{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:Y5HUYPI43BYORZXADHLCCFWVNQ","short_pith_number":"pith:Y5HUYPI4","canonical_record":{"source":{"id":"2606.28971","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-27T15:21:47Z","cross_cats_sorted":[],"title_canon_sha256":"91188edbaf8e74d3220569a4c0d2adc2175f679b6e967d3ad29d98889f9cd384","abstract_canon_sha256":"a77de6ccfc84d25a35cf7c854000ff806eace3d9afd285a27e8e9c23f2226728"},"schema_version":"1.0"},"canonical_sha256":"c74f4c3d1cd870e8e6e019d62116d56c2d0eff3493b8b4083bed9a2fefd245d5","source":{"kind":"arxiv","id":"2606.28971","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.28971","created_at":"2026-06-30T01:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"2606.28971v1","created_at":"2026-06-30T01:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28971","created_at":"2026-06-30T01:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"Y5HUYPI43BYO","created_at":"2026-06-30T01:17:47Z"},{"alias_kind":"pith_short_16","alias_value":"Y5HUYPI43BYORZXA","created_at":"2026-06-30T01:17:47Z"},{"alias_kind":"pith_short_8","alias_value":"Y5HUYPI4","created_at":"2026-06-30T01:17:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:Y5HUYPI43BYORZXADHLCCFWVNQ","target":"record","payload":{"canonical_record":{"source":{"id":"2606.28971","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-27T15:21:47Z","cross_cats_sorted":[],"title_canon_sha256":"91188edbaf8e74d3220569a4c0d2adc2175f679b6e967d3ad29d98889f9cd384","abstract_canon_sha256":"a77de6ccfc84d25a35cf7c854000ff806eace3d9afd285a27e8e9c23f2226728"},"schema_version":"1.0"},"canonical_sha256":"c74f4c3d1cd870e8e6e019d62116d56c2d0eff3493b8b4083bed9a2fefd245d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T01:17:47.751830Z","signature_b64":"8hlOzUYbN0gEo/vD+F1go6HSl7f2gNjeJtqKVxVgHzV6jLdnxsUkeqQtLUBixHqGMCtmyJPjAhJKSqte7NaUDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c74f4c3d1cd870e8e6e019d62116d56c2d0eff3493b8b4083bed9a2fefd245d5","last_reissued_at":"2026-06-30T01:17:47.751371Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T01:17:47.751371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.28971","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":"2026-06-30T01:17:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VS4BVGyt9U1Obh2lgDZKzWnM5LNAkx/ewAehthccf6GJ04Z65iwZpIfkmFXgRd1C6977gNNu5RiqQ3vxpGESCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T12:13:07.393476Z"},"content_sha256":"a107f377789774665f80166c83de6d4bd15dc6fd1fc9ec1c6379616fb4e3065f","schema_version":"1.0","event_id":"sha256:a107f377789774665f80166c83de6d4bd15dc6fd1fc9ec1c6379616fb4e3065f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:Y5HUYPI43BYORZXADHLCCFWVNQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-Evolving Agentic Image Restoration via Deliberate Planning and Intuitive Execution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fan Ji, Fanjiang Xu, Guanglong Sun, Jiangmeng Li, Shuang Cui, Xiongxin Tang, Yufei Guo","submitted_at":"2026-06-27T15:21:47Z","abstract_excerpt":"Real-world image restoration (IR) remains challenging due to complex and coupled degradations. While recent agentic IR frameworks leverage Large Language Models for flexible tool planning, they face two critical limitations. First, from a search scheme perspective, excessive reliance on greedy strategies fails to balance exploration and exploitation. Second, existing agentic systems underutilize information, exhibiting episodic amnesia. To address these challenges, we propose \\textbf{Self-Evolving Agentic Image Restoration (SEAR)}, which formulates restoration as a sequential decision-making p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28971","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/2606.28971/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":"2026-06-30T01:17:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VuAJlqnzQYHVmoSUDCRdtgICyUNhc9jvnlhZPyg8sKUT7rPYPzO5CU9QpFSg61pyts0xFfnsCJf8dzsXLMdwBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T12:13:07.393854Z"},"content_sha256":"b8f606f455e8ce12b139099d590d66bec3c9919395c2d602292ff073d4842549","schema_version":"1.0","event_id":"sha256:b8f606f455e8ce12b139099d590d66bec3c9919395c2d602292ff073d4842549"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y5HUYPI43BYORZXADHLCCFWVNQ/bundle.json","state_url":"https://pith