8b4faec7e8","sha256:ba89298038c2634bfdea5afc2c4328029a401d3cbed93ceb37be49332c6fe9db"],"state_sha256":"cee63f6aef5cd86b59fe4ce6a0eb029f427e1235b2eac6889bfe2b89bae5a477"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AcnX0bc/a12Q2M//6qkq0vYMuIwYy0WSuP7xOvDTyB83Wna1EUHYI3S/VGMAzpuYRhYqW1m/RfVpMPuuJsVBDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T04:39:39.257046Z","bundle_sha256":"a7cd464698d133824fa0a0a3ecc21227c2b540e8057d47012270d9d03cce1fa6"}}