.science/pith/Y5HUYPI43BYORZXADHLCCFWVNQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y5HUYPI43BYORZXADHLCCFWVNQ/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":"2026-07-01T12:13:07Z","links":{"resolver":"https://pith.science/pith/Y5HUYPI43BYORZXADHLCCFWVNQ","bundle":"https://pith.science/pith/Y5HUYPI43BYORZXADHLCCFWVNQ/bundle.json","state":"https://pith.science/pith/Y5HUYPI43BYORZXADHLCCFWVNQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y5HUYPI43BYORZXADHLCCFWVNQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:Y5HUYPI43BYORZXADHLCCFWVNQ","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":"a77de6ccfc84d25a35cf7c854000ff806eace3d9afd285a27e8e9c23f2226728","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-27T15:21:47Z","title_canon_sha256":"91188edbaf8e74d3220569a4c0d2adc2175f679b6e967d3ad29d98889f9cd384"},"schema_version":"1.0","source":{"id":"2606.28971","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.28971","created_at":"2026-06-30T01:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"2606.28971v1","created_at":"2026-06-30T01:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28971","created_at":"2026-06-30T01:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"Y5HUYPI43BYO","created_at":"2026-06-30T01:17:47Z"},{"alias_kind":"pith_short_16","alias_value":"Y5HUYPI43BYORZXA","created_at":"2026-06-30T01:17:47Z"},{"alias_kind":"pith_short_8","alias_value":"Y5HUYPI4","created_at":"2026-06-30T01:17:47Z"}],"graph_snapshots":[{"event_id":"sha256:b8f606f455e8ce12b139099d590d66bec3c9919395c2d602292ff073d4842549","target":"graph","created_at":"2026-06-30T01:17:47Z","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/2606.28971/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-world image restoration (IR) remains challenging due to complex and coupled degradations. While recent agentic IR frameworks leverage Large Language Models for flexible tool planning, they face two critical limitations. First, from a search scheme perspective, excessive reliance on greedy strategies fails to balance exploration and exploitation. Second, existing agentic systems underutilize information, exhibiting episodic amnesia. To address these challenges, we propose \\textbf{Self-Evolving Agentic Image Restoration (SEAR)}, which formulates restoration as a sequential decision-making p","authors_text":"Fan Ji, Fanjiang Xu, Guanglong Sun, Jiangmeng Li, Shuang Cui, Xiongxin Tang, Yufei Guo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-27T15:21:47Z","title":"Self-Evolving Agentic Image Restoration via Deliberate Planning and Intuitive Execution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28971","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:a107f377789774665f80166c83de6d4bd15dc6fd1fc9ec1c6379616fb4e3065f","target":"record","created_at":"2026-06-30T01:17:47Z","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":"a77de6ccfc84d25a35cf7c854000ff806eace3d9afd285a27e8e9c23f2226728","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-27T15:21:47Z","title_canon_sha256":"91188edbaf8e74d3220569a4c0d2adc2175f679b6e967d3ad29d98889f9cd384"},"schema_version":"1.0","source":{"id":"2606.28971","kind":"arxiv","version":1}},"canonical_sha256":"c74f4c3d1cd870e8e6e019d62116d56c2d0eff3493b8b4083bed9a2fefd245d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c74f4c3d1cd870e8e6e019d62116d56c2d0eff3493b8b4083bed9a2fefd245d5","first_computed_at":"2026-06-30T01:17:47.751371Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:17:47.751371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8hlOzUYbN0gEo/vD+F1go6HSl7f2gNjeJtqKVxVgHzV6jLdnxsUkeqQtLUBixHqGMCtmyJPjAhJKSqte7NaUDQ==","signature_status":"signed_v1","signed_at":"2026-06-30T01:17:47.751830Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.28971","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a107f377789774665f80166c83de6d4bd15dc6fd1fc9ec1c6379616fb4e3065f","sha256:b8f606f455e8ce12b139099d590d66bec3c9919395c2d602292ff073d4842549"],"state_sha256":"b4b902fba8398f1edbec442e185bfcff19ee2e025db42fd6b968a927e3a30b05"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4x93sGCWVcH3uA82X6ZUzY+acWFFB1lx4YLy6u7SeJH+m/7fGHc+H4S2AJwPPlGnYG2xCswRTsr9/rETIkgqCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T12:13:07.396493Z","bundle_sha256":"212ab6bf75d472677d6cb38fe5f261d1e08ee0642b14c35a7ff3f70d48a5d573"}}